From h.abbass at adfa.edu.au Sat Apr 1 00:44:51 2017 From: h.abbass at adfa.edu.au (Hussein Abbass) Date: Sat, 1 Apr 2017 04:44:51 +0000 Subject: Connectionists: Two Post-doctoral Positions in Machine Learning at UNSW-Canberra, Australia Message-ID: Two post-doctoral positions in Machine Learning are available at The Trusted Autonomy Group, University of New South Wales, Canberra Campus, Australia. Project 1 (1-year extendable to 3 years): The successful candidate will work with a multi-disciplinary research team on an Australian Research Council funded project to design new deep learning and (deep) reinforcement learning algorithms to learn human cognitive indicators for closed-loop trusted human-simulation interaction tasks. Project 2 (1-year extendable to 2 years): The successful candidate will work with a multi-disciplinary research team on a Defence Science and Technology Group funded project to design new machine learning techniques for cognitive activity recognition and automatic task analysis for closed-loop trusted human-machine interaction tasks. Positions will close 12 midnight 23 April 2017 (Australian Easter Time). The selection process will start immediately after the closing date and the successful candidates are expected to start July/August 2017 or by negotiation. For information on how to apply, visit Project 1: https://www.unsw.adfa.edu.au/research-associate-arc Project 2: https://www.unsw.adfa.edu.au/post-doctoral-fellow-0 Applicants must address every selection criterion with evidences. Inquiries should be directed to Prof. Hussein Abbass at both h.abbass at adfa.edu.au and hussein.abbass at gmail.com Kind regards, Hussein Prof. Hussein Abbass (FORS, FACS, FAIM, MHFES) | School of Engineering and Information Technology | University of New South Wales - Canberra at the Australian Defence Force Academy Campus | Canberra, ACT 2600, Australia | Web: http://www.husseinabbass.net/| Tel:+61-2-62688158 | Fax: +61-2-62688276 | Twitter: @HusseinAbbassOz | LinkedIn: www.linkedin.com/in/HusseinAbbassOz Vice-President Technical Activities (2016-2017) - IEEE Computational Intelligence Society National President - Australian Society for Operations Research Associate Editor: IEEE Transactions on Evolutionary Computation; IEEE Transactions on Cognitive and Developmental Systems; IEEE Transactions on Cybernetics Read for Free my Recent Open Access Papers Abbass H.A., Petraki E., Merrick K., Harvey J., and Barlow M. (2016) Trusted Autonomy and Cognitive Cyber Symbiosis: Open Challenges, Cognitive Computation, 8(3), 385-408. 10. 1007/s12559-015-9365-5. Free Download from http://rd.springer.com/article/10.1007/s12559-015-9365-5 Abbass H.A., Leu G., and Merrick K. (2016) A Review of Theoretical and Practical Challenges of Trusted Autonomy in Big Data, IEEE Access, 4, 2808 - 2830, doi:10.1109/ACCESS.2016.2571058. Free Download from http://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=7480763 Wang S.L., Shafi, K., Foo, N.T., Lokan C., and Abbass H.A. (2017) Contrasting Human and Computational Intelligence-Based Autonomous Behaviours in a Blue-Red Simulation Environment, IEEE Tranasctions on Emerging Topics in Computational Intelligence, Accepted to Appear. Free Download from http://ieeexplore.ieee.org/document/7820081/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From lpulina at uniss.it Sat Apr 1 04:11:44 2017 From: lpulina at uniss.it (Luca Pulina) Date: Sat, 1 Apr 2017 10:11:44 +0200 Subject: Connectionists: QBFEVAL'17 - Registration is now open Message-ID: <11d1d4df-5df8-6930-def1-bb21496b2909@uniss.it> [apologies for any cross-posting] ****************************************************************** QBFEVAL'17 - Competitive Evaluation of QBF Solvers Call for Participation A joint event with SAT 2017 - The 20th International Conference on Theory and Applications of Satisfiability Testing, 28 August - 1 September, Melbourne, Australia (2017) ****************************************************************** QBFEVAL'17 will be the 2017 competitive evaluation of QBF solvers, and the twelfth evaluation of QBF solvers and instances ever. QBFEVAL'17 will award solvers that stand out as being particularly effective on specific categories of QBF instances. The evaluation will run using the computing infrastructure made available by StarExec. We warmly encourage developers of QBF solvers to submit their work, even at early stages of development, as long as it fulfills some very simple requirements. We also welcome the submission of QBF formulas to be used for the evaluation. Researchers thinking about using QBF-based techniques in their area (e.g., formal verification, planning, knowledge reasoning) are invited to contribute to the evaluation by submitting QBF instances of their research problems (see the requirements for instances). The results of the evaluation will be a good indicator of the current feasibility of QBF-based approaches and a stimulus for people working on QBF solvers to further enhance their tools. Details about solvers and benchmarks submission, tracks, and related rules, are available at http://www.qbflib.org/qbfeval17.php For questions, comments and any other issue regarding QBFEVAL'17, please get in touch with qbf17 at qbflib.org. Important Dates Registration open: April 1st 2017 Registration close: May 22nd 2017 Solvers and Benchmarks due: May 30th 2017 Final results: presented at SAT'17 Organizing committee Organization Luca Pulina, University of Sassari Martina Seidl, Johannes Kepler Universit?t Linz Judges Olaf Beyersdorff, University of Leeds Daniel Le Berre, Universit? d'Artois Martin Suda, Technische Universit?t Wien Christoph Wintersteiger, Microsoft Research Limited -- Luca Pulina, Ph.D. Assistant Professor of Computer Science POLCOMING - Department of Political Science, Communication, Engineering and Information Technologies University of Sassari e-mail lpulina at uniss.it http://sites.google.com/site/lpulina From beierh at gmail.com Sun Apr 2 20:19:18 2017 From: beierh at gmail.com (Ulrik Beierholm) Date: Mon, 3 Apr 2017 01:19:18 +0100 Subject: Connectionists: Post-Doc and PhD positions available at Durham University In-Reply-To: References: Message-ID: Dear all, We have vacancies coming up for a post-doc and a PhD student on a 3-year Leverhulme-funded project, ?Learning to perceive and act under uncertainty?. The project is supervised by Marko Nardini and Ulrik Beierholm at Durham University (UK) and aims to understand how humans learn new sensory and motor mappings and new perceptual priors for perception and action under uncertainty. The post-doc will work on behavioural studies with adults and computational modelling, while the PhD student will address development in childhood. The postdoc can be from anywhere, but the PhD studentship pays only UK or EU tuition fees. Prospective applicants can find all the details at http://community.dur.ac.uk/marko.nardini/ and are welcome to contact marko.nardini at durham.ac.uk and ulrik.beierholm at durham.ac.uk for any more information. ------------------------------------------- Ulrik Beierholm, PhD Assistant Professor Department of Psychology, Durham University http://beierholm.net -------------- next part -------------- An HTML attachment was scrubbed... URL: From he at ele.uri.edu Sat Apr 1 09:06:09 2017 From: he at ele.uri.edu (Haibo He) Date: Sat, 1 Apr 2017 09:06:09 -0400 Subject: Connectionists: ICONIP 2017 Call for Papers (Nov. 2017, Guangzhou, China) Message-ID: <58BFEF1A-ACDE-45ED-8A81-73E0F7619C0E@ele.uri.edu> ICONIP 2017 aims to provide a high-level international forum for scientists, researchers, educators, industrial professionals, and students worldwide to present state-of-the-art research results, address new challenges, and discuss trends in neural information processing and applications. ICONIP 2017 invites scholars in all areas of neural network theory and applications, computational neuroscience, machine learning, and others. In addition to regular technical sessions with oral and poster presentations, the conference program will include invited sessions and tutorials on topics of current interest. ICONIP 2017 features plenary/keynote and panel discussion sessions by world leading researchers as well as awards to honor outstanding papers presented at this conference. ICONIP 2017 welcomes proposals for invited sessions reporting innovative research results on focused topics and tutorials and workshops on novel emerging research topics. Please visit www.iconip2017.org for instructions on how to submit invited session and tutorial/workshop proposals. The deadline is May 10, 2017. To submit papers, please visit www.iconip2017.org Areas and topics of contributed papers include but are not limited to the following: A. Theory and Algorithms A01. Neurodynamics A02. Machine learning A03. Deep neural networks A04. Computational intelligence A05. Computer vision A06. Pattern recognition A07. Speech processing A08. Time series analysis A09. Reinforcement learning A10. Bayesian networks B. Computational and Cognitive Neurosciences B01. Sensory perception B02. Motor control B03. Decision making B04. Social cognition B05. Emotion and reward B06. Neuroeconomics B07. Computational psychiatry B08. Brain-machine interface B09. Neural data analysis C. Applications C01. Big data analysis C02. Robotics and control C03. Bioinformatics C04. Biomedical engineering C05. Neuromorphic hardware C06. Data mining C07. Information security C08. Social networks C09. Computational finance C10. Sports and rehabilitation On behalf of the organizing committee of ICONIP 2017 Derong Liu, General Chair Shengli Xie, Program Chair Yuanqing Li, Program Chair Dongbin Zhao, Program Chair El-Sayed M. El-Alfy, Program Chair -------------- next part -------------- An HTML attachment was scrubbed... URL: From volker.roth at unibas.ch Sat Apr 1 11:40:51 2017 From: volker.roth at unibas.ch (Volker Roth) Date: Sat, 1 Apr 2017 15:40:51 +0000 Subject: Connectionists: GCPR 2017 in Basel, Switzerland: Extended deadline Message-ID: GCPR 2017 (the 39th annual symposium of the German Association for Pattern Recognition): NEW SUBMISSION DEADLINE (was April 08): April 19, 2017. Plese vistit https://gcpr2017.dmi.unibas.ch/en/ for further information. -------------- next part -------------- An HTML attachment was scrubbed... URL: From nicosia at dmi.unict.it Mon Apr 3 08:41:30 2017 From: nicosia at dmi.unict.it (Giuseppe Nicosia) Date: Mon, 3 Apr 2017 14:41:30 +0200 Subject: Connectionists: Machine learning, Optimization & big Data - MOD 2017 Call for Papers - Deadline extended: May 15, 2017 Message-ID: MOD 2017: The 3rd International Conference on Machine learning, Optimization & big Data An Interdisciplinary Conference: Machine Learning, Optimization and Data Science without Borders ======================================================= September 14 - 17, 2017 Volterra (Pisa) Tuscany, Italy http://www.taosciences.it/mod/ Important dates =============== * Full Paper Submissions: May 15, 2017 * Full Paper Notifications: June 30, 2017 * Conference: September 14 - 17, 2017 Keynote Speakers =============== + Georgios Giannakis, Department of Electrical and Computer Engineering, University of Minnesota, Director of Digital Technology Center, USA (TBC) + Yi-Ke Guo, Department of Computing, Faculty of Engineering, Imperial College London, UK Founding Director of Data Science Institute. + Ruslan Salakhutdinov, Machine Learning Department, School of Computer Science at Carnegie Mellon University, USA. Director of AI Research at Apple. + Jun Pei, Hefei University of Technology, China Best Paper Awards =============== Springer sponsors the MOD 2017 Best Paper Award with a cash prize of EUR 1,000. The Award will be conferred at the conference on the authors of the best paper award. Tutorial =============== + ?Tutorial on Scalable Data Mining on Cloud Computing Systems? Domenico Talia, University of Calabria, Italy Special Session =============== + "Metaheuristics and Multi-Objective optimization for Big Data" Clarisse Dhaenens, University of Lille, France Laetitia Jourdan, University of Lille, France The International Conference on Machine learning, Optimization, and big Data (MOD) has established itself as a premier interdisciplinary conference in machine learning, computational optimization, knowledge discovery and data science. It provides an international forum for presentation of original multidisciplinary research results, as well as exchange and dissemination of innovative and practical development experiences. The conference will consist of four days of conference sessions. We invite submissions of papers on all topics related to Machine learning, Optimization, Knowledge Discovery and Data Science including real-world applications for the Conference Proceedings (Springer - Lecture Notes in Computer Science - LNCS). Topics of Interest The last five-year period has seen a impressive revolution in the theory and application of machine learning, optimization and big data. Topics of interest include, but are not limited to: * Foundations, algorithms, models and theory of data science, including big data mining. * Machine learning and statistical methods for big data. * Machine Learning algorithms and models. Neural Networks and Learning Systems. Convolutional neural networks. * Unsupervised, semi-supervised, and supervised Learning. * Knowledge Discovery. Learning Representations. Representation learning for planning and reinforcement learning. * Metric learning and kernel learning. Sparse coding and dimensionality expansion. Hierarchical models. Learning representations of outputs or states. * Multi-objective optimization. Optimization and Game Theory. Surrogate-assisted Optimization. Derivative-free Optimization. * Big data Mining from heterogeneous data sources, including text, semi-structured, spatio-temporal, streaming, graph, web, and multimedia data. * Big Data mining systems and platforms, and their efficiency, scalability, security and privacy. * Computational optimization. Optimization for representation learning. Optimization under Uncertainty * Optimization algorithms for Real World Applications. Optimization for Big Data. Optimization and Machine Learning. * Implementation issues, parallelization, software platforms, hardware * Big Data mining for modeling, visualization, personalization, and recommendation. * Big Data mining for cyber-physical systems and complex, time-evolving networks. * Applications in social sciences, physical sciences, engineering, life sciences, web, marketing, finance, precision medicine, health informatics, medicine and other domains. We particularly encourage submissions in emerging topics of high importance such as data quality, advanced deep learning, time-evolving networks, large multi-objective optimization, quantum discrete optimization, learning representations, big data mining and analytics, cyber-physical systems, heterogeneous data integration and mining, autonomous decision and adaptive control. Submission Guidelines =============== Paper submissions should be limited to a maximum of 12 pages, in the Springer LNCS format: http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 including the bibliography and any possible appendices. All submissions will be 6-blind reviewed by the Program Committee on the basis of technical quality, significance, multidisciplinary, relevance to scope of the conference, originality and clarity. https://easychair.org/conferences/?conf=mod2017 Types of Submissions =============== When submitting a paper to MOD 2017, authors are required to select one of the following four types of papers: + Long paper: original novel and unpublished work (max. 12 pages in Springer LNCS format); + Short paper: an extended abstract of novel work (max. 4 pages); + Work for oral presentation only (no page restriction; any format). For example, work already published elsewhere, which is relevant and which may solicit fruitful discussion at the conference; + Abstract for poster presentation only (max. 2 pages). The poster format for the presentation is A0 (118.9 cm high and 84.1 cm wide, respectively 46.8 x 33.1 inch). For research work which is relevant and which may solicit fruitful discussion at the conference. Post-Proceedings =============== All accepted long papers will be published in a volume of the series 'Lecture Notes in Computer Science' from Springer *after* the conference. Instructions for preparing and submitting the final versions (camera-ready papers) of all accepted papers will be available later on. All the other papers (short papers, abstracts of the oral presentations, abstracts for the poster presentations) will be published on the MOD 2017 web site. Presentation =============== MOD uses the single session formula of 30 minutes presentations for fruitful exchanges between authors and participants. Attendance =============== MOD is a premier forum for presenting and discussing current research in machine learning, optimization and big data. Therefore, at least one author of each accepted paper must complete the conference registration and present the paper at the conference, in order for the paper to be included in the proceedings and conference program. Organization =============== General Chair: Renato Umeton, Harvard University, USA Program Co-Chairs: Giovanni Giuffrida, University of Catania, Italy & Neodata Group Giuseppe Nicosia, University of Catania, Italy Panos Pardalos, University of Florida, USA Special Session Co-Chairs: Giuseppe Narzisi, New York University Tandon School of Engineering & New York Genome Center, New York, USA Workshop Co-Chair: Piero Conca, CNR, Italy Industrial Panel Chairs: Ilaria Bordino, Marco Firrincieli, Fabio Fumarola, and Francesco Gullo, UniCredit R&D Publicity Chair: Giovanni Murabito, DiGi Apps Inc. W: http://www.taosciences.it/mod/ E: modworkshop2017 at gmail.com -- Giuseppe Nicosia, Ph.D. Associate Professor of Computer Science Dept of Mathematics & Computer Science University of Catania Viale A. Doria, 6 - 95125 Catania, Italy P +39 095 7383048 nicosia at dmi.unict.it http://www.dmi.unict.it/nicosia ================================================================== 4th International Synthetic & Systems Biology Summer School - SSBSS 2017 * Biology meets Computer Science & Engineering * July 17-21, 2017 - University of Cambridge, Robinson College, UK http://www.taosciences.it/ssbss/ Contact Email: ssbss.school at gmail.com FB: https://www.facebook.com/ssbss.school/ SSBSS - Synthetic & Systems Biology Summer School Group: https://www.facebook.com/groups/238417586492061/ Computational Synthetic Biology Group: https://www.facebook.com/groups/1014624245288596/ ================================================================== 3rd International Conference on Machine learning, Optimization & big Data - MOD 2017 An Interdisciplinary Conference: Machine Learning, Optimization and Data Science without Borders September 14-17, 2017 - Volterra (Pisa), Tuscany, Italy modworkshop2017 at gmail.com http://www.taosciences.it/mod/ ================================================================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From laurenz.wiskott at rub.de Mon Apr 3 10:51:37 2017 From: laurenz.wiskott at rub.de (Laurenz Wiskott) Date: Mon, 3 Apr 2017 16:51:37 +0200 Subject: Connectionists: 2 fully funded PhD positions in machine learning with Prof. Laurenz Wiskott in Bochum, Germany Message-ID: <20170403145137.GC17263@garlic> Please forward this job advertisement to candidates who might be interested. Thanks, Laurenz Wiskott. ___________________________________________________________________________ Open positions for three PhD students with Prof. Laurenz Wiskott at the Institute for Neural Computation, Bochum, Germany ___________________________________________________________________________ Institute: Institute for Neural Computation Ruhr-University Bochum Universitaetsstr. 150 D-44801 Bochum, Germany, EU The Institute for Neural Computation is a central research institute at the Ruhr-University Bochum, see https://www.ini.rub.de/. It focuses on dynamics and learning of perception and behavior on a functional level but is otherwise very diverse, ranging from neurophysiology and psychophysics over computational neuroscience to machine learning and technical applications. Research group: Prof. Dr. Laurenz Wiskott, see http://www.ini.ruhr-uni-bochum.de/PEOPLE/wiskott/ Research topics: We are looking for outstanding candidates who will be working on algorithms for continual (life long) learning with an emphasis on the interplay between unsupervised feature learning and memory-based reinforcement learning. The position is part of a team working jointly on developing a self-organizing vision-based agent that learns to navigate and adapt to changes in its environment. Interested candidates have also the opportunity to be involved with our related ongoing collaborative projects in the field of computational neuroscience on modeling hippocampal function and navigation. The group largely works with and contributes to the Modular toolkit for Data Processing (MDP toolkit) written in Python. Teaching: There is a teaching load of 3 hours per week during the semester, in particular for a programming course in python. Time: The positions are available immediately. The appointments will be for three years and can then be extended for one more years if needed. Requirements: Candidates should have an education in computer science, physics, mathematics, electrical engineering or any related field. Required are strong mathematical and programming skills as well as the ability to communicate and work well in a team. Salary: Salary is 75% of salary scale TV-L E13. Inquiries: Informal inquiries can be addressed to Prof. Laurenz Wiskott . Application: Applications should be sent in electronic form to Prof. Laurenz Wiskott . Ruhr-University Bochum is committed to equal opportunity in employment and gender equality in its working environment. We therefore look forward to applications from qualified women. Applications from appropriately qualified handicapped persons are also encouraged. From gangluo at cs.wisc.edu Mon Apr 3 12:39:23 2017 From: gangluo at cs.wisc.edu (Gang Luo) Date: Mon, 3 Apr 2017 09:39:23 -0700 Subject: Connectionists: VLDB Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2017) In-Reply-To: <98fb5f8c-40cd-e157-e67b-b582971d3e57@cs.wisc.edu> References: <5abfd369-d365-f9d6-a2e6-93095646033a@cs.wisc.edu> <98fb5f8c-40cd-e157-e67b-b582971d3e57@cs.wisc.edu> Message-ID: <7366275c-44b9-08d9-1de9-73450ef1d356@cs.wisc.edu> -- Call for Papers -- The Third International Workshop on Data Management and Analytics for Medicine and Healthcare (DMAH 2017) In Conjunction with VLDB 2017 Munich, Germany, September 1, 2017 http://dmah.info/ Healthcare enterprises are producing large amounts of data through electronic medical records, medical imaging, health insurance claims, surveillance, and others. Such data have high potential to transform current healthcare to improve healthcare quality and prevent diseases, and advance biomedical research. Medical Informatics is an interdisciplinary field that studies and pursues the effective use of medical data, information, and knowledge for scientific inquiry, problem solving and decision making, driven by efforts to improve human health and well being. The goal of the workshop is to bring people in the field cross-cutting information management and medical informatics to discuss innovative data management and analytics technologies highlighting end-to-end applications, systems, and methods to address problems in healthcare, public health, and everyday wellness, with clinical, physiological, imaging, behavioral, environmental, and omic- data, and data from social media and the Web. It will provide a unique opportunity for interaction between information management researchers and biomedical researchers for the interdisciplinary field. This workshop welcomes papers that address fundamental research issues for complex medical data environments, data management and analytical methods, systems and applications. Topics of interest include, but not limited to: Big data integration for medical data; Data cleansing for noisy and missing data; Medical data and knowledge management and decision support; Data management technologies for medical data; Semantic Web and ontologies for clinical and biomedical applications; Medical natural language processing and text mining; Data mining and knowledge discovery from medical data; Algorithms to speed up the analysis of big medical data; Innovative visualization techniques for query and analysis of medical data; Medical image mining; Medical information retrieval; Data privacy and security for healthcare data; Hospital readmission analytics; Medical fraud detection; Social media and Web data analytics for public health; Data analytics for pervasive computing for medical care. DMAH 2017 accept two types of papers: 1) Regular research papers reporting original research results or significant case studies (18 pages). 2) Extended abstracts presenting novel research directions or challenging problems (4 pages). Important Dates: Individual Workshop Papers: May 7, 2017 Notification of Acceptance: June 18, 2017 Camera Ready: July 2, 2017 Workshop date: September 1, 2017 All submitted papers will be rigorously reviewed. All accepted papers will be made available as a workshop proceedings to be published by Springer LNCS. Workshop Chairs: Fusheng Wang, Stony Brook University, USA Gang Luo, University of Washington, USA Edmon Begoli, Oak Ridge National Laboratory, USA Program Committee: Jes?s B. Alonso-Hern?ndez, Universidad de Las Palmas de Gran Canaria Thomas Brettin, Argonne National Laboratory J. Blair Christian, Oak Ridge National Laboratory Carlo Combi, University of Verona, Italy Kerstin Denecke, Bern Univ. of Applied Sciences Dejing Dou, University of Oregon Alevtina Dubovitskaya, EPFL Peter Elkin, University at Buffalo Vijay Gadapally, Massachusetts Institute of Technology Zhe He, Florida State University Guoqian Jiang, Mayo Clinic Jun Kong, Emory University Tahsin Kurc, Stony Brook University Ulf Leser, Humboldt University of Berlin Yanhui Liang, Stony Brook University Fernando Martin-Sanchez, Weill Cornell Medicine Casey Overby, John Hopkins University Wolfgang Mueller, Heidelberg Institute for Theoretical Studies Hua Xu, University of Texas Health Science Center From pkoenig at uos.de Mon Apr 3 14:37:42 2017 From: pkoenig at uos.de (=?UTF-8?Q?Peter_K=c3=b6nig?=) Date: Mon, 3 Apr 2017 20:37:42 +0200 Subject: Connectionists: Joint OCCAM / socSMC Workshop on "Mechanisms and models of social interaction" Message-ID: <7444b13a-0e62-2ef8-3549-4788f6366468@uos.de> ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ OCCAM / socSMC Workshop on "Mechanisms and models of social interaction" in Osnabr?ck from the 6th to 8th July 2017 (http://www.occam-os.de/occam.html) ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ Tamil Asfour*, Karlsruhe Institute of Technology Verena Hafner*, Humboldt-Universit?t of Berlin Ivan Herreros*, UPF Barcelona Concetta Morrone*, University of Pisa Bernhard Hommel*, Leiden University Ivana Konvalinka*,Technical University of Denmark Simone Sch?tz-Bosbach*, LMU Munich Markus Siegel*, University T?bingen Luciano Fadiga*, University of Ferrara Tobias Heed*, University of Bielefeld Basil Wahn*, Osnabr?ck University Susan Brennan, Stony Brooks University Thomas Metzinger*, University Mainz Merle Faihurst*, University of London Hawke Heekeren*, Free University Berlin Please note that deadline for registration and submission of abstracts is 5th May. The OCCAM (Osnabr?ck Computational Cognition Alliance Meeting) is organized by Gordon Pipa, Frank J?kel and myself and brings together well established outstanding researchers as well as young promising scientists. This year, the 6th workshop of the series, jointly with the socSMCs project and coordinates with Andreas Engel (http://socsmcs.eu/), we focus on social interactions. The topic comprises theoretical, computational, physiological and robotics approaches. The program includes full length talks (see above), student presentations, a poster session, guided poster tours and a public talk to the general audience. We go to great length to actively involve all participants. Furthermore, there will also be time for informal discussions. Osnabr?ck is a charming town with a long history many places worth visiting (https://www.osnabrueck.de/english.html). It is conveniently located at the intersection of major train routes and has a local airport with good connections to major hubs (Frankfurt, Munich, London-City Airport) as well as a selection of further direct connections. More detailed travel information can be at http://www.occam-os.de/travel-info.html. We'd be happy if this meeting is of interest to you or your students and hope to welcome you in Osnabr?ck in summer 2017. Best, Peter, Gordon, Frank & Andreas -- Prof. Dr. Peter K?nig Institute of Cognitive Science University Osnabr?ck Wachsbleiche 27 49090 Osnabr?ck +49 541 969 2399 http://cogsci.uni-osnabrueck.de/~NBP/ -------------- next part -------------- A non-text attachment was scrubbed... Name: signature.asc Type: application/pgp-signature Size: 842 bytes Desc: OpenPGP digital signature URL: From luigi.malago at gmail.com Mon Apr 3 19:16:33 2017 From: luigi.malago at gmail.com (=?UTF-8?Q?Luigi_Malag=C3=B2?=) Date: Tue, 4 Apr 2017 02:16:33 +0300 Subject: Connectionists: 5 postdoc positions in Deep Learning and Riemannian Stochastic Optimization at RIST Message-ID: [Our apologies for cross postings] The Romanian Institute of Science and Technology (RIST) has an opening for 5 postdoc positions, in the context of the DeepRiemann project ?Riemannian Optimization Methods for Deep Learning?, funded by European structural funds through the Competitiveness Operational Program (POC 2014-2020). The appointments will be for 1 year, with possible extensions up to 3.5 years. The DeepRiemann project aims at the design and analysis of novel training algorithms for Neural Networks in Deep Learning, by applying notions of Riemannian optimization and differential geometry. The task of the training a Neural Network is studied by employing tools from Optimization over Manifolds and Information Geometry, by casting the learning process to an optimization problem defined over a statistical manifold, i.e., a set of probability distributions. The project is highly interdisciplinary, with competences spanning from Machine Learning to Optimization, Deep Learning, Statistics, and Differential Geometry. The objectives of the project are multiple and include both theoretical and applied research, together with industrial activities oriented to transfer knowledge, from the institute to a startup or spin-off of the research group. The positions will be part of the new Machine Learning and Optimization group www.luigimalago.it/group.html, which will be performing research at the intersection of Machine Learning, Stochastic Optimization, Deep Learning, and Optimization over Manifolds, from the unifying perspective of Information Geometry. The group is one of two newly-formed groups in Machine Learning at RIST, where about 20 new postdoctoral research associates and research software developers will be hired in the next year. The open positions will focus on different and overlapping aspects of the project: 1) Optimization Algorithms over Statistical Manifolds with Applications to Deep Learning 2) Theory of Neural Networks 3) Information Geometry of dually-flat Hessian Manifolds 4) Training of Neural Networks using Riemannian geometries. 5) Information Geometry of Deep Generative Models 6) Natural Policy Learning for Deep Reinforcement Learning. The positions are to start as early as May 2017 or at any agreed later date. Applications will be reviewed as they are received. More information can be found at the following links: a) http://rist.ro/en/details/news/postdoc-positions-in-machine-learning-optimization-deep-learning-and-information-geometry.html b) http://rist.ro/en/details/news/postdoc-positions-in-deep-learning-and-machine-learning.html best regards, Luigi Malag? -- Luigi Malag? Principal Investigator Romanian Institute of Science and Technology - RIST Machine Learning and Optimization Group Address: Str. Virgil Fulicea nr. 17, 400022 Cluj-Napoca, Romania Homepage: http://www.luigimalago.it Office: +40 364 408794 <+40%20364%20408%20794> Mobile RO: +40 758 244646 <+40%20758%20244%20646> Mobile IT: +39 340 6249299 <340%20624%209299> -------------- next part -------------- An HTML attachment was scrubbed... URL: From nicosia at dmi.unict.it Tue Apr 4 03:22:55 2017 From: nicosia at dmi.unict.it (Giuseppe Nicosia) Date: Tue, 4 Apr 2017 09:22:55 +0200 Subject: Connectionists: SSBSS 2017 Call for Participation and Short Talks/Posters - Deadline: Sunday April 30 - International Synthetic & Systems Biology Summer School and Workshop, University of Cambridge, July 17 to 21 Message-ID: <829069B0-46C1-4740-B254-70E9A72FC76C@dmi.unict.it> _________________________________________________________________ Call for Participation (apologies for multiple copies) Please kindly help forward it to potentially interested attendees _________________________________________________________________ * Call for Participation - Application Deadline: Sunday April 30 http://www.taosciences.it/ssbss/#application-form * Call for Short Talks & Posters - Submission Deadline: Sunday April 30, https://easychair.org/conferences/?conf=ssbss2017 4th INTERNATIONAL SYNTHETIC & SYSTEMS BIOLOGY SUMMER SCHOOL and WORKSHOP * Biology meets Computer Science & Engineering * University of Cambridge, UK, July 17 to 21, 2017 http://www.taosciences.it/ssbss/ ssbss.school at gmail.com Overview The synthetic & systems biology summer school provides students, post-docs, academics and industry professionals with an intense learning experience on the theory and applications of modern synthetic & systems biology. Over the course of one week, a panel of internationally renowned experts of the field will offer lectures and tutorials covering basic as well as advanced topics. Confirmed Speakers * Antonino Cattaneo, Scuola Normale Superiore Pisa, Italy * Jasmin Fisher, Microsoft Research & Cambridge Systems Biology Centre, UK * Carole Goble, University of Manchester, UK * Jim Haseloff, University of Cambridge, UK * Jay Keasling, University of California, Berkeley, USA Lawrence Berkeley National Laboratory, USA Joint BioEnergy Institute, USA * Edda Klipp, Humboldt University, Germany * Natalio Krasnogor, Centre for Synthetic Biology and Bioexploitation, Newcastle University, UK * Markus Ralser, Cambridge Systems Biology Centre, University of Cambridge, UK & The Francis Crick Institute London, UK * Uwe Sauer, Institute of Molecular Systems Biology, ETH Zurich, Switzerland * Mike Stubbington, EMBL-EBI, Cambridge UK * Eriko Takano, Manchester Synthetic Biology Research Centre, University of Manchester, UK * Sarah Teichmann, Wellcome Trust Sanger Institute & EMBL, European Bioinformatics Institute, UK Industrial Panel * Jonathan Chesnut, Thermo Fisher Scientific Inc., USA * Other speakers will be announced soon. Application process Applications are invited from graduate students, postdoctoral researchers, academics and industry professionals looking to use, or already using synthetic biology and/or systems biology methods in their work. Prior experience is not strictly required. Applicants will be asked to submit a CV. We are also seeking to give participants a chance to discuss their own work with their peers and the speakers. As option, it is possible for each applicant to provide the abstract of a poster they would like to present at the school. The School will involve a total of 36-40 hours of lectures, the final achievement will be equivalent to 8 ECTS points for the students attending the summer school. The application system is now open: http://www.taosciences.it/ssbss/#application-form Important Dates: * April 30, 2017 DEADLINE FOR APPLICATIONS AND SHORT TALKS/POSTERS * May 10, 2017 Notification Acceptance * The Summer School will start July 17th at 8:45am and it will end July 21st at 21:00. Organizers: Massimo Gulisano, University of Catania, Italy Giuseppe Nicosia, University of Catania, Italy Steve G. Oliver, University of Cambridge, UK Call for Posters & Talks The International Synthetic & Systems Biology Summer School is especially aimed to provide a stimulating environment for young researchers, Post-Doc, Ph.D. Students and M.Sc. Students. They will have the possibility to present the results of their research activities on the topic of the summer school, and to interact with their scientific peers, in a friendly and constructive way. Applicants may submit an abstract to present their results. The abstract should be submitted before April 30. In general, everyone participating in the summer school is invited to bring a poster to display their work. If you are interested in contributing, please give brief details when you submit your application. Suitable space will be reserved to the applicants for showing their posters. Submit an abstract today for the Synthetic and Systems Biology Summer School & Workshop (SSBSS 2017): https://easychair.org/conferences/?conf=ssbss2017 inquiries should be directed to ssbss.school at gmail.com http://www.taosciences.it/ssbss/ * Our sincere apologies if you receive multiple copies of this announcement * Please help us distributing in your circles (emails, blogs, and social networks) the call for participation and call for oral talks/posters for SSBSS 2017. Together we will make SSBSS a great event! -- Giuseppe Nicosia, Ph.D. Associate Professor of Computer Science Dept of Mathematics & Computer Science University of Catania Viale A. Doria, 6 - 95125 Catania, Italy P +39 095 7383048 nicosia at dmi.unict.it http://www.dmi.unict.it/nicosia ================================================================== 4th International Synthetic & Systems Biology Summer School - SSBSS 2017 * Biology meets Computer Science & Engineering * July 17-21, 2017 - University of Cambridge, Robinson College, UK http://www.taosciences.it/ssbss/ Contact Email: ssbss.school at gmail.com FB: https://www.facebook.com/ssbss.school/ SSBSS - Synthetic & Systems Biology Summer School Group: https://www.facebook.com/groups/238417586492061/ Computational Synthetic Biology Group: https://www.facebook.com/groups/1014624245288596/ ================================================================== 3rd International Conference on Machine learning, Optimization & big Data - MOD 2017 An Interdisciplinary Conference: Machine Learning, Optimization and Data Science without Borders September 14-17, 2017 - Volterra (Pisa), Tuscany, Italy modworkshop2017 at gmail.com http://www.taosciences.it/mod/ ================================================================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From juffi at ke.informatik.tu-darmstadt.de Tue Apr 4 04:26:47 2017 From: juffi at ke.informatik.tu-darmstadt.de (Johannes Fuernkranz) Date: Tue, 4 Apr 2017 10:26:47 +0200 Subject: Connectionists: 2nd Call for Papers: The 40th German Conference on Artificial Intelligence (KI'17) Message-ID: [Apologies if you receive multiple copies. Please forward this call to interested parties.] ============== KI 2017: 2nd Call for Papers ============== 40th German Conference on Artificial Intelligence September 25-29, 2017 Dortmund, Germany http://ki2017.tu-dortmund.de ============================================================= KI 2017 is the 40th edition of the German Conference on Artificial Intelligence organized by the Fachbereich K?nstliche Intelligenz der Gesellschaft f?r Informatik. KI traditionally brings together academic and industrial researchers from all areas of AI, providing an ideal place for exchanging news and research results of intelligent system technology. The technical program of KI 2017 will comprise paper and poster presentations and a variety of workshops and tutorials. KI 2017 will take place in Dortmund, Germany, September 25th-29th, 2017, and is a premier forum for exchanging news and research results on theory and applications of intelligent system technology. You are invited to submit original research and application papers on all aspects of AI research, including but not limited to the following: - Agent-based and multi-agent systems - AI applications and innovations - Belief change - Cognitive modelling, AI and psychology - Commonsense reasoning - Computer vision - Constraint satisfaction, search, and optimization - Diagnosis and configuration - Evolutionary computation - Game playing and interactive entertainment - Information retrieval, integration, and extraction - Knowledge engineering and ontologies - Knowledge representation and reasoning - Knowledge discovery and data mining - Machine learning - Multidisciplinary AI - Natural language processing - Nonmonotonic reasoning and default logics - Philosophical foundations of AI - Planning and scheduling - Recommender systems - Robotics - Uncertainty in AI - Web and information systems We especially welcome application papers that provide novel insights on the interplay of AI and the real world, as well as papers that bring useful computational technologies from other areas of computer science into AI. ======== Invited Speakers and Historical Session ======== We are proud to announce keynote speeches by the following invited speakers: * Gerhard Brewka (Universit?t Leipzig) * Luc De Raedt (Katholieke Universiteit Leuven) Being the 40th anniversary of the German Conference on Artificial Intelligence we are also planning a special "Historical Session" with a podium discussion and several short talks by further invited speakers on the history of AI in general and in Germany. More details on this session will be made available soon. ======== Workshops and Tutorials ======== The main program of the conference is complemented by a workshop and tutorial program: * Workshop: Planen und Konfigurieren * Workshop: AI challenges for humanoid soccer-playing robots * Workshop: Forgetting in Artificial Intelligence * Workshop: ZooOperation Competition * Workshop: Intelligent Systems for Industry 4.0 * Workshop: Deduktionstreffen * Workshop: Formal and Cognitive Reasoning * Tutorial: Defeasible Reasoning for Description Logics * Tutorial: Knowledge Representation and Reasoning with Nilsson-style Probabilistic Logics * Tutorial: Unification in Description and Modal Logics For details on submitting workshop papers see the individual workshop webpages linked to from the conference webpage (http://ki2017.tu-dortmund.de). ======== Paper Submission ======== We invite papers, which have to be in English and formatted according to the Springer LNCS style, in the following two categories * Full technical papers (12 pages max., excluding references) are expected to report on new research that makes a substantial technical contribution to the field. Additional details may be included in an appendix, which, however, will be read at the discretion of the PC. * Technical communications (6 pages max., excluding references) can report on research in progress, or other issues of interest to the AI community. Examples of work suitable for technical communication paper submissions include: novel ideas whose scope is not large enough for a full paper: important implementation techniques; novel interesting benchmark problems; short experimental studies; interesting applications that are not yet completely solved or analysed; position or challenge papers; etc. Technical communication submissions are especially invited for software demonstration or PhD work in progress. Submission will be through the EasyChair conference management system: http://www.easychair.org/conferences/?conf=ki2017 All papers will be subject to blind peer review based on the standard criteria of relevance, significance of results, originality of ideas, soundness, and quality of the presentation. All accepted papers will be published in the main conference proceedings, and will be presented at the conference. At least one author of each accepted paper must register for the conference and present the contribution. The KI 2017 proceedings will be published by Springer as a volume of the LNAI (Lecture Notes in Artificial Intelligence) series. ======== Important Dates ======== Workshop/Tutorial proposals: Jan 30th, 2017 Workshop/Tutorial notification: Feb 6th, 2017 Full/Short Paper submission: May 5th, 2017 Acceptance notification: June 16th, 2017 Final version due: July 1st, 2017 KI Workshops and Conference: September 25th-29th, 2017 ======== Main Organizers ======== General Chair * Gabriele Kern-Isberner (TU Dortmund) Program Chairs * Johannes F?rnkranz (TU Darmstadt) * Matthias Thimm (Universit?t Koblenz-Landau) Workshop and Tutorial Chair * Christoph Beierle (FernUniversit?t in Hagen) Historial Session Chair * Ulrich Furbach (Universit?t Koblenz-Landau) Local Organizers * Christian Eichhorn (TU Dortmund) * Steffen Schieweck (TU Dortmund) * Marco Wilhelm (TU Dortmund) ******************************************************************************** Dr. habil. Matthias Thimm Institute for Web Science and Technologies (WeST) Universit?t Koblenz, Germany Tel.: +49-261-287-2715 http://west.uni-koblenz.de/ -- http://www.mthimm.de From ikotsire at wlu.ca Tue Apr 4 13:08:19 2017 From: ikotsire at wlu.ca (Ilias Kotsireas) Date: Tue, 4 Apr 2017 13:08:19 -0400 (EDT) Subject: Connectionists: CAI 2017 -- Kalamata - Greece -- *** Extended submission deadline: April 30, 2017 *** Message-ID: Fourth Call for Papers CAI 2017 7th International Conference on Algebraic Informatics June 25-28, 2017 Kalamata, Greece http://www.cargo.wlu.ca/CAI2017/ CAI is the biennial conference serving the community interested in the intersection of theoretical computer science, algebra, and related areas. CAI 2017 will feature invited presentations and a selective five-track program of contributed papers describing original and unpublished research. ** Important Dates ** *** Extended submission deadline: April 30, 2017 *** Author notification: May 20, 2017 CAI 2017 General Chair Ilias Kotsireas, Wilfrid Laurier University, Canada CAI Steering Committee Symeon Bozapalidis, Aristotle University of Thessaloniki, Greece Olivier Carton, Universite Paris 7, Denis Diderot, France Manfred Droste, Universitaet Leipzig, Germany Zoltan Esik (deceased), University of Szeged, Hungary Werner Kuich, Technische Universitaet Wien, Austria Dimitrios Poulakis, Aristotle University of Thessaloniki, Greece Arto Salomaa, University of Turku, Finland Proceedings The CAI 2017 conference proceedings will be published in electronic form. Authors of the best papers will be invited to submit a revised version of their work to a Special Issue of Theoretical Computer Science (Elsevier). Topics Typical but not exclusive topics of interest are: Track 1: Automata Theory and Logic Chair: Manfred Droste (Germany) Invited Speaker: Heiko Vogler (TU Dresden, Germany) Topics: This includes all topics of theoretical computer science with connections to automata theory and logic in computer science, in the broad sense. Submissions by e-mail: droste at informatik.uni-leipzig.de A PC will select the 10% best submissions for a 'distinguished lecture'. Authors will receive a confirmation of this and will have more time than the usual talks. Track 2: Cryptography and Coding Theory Chairs: Stephane Ballet (France), Dimitrios Poulakis (Greece), Robert Rolland (France) Invited Speaker: Claude Carlet (Universite Paris 8, France) Topics: - Elliptic Curves Cryptography - Lattice Cryptography - Cryptanalytic Methods - Identity Based Cryptography - Symmetric Ciphers - Public Keys Cryptosystems - Digital Signatures - Steganography - Quantum Cryptography - Cryptographic Protocols - Computational Number Theory - Boolean Functions - Error-Correcting Codes - Algebraic-Geometric Codes - Code Based Cryptography - Quantum Codes Submissions by e-mail: stephane.ballet at univ-amu.fr, poulakis at math.auth.gr, robert.rolland at acrypta.fr Track 3: Computer Algebra Chairs: Rafael Sendra (Spain), Franz Winkler (Austria) Invited Speaker: Michael Wibmer (University of Pennsylvania, USA) Topics: - symbolic mathematical computation - exact algorithms - implementation of symbolic algorithms - applications Submissions by e-mail: Rafael.Sendra at uah.es, Franz.Winkler at risc.jku.at Track 4: Design Theory Chairs: Lucia Moura (Canada), Dimitris Simos (Austria) Invited Speaker: Charles Colbourn (Arizona State University, USA) Topics: - algebraic and combinatorial methods in design theory - algorithms for construction and classification of designs - applications of combinatorial designs in computer science, coding theory and information theory - complexity problems in design theory Submissions by e-mail: CAI2017.DesignTheory at uottawa.ca , CAI2017.DesignTheory at sba-research.org Submission instructions: At the bottom of this mail. Track 5: Natural and Quantum Computing Chair: Mika Hirvensalo (Finland) Invited Speaker: Lila Kari (University of Waterloo, Canada) Topics: - evolutionary algorithms - molecular computing - neural networks - quantum computing Submissions by e-mail: mikhirve at utu.fi For general inquiries regarding CAI 2017, please send e-mail to ikotsire at wlu.ca Submission Guidelines Authors are invited to submit papers, presenting original and unpublished research. Submitted papers should not exceed 25 pages. Simultaneous submission to other conferences with published proceedings or journals is not allowed. Submissions should be made to the appropriate track of the conference, by e-mail to the track Chairs. All proofs omitted due to space constraints should be given in an appendix or made accessible through a reliable link to a freely available electronic preprint. ======================================================== Instructions for Submissions for the Design Theory Track, CAI 2017: Authors are invited to submit an extended abstract (up to 6 pages), containing original research results. The authors are responsible for convincing the reviewers of the correctness and interest of their results using only those six pages. Authors can add an optional appendix with proofs, sketches of proofs, or additional material. If included, the appendix will be read at the discretion of the reviewers if required to reach a decision. The appendix has no page limit, and because it will not be published, it cannot be referenced in the extended abstract. Submission of a paper implies that the work described has not been previously published (except in the form of a lecture or academic thesis), that it is not simultaneously submitted elsewhere, and that, if accepted, it will not be published elsewhere in the same form. A special volume of Electronic Notes in Discrete Mathematics (ENDM) will be dedicated to accepted extended abstracts to the Design Theory track of CAI 2017 and the publication date is expected for the second semester of 2018. The extended abstracts must comply with the ENDM LaTeX style and are limited to 6 pages, including the front matter, text, and references. Instructions for submission preparation may be obtained in the ENDM web page http://www.elsevier.com/locate/endm. Once prepared, the paper should be submitted by e-mail to the Design Theory track chairs using BOTH the email addresses below: CAI2017.DesignTheory at uottawa.ca, CAI2017.DesignTheory at sba-research.org NOTE: The publication of the extended abstract in the Design Theory track (ENDM) is independent and complementary to a possible submission of full papers to the volume of Theoretical Computer Science dedicated to best papers among all tracks of CAI 2017. ================================================= From gunnar.blohm at gmail.com Tue Apr 4 13:46:41 2017 From: gunnar.blohm at gmail.com (Gunnar Blohm) Date: Tue, 4 Apr 2017 13:46:41 -0400 Subject: Connectionists: CoSMo 2017: deadline approaching fast! Message-ID: <36105855-3e56-5da5-7b5f-5f850614cd87@queensu.ca> This is just a reminder that the deadline for CoSMo applications is *April 11, 2017*! *7th Annual Computational Sensory-Motor Neuroscience Summer School (CoSMo 2017)* University of Minnesota, Minneapolis, MN, USA July 30 - August 13, 2017 For more information and to apply, please go to http://www.compneurosci.com/CoSMo/ Scholarship information and the application form can be found here: http://www.compneurosci.com/CoSMo/application.html -- ------------------------------------------------------- Dr. Gunnar BLOHM Associate Professor in Computational Neuroscience Association for Canadian Neuroinformatics and Computational Neuroscience (CNCN) Centre for Neuroscience Studies, Departments of Biomedical and Molecular Sciences, Mathematics & Statistics, and Psychology, School of Computing, and Canadian Action and Perception Network (CAPnet) Queen?s University 18, Stuart Street Kingston, Ontario, Canada, K7L 3N6 Tel: (613) 533-3385 Fax: (613) 533-6840 Email: Gunnar.Blohm at QueensU.ca Web: http://www.compneurosci.com/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From david.hofmann at emory.edu Tue Apr 4 17:34:58 2017 From: david.hofmann at emory.edu (David Hofmann) Date: Tue, 4 Apr 2017 17:34:58 -0400 Subject: Connectionists: REGISTRATION NOW OPEN: "New Directions in Motor Control" - May 18-19. 2017 In-Reply-To: <8C0628C7-1AAC-48A4-B807-A6A69CAB6B32@emory.edu> References: <8C0628C7-1AAC-48A4-B807-A6A69CAB6B32@emory.edu> Message-ID: Dear colleagues, We are writing to announce that registration is now open for the Kavli Brain Forum Symposium at Emory, which will take place at Emory on May 18-19, 2017. Speakers at the symposium, which is entitled ?New Directions in Motor Control?, will discuss their work exploring how the nervous system controls complex behaviors, with emphasis on how the brain employs sensory information to guide motor action and how patterns of motor activity are organized in space and time. This workshop is sponsored by the Kavli Brain Forum at Emory and Georgia Tech, Emory?s Center for Mind, Brain, and Culture, and an anonymous gift to promote theoretical physics approaches in biology. The conference, which will include both formal presentations and half-day small-group tutorials on advanced methods for analyzing neural and behavioral data, will be held at the Emory Conference Center and Hotel (1615 Clifton Rd, Atlanta, GA, 30329). Presentations will be given by a number of distinguished neuroscientists from around the world as well as by members of the local neuroscience community. REGISTRATION DETAILS: Conference registration is free and open to all, however you must be registered to attend the workshop/tutorials. Please visit the workshop website ( http://www.physics.emory.edu/home/new-directions-in-motor-control/index.html ) for registration information and to find more information on the workshops and tutorials. All attendees must register by May 4, 2017. For attendees traveling to Atlanta from elsewhere, housing (group rate) is available at the conference hotel for $169/night. The deadline for reserving hotel rooms at the group rate is April 25, 2017. Information for making housing arrangements is available in the ?Lodging? tab on the workshop website. Keynote speakers Michael Brecht (Bernstein Center for Computational Neuroscience, Berlin) Nicholas Hatsopoulos (University of Chicago) Mackenzie Mathis (Harvard University, Universit?t T?bingen) Leslie Osborne (University of Chicago) Carl Petersen (EPFL Lausanne) Jennifer Raymond (Stanford University) Reza Shadmehr (Johns Hopkins University) Local speakers Don Edwards (Georgia State University) David Hofmann (Emory University) Dieter Jaeger (Emory University) Ilya Nemenman (Emory University) Chethan Pandarinath (Emory University/Georgia Tech) Sam Sober (Emory University) Simon Sponberg (Emory University/Georgia Tech) Lena Ting (Emory University/Georgia Tech) Hands-on Tutorials Tutorials will be held (concurrently) the morning of May 19. The registration site will allow you to select a tutorial to attend. Information theoretic analysis of neural spike trains led by Ilya Nemenman Application of generalized linear models to spike trains led by David Hofmann Beyond Spikes: Insights from local field potential recordings in electrode array data led by Audrey Sederberg Quantitative behavioral analysis using dimensionality reduction led by Gordon Berman Looking forward to seeing you in May! On behalf of the organizing committee, David Hofmann (Postdoctoral Fellow, Emory University Physics) Sam Sober (Assistant Professor of Biology, Emory University) Simon Sponberg (Assistant Professor of Physics, Georgia Institute of Technology) ________________________________ This e-mail message (including any attachments) is for the sole use of the intended recipient(s) and may contain confidential and privileged information. If the reader of this message is not the intended recipient, you are hereby notified that any dissemination, distribution or copying of this message (including any attachments) is strictly prohibited. If you have received this message in error, please contact the sender by reply e-mail message and destroy all copies of the original message (including attachments). -------------- next part -------------- An HTML attachment was scrubbed... URL: From srdjan.ostojic at ens.fr Tue Apr 4 16:57:26 2017 From: srdjan.ostojic at ens.fr (Srdjan Ostojic) Date: Tue, 4 Apr 2017 22:57:26 +0200 Subject: Connectionists: Neural Coding, Computation and Dynamics (NCCD) 2017 Message-ID: <58E408B6.3090308@ens.fr> Neural Coding, Computation and Dynamics (NCCD) September 17 - 20, 2017 Capbreton, France https://nccd2017.sciencesconf.org/ *Towards a mechanistic interpretation of neural data* NCCD17 is the third in a series of meetings focusing on topics in theoretical and experimental neuroscience. Techniques for recording and manipulating large-scale neural activity in awake behaving animals are developing at an accelerating pace. Identifying the principles of neural processing requires a mechanistic interpretation of the large amounts of collected data. The aim of this workshop is to make progress in that direction by bringing together three different communities: (i) experimentalists performing large-scale recordings in behaving animals; (ii) modelers specialized in statistical data-analysis; (iii) theorists working with mechanistic network models. We are looking for talks that build bridges across these different approaches. As with previous workshops, our goal is to foster the strong interactions we believe are so important for this field. So the meeting will be small (~70 people). * Venue* Casino de Capbreton , Capbreton , France. *Important dates* May 15: abstract submission deadline June 1*:* early registration deadline * Confirmed speakers* Tatiana Engel (Stanford) Adrienne Fairhall (Seattle) Julijana Gjorgjieva (Frankfurt) Jakob Macke (Bonn) Alfonso Renart (Lisbon) Dmitry Rinberg (NYU) Ilana Witten (Princeton) Byron Yu (Pittsburgh) * Organizers* Peter Latham (UCL) Srdjan Ostojic (ENS Paris) Maneesh Sahani (UCL) -------------- next part -------------- An HTML attachment was scrubbed... URL: From james.rankin at gmail.com Wed Apr 5 09:08:43 2017 From: james.rankin at gmail.com (James Rankin) Date: Wed, 5 Apr 2017 14:08:43 +0100 Subject: Connectionists: PhD in Computational Neuroscience at the University of Exeter (fully funded) Message-ID: PhD in Computational Neuroscience at the University of Exeter (fully funded) ***Closes in 4 days*** 3.5 year college funded PhD Studentship in Computational Neuroscience: *Neural dynamics of perceptual competition * Ref: 2589 Open to UK, EU and International students with maintenance (?14,296 per year) and tuition fees fully funded http://www.exeter.ac.uk/studying/funding/award/?id=2589 This interdisciplinary project will use mathematical modelling, in conjunction with psychophysics (human perception experiments), to better understand the neural competition underpinning the dynamics of perception. Ambiguity in fixed sensory stimuli can lead to spontaneous switches in perception, both in vision, e.g. binocular rivalry, Necker cube, and audition, e.g. auditory streaming (switches between grouped or segregated interpretations of tone sequences). A set of common characteristics (inevitability of perceptual changes, exclusivity between the competing percepts, and randomness in the percept durations), generalise across sensory modalities. The neural competition driving these perceptual switches has been successfully modelled in small networks of Wilson-Cowan (firing rate) units, each associated with the different perceptual interpretations. For certain stimuli, where competition takes place across a continuous feature space (say, visual orientation, motion direction, or auditory pitch), a continuum model, such as the neural field equation can be applied. This PhD project will involve the derivation of perceptual competition models in a dynamical systems framework, based on plausible neural mechanisms commonly found in sensory cortex. Modelling hypotheses and predictions will be tested against experimental data collected in our lab or from collaborators. On the modelling side, tools from bifurcation analysis including numerical continuation will be applied to investigate dynamics. The project will be flexible in terms of the balance between modelling and experiments. Candidates with quantitative backgrounds (mathematics, physics, and engineering) and from neuroscience or psychology programmes are encouraged to apply. Programming experience and/or knowledge of dynamical systems theory is a plus. Contact: j.a.rankin at exeter.ac.uk Informal enquiries welcome. Application deadline: 10th April 2017 Please forward to interested parties as appropriate Thanks, James -------------- next part -------------- An HTML attachment was scrubbed... URL: From phycs at insticc.info Wed Apr 5 14:18:48 2017 From: phycs at insticc.info (phycs at insticc.info) Date: 5 Apr 2017 19:18:48 +0100 Subject: Connectionists: CFP PhyCS 2017 - 4th Int.l Conf. on Physiological Computing Systems (Madrid/Spain) Message-ID: <20170405181906.58733.27295.2049B072@insticc.info> SUBMISSION DEADLINE 4th International Conference on Physiological Computing Systems Submission Deadline: April 18, 2017 http://www.phycs.org July 28 - 29, 2017 Madrid, Spain. PhyCS is organized in 4 major tracks: - Devices - Methodologies and Methods - Human Factors - Applications In Cooperation with IT, CMP, FENS, SBFis, HFES, SBE, SBBf, ACM SIGCHI. With the presence of internationally distinguished keynote speakers: Pablo Cesar, Centrum Wiskunde & Informatica, Netherlands Juan-Manuel Belda-Lois, Instituto de Biomec?nica de Val?ncia, Spain A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer. All papers presented at the congress venue will also be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/). Should you have any question please don?t hesitate contacting me. Kind regards, PhyCS Secretariat Address: Av. D. Manuel I, 27A, 2? esq. 2910-595 Setubal, Portugal Tel: +351 265 520 184 Fax: +351 265 520 186 Web: http://www.phycs.org e-mail: phycs.secretariat at insticc.org From yang at maebashi-it.org Thu Apr 6 05:17:14 2017 From: yang at maebashi-it.org (Yang) Date: Thu, 6 Apr 2017 18:17:14 +0900 Subject: Connectionists: [Deadline Extended: May 1] - CFPs - Brain Informatics 2017 Message-ID: <4124BB1764DE43439730463D32DC69F4@yangPC> [Apologies if you receive this more than once] CALL FOR PAPERS The 2017 International Conference on Brain Informatics (BI'17) THE 10TH ANNIVERSARY OF BRAIN INFORMATICS November 16-18, 2017, Beijing, China Homepage: http://bii.ia.ac.cn/bi-2017/ --------------------------------------------------------------------------------- [EXTENDED!!] FULL PAPER SUBMISSION DEADLINE: May 1, 2017 --------------------------------------------------------------------------------- *** KEYNOTE SPEAKERS *** Alan Evans (McGill University, Canada) Tom Mitchell (Carnegie Mellon University, US) Yanchao Bi (Beijing Normal University, China) Adam Ferguson (University of California San Francisco, US) Bin Hu (Lanzhou University, China) Michael Hawrylycz (Allen Institute for Brain Science, US) Dinggang Shen (University of North Carolina at Chapel Hill, US) ================================================== Brain Informatics (BI) conference series provides a premier forum to bring together researchers and practitioners in the fields of neuroscience, cognitive science, computer science, data science, artificial intelligence, information communication technologies, and neuroimaging technologies. BI'17 addresses the computational, cognitive, physiological, biological, physical, ecological and social perspectives of brain informatics, as well as topics relating to mental health and well-being. It also welcomes emerging information technologies, including but not limited to Internet/Web of Things (IoT/WoT), cloud computing, big data analytics and interactive knowledge discovery related to brain research. BI'17 also encourages submissions that explore how advanced computing technologies are applied to and make a difference in various large-scale brain studies and their applications. BI'17 welcomes paper submissions (full paper and abstract submissions). Both research and application papers are solicited. All submitted papers will be reviewed on the basis of technical quality, relevance, significance and clarity. Accepted full papers will be included in the proceedings by Springer LNCS/LNAI. Workshop, Special-Session and Tutorial proposals, and Industry/Demo-Track papers are also welcome. The organizers of Workshops and Special-Sessions are invited to prepare a book proposal based on the topics of the workshop/special session for possible book publication in the Springer-Nature Brain Informatics & Health book series (http://www.springer.com/series/15148). *** Topics and Areas *** Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Investigations of Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Track 5: Brain-Inspired Intelligence and Computing IMPORTANT DATES (Extended): =========================== May 1, 2017: Submission deadline for full papers May 20, 2017: Submission deadline for workshop/special-session papers June 10, 2017: Notification of full paper acceptance June 20, 2017: Notification of workshop/special-session paper acceptance June 20, 2017: Submission deadline for abstracts July 10, 2017: Notification of abstract acceptance November 16, 2017: Tutorials, workshops and special-sessions November 17-18, 2017: Main conference PAPER SUBMISSIONS & PUBLICATIONS: ================================= TYPE-I (Full Paper Submissions; Submission Deadline: May 1, 2017): Papers need to have up to 10 pages in LNCS format: http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 All full length papers accepted (and all special sessions' full length papers) will be published by Springer as a volume of the series of LNCS/LNAI. TYPE-II (Abstract Submissions; Submission Deadline: June 20, 2017): Abstracts have a word limit of 500 words. Experimental research is particularly welcome. Accepted abstract submissions will be included in the conference program, and will be published as a single, collective proceedings volume. Title: Include in the title of the abstract all words critical for a subject index. Write your title in sentence case (first letter is capitalized; remaining letters are lower case). Do not bold or italicize your full title. Author: List all authors who contributed to the work discussed in the abstract. The presenting author must be listed in the first author slot of the list. Be prepared to submit contact information as well as conflict of interest information for each author listed. Abstract: Enter the body of the abstract and attach any applicable graphic files or tables here. Do not re-enter the title, author, support, or other information that is collected in other steps of the submission form. Presentation Preference: Authors may select from three presentation formats when submitting an abstract: "poster only", "talk preferred" or "no preference." The "talk preferred" selection indicates that you would like to give a talk, but will accept a poster format if necessary. Marking "poster only" indicates that you would not like to be considered for an oral-presentation session. Selecting "no preference" indicates the author's willingness to be placed in the best format for the program. Each paper or abstract requires one sponsoring attendee (i.e. someone who registered and is attending the conference). A single attendee can not sponsor more than two abstracts or papers. Oral presentations will be selected from both full length papers and abstracts. *** Post-Conference Journal Publication *** The Brain Informatics conferences have the formal ties with Brain Informatics journal (Springer-Nature, http://www.springer.com/40708). Accepted papers from the conference, including their Best Paper Award papers, will be expended and revised for possible inclusion in the Brain Informatics journal each year. It is fully sponsored and no any article-processing fee charged for authors of Brain Informatics conference. *** Awards *** Best Paper awards will be conferred at the conference on the authors of (1) the best research paper and (2) the best student paper. ORGANIZERS ========== General Chairs Bo Xu (Chinese Academy of Sciences, China) Hanchuan Peng (Allen Institute for Brain Sciences, USA) Qingming Luo (Huazhong University of Science and Technology, China) Program Committee Chairs Yi Zeng (Chinese Academy of Sciences, China) Yong He (Beijing Normal University, China) Jeanette Kotaleski (Karolinska Institute, Sweden) Maryann Martone (University of California, San Diego, USA) Organizing Chairs Ning Zhong (Maebashi Institute of Technology, Japan, and Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China Jianzhou Yan (Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Shengfu Lu (Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Workshop/Special-Session Chairs An'an Li (Huazhong University of Science and Technology, China) Sen Song (Tsinghua University, China) Tutorial Chair Wenming Zheng (South East University, China) Publicity Chairs Tielin Zhang (Chinese Academy of Sciences, China) Shouyi Wang (University of Texas at Arlington, USA) Yang Yang (Maebashi Institute of Technology, Japan, and Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Steering Committee Chairs Ning Zhong (Maebashi Institute of Technology, Japan) Hanchuan Peng (Allen Institute for Brain Science, USA) *** Contact Information *** tielin.zhang at ia.ac.cn shouyiw at uta.edu yang at maebashi-it.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From peccs at insticc.info Thu Apr 6 10:35:47 2017 From: peccs at insticc.info (peccs at insticc.info) Date: 6 Apr 2017 15:35:47 +0100 Subject: Connectionists: CFP SPCS 2017 - Int.l Conf. on Signal Processing and Communication Systems (Madrid/Spain) Message-ID: <20170406143606.28340.58021.D9EE1E24@insticc.info> SUBMISSION DEADLINE International Conference on Signal Processing and Communication Systems Submission Deadline: April 18, 2017 http://www.spcs.peccs.org/ July 27 - 29, 2017 Madrid, Spain. SPCS is organized in 4 major tracks: - Image Processing - Audio and Speech Signal Processing - Biomedical Signal Processing - Communication Systems In Cooperation with ACM SIGAPP, EUROMICRO. With the presence of internationally distinguished keynote speakers: Peter Stavroulakis, Founder and First President of the Telecommunications Systems Research Institute of Crete, Greece Jose Duato, UPV, Spain Charalabos Skianis, University of the Aegean, Greece A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer. All papers presented at the congress venue will also be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/). Should you have any question please don?t hesitate contacting me. Kind regards, SPCS Secretariat Address: Av. D. Manuel I, 27A, 2? esq. 2910-595 Setubal, Portugal Tel: +351 265 520 184 Fax: +351 265 520 186 Web: http://www.spcs.peccs.org/ e-mail: peccs.secretariat at insticc.org From ijcci at insticc.info Thu Apr 6 11:51:43 2017 From: ijcci at insticc.info (ijcci at insticc.info) Date: 6 Apr 2017 16:51:43 +0100 Subject: Connectionists: CFP IJCCI 2017 - 9th Int.l Joint Conf. on Computational Intelligence (Funchal, Madeira/Portugal) Message-ID: <20170406155202.87988.16955.02EEBB91@insticc.info> SUBMISSION DEADLINE 9th International Joint Conference on Computational Intelligence Submission Deadline: May 22, 2017 http://www.ijcci.org/ November 1 - 3, 2017 Funchal, Madeira, Portugal. IJCCI is organized in 4 major tracks: - Evolutionary Computation - Fuzzy Computation - Neural Computation - Cognitive and Hybrid Systems In Cooperation with AIXIA, AAAI, EUSFLAT. With the presence of internationally distinguished keynote speakers: Ant?nio Dourado, University of Coimbra, Portugal Emma Hart, Edinburgh Napier University, United Kingdom Paulo Novais, Universidade do Minho, Portugal A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer. All papers presented at the congress venue will also be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/). Should you have any question please don?t hesitate contacting me. Kind regards, IJCCI Secretariat Address: Av. D. Manuel I, 27A, 2? esq. 2910-595 Setubal, Portugal Tel: +351 265 100 033 Fax: +351 265 520 186 Web: http://www.ijcci.org/ e-mail: ijcci.secretariat at insticc.org From ralph.etiennecummings at gmail.com Thu Apr 6 11:49:42 2017 From: ralph.etiennecummings at gmail.com (Ralph Etienne-Cummings) Date: Thu, 6 Apr 2017 11:49:42 -0400 Subject: Connectionists: FINAL CALL FOR PARTICIPATION: 2017 Neuromorphic Cognition Engineering Workshop Message-ID: > > *Call for Applications to the 2017 NEUROMORPHIC COGNITION ENGINEERING > WORKSHOP* > > *Sunday June 25th - Saturday July 16th, 2017, Telluride, Colorado* > > > *Application Website: https://academicjobsonline.org/ajo/jobs/8908 > * > > Institute of Neuromorphic Engineering Webpages: http://ine-web.org/ > > Past workshop wiki is at http://telluride.iniforum.ch/ > > *IMPORTANT DATES FOR APPLICATION* (Instructions are at the bottom of the > page) > > Application Website Open - 16th February, 2017 > > Applications Due - 9th April, 2017 > > Notification of Acceptance - 21st April, 2017 > > *GOALS:* > > Neuromorphic engineers design and fabricate artificial neural systems > whose organizing principles are based on those of biological nervous > systems. Over the past 18 years, this research community has focused on the > understanding of low-level sensory processing and systems infrastructure; > efforts are now expanding to apply this knowledge and infrastructure to > addressing higher-level problems in perception, cognition, and learning. In > this 3-week intensive workshop and through the Institute for Neuromorphic > Engineering (INE), the mission is to promote interaction between senior and > junior researchers; to educate new members of the community; to introduce > new enabling fields and applications to the community; to promote on-going > collaborative activities emerging from the Workshop, and to promote a > self-sustaining research field. *The 2017 workshop will be focused on the > theme of Neuromorphic Autonomous Agents.* > > *FORMAT:* > > The three week summer workshop will include background lectures on systems > and cognitive neuroscience (in particular sensory processing, learning and > memory, motor systems and attention), practical tutorials on emerging > hardware design, mobile robots, hands-on projects, and special interest > groups. Participants are required to take part and possibly complete at > least one of the projects proposed. They are furthermore encouraged to > become involved in as many of the other activities proposed as interest and > time allow. There will be two lectures in the morning that cover issues > that are important to the community in general. Because of the diverse > range of backgrounds among the participants, some of these lectures will be > tutorials, rather than detailed reports of current research. These lectures > will be given by invited speakers. Projects and interest groups meet in the > late afternoons, and after dinner. Following the theme of the 2017 > workshop, the projects this year will focus on developments in robotics, > learning, control, sensors, language and reasoning, and > computational/experimental aspects of systems that can accomplish goals > with limited human intervention. > > *2017 TOPIC AREAS:* > > Tracking Auditory Attention with Science and Robots: Edmund Lalor > (University of Rochester/Trinity College Dublin), Alain de Cheveigne > (ENS/CNRS/UCL) > > Neuromorphic Approaches to Drone Autonomy: Kwabena Boahen (Stanford > University), Chris Eliasmith (University of Waterloo) > > Neuromorphic Event-based Compound Eyes and Vision: Ryad Benjamin Benosman > (UPMC, Paris), Elisabetta Chicca (University of Bielefeld) > > Neuromorphic Autonomous Agents for Exploration and Navigation of Unknown > Environments : Emre Neftci (University of California, Irvine) and Scott > Koziol (Baylor University) > > Computational Neuroscience (invitational mini-workshop) : Terry Sejnowski > (Salk Institute) > > *LOCATION AND ARRANGEMENTS:* > > The summer school will take place in the small town of Telluride, 9000 > feet high in southwest Colorado, about 6 hours drive away from Denver (350 > miles). There are several small airports (e.g. Montrose) close to > Telluride. All facilities within the beautifully renovated public school > building are fully accessible to participants with disabilities. > Participants will be housed in ski condominiums, within walking distance of > the school. Participants are expected to share condominiums. > > The workshop is intended to be very informal and hands-on. Participants > are not required to have had previous experience in analog VLSI circuit > design, computational or machine vision, systems level neurophysiology or > modeling the brain at the systems level. However, we strongly encourage > active researchers with relevant backgrounds from academia, industry and > national laboratories to apply, in particular if they are prepared to work > on specific projects, talk about their own work or bring demonstrations to > Telluride (e.g. robots, chips, software). Wireless internet access will be > provided. Technical staff present throughout the workshops will assist with > software and hardware issues. We encourage participants to bring along > their personal laptop. > > No cars are required. Given the small size of the town, we recommend that > you do not rent a car. Bring hiking boots, warm clothes, rain gear, and a > backpack, since Telluride is surrounded by beautiful mountains. > > Unless otherwise arranged with one of the organizers, we expect > participants to stay for the entire duration of this three week workshop. > > *FINANCIAL ARRANGEMENTS:* > > Notification of acceptances will be mailed out around the April 15th, > 2017. The Workshop covers all your accommodations and facilities costs for > the 3 weeks duration. You are responsible for your own travel to the > Workshop. > > Registration Fees: For expenses not covered by federal funds, a Workshop > registration fee is required. The fee is 1500 USD per participant for the > 3-week Workshop. This is expected from all participants at the time of > acceptance. > > Accommodations: The cost of a shared condominium, typically a bedroom in a > shared condo for senior participants or a shared room for students, will be > covered for all academic participants. Upgrades to a private rooms or > condos will cost extra. Participants from National Laboratories and > Industry are expected to pay for these condominiums. > > The 2017 Workshop and Summer School on Neuromorphic Engineering is > sponsored by the National Science Foundation, Institute of Neuromorphic > Engineering, The EU-Collaborative Convergent Science Network (CNS-II), > University of Maryland - College Park, Institute for Neuroinformatics ? > University of Zurich and ETH Zurich, Georgia Institute of Technology, Johns > Hopkins University, Boston University, University of Western Sydney and the > Salk Institute. > > *Workshop Directors:* > > Cornelia Ferm?ller (University of Maryland) > > Ralph Etienne-Cummings (Johns Hopkins University) > > Shih-Chii Liu (University of Zurich and ETH Zurich) > > Timmer Horiuchi (University of Maryland) > > Katalin Gothard (University of Arizona) > > Michael Pfeiffer (Bose Research) > > Francisco Barranco (University of Granada) > > *Former 2007-2013 Workshop Director:* > > Tobi Delbruck (University of Zurich and ETH Zurich) > > *Workshop Advisory Board:* > > Andreas Andreou (Johns Hopkins University) > > Andre van Schaik (University Western Sydney, Australia) > > Avis Cohen (University of Maryland) > > Barbara Shinn-Cunningham (Boston University) > > Giacomo Indiveri (Institute of Neuroinformatics, University of Zurich and > ETH Zurich) > > Jonathan Tapson (University Western Sydney, Australia) > > Malcolm Slaney (Google) > > Jennifer Hasler (Georgia Institute of Technology) > > Rodney Douglas (Institute of Neuroinformatics, University of Zurich and > ETH Zurich) > > Ryad Benosman (Institut de la Vision, France) > > Shihab Shamma (University of Maryland) > > Tobi Delbruck (Institute of Neuroinformatics, University of Zurich and ETH > Zurich) > > *HOW TO APPLY:* > > Applicants should be at the level of graduate students or above (i.e. > postdoctoral fellows, faculty, research and engineering staff and the > equivalent positions in industry and national laboratories). We actively > encourage women and minority candidates to apply. > > Anyone interested in proposing or discussing specific projects should > contact the appropriate topic leaders directly. > > The application website is: > > *https://academicjobsonline.org/ajo/jobs/8908 > * > > Important Note: This is not a job application but a mechanism to receive > applications for the Telluride Neuromorphic Cognition Workshop > > *Application information needed:* > > Contact email address. > > First name, Last name, Affiliation, valid e-mail address. > > Curriculum Vitae (a short version, please). > > One page summary of background and interests relevant to the workshop, > including possible ideas for workshop projects. Please indicate which topic > areas you would most likely join. > > Two letters of recommendation (uploaded directly by references). > > *Applicants will be notified by e-mail.* > > 16th February, 2017 - Applications Accepted on Website > > 9th April, 2017 - Applications Due > > 21st April, 2017 - Notification of Acceptance > > *Direct all questions to : Ms. Pamela White at tellurideworkshop at gmail.com > * > > -- > Ralph Etienne-Cummings, PhD, FIEEE > Professor and Chairman > Department of Electrical and Computer Engineering > Computational Sensor Motor Systems Lab > Laboratory for Computational Sensing and Robotics > The Johns Hopkins University > Baltimore, MD > [image: cid:image001.png at 01CFC064.B58B46A0] > > -- Ralph Etienne-Cummings, PhD, FIEEE Professor and Chairman Department of Electrical and Computer Engineering Computational Sensor Motor Systems Lab Laboratory for Computational Sensing and Robotics The Johns Hopkins University Baltimore, MD [image: cid:image001.png at 01CFC064.B58B46A0] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 20171 bytes Desc: not available URL: From erdi.peter at wigner.mta.hu Thu Apr 6 12:24:20 2017 From: erdi.peter at wigner.mta.hu (=?ISO-8859-2?Q?=C9rdi_P=E9ter?=) Date: Thu, 6 Apr 2017 18:24:20 +0200 (CEST) Subject: Connectionists: grants for the Systems Neurosceince summer program Message-ID: BSCS grants are available for our Systems Neuroscience: a study abroad summer program in Budapest (June 12 - Aug 4 2017, Budapest). See http://sysneuro-semester.org/ Official transcript of the program is issued by the Semmelweis University Medical School, Budapest! For students with European passports we are proud to announce the availability of a limited number of grants provided by BSCS! For successful applicants the tuition fee AND accommodation is a dramatically reduced 1500 euro. Program start/end dates June 12th- Aug 4th, 2017. The BSCS Systems Neuroscience Program takes place at and academically supervised by the Department of Anatomy, Histology and Embryology, Semmelweis University Medical School, Budapest. **************************************** Applications should be sent to ALL of these addresses by April 21th, 2017. However, they will be reviewed on rolling base! P?ter ?rdi (SysNeuro Director; BSCS Co-Director), perdi at kzoo.edu L?szl? N?gyessy SysNeuro Co-Director bscs at bscs-us.org From fanny.ficuciello at unina.it Thu Apr 6 12:41:31 2017 From: fanny.ficuciello at unina.it (Fanny Ficuciello) Date: Thu, 06 Apr 2017 18:41:31 +0200 Subject: Connectionists: ICRA 2017 Workshop: "Learning and control for autonomous manipulation systems: the role of dimensionality reduction" Message-ID: <20170406184131.71463zkth0hdqy0r@inbox.unina.it> [Apologies for multiple copies of this announcement] ICRA 2017 Workshop on Learning and control for autonomous manipulation systems: the role of dimensionality reduction -------------------------------------------------------------------------------------------------------------------- Dear colleagues, we invite you to submit your contributions to the ICRA 2017 Full Day Workshop "Learning and control for autonomous manipulation systems: the role of dimensionality reduction". The Workshop will be held at ICRA 2017 on June 2, 2017 from h. 8:30 to 17:00. Workshop webpage: http://www.icra2017-ws-lecom.unina.it/ =============================================================================== Call for Papers --------------- We invite you to submit short papers (2-4 pages) or full papers (6 pages), using the standard ICRA template. Please send your contribution in pdf format to lecom.icra2017 at gmail.com. The submissions will be reviewed based on relevance and quality. Multimedia material is optional and can be sent as a zip file (if <10MB) or with a google drive/dropbox/youtube link. Accepted contributions will be included in the workshop program with a spotlight presentation followed by an interactive session. The workshop contributions will appear as online proceedings. Contributors to the workshop will be invited to submit extended versions of the manuscripts to a special issue (publisher to be announced during the Workshop). =============================================================================== Call for Demos -------------- We invite you to show a demo of your recent work. In order to participate, please send a 1-page description of the demo in a pdf format to lecom.icra2017(at)gmail.com. Optionally, a video can be included in a zip file (if < 10MB) or shared with a suitable application. Please include in your proposal basic requirements such as screens, plugs, and desks. =============================================================================== Important Dates: ---------------- Abstract submission: 14 April, 2017 Proposal for Demo Submission: 14 April, Notification of acceptance: 24 April, 2017 Workshop: 2 June, 2017 =============================================================================== Topic and Objectives -------------------- New generation of robots, to serve and substitute humans in various kinds of application, should have comparable abilities to deftly move, autonomously learn and make decisions. Analytical approaches to manipulation require precise model of the objects, accurate description of the task, and evaluation of object affordance, which all make the process time consuming. To learn and execute new tasks just as humans do, i.e. through trial-and-error and compliant adaptation to the environment, human-like physical interaction is crucial. Therefore, advanced mechanical designs such as tendon-driven actuation, underactuated compliant mechanisms and hyper-redundant/continuum robots might exhibit enhanced capabilities of adapting to changing environments. As a matter of fact, high degrees of freedom (DoF) and compliance increase the complexity of modelling and control of these devices. To this purpose, the adoption of coordinated motion patterns leads to a problem of reduced dimension. As a consequence, model-based control strategies of manipulation activities can be learned from human experience and, relying on dimensionality reduction, can be integrated with model-free reinforcement learning algorithms which have the potential to learn from actions. The purpose of the workshop is to portray the level of autonomy that anthropomorphic robotic systems have reached today and to chart possible paths towards improved manipulation capabilities by means of self-adaptability to the environment. The workshop intends to spotlight how autonomy depends on the ability to adapt to the environment by learning from experience, and how, for this purpose, physical interaction is critical and consequently smart design makes the difference. This workshop aims at discussing the integration of learning, control and design aspects that should not be separated in the complex problem of robotic manipulation. Indeed, these aspects can interact and take advantage of one another being inspired by the functioning, reasoning and physical resemblance of human beings. Of course, in this contest the perception is involved in the process and the integration of visual and tactile sensing is a crucial issue during the interaction with the environment. Some of the questions we will try to answer are: -How human experience can help to develop new paradigm for anthropomorphic devices control -How a synergistic approach can help to simplify modeling of high degrees of freedom systems -How dimensionality reduction will help the learning process -How vision and tactile information can be integrated in the learning process and in control strategies =============================================================================== Topics of interest include but not limited to the following ----------------------------------------------------------- -Dimensionality reduction in anthropomorphic design: mechanical and motor-synergies -Model of reduced dimensions learned from humans for control simplification of high degrees of freedom devices -Synergy-based learning and control strategies -Learning visual representations for perception-action systems -Learning grasping and manipulation from tactile information -Vision and force integration for autonomous control of manipulation systems -Dynamic movement primitives -Imitation learning and Reinforcement learning =============================================================================== Organizers ---------- Dr. Fanny Ficuciello PRISMA Lab Department of Electrical Engineering and Information Technology University of Naples Federico II via Claudio 21, 80125, Naples, Italy phone: +39 081 7683916 fanny.ficuciello at unina.it http://wpage.unina.it/fanny.ficuciello Dr. Sylvain Calinon Idiap Research Institute Centre du Parc Rue Marconi 19, PO Box 592, CH-1920 Martigny, Switzerland phone: +41 27 721 77 61 sylvain.calinon at idiap.ch http://calinon.ch/ Dr. Pietro Falco Marie Curie Fellow Technische Universit?t M?nchen Department of Dynamic Human-Robot-Interaction for Automation Systems Karlstra?e 45, 5. OG. 80333 M?nchen, phone: +49(89) 289-26885 pietro.falco at tum.de https://www.hri.ei.tum.de/en/team/pietro-falco/ ---------------------------------- PhD. Eng. Fanny Ficuciello Dipartimento di Ingegneria Elettrica e Tecnologie dell'Informazione Universit? di Napoli Federico II Via Claudio 21, 80125 Napoli, ITALY Tel: +39 0817683186 e-mail: fanny.ficuciello at unina.it Skype: fficuciello URL: http://wpage.unina.it/fanny.ficuciello/ ---------------------------------- From doya at oist.jp Fri Apr 7 05:33:54 2017 From: doya at oist.jp (Kenji Doya) Date: Fri, 7 Apr 2017 18:33:54 +0900 Subject: Connectionists: The 44th Naito Conference on Decision Making in the Brain: Poster application by April 12, 2017 Message-ID: <63FE8773-94CA-4C96-8837-D7BD8E291287@oist.jp> The 44th Naito Conference Decision Making in the Brain: Motivation, Prediction, and Learning https://www.naito-f.or.jp/en/conference/co_index.php?data=info_44 The Naito Conference is a four-day meeting with 25 invited speakers and about 60 poster presenters for in-depth discussion and networking. We are now calling for poster presentations, due April 12, 2017. Date: October 3 (Tue.) - 6 (Fri.), 2017 Venue: CHATERAISE Gateaux Kingdom SAPPORO http://www.gateauxkingdom.com ? Plenary Lecturers ?Randolf H. MENZEL, Free University Berlin, Germany ?Wolfram SCHULTZ, University of Cambridge, UK ? Invited Lecturers ?Ralph ADOLPHS ?Nathaniel D. DAW ?Hans Henrik EHRSSON ?Aikaterini FOTOPOULOU ?Stefano FUSI ?Hiroshi IMAMIZU ?Masaki ISODA ?Mitsuo KAWATO ?Etienne KOECHLIN ?Anatol C. KREITZER ?Minmin LUO ?Masanori MATSUZAKI ?Masako MYOWA ?Hiroyuki NAKAHARA ?Hitoshi OKAMOTO ?Michael PLATT ?Joshua W. SHAEVITZ ?Angela SIRIGU ?Hidehiko TAKAHASHI ?Sho YAGISHITA ? No registration fee. ? Accommodations and meals will be covered by the Naito Foundation. ? Official langage is English. ? Participation for full four days is a prerequisite. Application Period: March 17 (Fri.) - April 12 (Wed.), 2017 Application: via the web site http://naito.umin.jp/index-e.htm ?Kenji DOYA (Chair), Okinawa Institute of Science and Technology Graduate University, Japan ?Masamichi SAKAGAMI, Brain Science Institute, Tamagawa University, Japan ?Shinsuke SHIMOJO, California Institute of Technology, USA ?Hiromu TANIMOTO, Graduate School of Life Sciences, Tohoku University, Japan ?Makiko YAMADA, National Institutes for Quantum and Radiological Science and Technology, Japan ? The Naito Conference Secretariat https://www.naito-f.or.jp ? Phone: +81-3-3813-3005 ? Email: naito44 at sunpla-mcv.com ---- Kenji Doya Neural Computation Unit, Okinawa Institute of Science and Technology 1919-1 Tancha, Onna, Okinawa 904-0495, Japan Phone: +81-98-966-8594; Fax: +81-98-966-2891 https://groups.oist.jp/ncu Postdoc positions available! From samarasinghe at ini.rub.de Fri Apr 7 05:39:28 2017 From: samarasinghe at ini.rub.de (samarasinghe at ini.rub.de) Date: Fri, 7 Apr 2017 11:39:28 +0200 Subject: Connectionists: Postdoctoral Scholar Position in Computational Neuroscience (Data Analysis) Message-ID: ?Pending funding approval, Prof. Sen Cheng in the Institute for Neuroinformatics at Ruhr University Bochum, invites applications for a full time position of *Postdoctoral Scholar (TV-L E13) in Computational Neuroscience*. The position starts on 1st July 2017 and is funded for 3 years. *Job description* Analyze the learning dynamics in neural and psychophysiological data as well as behavioral data that will be collected by other projects within the framework of a collaborative research group. Comparing the learning dynamics between individuals, species, learning phases and learning paradigms. Develop algorithms to analyze the learning dynamics. Coordinate research with other participating projects. Further information can be found at https://www.ini.rub.de/research/groups/computational_neuroscience/. The working language of the institute is English. There is no teaching obligation. *Your Profile:* Candidates should have an excellent degree in neuroscience, physics, mathematics, engineering, or a related field. Competence in mathematical modeling, and excellent programming skills (e.g. Python, C/C++, Matlab) are mandatory. In addition, relevant research experience in neuroscience or a related field is required. Experience in the study of learning dynamics and in working within a collaborative research group would be a further asset. Please send your applications, including CV, transcripts and research statement electronically, as a single PDF file, to samarasinghe at ini.rub.de by 23.04.2017. In addition, at least two academic references may be sent independently to the above email address. Travel costs for interviews will not be reimbursed. The Ruhr-University Bochum provides a dynamic research environment in neuroscience and cognitive science. The Institute for Neural Computation unifies various core competencies extending from experimental and theoretical neuroscience to machine learning and robotics. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. Contact person: Vinita Samarasinghe -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut f?r Neuroinformatik Ruhr-Universit?t Bochum, NB 3/26 Universit?tstr. 150 D-44780 Bochum Tel: +49 (0)234 32 27316 Email:samarasinghe at ini.rub.de Hours: Monday 9-12 & 14-16; Friday 9-12 & 14-16; Wednesday 12 - 16 -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut f?r Neuroinformatik Ruhr-Universit?t Bochum, NB 3/26 Universit?tstr. 150 D-44780 Bochum Tel: +49 (0)234 32 27316 Email: samarasinghe at ini.rub.de Hours: Monday 9-12 & 14-16; Friday 9-12 & 14-16; Wednesday 12 - 16 -------------- next part -------------- An HTML attachment was scrubbed... URL: From neurotechnix at insticc.info Fri Apr 7 11:12:42 2017 From: neurotechnix at insticc.info (neurotechnix at insticc.info) Date: 7 Apr 2017 16:12:42 +0100 Subject: Connectionists: CFP NEUROTECHNIX 2017 - 5th Int.l Congress on Neurotechnology, Electronics and Informatics (Funchal, Madeira/Portugal) Message-ID: <20170407151304.54138.53366.ED41B077@insticc.info> SUBMISSION DEADLINE 5th International Congress on Neurotechnology, Electronics and Informatics Submission Deadline: May 22, 2017 http://www.neurotechnix.org/ October 30 - 31, 2017 Funchal, Madeira, Portugal. NEUROTECHNIX is organized in 4 major tracks: - Neural Rehabilitation and Neuroprosthetics - Neuroinformatics and Neurocomputing - Neuromodulation and Neural Engineering - Neuroimaging and Neurosensing In Cooperation with Neurotech Network, IFCN. With the presence of internationally distinguished keynote speakers: Dr. Moritz Grosse-Wentrup, Max Planck Institute for Inteligent Systems, Germany A short list of presented papers will be selected so that revised and extended versions of these papers will be published by Springer. All papers presented at the congress venue will also be available at the SCITEPRESS Digital Library (http://www.scitepress.org/DigitalLibrary/). Should you have any question please don?t hesitate contacting me. Kind regards, NEUROTECHNIX Secretariat Address: Av. D. Manuel I, 27A, 2? esq. 2910-595 Setubal, Portugal Tel: +351 265 100 033 Fax: +351 265 520 186 Web: http://www.neurotechnix.org/ e-mail: neurotechnix.secretariat at insticc.org From carsten.mehring at biologie.uni-freiburg.de Fri Apr 7 07:46:22 2017 From: carsten.mehring at biologie.uni-freiburg.de (Carsten Mehring) Date: Fri, 7 Apr 2017 13:46:22 +0200 Subject: Connectionists: MSc Neuroscience - University of Freiburg, Germany Message-ID: <8BC9C9AA-5350-435C-A533-63BD0D5DAF84@biologie.uni-freiburg.de> MSc program in Neuroscience - University of Freiburg, Germany We are inviting applications for the interdisciplinary MSc program in Neuroscience at the University of Freiburg, Germany. The program provides theoretical and practical training in neuroscience, covering both the foundations and latest research in the field. It is taught by lecturers from an international scientific community from three faculties and two neuroscience research centres. The modular course structure caters to the specific backgrounds and research interests of each individual student and we offer specialisations in computational neuroscience, neuro-/optophysiology, neurotechnology and developmental neuroscience. All courses are taught in English. We welcome applications with a background in natural sciences, mathematics, behavioural sciences, computer science or engineering sciences. The deadline for applications for the October 2017 entry is the 31st of May 2017. Further details can be found on our homepage http://www.mscneuro.uni-freiburg.de Please contact mscneuro at uni-freiburg,de for further questions. With kind regards Carsten Mehring ? Bernstein Center Freiburg & Faculty of Biology University of Freiburg -------------- next part -------------- An HTML attachment was scrubbed... URL: From ph.castonguay at gmail.com Fri Apr 7 16:30:51 2017 From: ph.castonguay at gmail.com (Philippe Castonguay) Date: Fri, 7 Apr 2017 16:30:51 -0400 Subject: Connectionists: Neuroscience Summer Schools List Message-ID: Dear all, We made a neuroscience (and related field) summer schools list that could be of interest to students. They are ordered by deadlines and some of them are still open to registration for their 2017 edition. https://github.com/PhABC/neuroSummerSchools/blob/master/README.md You can add missing summer schools or edit current list by sending a pull request or by sending me a message. Philippe Castonguay -------------- next part -------------- An HTML attachment was scrubbed... URL: From shuaili.sli at gmail.com Sun Apr 9 07:59:05 2017 From: shuaili.sli at gmail.com (Shuai Li) Date: Sun, 9 Apr 2017 12:59:05 +0100 Subject: Connectionists: CFP - Deadline Apr 14 - DSCI'17 at San Francisco, CA, US Message-ID: Dear Colleagues, We are glad to announce the availability of Call for Conference Papers for The 14th 2017 IEEE International Conference on Ubiquitous Intelligence and Computing, Main Research Track: Data Science and Computational Intelligence, Aug 4 - Aug 8, San Francisco, CA, US (DSCI 2017). The purpose of this conference is to identify challenging problems facing the development of innovative knowledge and information systems, and to shape future research directions through the publication of high quality, applied and theoretical research findings. As we enter the big data era, Web Intelligence has extended and made use of artificial intelligence for new products, services and frameworks that are empowered by the World Wide Web. In DSCI 2017, we will continue the tradition of promoting collaboration among multiple areas. This year we are highlighting the advances in frontiers and applications of general areas such as big data, data science, artificial intelligence, social computing, data mining, information retrieval, and machine learning, etc. This is uniquely placed to deliver fresh perspectives on big data science. Topics of interest include, but are not limited to, the following areas: * Big Data Analysis * Data Science * Artificial Intelligence * Information Retrieval * Data Mining * Machine Learning * Recommender Systems * Deep Neural Networks * Systems Neuroscience * Reinforcement Learning * Robotics * Database * Computer Vision * Natural Language Processing * Human-Computer Interaction * Software Engineering * Social Computing Accepted papers must contain novel results. Contributions can be either theoretical or empirical. Results will be judged on the degree to which they have been objectively established and/or their potential for scientific and technological impact. =============================================================== The 2017 IEEE International Conference on Ubiquitous Intelligence and Computing, Main Research Track: Data Science and Computational Intelligence Aug 4 - Aug 8, San Francisco, US (DSCI 2017) Author Notification: May 10, 2017 Camera-Ready Due: June 10, 2017 =============================================================== Research Track Chairs: Shuai Li, University of Cambridge, UK Fei Hao, Shaanxi Normal University, China Program Committee Members: Qingcheng Zhang, St. Francis Xavier University, Canada Zheng Pei, Xihua University, China Arjumand Younus, National University of Ireland Galway, Ireland Xiaoliang Chen, Xihua University, China Safee Ullah Chaudhary, Lahore University of Management Sciences, Pakistan Pitt X. Dong, BiciTech, China Muhammad Atif Qureshi, Insight-Centre (UCD), Ireland Xiaokang Wang, Huazhong University of Science and Technology, China Khurram Shahzad, University of the Punjab, Pakistan Shi Cheng, Shaanxi Normal University, China Don-Wan Choi, Simon Fraser University, Canada Shengtong Zhong, Norwegian University of Science and Technology, Norway +Paper Submission: A submission in PDF is limited to 8 pages for a main conference paper, following the IEEE proceedings format: https://www.ieee.org/conferences_events/conferences/publishi ng/templates.html Submit PDF file by email with title 'DSCI + your paper title': fhao at snnu.edu.cn +Paper Publication: Accepted conference papers will be published by IEEE (IEEE-DL and EI indexed). At least one author of each accepted paper is required to register and present their work at the conference; otherwise the paper will not be included in the proceedings. Best Paper Awards will be presented to high quality papers. Selected papers will be recommended to special issues. Should you have any other concern feel free to contact: shuai.li at eng.cam.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From erik.wernersson at scilifelab.se Mon Apr 10 04:46:23 2017 From: erik.wernersson at scilifelab.se (Erik Wernersson) Date: Mon, 10 Apr 2017 10:46:23 +0200 Subject: Connectionists: Postdoctoral research fellow in 3D image analysis of intra-tumor heterogeneity Message-ID: *Karolinska Institutet, Department of Medical Biochemistry and Biophysics, Translational Medicine and Chemical Biology * A postdoctoral position in 3D image analysis of intra-tumor heterogeneity is immediately available in the Crosetto lab for Quantitative Biology and Technology (https://bienkocrosettolabs.org/) with the goal of studying phenotypic, genetic, and transcriptional intra-tumor heterogeneity by high-throughput microscopy imaging of serial tissue sections from different tumor types and hundreds of patients. The position is funded through a 33 million SEK research grant (Integrated Visualization of Intra-Tumor Heterogeneity) recently awarded to Dr. Crosetto by the Swedish Foundation for Strategic Research (SSF). *Research environment*The Crosetto lab is part of the Science for Life Laboratory (SciLifeLab) situated at the Karolinska Institute Solna campus. SciLifeLab is an interdisciplinary center for molecular biosciences with focus on health and environmental research, bringing under the same roof groups from four universities: Karolinska Institutet, KTH Royal Institute of Technology, Stockholm University and Uppsala University. The center features state-of-the-art technology platforms, including next-generation sequencing, high-throughput histology, super-resolution microscopy, proteomics, image analysis, and bioinformatics. The successful candidate will join an interdisciplinary and dynamic team of international researchers, including clinicians, biologists, biotechnologists, engineers, computer scientists, and physicists. Our mission is to transform the way we understand complex biological phenomena and diseases such as cancer, by integrating next-generation sequencing technologies, single-molecule microscopy methods, and advanced computational tools. *Duties*The main goals of the project are to develop image-based metrics of phenotypic, genetic, and transcriptional intra-tumor heterogeneity in various cancer types and clinical samples, and to assess whether these metrics are predictive of clinical endpoints such as response rate and overall survival. Specific tasks of the position will include: 1. Develop tools for 2D and 3D automatic segmentation of DAPI-stained nuclei in z-stacked tissue section scans 2. Develop deep learning approaches (convolutional networks) to automatically identify different cell types (tumor cells, stroma, blood vessels, etc.) in the images analyzed, with particular emphasis on identifying different immune cell types 3. Apply spatial statistics methods to study the spatial distribution of different cell types, and define metrics of intra-tumor heterogeneity to be correlated with clinical endpoints (response rate, survival) 4. Use 3D image data to construct high-resolution maps of the intra-tumor vasculature and model tumor growth The successful candidate will be jointly supervised by Dr. N. Crosetto (supervision on the biological and medical part of the project) as well as by Dr. K. Smith, Director of the BioImage Informatics national facility at SciLifeLab Stockholm (supervision on the image analysis part). *Entry requirements*A person is eligible for a position as postdoctoral research fellow if he or she has obtained a PhD no more than seven years before the last date of employment as postdoc. The successful candidate shall hold a PhD in computer science and/or physics and/or mathematics and clearly demonstrated prior experience in image processing, machine learning, and statistical analysis (not necessarily for biological applications). Proficiency in various programming languages (C++, Python, Matlab, bash) and knowledge of software engineering principles (code optimization, parallel computing) is mandatory. Familiarity with web applications design and visualization experience is a plus. Prior use of Matlab and/or Python for image analysis and familiarity with a deep learning framework (Tensorflow, Caffe, Torch) is highly desirable. Candidates with demonstrated expertise in biostatistics are particularly encouraged to apply. A strong motivation to work in an interdisciplinary and collaborative environment, and a strong sense of mission and self-drive are indispensable. Last application date 31.May.2017 11:59 PM CET For details and application, please visit https://ki.mynetworkglobal.com/en/what:job/jobID:143481/where:4/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From m.biehl at rug.nl Mon Apr 10 05:48:50 2017 From: m.biehl at rug.nl (Michael Biehl) Date: Mon, 10 Apr 2017 11:48:50 +0200 Subject: Connectionists: PostDoc vacancy Message-ID: Dear All. A PostDoc position (2 years) is available at the University of Groningen, Faculty of Science and Engineering. The position is funded by a European Research Council grant entitled Exact Chronology of Early Societies (ECHOES) led by Dr. Michael Dee: http://www.rug.nl/staff/m.w.dee/ See the link for details and a more detailed description: http://www.rug.nl/about-us/work-with-us/job-opportunities/overview?details=00347-02S0005HGP Note that the deadline for applications (only possible through the webpage) is April 30th 2017. Candidates should have a PhD in Information Engineering, Computer Science, Data Science, or a related scientific discipline, with a specific emphasis on innovative approaches to data interrogation. Experience in one or several of the following topics would be a plus: data mining, machine learning, classification and outlier detection, time series and sequence analysis. The successful applicant will be expected to work both independently and alongside team members in Groningen and abroad. -- ---------------------------------------------------------- Prof. Dr. Michael Biehl Johann Bernoulli Institute for Mathematics and Computer Science P.O. Box 407, 9700 AK Groningen The Netherlands Tel. +31 50 363 3997 www.cs.rug.nl/~biehl m.biehl at rug.nl -------------- next part -------------- An HTML attachment was scrubbed... URL: From aipingl at ece.ubc.ca Mon Apr 10 10:09:43 2017 From: aipingl at ece.ubc.ca (Aiping Liu) Date: Mon, 10 Apr 2017 22:09:43 +0800 Subject: Connectionists: Call For Papers: GlobalSIP 2017 Symposium on Signal and Information Processing for Healthcare Engineering (Montreal, Canada) Message-ID: <57BE4F86-08DB-430E-AABE-2AFA0933FCE3@ece.ubc.ca> *********************************************************************************************** 2017 5th IEEE Global Conference on Signal and Information Processing Symposium on Signal and Information Processing for Healthcare Engineering *********************************************************************************************** This Symposium will focus on advances in various dimensional information analytics in various healthcare systems. Today, healthcare engineering promises to bring tremendous benefits and opportunities to the diagnosis, prognosis, treatment, and prevention of human diseases for a better quality of life. In the meantime, healthcare engineering also presents unprecedented performance and challenges in the entire process of data collection, processing, analysis, synthesis, and visualization. The wide deployments of various healthcare systems have also raised a critical issue to health informatics caused by the sheer volume and high complexity of health data collected anywhere and anytime. Novel signal and information processing algorithms, models, systems, and platforms are needed to support the analysis, use, interpretation, and integration of diverse health data. This symposium is aimed at addressing various data analytics issues in this area. The emphasis of this symposium will be developing new signal and information processing methods and tools for emerging healthcare applications. Topics of interest include but are not limited to: Physiological data analysis (EEG, EMG, PPG, etc.) Pattern recognition & computer vision for healthcare Visualization for healthcare big data Biometrics for healthcare Body sensor networks Medical image analysis for healthcare Multimodal integration for healthcare Rehabilitation engineering Action/emotion/behavior analysis for healthcare Human-computer interface Smart homes for aged care Emerging healthcare applications Paper Submission: Prospective authors are invited to submit full-length papers (up to 4 pages for technical content including figures and possible references, and with one additional optional 5th page containing only references) or extended abstracts (up to 2 pages), for paper-less industry presentations and Ongoing Work presentations) via the GlobalSIP 2017 conference website. Manuscripts should be original (not submitted/published anywhere else) and written in accordance with the standard IEEE double-column paper template. Accepted full-length papers will be indexed on IEEE Xplore. Accepted abstracts will not be indexed in IEEE Xplore, however the abstracts and/or the presentations will be included in the IEEE SPS SigPort. Accepted papers and abstracts will be scheduled in lecture and poster sessions. Important Dates: May 15, 2017: Paper submission due June 30, 2017: Notification of Acceptance July 22, 2017: Camera-ready papers due Symposium Details: Webpage: http://2017.ieeeglobalsip.org/GS17_CfP_HCE.pdf GlobalSIP 2017 homepage: http://2017.ieeeglobalsip.org/ Symposium schedule: November 14-16, 2017 Location: Montreal, Canada -------------- next part -------------- An HTML attachment was scrubbed... URL: From zoltan.szabo.list at gmail.com Mon Apr 10 13:13:24 2017 From: zoltan.szabo.list at gmail.com (Zoltan Szabo) Date: Mon, 10 Apr 2017 19:13:24 +0200 Subject: Connectionists: D-10 reminder: Data Science Summer School @ Polytechnique Message-ID: <8f140448-6005-42f8-ddf6-54257f64dbc5@gmail.com> Dear All, This is a quick reminder, 10 days are left to apply to the Data Science Summer School @ Ecole Polytechnique (Aug. 28 - Sept. 1). -Application system closes: 20th Apr. -Link to apply: http://www.ds3-datascience-polytechnique.fr/ Best, Organizers From ted.carnevale at yale.edu Mon Apr 10 16:17:35 2017 From: ted.carnevale at yale.edu (Ted Carnevale) Date: Mon, 10 Apr 2017 16:17:35 -0400 Subject: Connectionists: 2017 NEURON Summer Course Message-ID: <5ffdc8ae-cb1c-31a7-38ee-7a333599f26b@yale.edu> This year's NEURON Summer Course is starting to fill up, so you should act soon if you are interested in taking it. The course runs from Monday, June 5, through Saturday, June 10, and will be held at Wright State University in Fairborn, Ohio. It will present a thorough introduction to computational modeling of neurons and networks with NEURON, and is suitable for individuals at all levels of expertise. In order to provide expanded coverage of parallel simulation, and to give participants more time for active learning exercises, we have increased the course duration to 6 days (5 in previous years). Space is limited, and applications will be considered in the order received. No applications will be accepted after the Monday, May 15, 2017 registration deadline, and there will be no on-site registration. For more information and the on-line registration form, see http://www.neuron.yale.edu/neuron/static/courses/summer2017/summer2017.html --Ted From J.Verhoef at donders.ru.nl Tue Apr 11 04:02:44 2017 From: J.Verhoef at donders.ru.nl (Verhoef, J.P. (Julia)) Date: Tue, 11 Apr 2017 08:02:44 +0000 Subject: Connectionists: Senior Postdoc for the Dutch Research Consortium 'Language in Interaction' (1.0 FTE) Message-ID: <11E9E0B371DBAE4EB859A9CC30606A04023E95C2@exprd04.hosting.ru.nl> Senior Postdoc for the Dutch Research Consortium 'Language in Interaction' (1.0 FTE) Dutch Research Consortium 'Language in Interaction' Maximum salary: ? 4,691 gross/month Vacancy number: 30.01.17 Application deadline: 17 April 2017 [Logo NWO] [Logo] Responsibilities The Language in Interaction research consortium invites applications for a senior postdoctoral position. You will contribute to the integration of empirical research in our consortium. You will act in close collaboration with Peter Hagoort, programme director of the consortium. This position provides the opportunity for conducting world-class research as a member of an interdisciplinary team. Moreover, it will provide the opportunity to contribute to developing a theoretical framework for our understanding of the human language faculty. Work environment The Netherlands has an outstanding track record in the language sciences. The Language in Interaction research consortium, which is sponsored by a large grant from the Netherlands Organization for Scientific research (NWO), brings together many of the excellent research groups in the Netherlands in a research programme on the foundations of language. In addition to excellence in the domain of language and related relevant fields of cognition, our consortium provides state-of-the-art research facilities and a research team with ample experience in the complex research methods that will be invoked to address the scientific questions at the highest level of methodological sophistication. These include methods from genetics, neuroimaging, computational modelling, and patient-related research. This consortium realises both quality and critical mass for studying human language at a scale not easily found anywhere else. We have identified five Big Questions (BQ) that are central to our understanding of the human language faculty. These questions are interrelated at multiple levels. Teams of researchers will collaborate to collectively address these key questions of our field. Our five Big Questions are: BQ1: The nature of the mental lexicon: How to bridge neurobiology and psycholinguistic theory by computational modelling? BQ2: What are the characteristics and consequences of internal brain organization for language? BQ3: Creating a shared cognitive space: How is language grounded in and shaped by communicative settings of interacting people? BQ4: Variability in language processing and in language learning: Why does the ability to learn language change with age? How can we characterise and map individual language skills in relation to the population distribution? BQ5: How are other cognitive systems shaped by the presence of a language system in humans? You will be appointed at the Donders Institute, Centre for Cognitive Neuroimaging (Radboud University, Nijmegen). The research is conducted in an international setting at all participating institutions. English is the lingua franca. What we expect from you We are looking for a highly motivated, creative and talented candidate to enrich a unique consortium of researchers that aims to unravel the neurocognitive mechanisms of language at multiple levels. The goal is to understand both the universality and the variability of the human language faculty from genes to behaviour. The selection criteria include: ? a PhD in an area related to the neurobiology of language and/or language sciences; ? expertise/interest in theoretical neuroscience and language; ? an integrative mindset; ? a theory-driven approach; ? good communication skills; ? excellent proficiency in written and spoken English. What we have to offer ? employment: 1.0 FTE; ? a maximum gross monthly salary of ? 4,691 based on a 38-hour working week (salary scale 11); ? in addition to the salary: an 8% holiday allowance and an 8.3% end-of-year bonus; ? you will be appointed for an initial period of 18 months, after which your performance will be evaluated. If the evaluation is positive, the contract will be extended by 30 months; ? the Collective Labour Agreement (CAO) of Dutch Universities is applicable; ? you will be classified as Researcher, level 3 in the Dutch university job-ranking system (UFO); ? the Dutch universities and institutes involved have a number of regulations that enable employees to create a good work-life balance. Are you interested in our excellent employment conditions? Other Information The institute involved is an equal opportunity employer, committed to building a culturally diverse intellectual community, and as such encourages applications from women and minorities. Would you like to know more? Further information on: Language in Interaction Further information on: Donders Institute for Brain, Cognition and Behaviour For more information about this vacancy, please contact: Prof. dr. Peter Hagoort, programme director Language in Interaction and director of DCCN Telephone: +31 24 3610648, +31 24 3521301 E-mail: p.hagoort at donders.ru.nl Are you interested? You should upload your application (attn. of Prof. dr. P. Hagoort) exclusively using the button 'Apply' below. Your application should include (and be limited to) the following attachment(s): ? a cover letter ? your curriculum vitae, including a list of publications and the names of at least two people who can provide references Please apply before 17 April 2017, 23:59 CET. [Apply] No commercial propositions please. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... 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Conf. on Engineering Applications of Neural Networks EANN 2017 (Athens, Greece, August 25-27, 2017) Paper submission deadline: 20th April, 2017 https://conferences.cwa.gr/eann2017/ -------------------------------------------------------------------------- Call for Papers -------------------------------------------------------------------------- EANN promotes the use of ARTIFICIAL NEURAL NETWORKS (ANN) and ARTIFICIAL INTELLIGENCE (AI) techniques, where significant benefits can be derived from their use. The conference is not only for reporting advances in techniques, but also for showing how ANN and AI can provide practical solutions in a wide range of applications. Papers are presented orally. Submissions are welcome from all fields of Artificial Intelligence and engineering and some special sessions, dedicated to these different fields are organized. Both theoretical and practical work should be submitted, but the authors are encouraged to focus their paper on the presentation of an application featuring experimental results on real world data. Special Issues -------------------------------------------------------------------------- - Selected papers will be considered for publication in NEURAL COMPUTING AND APPLICATIONS (Springer Journal) Impact Factor 1.492 - Selected papers will be considered for publication in EVOLVING SYSTEMS (Springer Journal) Springer CCIS Proceedings -------------------------------------------------------------------------- The proceedings of the conference will be published in the Springer CCIS Series. Authors are invited to submit electronically original, English-language research contributions or experience reports not concurrently submitted elsewhere. The proceedings of the conference will be published in Springer CCIS Series. Papers should be no longer than 10 pages formatted according to the well known LNCS Springer style. Submissions not conforming to the CCIS format, or being obviously out of the scope of the conference, will be rejected without review. Information about the Springer format can be found at http://www.springer.de/comp/lncs/authors.html. Three to five keywords characterizing the paper should be indicated at the end of the abstract. Workshops -------------------------------------------------------------------------- * 6th Mining Humanistic Data wks (MHDW 2017) * 2nd Workshop on 5G-Putting Intelligence to the Network Edge (5G-PINE 2017) * Intelligent Systems for Audio-based Monitoring (ISAM 2017) * Computational Intelligence Paradigms for Anomaly Detection in Dynamic and Uncertain Environments (CIPAD 2017) https://conferences.cwa.gr/eann2017/workshops/ Keynotes -------------------------------------------------------------------------- Three distinguished Keynote Speakers on Artificial Intelligence will be invited to give Keynote Lectures on state of the art topics. * Plamen Angelov, University of Lancaster, UK * Wlodeck Duck, Nicolaus Copernicus University, Polland * Stefanos Kollias, University of Lincoln, UK Important dates -------------------------------------------------------------------------- * Paper submission: April 20th, 2017 * Notification of paper acceptance: May 13th, 2017 * Conference Dates: 25-27 August, 2017 From m.von.papen at fz-juelich.de Tue Apr 11 04:32:26 2017 From: m.von.papen at fz-juelich.de (Michael von Papen) Date: Tue, 11 Apr 2017 10:32:26 +0200 Subject: Connectionists: Conference: Coupling & Causality in Complex Systems Message-ID: <4a8336be-2bbb-2f06-008a-e91ce82b8c1a@fz-juelich.de> ============================================================== CALL FOR PAPERS (Deadline: June 01, 2017) http://c3s.uni-koeln.de ============================================================== INTERNATIONAL CONFERENCE: *Coupling and Causality in Complex Systems* September 25-27, 2017, Cologne, Germany -------------------------------------------------------------- The interdisciplinary conference Coupling and Causality in Complex Systems (C3S) is hosted by the Competence Area 3: Quantitative Modeling of Complex Systems of the University of Cologne (UoC), Germany. It is organized by the Institute of Geophysics & Meteorology, UoC, the Institute of Clinical Neuroscience and Psychology, Heinrich-Heine University D?sseldorf and the Department of Cognitive Neuroscience at the Research Center Juelich. -------------------------------------------------------------- *Abstract* Complex systems such as the human brain, Earth?s climate and economy are characterized by a multitude of coupled processes on different spatial and temporal scales. In order to better understand the dynamics of the system at hand each scientific area has developed specific tools to identify, model and quantify these processes. The conference Coupling and Causality in Complex Systems (C3S) will present a collection of these approaches with the aim to provide scientists with new analysis strategies for their field. The conference focuses on how to characterize a complex system and on the methods for estimating and modeling of statistical coupling (e.g. network coherence, creation and modulation of small networks and local or long-range synchronization by cross frequency phase-phase and phase-amplitude coupling) and causality (e.g. Granger causality, transfer entropy). Therefore, data analysts from different study fields including neuroscience, mathematics, physics, biology, and economy will present their approaches with a particular focus on the methods they use. The aim of this conference is to foster discussions and the transdisciplinary exchange of advanced techniques, methods, and algorithms, thereby stimulating potential future collaborations. -------------------------------------------------- *Invited Speakers* Elissa Aminoff - Department of Psychology, Carnegie Mellon University, Pittsburgh, USA J?rg Breitung - Macroeconomic Policy Institute, University of Cologne, Germany David Gross - Institute of Theoretical Physics, University of Cologne, Germany Philip Holmes - Mechanical and Aerospace Engineering / Princeton Neuroscience Institute, Princeton, USA Ankit Khambhati - Department of Bioengineering, University of Pennsylvania, USA Laura Marzetti - Department of Neuroscience, Universit? degli Studi "G. d'Annunzio" Chieti - Pescara Arkady Pikovsky - Institute of Physics and Astronomy, University Potsdam, Germany Michael Rosenblum - Institute of Physics and Astronomy, University Potsdam, Germany Jakob Runge - The Grantham Institute for Climate Change, Imperial College London -------------------------------------------------- *Preliminary Session Program* We will have different sessions with differing topics and each session will be opened by one of the invited speakers. Here is a preliminary version of our program: Session 1 Synchronization I Arkady Pikovsky Session 2 Synchronization II Silvia Daun Session 3 Coupled oscillators I Phil Holmes Session 4 Coupled oscillators II Michael Rosenblum Session 5 Phase coupling Laura Marzetti Session 6 Network structures I Elissa Aminoff Session 7 Network structures II Ankit Khambati Session 8 Bayesian networks David Gross Session 9 Granger causality I J?rg Breitung Session 10 Granger causality II Esther Florin Session 11 Causal network measures Jakob Runge Further topics of interest for the conference include, amongst others, research and methods development on: functional connectivity, (partial directed) coherence, network topology, graph-theoretic measures, directed graphs, nonlinear dynamics of complex systems, complex spatio-temporal systems, mutual information and transfer entropy. -------------------------------------------------------------- *Scientific Organizing Committee* Silvia Daun - Institute of Zoology, University of Cologne, Germany; Institute of Neuroscience and Medicine, Research Center J?lich, Germany Esther Florin - Institute of Clinical Neuroscience and Psychology, D?sseldorf, Germany Joachim Gross - Center for Cognitive Neuroimaging, Glasgow, UK Michael von Papen - Institute of Geophysics & Meteorology, Cologne, Germany; Institute of Neuroscience and Medicine, Research Center J?lich, Germany -------------------------------------------------------------- PAPER SUBMISSION AND REGISTRATION Authors are invited to submit conference abstracts with up to 400 words. Authors of exceptional abstracts will be given the opportunity to present their research in a talk. However, poster sessions will be provided with ample time for discussions. For your submission, please use the conference website c3s.uni-koeln.de. To register, please send an email with the subject "registration" to c3s-conference at uni-koeln.de. Please be sure to include your full name, your affiliation and whether you qualify as student (also PhD candidates) or not. The registration fee will cover snacks and refreshments during coffee breaks, lunch and a dinner with all participants. Early-bird registration is available until July 10 with a reduced fee of 120 EUR (60 EUR for students), after July 10 the registration fee will be 240 EUR (120 EUR for students). -------------------------------------------------------------- IMPORTANT DATES Paper Submission deadline: June 01, 2017 Author Notification: mid June, 2017 Early-bird registration: July 10, 2017 Conference: September 25-27, 2017 ============================================================== Please find the call for papers and more information at the conference website: http://c3s.uni-koeln.de. For questions regarding the conference feel free to contact us via c3s-conference at uni-koeln.de. -- ------------------------------------------ UNIVERSITY OF COLOGNE Institute of Geophysics & Meteorology Coordinator of Competence Area III: Quantitative Modeling of Complex Systems Dr. Michael von Papen Email: m.papen at uni-koeln.de http://www.uni-koeln.de/~vpapenm http://complexsystems.uni-koeln.de ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ From bhanups at ncbs.res.in Tue Apr 11 07:46:37 2017 From: bhanups at ncbs.res.in (bhanups at ncbs.res.in) Date: Tue, 11 Apr 2017 17:16:37 +0530 Subject: Connectionists: Course announcement: CAMP@Bangalore 2017 Message-ID: <807a897b089f7b7978cae3bad339020c.squirrel@webmail.ncbs.res.in> We would like to announce CAMP at Bangalore 2017 from 19 July 2017 to 3 August 2017. Please see the course website at http://camp.ncbs.res.in/ CAMP @ Bangalore (Computational Approaches to Memory and Plasticity at NCBS, Bangalore) is a 16-day summer school on the theory and simulation of learning, memory and plasticity in the brain. The course consists of four modules covering sub-cellular electrical models, micro-circuits and network models, detailed models with electrical and chemical components, and systems level models, all with an emphasis on learning, memory and plasticity. All modules will have their own hands-on projects. Students worldwide are encouraged to apply. Accommodation and food will be free for the selected students. There is no registration fee. Students are advised to obtain independent travel grants. Confirmed instructors include: Andrew Holmes (National Institutes of Health, Bethesda, Maryland) Arvind Kumar (KTH, Stockholm) Avrama Kim Blackwell (George Mason University, Virginia) Joshua A. Gordon (National Institute of Mental Health, Bethesda, Maryland Rishikesh Narayanan (Indian Institute of Science, Bangalore) Sachin Deshmukh ( Indian Institute of Science, Bengaluru) Suhita Nadkarni (Indian Institute of Science Education and Research, Pune) Sumantra Chattarji (NCBS, Bangalore) Terrance Sejnowski (The Salk Institute for Biological Studies, California) Upinder Bhalla (NCBS, Bangalore) Course Organizers: Upinder Bhalla (NCBS, Bangalore) Arvind Kumar (KTH Stockholm) Rishikesh Narayanan (Indian Institute of Science, Bangalore) -- Bhanu Priya S PhD student National Centre for Biological Sciences, TIFR, Bangalore, India From fbln at ecomp.poli.br Tue Apr 11 15:42:34 2017 From: fbln at ecomp.poli.br (Prof. Fernando Buarque) Date: Tue, 11 Apr 2017 16:42:34 -0300 Subject: Connectionists: First Call for Paper: 2017 IEEE LA-CCI (4rd Latin-American Conference on Computational Intelligence), Peru - Arequipa (close to Machu Picchu) Message-ID: *** FIRST CALL FOR PAPERS *** 2017 IEEE LA-CCI - 4rd Latin-American Conference on Computational Intelligence Arequipa, Peru November, 8-10th, 2017 [on 6-7th there will two-day dedicated to the School on CI] WEBSITE => http://la-cci.org/ 1st CFP LINK => http://la-cci.org/wp-content/uploads/LA-CCI2017/1st-CFP- IEEE-LA-CCI-2017.pdf OVERVIEW: IEEE Latin American Conference on Computational Intelligence 2017 aims to bring together the Soft Computing community to present the latest achievements and innovations in the multiple areas of Computational Intelligence, encourage participation by young researchers and following the LA-CCI Manifesto (http://la-cci.org/manifesto/) is to provide a high-level international forum for scientists, researchers, engineers, professionals and educators to disseminate their latest research results and exchange views of the future research directions in the area of Computational Intelligence. MAIN-TRACKS: * Evolutionary & Swarm Computation: Genetic Algorithms, Genetic Programming, Artificial Immune Systems, Swarm Intelligence, Collective Intelligence, Evolvable Hardware, Bio-inspired Methods. * Neural & Learning Systems: Neural Networks, Machine Learning, Complex Systems, Molecular and Quantum Computing, Complex Networks. * Fuzzy & Stochastic Modeling: Fuzzy Systems, Fuzzy Control & Decision Making, Uncertainty Analysis, Rough Sets, Fractals, Multiagent Systems, Reinforcement Learning, Game Theory. KEY-SPEAKERS (CONFIRMED): - Pablo Estevez ? Universidad de Chile (Chile) * Talk: TBA - Giuseppe Zollo ? Universit? degli Studi di Napoli Federico II (Italy) * Talk: ?The Aesthetics of Complexity: how the mind computes the beauty? - Fernando Buarque de Lima Neto ? Universidade de Pernambuco (Brazil) * Talk: ?Why Metaheuristics are so useful? - Omar Florez ? Intel Labs (USA) * Talk: ?From Machine Learning to Machine Understanding? - Mike Preuss ? University of M?nster (Germany) * Talk: ?Novel developments in CI and Games? SUBMISSIONS: Papers should be no longer than 6 pages with original contributions, using the IEEE conference format, available at the event homepage along with other instructions. Papers can be submitted using the Easychair system (https://easychair.org/conferences/?conf=2017ieeelacci ). PUBLICATION (And Special Issues): -Accepted and presented papers will be published in the IEEE LA-CCI 2016 Conference Proceedings and submitted to IEEE Xplore? -Top papers of IEEE LA-CCI 2017 will be published as extended versions in important journals related with CI (Including IEEE Latin America Transactions) IMPORTANT DATES -Submission of full papers (23:59, GMT -5) ?* May 14th, 2017* [also Theses Contest Deadline] -Notification of acceptance and Theses Contest Notification ? July 23rd, 2017. -Final (camera ready) paper due ? by August 27th, 2017. -Author registration ? by August 27th, 2017. -Early registration ? August 1st, 2017. -Regular registration ? September 10th, 2017 and onwards. -Conference Meeting ? November 8-10th, 2017. POST GRADUATE THESIS CONTEST Students graded between January 1st 2016 and June 30th 2017 can send your summaries (2500 words) to Ph.D. Diego Peluffo at diegohpo at gmail.com LA-CCI SCHOOL on COMPUTATIONAL INTELLIGENCE Check instructions VENUE Arequipa, a pleasant colonial and touristic Peruvian city (18.C in November), is located 1,000 kilometers southeast of Peru?s capital, Lima. The town is next to three volcanoes and close to the world heritage of Machu Picchu. ORGANIZERS -General Chair LA-CCI 2017 Yv?n Jes?s T?pac Valdivia, Universidad Cat?lica San Pablo ? Peru -General Co-Chair Efren Gorrostieta, Universidad Aut?noma de Quer?taro ? Mexico -Program Chair Fernando Buarque de Lima Neto, Universidade de Pernambuco ? Brazil -Program Co-Chair Miguel N??ez del Prado, Universidad del Pac?fico ? Peru -Publications Chairs Nadia Nedjah, Universidade Estadual do Rio de Janeiro ? Brazil Carmelo Bastos Filho, Universidade de Pernambuco ? Brazil -Finance Chair and Treasurer Yessenia Deisy Yari Ramos, Universidad Cat?lica San Pablo ? Peru -Publicity and Public Relations Chairs ARGENTINA: Cristian Rodriguez Rivero ? Universidad Nacional de C?rdoba BOLIVIA: Ren? V. Reynaga ? Universidad La Salle BRAZIL: Hugo Valadares ? Federal Technological University of Paran? COLOMBIA: ?lvaro Orjuela ? Universidad Antono Nari?o CHILE: Gloria Millaray Curilem Sald?as - Universidad de La Frontera ECUADOR: Diego Hern?n Peluffo-Ord??ez? Universidad T?cnica del Norte PERU: Ernesto Cuadros Vargas, Universidad de Ingenier?a y Tecnolog?a MEXICO: Alma Alanis ? University of Guadalajara VENEZUELA: Niriaska del Carmen Perozo ? Universidad Centroccidental ?Lisandro Alvarado? *** Come & enjoy a nice conference as well as a very nice region of Peru ! *** *(Notice that some cultural visits will be considered on the weekend to the world heritage of Machu Picchu).* Prof. Fernando Buarque , BSc MSc DIC PhD(UK) Hab(BR) AvH Fellow(DE), Senior Memb. IEEE(USA), Accred. Res. CNPq(BR) Associate Professor - Escola Polit?cnica/Universidade de Pernambuco (POLI /UPE ) Adjunct Professor - Electrical&Computer Engineering/Texas A&M University, USA (ECE at TAMU ) Graduate Faculty - Computer Science/Florida Institute of Technology, USA ( CS at FIT ) Visiting Professor - University of Johannesburg, South Africa (Kingsway Campus ) Universidade de Pernambuco / Escola Polit?cnica de Pernambuco Rua Benfica, 455 (Bl. 'C' 2. andar) * Bairro: Madalena CEP 50720-001 * Recife, Pernambuco - Brasil Fone: +55(0)81 3184-7542 * Fax: +55(0)81 3184-7548 National => http://www.fbln.pro.br/ * International => http://www.fbln.net [image: LA-CCI 2017] *"Se voc? quiser educar um homem, comece pela av? dele" (Victor Hugo).* -------------- next part -------------- An HTML attachment was scrubbed... URL: From wachtler at biologie.uni-muenchen.de Wed Apr 12 10:44:34 2017 From: wachtler at biologie.uni-muenchen.de (Thomas Wachtler) Date: Wed, 12 Apr 2017 16:44:34 +0200 (CEST) Subject: Connectionists: G-Node Short Course on Neural Data Analysis 2017 Message-ID: G-Node Short Course on Neural Data Analysis 2017 July 31 - Aug 4, 2017 in Munich, Germany The German Neuroinformatics Node organizes its eighth international one-week course on neural data analysis (formerly known as the G-Node Winter Course) at the LMU in Munich. The course offers hands-on experience in state-of-the-art methods for analyzing complex neural data to PhD students and postdocs from both theoretical and experimental backgrounds. Applicants should have an elementary understanding of linear algebra and statistics, as well as basic programming knowledge in either Matlab or Python. Faculty: Jan Grewe ? Eberhard Karls Universit?t T?bingen Jannis Hildebrandt ? Carl von Ossietzky Universit?t Oldenburg Hendrikje Nienborg ? Centre for Integrative Neuroscience T?bingen Fabian Sinz ? Baylor College of Medicine Houston Topics: ? Spectral analysis ? Mutual information ? Machine learning ? Neural tuning and decoding ? Signal Detection Theory ? Multi-Channel Recording Analysis ? Population Dynamics ? Synchronization ? Noise ? Deadline for application: May 15, 2017 For more information visit http://www.g-node.org/dataanalysis-course-2017 From yang at maebashi-it.org Wed Apr 12 08:24:49 2017 From: yang at maebashi-it.org (Yang) Date: Wed, 12 Apr 2017 21:24:49 +0900 Subject: Connectionists: [Brain Informatics 2017] Call for Tutorial, Workshop, and Special Session Proposals Message-ID: [Apologies if you receive this more than once] CALL FOR TUTORIAL, WORKSHOP AND SPECIAL SESSION PROPOSALS The 2017 International Conference on Brain Informatics (BI'17) THE 10TH ANNIVERSARY OF BRAIN INFORMATICS November 16-18, 2017, Beijing, China Homepage: http://bii.ia.ac.cn/bi-2017/ --------------------------------------------------------------------------------- [EXTENDED!!] DEADLINE FOR WORKSHOP/SPECIAL SESSION PROPOSALS: April 20, 2017 --------------------------------------------------------------------------------- *** KEYNOTE SPEAKERS *** Alan Evans (McGill University, Canada) Tom Mitchell (Carnegie Mellon University, US) Yanchao Bi (Beijing Normal University, China) Adam Ferguson (University of California San Francisco, US) Bin Hu (Lanzhou University, China) Michael Hawrylycz (Allen Institute for Brain Science, US) Dinggang Shen (University of North Carolina at Chapel Hill, US) ================================================== Brain Informatics (BI) conference series provides a premier forum to bring together researchers and practitioners in the fields of neuroscience, cognitive science, computer science, data science, artificial intelligence, information communication technologies, and neuroimaging technologies. BI'17 addresses the computational, cognitive, physiological, biological, physical, ecological and social perspectives of brain informatics, as well as topics relating to mental health and well-being. It also welcomes emerging information technologies, including but not limited to Internet/Web of Things (IoT/WoT), cloud computing, big data analytics and interactive knowledge discovery related to brain research. BI'17 also encourages submissions that explore how advanced computing technologies are applied to and make a difference in various large-scale brain studies and their applications. BI'17 welcomes workshop/special-session paper submissions (full paper and abstract submissions). Both research and application papers are solicited. All submitted papers will be reviewed on the basis of technical quality, relevance, significance and clarity. Accepted full papers will be included in the proceedings by Springer LNCS/LNAI. The organizers of Workshops and Special-Sessions are invited to prepare a book proposal based on the topics of the workshop/special session for possible book publication in the Springer-Nature Brain Informatics & Health book series (http://www.springer.com/series/15148). *** Topics and Areas *** Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Investigations of Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Track 5: Brain-Inspired Intelligence and Computing In addition to the topics of interest included on the Call for Papers, for the tutorials, workshops/special sessions, we are interested in the topics listed below: * Big Data techniques for neuroimaging and neural recording applications * Neurogenetics * Data management and sharing for neuroscience * Data analytic techniques in brain diseases and health * Computational neuroscience * Brain-inspired intelligence research * Dendritic Computing * Neuromorphic/neuroinspired computing * Mental health, including neurodegenerative and neurodevelopmental diseases * Computing for the brain and with the brain * Clinical neuroscience and applications IMPORTANT DATES (Extended): =========================== April 20, 2017: Submission deadline for workshop/special-session proposals April 30 , 2017: Notification of workshop/special-session acceptance May 1, 2017: Submission deadline for full papers May 20, 2017: Submission deadline for workshop/special-session papers June 10, 2017: Notification of full paper acceptance June 20, 2017: Notification of workshop/special-session paper acceptance June 20, 2017: Submission deadline for abstracts July 10, 2017: Notification of abstract acceptance November 16, 2017: Tutorials, workshops and special-sessions November 17-18, 2017: Main conference PAPER SUBMISSIONS & PUBLICATIONS: ================================= TYPE-I (Submission deadline for workshop/special-session papers: May 20, 2017): Papers need to have up to 10 pages in LNCS format: http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 All full length papers accepted (and all special sessions' full length papers) will be published by Springer as a volume of the series of LNCS/LNAI. TYPE-II (Abstract Submissions; Submission Deadline: June 20, 2017): Abstracts have a word limit of 500 words. Experimental research is particularly welcome. Accepted abstract submissions will be included in the conference program, and will be published as a single, collective proceedings volume. Title: Include in the title of the abstract all words critical for a subject index. Write your title in sentence case (first letter is capitalized; remaining letters are lower case). Do not bold or italicize your full title. Author: List all authors who contributed to the work discussed in the abstract. The presenting author must be listed in the first author slot of the list. Be prepared to submit contact information as well as conflict of interest information for each author listed. Abstract: Enter the body of the abstract and attach any applicable graphic files or tables here. Do not re-enter the title, author, support, or other information that is collected in other steps of the submission form. Presentation Preference: Authors may select from three presentation formats when submitting an abstract: "poster only", "talk preferred" or "no preference." The "talk preferred" selection indicates that you would like to give a talk, but will accept a poster format if necessary. Marking "poster only" indicates that you would not like to be considered for an oral-presentation session. Selecting "no preference" indicates the author's willingness to be placed in the best format for the program. Each paper or abstract requires one sponsoring attendee (i.e. someone who registered and is attending the conference). A single attendee can not sponsor more than two abstracts or papers. Oral presentations will be selected from both full length papers and abstracts. *** Publication *** The organizers of approved workshops/ special sessions are required to announce the call for papers, assign papers to PC members for reviewing and decide upon the final program. Accepted full papers will be included in the BI'17 conference proceedings to be published by Springer as a volume of the LNCS/LNAI series. The organizers are also welcome to prepare a book proposal based on the topics of the workshop/special session for possible book publication in the Springer Brain Informatics & Health book series (http://www.springer.com/series/15148). *** Post-Conference Journal Publication *** High quality papers from workshops/special sessions will be selected and considered for publication in special issues of international journals after their papers are extended to a journal-length paper and pass a review process. Tutorial organizers are invited to submit survey papers to the BI journal, and they will be published in the journal after a rigorous review process. ORGANIZERS ========== General Chairs Bo Xu (Chinese Academy of Sciences, China) Hanchuan Peng (Allen Institute for Brain Sciences, USA) Qingming Luo (Huazhong University of Science and Technology, China) Program Committee Chairs Yi Zeng (Chinese Academy of Sciences, China) Yong He (Beijing Normal University, China) Jeanette Kotaleski (Karolinska Institute, Sweden) Maryann Martone (University of California, San Diego, USA) Organizing Chairs Ning Zhong (Maebashi Institute of Technology, Japan, and Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China Jianzhou Yan (Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Shengfu Lu (Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Workshop/Special-Session Chairs An'an Li (Huazhong University of Science and Technology, China) Sen Song (Tsinghua University, China) Tutorial Chair Wenming Zheng (South East University, China) Publicity Chairs Tielin Zhang (Chinese Academy of Sciences, China) Shouyi Wang (University of Texas at Arlington, USA) Yang Yang (Maebashi Institute of Technology, Japan, and Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Steering Committee Chairs Ning Zhong (Maebashi Institute of Technology, Japan) Hanchuan Peng (Allen Institute for Brain Science, USA) *** Contact Information *** tielin.zhang at ia.ac.cn shouyiw at uta.edu yang at maebashi-it.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From irene.yujnovsky at univ-amu.fr Thu Apr 13 07:42:23 2017 From: irene.yujnovsky at univ-amu.fr (Irene Yujnovsky) Date: Thu, 13 Apr 2017 13:42:23 +0200 Subject: Connectionists: Job Opportunity | Research Engineer/Post-doc in Computational Neuroscience In-Reply-To: References: Message-ID: Please find below ajob opportunity for an engineer/post-doc thatis open in the Jirsa group at the INS, Marseille, France. Please feel free to distribute it. Thanks, Irene Yujnovsky Job Opportunity | Research Engineer/Post-doc in Computational Neuroscience An engineer/post-doctoral position is open in the Theoretical Neuroscience Group (TNG) directed by Viktor JIRSA at the Institute de Neurosciences des Syst?mes (INS) in Marseille, for an experienced computational neuroscientist to work in modeling brain networks with the aim of creating individual Virtual Patient epilepsy models using The Virtual Brain platform as framework (seehttp://www.thevirtualbrain.org ). *Qualification* Candidates must be highly motivated to work on an interdisciplinary project and collaborate with the various members of the group and with clinicians. They should have a degree in computational neuroscience, engineering or equivalent level of knowledge. A strong background in computational neuroscience (networks, modeling, dynamic system theory) and/or data fit ting (Bayesian approaches, Dynamical Causal Modeling (DCM), Monte Carlo techniques) will be highly appreciated. Candidates must be comfortable working in computational environments and possess excellent programming skills. Experience using The Virtual Brain platform and development of software or clinical databases would be considered an advantage. *The Theoretical Neuroscience group* We are a multi-national team interested in understanding the mechanisms underlying the spatiotemporal organization of large-scale brain networks. Our work comprises mathematical and computational modeling of large-scale network dynamics and human brain imaging data, the development of neuroinformatics tools for studying large-scale brain networks applied to concrete functions, dysfunctions (epilepsy, dementia) and aging. *Terms of salary and employment* A 12-month renewable contract will be established. Salary will depend on the diploma and experience. Operating language in the laboratory is English. Applications including a cover letter, curriculum vitae and the names of two referees should be sent by April 30th 2017 to: Dr. Irene Yujnovsky irene.yujnovsky at univ-amu.fr More information about the INS and the Theoretical Neurosciences Group can befoundHERE . -- --------------------------------------------------- Irene Yujnovsky, PhD Chef de projet EPINEXT Institut de Neurosciences des Syst?mes Inserm UMR1106 Universit? Aix-Marseille Facult? de M?decine, 27, Boulevard Jean Moulin 13005 Marseille, France Phone: +33 (0)491324239 email:irene.yujnovsky at univ-amu.fr Website:http://epinext.org/ -------------- next part -------------- An HTML attachment was scrubbed... URL: From hava.siegelmann at gmail.com Fri Apr 14 17:41:23 2017 From: hava.siegelmann at gmail.com (Hava Siegelmann) Date: Fri, 14 Apr 2017 17:41:23 -0400 Subject: Connectionists: Lifelong Learning Machines - Call for Grants Message-ID: Dear Friends Lifelong Learning Machines (L2M) call for proposals (or in DARPA lingo BAA (Broad agency announcement)) is not available online from the DARPA portal Note that there is also a link for teaming to enable create small groups is you are looking for collaborators. Note that DARPA programs are once in a lifetime rather than NSF/NIH with repeating ideas. So start reading and prepare your applications on time. All the best and much luck - Hava Siegelmann -------------- next part -------------- An HTML attachment was scrubbed... URL: From sophon at sugano.mech.waseda.ac.jp Fri Apr 14 03:06:37 2017 From: sophon at sugano.mech.waseda.ac.jp (Sophon SOMLOR) Date: Fri, 14 Apr 2017 16:06:37 +0900 Subject: Connectionists: [meetings] Friendly Reminder: Call for Contributions: ICRA'17 Full-Day Workshop on The Robotic Sense of Touch: From Sensing to Understanding Message-ID: --------------------------------------------- Dear Colleagues, We are calling for contributions on our ICRA 2017 workshop on "The Robotic Sense of Touch: From Sensing to Understanding" This workshop aims to bring together experts in the fields of tactile sensor design, tactile data analysis, machine learning and cognitive modeling to share their knowledge, through a mix of oral presentations, round-table discussions, poster sessions and live demonstrations. ***Call for contributions*** We are soliciting the submission of extended abstracts **(1-3 pages PDF, IEEE template, optional videos)* to *rsot.icra2017 at gmail.com* *. **The submission deadline is 20 April 2017**. Furthermore, we particularly call for live demonstrations to be presented on the workshop day. We encourage researchers as well as companies (both hardware and software companies) to contribute to the workshop. Accepted submissions will be presented during the ?Demonstrations and poster session? of the workshop. Selected submissions will be given time for oral presentations (15 minutes including Q&A). Please indicate in your email if you want to present as a poster, oral, and/or live demonstration. ****Important Dates****: Paper submission deadline: 20 April 2017 Notification of acceptance: 25 April 2017 Workshop day: 29 May 2017 Abstract: This workshop (https://roboticsenseoftouchws.wordpress.com) focuses on the development of novel tactile sensors (i.e. the bodyware) and how they can contribute to robot intelligence (i.e. the mindware). Robots need touch to interact with the surroundings (humans and/or objects) safely and effectively, to learn about the outside world and to develop self-awareness. To achieve these goals, the artificial skin of the next generation should measure temperature, vibration, proximity and the complete force vectors on multiple contact points; also, it should be both soft and robust to facilitate long-term interactions. Still, major challenges are posed by the need to analyze and interpret massive amounts of data in a fast and accurate way, and to combine such sensing information with other cognitive and perceptual processes to achieve real understanding. While advanced computational techniques (e.g. deep learning, Bayesian inference) can critically improve data representations, bio-inspired strategies for multimodal integration, prediction and reasoning seem to be necessary as well to revolutionize the robotic sense of touch. Therefore, the goal of this workshop is to discuss if and how the recent advancements in tactile technology and data analysis have been accompanied by an increased understanding of the ways in which tactile perception can support robot autonomy and cognition. Content: Part of human intelligence comes from using the sense of touch to explore the own-body and learn about the world. Similarly, a humanoid robot can use tactile sensing to learn about itself and its surroundings, and to improve its ability in interacting with humans and objects. Indeed, there has been a remarkable progress in tactile sensors for robotics. Several robotic platforms and hands are equipped with sensors which allow measuring pressure, proximity and temperature; also, novel technologies (soft, small, distributed, stretchable sensors) can be used to cover the entire body of a humanoid. These sensors can allow robots to actively explore objects and extract information which is hidden or difficult to extract from vision, like texture, material and weight; however, this requires the development of appropriate learning strategies which incorporate explorative behaviors, signal processing and machine learning. Topics of interest include, but are not limited to: - Multimodal distributed skin sensors; - Modular skin sensors; - Force sensing; - Soft/flexible/stretchable sensors; - Large-scale data processing of tactile information; - Use of tactile data for interaction control, tactile servoing, tactile feature recognition, object handling; - Integration of touch with other sensing modalities (e.g. vision, inertial sensing); - Whole-body multiple contact behaviors of humanoid robots; - Predictive models for touch perception; - Slip prediction, detection and control; - Tactile sensing for self-contact, self-perception and self-calibration in humanoid robots; - Haptic representations of objects and their affordances. Organizers: Sophon Somlor (contact person), Waseda University Alexander Schmitz, Waseda University Lorenzo Jamone, The Queen Mary University of London Lorenzo Natale, Istituto Italiano di Tecnologia Gordon Cheng, Technical University of Munich ***URL*** https://roboticsenseoftouchws.wordpress.com/ ================================================ Dr. Sophon Somlor Junior Researcher Top Global University Project Unit for Frontier of Embodiment Informatics?ICT and Robotics Faculty of Science and Engineering Waseda University ????? ????? ??????????????? ICT????????? ????? ???? ???? ================================================ -------------- next part -------------- An HTML attachment was scrubbed... URL: From amir.aly at em.ci.ritsumei.ac.jp Wed Apr 12 22:45:09 2017 From: amir.aly at em.ci.ritsumei.ac.jp (Amir Aly) Date: Thu, 13 Apr 2017 11:45:09 +0900 Subject: Connectionists: 4 Available PhD Positions in Artificial Intelligence and Neuro/Cognitive Robotics, Ritsumeikan University, Japan Message-ID: **Apologies for Cross Posting ** *4 Available PhD Positions in Artificial Intelligence and Neuro/Cognitive Robotics at the Emergent Systems Laboratory, Ritsumeikan University, Japan* The Emergent Systems Laboratory [Link ] at Ritsumeikan University in Japan (nearby Kyoto) announces 4 available PhD positions in artificial intelligence and neuro/cognitive robotics for the new projects: *R-GIRO* ?AI and Semiotics? and* KAKEN* ?AI and Brain?. *1-* *R-GIRO *?AI and Semiotics?: (3 Positions) *"**The Next-generation of Artificial Intelligence and Semiotics**"* The successful PhD candidates will be involved in a research about: *Developing AI technologies for enhancing everyday human-robot collaboration*, under the supervision of Tadahiro Taniguchi (Project Coordinator) [Link ]. *** Further details about the available positions and admission procedures are available on: * R-GIRO Project "AI and Semiotics" * *2-* *KAKEN* ?AI and Brain?: (1 Position) *"**Correspondence and Fusion of Artificial Intelligence and Brain Science* *"* The successful PhD candidate will be involved in a research about: *Understanding Neural Computation for Double Articulation Analysis Bridging Sensory-motor Information and Natural Language in Human Brain*, under the supervision of Tadahiro Taniguchi [Link ]. *** Further details about the available position and admission procedures are available on: * KAKEN Project "AI and Brain" * *I. Candidate Profile* - Good mathematical background. - English communication skills for daily discussion and writing papers: IELTS 6 (TOEIC 740). - Programming skills in C++, Python, Matlab for machine learning and intelligent robots. Knowledge about the related frameworks or libraries (e.g., tensorflow, scikit-learn, ROS, etc.) will be highly appreciated. - Applicants are expected to be interested in natural language, language acquisition, and the human neural system for cognition and social behavior [for the KAKEN Project] (preferably with an academic background). *II. Application* Please send your application to (adm at em.ci.ritsumei.ac.jp) no later than *10 May** 2017*, including (refer to the project applied for clearly at the top of the email): - Curriculum vitae. - List of publications. - Copies of major publications (Maximum 3). - Outline of past research (free format). - Motivation letter (free format). - Outline of prospective research (free format). - 2 Reference letters. Ritsumeikan University is a fast growing international research environment with interdisciplinary research areas, and is the biggest private university in the west of Japan. The College of Information Science and Engineering is the biggest college in the field of Information Science in Japan, and the Graduate School is receiving a large number of KAKENHI Japanese governmental research grants. *III. Related Papers* [1] Tadahiro Taniguchi, Takayuki Nagai, Tomoaki Nakamura, Naoto Iwahashi, Tetsuya Ogata, and Hideki Asoh, Symbol Emergence in Robotics: A Survey, Advanced Robotics, Vol.30, (11-12) pp. 706-728 .(2016) DOI:10.1080/01691864.2016.1164622 [2 Tadahiro Taniguchi, Ryo Nakashima, Hailong Liu and Shogo Nagasaka, Double Articulation Analyzer with Deep Sparse Autoencoder for Unsupervised Word Discovery from Speech Signals, Advanced Robotics, Vol.30 (), (11-12) pp. 770-783 .(2016) DOI:10.1080/01691864.2016.1159981 [3] Tadahiro Taniguchi, Shogo Nagasaka, Ryo Nakashima, Nonparametric Bayesian Double Articulation Analyzer for Direct Language Acquisition from Continuous Speech Signals, IEEE Transactions on Cognitive and Developmental Systems, Vol. PP (99) .(2016) DOI: 10.1109/TCDS.2016.2550591 -- Amir Aly, Ph.D. Postdoctoral Research Associate Ritsumeikan University Emergent Systems Laboratory College of Information Science and Engineering 1-1-1 Noji Higashi, Kusatsu, Shiga 525-8577 Japan -------------- next part -------------- An HTML attachment was scrubbed... URL: From shyam at amrita.edu Thu Apr 13 08:46:36 2017 From: shyam at amrita.edu (Dr. Shyam Diwakar) Date: Thu, 13 Apr 2017 18:16:36 +0530 (IST) Subject: Connectionists: CFP: ICACCI conference workshop on computational neuroscience Message-ID: <1812153324.42380552.1492087596988.JavaMail.zimbra@amrita.edu> Dear Colleagues, Apologies for cross-posting. I would like to invite you to participate at the Workshop on Bioinspired modeling and Computational Neuroscience - From neurons, circuits to models and devices ( BioCompNeuro'17 ) to be held at Manipal, India 13-16 September, 2017. The workshop is co-affiliated with Sixth International Conference on Advances in Computing, Communications and Informatics ( ICACCI-2017 ). Please see: http://icacci-conference.org/2017/biocompneuro Prospective authors are invited to submit their manuscripts reporting original work. Further guidelines for submission are posted at http://icacci-conference.org/2017/content/paper-submission-guidelines Key Dates Papers Due: May 30, 2017 Acceptance Notification: June 30, 2017 Final Paper Deadline: July 31, 2017 Accepted and presented papers will be published in the conference proceedings and submitted to IEEE Xplore as well as other Abstracting and Indexing (A&I) databases. Shyam -- Shyam Diwakar, Ph.D. Sir Visvesvaraya Faculty Fellow - MeitY, Govt of India Associate Professor and Lab Director- Computational Neuroscience Lab, Amrita School of Biotechnology Faculty Fellow - Amrita Center for International Programs Amrita Vishwa Vidyapeetham (Amrita University) Amritapuri, Clappana P.O. Kollam, India. Pin: 690525 Ph:+91-476-2803116 Fax:+91-476-2899722 http://www.amrita.edu/compneuro Disclaimer : The information transmitted in this email, including attachments, is intended only for the person(s) or entity to which it is addressed and may contain confidential and/or privileged material. Any review, retransmission, dissemination or other use of, or taking of any action in reliance upon this information by persons or entities other than the intended recipient is prohibited. Any views expressed in any message are those of the individual sender and may not necessarily reflect the views of Amrita University. If you received this in error, please contact the sender and destroy any copies of this information. -------------- next part -------------- An HTML attachment was scrubbed... URL: From cl at cmu.edu Fri Apr 14 11:31:10 2017 From: cl at cmu.edu (Christian Lebiere) Date: Fri, 14 Apr 2017 11:31:10 -0400 Subject: Connectionists: Postdoctoral Positions Message-ID: The ACT-R group at Carnegie Mellon University (http://act-r.psy.cmu.edu/) is looking for postdoctoral researchers for a number of positions. Candidates with a Ph.D. in cognitive psychology, cognitive neuroscience, computer science, machine learning or artificial intelligence and an interest in computational cognitive modeling are encouraged to apply. The first positions involve designing neural imaging (EEG) experiments and developing computational (ACT-R) cognitive models of complex skills in dynamic interactive environments to study the effect on performance of workload, strategies and expertise, and inform system design by predicting experimental conditions that would give rise to performance difficulties. The other positions involve developing computational cognitive models of complex skills in dynamic interactive environments and integrating them with deep learning models and explanation systems. The purpose of the project is to provide insights into the processes and representations of the deep learning models to improve trust and interaction with human experts (Explainable AI). Interested candidates should send inquiries and applications (CV, research interests, references) to John Anderson (ja at cmu.edu) and Christian Lebiere ( cl at cmu.edu). -------------- next part -------------- An HTML attachment was scrubbed... URL: From siddharth at iffsid.com Sun Apr 16 12:07:41 2017 From: siddharth at iffsid.com (Siddharth N) Date: Sun, 16 Apr 2017 17:07:41 +0100 Subject: Connectionists: CFP: CVPR Workshop on Language and Vision Message-ID: <871sssxrn6.fsf@marina.robots.ox.ac.uk> Second Workshop on Language and Vision @CVPR17 ---------------------------------------------- http://languageandvision.com/ July 21, 2017 @ Honolulu, HI in conjunction with CVPR 2017 CALL FOR PAPERS: We are calling for 1-4 page extended abstracts to be showcased at a poster session along with talk spotlights. Submission deadline: May 31st 2017 in the timezone of your choice The interaction between language and vision, despite seeing traction as of late, is still largely unexplored. This is a particularly relevant topic to the vision community because humans routinely perform tasks which involve both modalities. We do so largely without even noticing. Every time you ask for an object, ask someone to imagine a scene, or describe what you're seeing, you're performing a task which bridges a linguistic and a visual representation. The importance of vision-language interaction can also be seen by the numerous approaches that often cross domains, such as the popularity of image grammars. More concretely, we've recently seen a renewed interest in one-shot learning for object and event models. Humans go further than this using our linguistic abilities; we perform zero-shot learning without seeing a single example. You can recognize a picture of a zebra after hearing the description "horse-like animal with black and white stripes" without ever having seen one. Furthermore, integrating language with vision brings with it the possibility of expanding the horizons and tasks of the vision community. We have seen significant growth in image and video-to-text tasks but many other potential applications of such integration ? answering questions, dialog systems, and grounded language acquisition ? remain largely unexplored. Going beyond such novel tasks, language can make a deeper contribution to vision: it provides a prism through which to understand the world. A major difference between human and machine vision is that humans form a coherent and global understanding of a scene. This process is facilitated by our ability to affect our perception with high-level knowledge which provides resilience in the face of errors from low-level perception. It also provides a framework through which one can learn about the world: language can be used to describe many phenomena succinctly thereby helping filter out irrelevant details. Topics covered (non-exhaustive): language as a mechanism to structure and reason about visual perception, language as a learning bias to aid vision in both machines and humans, novel tasks which combine language and vision, dialogue as means of sharing knowledge about visual perception, stories as means of abstraction, transfer learning across language and vision, understanding the relationship between language and vision in humans, reasoning visually about language problems, visual captioning, dialogue, and question-answering, visual synthesis from language, sequence learning towards bridging vision and language, joint video and language alignment and parsing, and video sentiment analysis. The workshop will also include presentations related to the MSR Video to Language Challenge, including data collection, benchmarking, and performance evaluations. http://ms-multimedia-challenge.com/ This challenge aims to foster the development of new techniques for video understanding, in particular video captioning, with the goal of automatically generating a complete, natural, and salient sentence describing a video. We are calling for 1 to 4 page extended abstracts to be showcased at a poster session along with short talk spotlights. Abstracts are not archival and will not be included in the Proceedings of CVPR 2017. In the interests of fostering a freer exchange of ideas we welcome both novel and previously-published work. We are also accepting full submissions which will not be included in the Proceedings of CVPR 2017 but we will at the option of the authors provide a link to the relevant arXiv submission. Organized by: Andrei Barbu, MIT Tao Mei, Microsoft Research, China Siddharth Narayanaswamy, University of Oxford Puneet Kumar Dokania, University of Oxford Quanshi Zhang, UCLA Nishant Shukla, UCLA Jiebo Luo, University of Rochester Rahul Sukthankar, Google Research and CMU From pstone at cs.utexas.edu Sat Apr 15 22:05:16 2017 From: pstone at cs.utexas.edu (Peter Stone) Date: Sat, 15 Apr 2017 21:05:16 -0500 Subject: Connectionists: Postdoc opportunity - UT Austin Message-ID: <51360.1492308316@skipper.cs.utexas.edu> [Apologies if you receive this multiple times] DEPARTMENT OF COMPUTER SCIENCE, THE UNIVERSITY OF TEXAS AT AUSTIN, USA POSITION: Post-doctoral fellow on "Grounded Language Learning on Robots" CONTACTS: Profs. Raymond Mooney and Peter Stone The University of Texas at Austin 2317 Speedway, Stop D9500 Austin, TX 78712-1757 USA Austin, Texas 78712-0233 U.S.A. {mooney,pstone}@cs.utexas.edu http://www.cs.utexas.edu/~{mooney,pstone} Applications are invited for a postdoctoral fellow of up to two years, possibly renewable for additional years, in the Department of Computer Science. The position will be joint across Prof. Mooney's Machine Learning Research Group and Prof. Stone's Learning Agents Research Group within the Artificial Intelligence Laboratory. Primary responsibilities include performing cutting-edge research in collaboration with faculty and Ph.D. students. The research will focus on developing robust, adaptive, interactive intelligent robots in an indoor environment that are capable of natural language interaction. Specifically, the goal is to develop human-robot dialog systems that learn to communicate with users through natural dialog, learning from repeated user interactions to become more robust and capable through normal use. QUALIFICATIONS: Applicants should have a Ph.D. in Computer Science or related field. Experience in intelligent robotics and/or natural language processing is essential. Experience in grounded natural language, machine learning, and/or human-robot interaction is preferable, as is experience programming in ROS. TO APPLY: Applicants should send by email to mooney at cs.utexas.edu and pstone at cs.utexas.edu - a curriculum vitae - names of two references with contact information - a two-page summary of past research and relevant qualifications - a personal Web page, if available, where further details can be found This position is to start in the fall of 2017 or at any agreed later date. Applications will be reviewed as they are received. ___ Professor Peter Stone David Bruton, Jr. Centennial Professor University Distinguished Teaching Professor Associate Chair Department of Computer Science phone: 512-471-9796 The University of Texas at Austin fax: 512-471-8885 2317 Speedway, Stop D9500 pstone at cs.utexas.edu Austin, Texas 78712-1757 USA http://www.cs.utexas.edu/~pstone From longlifelee at gmail.com Sun Apr 16 10:38:50 2017 From: longlifelee at gmail.com (Soo-Young Lee) Date: Sun, 16 Apr 2017 23:38:50 +0900 Subject: Connectionists: Research Staff and PostDoc : Deep Learning for Speech Recognition, Enhancement, Synthesis, and Dialogue Message-ID: We are seeking a strong and motivated candidate for positions of PostDoc and Research Fellow in the area of Deep Learning theory and applications. Especially, we are looking for energetic people for speech recogntion and synthesis, language understanding and emotional dialogues. Candidate are expected to have PhD or Master degree in Electrical Engineering, Computer Sciences, or related fields. Please send your CV to bsrc at neuron.kaist.ac.kr and sylee at kaist.ac.kr with "[Research Positions]" at the "RE" lie. Soo-Young Lee Professor of EE, Director of Center for AI Research, Director of Brain Science Research Center -------------- next part -------------- An HTML attachment was scrubbed... URL: From tarek.besold at googlemail.com Sun Apr 16 08:34:35 2017 From: tarek.besold at googlemail.com (Tarek R. Besold) Date: Sun, 16 Apr 2017 14:34:35 +0200 Subject: Connectionists: 2nd CfP: Neural-Symbolic Learning and Reasoning Workshop (NeSy) 2017 -- July 17&18, 2017 -- City, University of London (UK) Message-ID: <007d01d2b6ad$cefa6700$6cef3500$@gmail.com> === NeSy'17: 12th International Workshop on Neural-Symbolic Learning and Reasoning === Date: July 17 & 18, 2017. Venue: City, University of London, UK. = WEBSITE = http://www.neural-symbolic.org/NeSy17/ = KEYNOTE SPEAKERS = Mauro Ferreira, Trinity College Dublin. Zoubin Ghahramani, University of Cambridge & Uber AI Labs. Alex Graves, Google DeepMind. Pascal Hitzler, Wrights State University. Murray Shanahan, Imperial College London. = INDUSTRY TRACK ADDED = For the first time, the 2017 edition of NeSy will feature an industry track on the second day of the workshop, July 18, 2017. The track will cover industry applications of neural-symbolic methods (including knowledge extraction from statistical data, neural-symbolic methods integrating data and knowledge for the semantic web, etc.), with the program featuring contributions from industry and academia alike. Also, there will be time to mix and mingle, exchange experiences from practitioners on both sides, and develop joint ideas and projects for the future. = REGISTRATION = The registration for NeSy'17 has become available from the City, University of London eStore: http://estore.city.ac.uk/product-catalogue/conference-events/school-specific -events/12th-international-workshop-on-neuralsymbolic-learning-and-reasoning -nesy17 = CALL FOR PAPERS = Artificial Intelligence researchers continue to face huge challenges in their quest to develop truly intelligent systems. The recent developments in the field of neural-symbolic integration bring an opportunity to integrate well-founded symbolic artificial intelligence with robust neural computing machinery to help tackle some of these challenges. The Workshop on Neural-Symbolic Learning and Reasoning is intended to create an atmosphere of exchange of ideas, providing a forum for the presentation and discussion of the key topics related to neural-symbolic integration. Topics of interest include but are not limited to: - The representation of symbolic knowledge by connectionist systems; - Neural Learning theory; - Integration of logic and probabilities, e.g., in neural networks, but also more generally; - Structured learning and relational learning in neural networks; - Logical reasoning carried out by neural networks; - Integrated neural-symbolic approaches; - Extraction of symbolic knowledge from trained neural networks; - Integrated neural-symbolic reasoning; - Neural-symbolic cognitive models; - Biologically-inspired neural-symbolic integration; - Applications in robotics, simulation, fraud prevention, natural language processing, semantic web, software engineering, fault diagnosis, bioinformatics, visual intelligence, etc. ** Submission ** Researchers and practitioners are invited to submit original papers that have not been submitted for review or published elsewhere: - Submitted papers must be written in English, must be formatted according to the Springer LNCS style (templates and sample files are available from https://www.springer.com/gp/computer-science/lncs/conference-proceedings-gui delines), and should not exceed 10 pages (excluding references/bibliography) in the case of research and experience papers, and 6 pages (excluding references/bibliography) in the case of position papers or technical notes. - All submitted papers will be judged based on their relevance, originality, significance, technical quality, and organisation. - Papers must be submitted through EasyChair at https://easychair.org/conferences/?conf=nesy17. - Additionally, presentations based on extended abstracts will be considered. These shall allow to report on latest results which had not been available at the time of paper submission. Therefore, the abstract deadline is significantly closer to the workshop date. Extended abstracts may not exceed 3 pages (including references/bibliography) and should aim to give a good impression of the type of work conducted, the achieved results and their importance for the field. ** Presentation ** Selected papers will be presented during the workshop. The workshop will include extra time for discussion of the presentations allowing the group to have a better understanding of the issues, challenges, and ideas being presented. ** Publication ** Accepted papers will be published in official workshop proceedings within the CEUR-WS.org series. Accepted abstracts will also be included in the official workshop proceedings. = IMPORTANT DATES = Deadline for paper submission: May 7, 2017 Notification of paper acceptance/rejection: June 4, 2017 Deadline for abstract submission: June 18, 2017 Notification of abstract acceptance/rejection: June 25, 2017 Camera-ready paper due: July 2, 2017 Workshop date: July 17-18, 2017 = WORKSHOP ORGANISERS = General Chairs: - Tarek R. Besold (University of Bremen, Germany) - Artur d'Avila Garcez (City, University of London, UK) - Isaac Noble (Playground Global, U.S.A.) Local Chair at City, University of London: Simon Odense = PROGRAMME COMMITTEE = - Raquel Alhama, University of Amsterdam - James Davidson, Google Brain - Richard Evans, Google DeepMind - Barbara Hammer, Bielefeld University - Thomas Icard, Stanford University - Kai-Uwe Kuehnberger, University of Osnabrueck - Luis Lamb, Universidade Federal do Rio Grande do Sul - Thomas Lukasiewicz, University of Oxford - Edjard Mota, Federal University of Amazonas - Terrence C. Stewart, University of Waterloo - Serge Thill, University of Skoevde - Son Tran, CSIRO Australia - Stefan Wermter, University of Hamburg -------------- next part -------------- An HTML attachment was scrubbed... URL: From weng at cse.msu.edu Sun Apr 16 11:38:57 2017 From: weng at cse.msu.edu (Juyang Weng) Date: Sun, 16 Apr 2017 11:38:57 -0400 Subject: Connectionists: BMI Summer School and AIML Contest 2017: First Place award: $10, 000 Message-ID: <1d8cf25c-b776-6524-2fc5-f25692b24c25@cse.msu.edu> We welcome you to participate in the AIML Contest 2017! First place award: $10,000. Please encourage your students, classmates and labmates to participate in the BMI 2017 Program and AIML Contest 2017! GENISAMA LLC is looking for talents!http://genisama.com/ Those who are working in my research group and GENISAMA are not eligible to participate in the Contest. The deadline for BMI admission (only needed for those who have not been admitted to BMI yet) has been extended to the following Monday! Important dates: - Monday March 27, 2017: deadline for recommendation of contest learning engines (deadline can be extended. Ask weng at msu.edu) - Monday April 10, 2017 (extended to April 17): deadline for application for BMI admission and application for BMI tuition waiver. New BMI students must get admitted first. Send your CV, Transcripts, and Statement of Purpose (< 500 words) to weng at cse.msu.edu. If your application has been received, you should receive confirmation. - Monday April 24, 2017: deadline for advance registration of BMI courses and AIML Contest entries - Tuesday May 16, 2917: AIML Contest Panel during IJCNN 2017: 2016 awards, 1st place: $10,000, presentations, and Contest 2017 kick-off - May 29 - June 16, 2017 (three weeks): distance learning course BMI 831 Cognitive Science - June 19 - July 7, 2017 (three weeks): distance learning course BMI 861 Brain Automata - July 10 - July 28, 2017 (three weeks): distance learning course BMI 871 Computational Brain-Mind - July 31 - Aug. 11, 2017: Contest workshops: Hands on contest engines (free for one person of each AIML Contest entry) - Dec. 4, 2017: results from contest entries due by noon - Date to be determined, 2018: AIML Contest 2017 announcements, awards, and contest presentations. First place: $10,000. Please ask me if you have questions. -John Weng -- -- Juyang (John) Weng ------------------- Work --------------------- ---- Technology Transfer ---- Professor Founder Department of Computer Science and Engineering GENISAMA LLC MSU Cognitive Science Program Okemos, MI 48864 USA and MSU Neuroscience Program Tel: 517-980-6270 428 S Shaw Ln Rm 3115 Web: genisama.com Michigan State University --------- Outreach ---------- East Lansing, MI 48824 USA Founder Tel: 517-353-4388 Brain-Mind Institute Fax: 517-432-1061 Web: brain-mind-institute.org Email: weng at cse.msu.edu Brain-Mind Magazine Web: http://www.cse.msu.edu/~weng/ Web: brain-mind-magazine.org ---------------------------------------------- ----------------------------- From hava.siegelmann at gmail.com Sun Apr 16 12:57:19 2017 From: hava.siegelmann at gmail.com (Hava Siegelmann) Date: Sun, 16 Apr 2017 12:57:19 -0400 Subject: Connectionists: Lifelong Learning Machines - Call for Grants In-Reply-To: References: Message-ID: Dear Connectionists, it was a typo, Lifelong Learning Machine is NOW AVAILABLE - please read, get together and apply. We have the chance to start a new chapter of AI. Hava On Fri, Apr 14, 2017 at 5:41 PM, Hava Siegelmann wrote: > Dear Friends > > Lifelong Learning Machines (L2M) call for proposals (or in DARPA lingo > BAA (Broad agency announcement)) is not available online from the DARPA > portal > > Note that there is also a link for teaming to enable create small groups > is you are looking for collaborators. > > Note that DARPA programs are once in a lifetime rather than NSF/NIH with > repeating ideas. So start reading and prepare your applications on time. > > > All the best and much luck - > > Hava Siegelmann > > > -------------- next part -------------- An HTML attachment was scrubbed... URL: From danny.silver at acadiau.ca Mon Apr 17 10:51:14 2017 From: danny.silver at acadiau.ca (Danny Silver) Date: Mon, 17 Apr 2017 14:51:14 +0000 Subject: Connectionists: Lifelong Machine Learning please Message-ID: Dear Hava and others ? What is in a name? Lifelong Learning Machines <= Lifelong Machine Learning <= Machine Lifelong Learning <= Learning to Learn All of the above are concerned with the persistent and cumulative nature of learning with machines. They are based on the hypothesis that more efficient (shorter training times, fewer training examples) and more effective (more accurate hypotheses) learning relies on an appropriate inductive bias, one source being prior knowledge from related tasks (or examples from the same task domain). They should also be concerned with the consolidation of knowledge acquired through learning to support inductive bias, which forces one to look at the representation of learned knowledge. I have been studying Lifelong Machine Learning since 1993. The field has gone from having no name to several vintages. This is an appeal for the community to stay with the title ?Lifelong Machine Learning? unless there is some need to distinquish ?Lifelong Learning Machines? as a separate discipline. In 1995, Rich Caruana and I organized the first NIPS workshop on ?Learning to Learn: Knowledge Consolidation and Transfer in Inductive Systems". See http://plato.acadiau.ca/courses/comp/dsilver/NIPS95_LTL/transfer.workshop.1995.html This workshop produced a seminal book by Sebastian Thrun that solidified the title ?Learning to Learn? or L2L. See http://robots.stanford.edu/papers/thrun.book3.html Over the next decade myself and several others started to use the term ?Machine Lifelong Learning? or ML3. Our lab created a ML3 contributor website that has fallen behind over the years (http://ml3.acadiau.ca/) being replaced by material on our current lab website http://mlrl.acadiau.ca/ and by ResearchGate websites such as - https://www.researchgate.net/profile/Daniel_Silver The L2L and ML3 titles lasted well into the first decade of the 2000s and was used at the second NIPS workshop on the subject ?Inductive Transfer : 10 Years Later?. See http://socrates.acadiau.ca/courses/comp/dsilver/Share/2005Conf/NIPS2005_ITWS/Website/index.htm Along the way Mark Ring has distinquished ?Continual Learning? in the Reinforcement Learning paradigm as a process of learning ever more complicated skills by building on those skills already developed. See https://www.cs.utexas.edu/~ring/Diss/index.html and his new company http://www.cogitai.com/ Around about 2010, Eric Eaton and others started to use the term ?Lifelong Machine Learning? or LML which many people have come to like. Please see Eric?s webpage for some of the work he has been involved in https://www.seas.upenn.edu/~eeaton/research.html So given that we have the well-used term ?Lifelong Machine Learning? and that the name has changed a few times already, I really do not cherish the community moving toward yet another permutation of the three words ?Lifelong?, ?Machine?, and ?Leaning?, unless it is really a different research area ? In which case, I would ask that we use a significantly different monicker. I make my case for sticking with the title ?Lifelong Machine Learning? with the list of its uses shown below my signature. Note that a new research theme is starting to be used that brings together machine learning and knowledge representation to solve one of the Big AI problems. The problem is how to the learn background knowledge so it can be used for reason and the new title is ?Lifelong Machine Learning and Reasoning?. Recently, I created a ResearchGate project which is gaining followers https://www.researchgate.net/project/Lifelong-Machine-Learning-and-Reasoning .. Danny ========================== Daniel L. Silver Professor and Acting Director, Jodrey School of Computer Science Director, Acadia Institute for Data Analytics Acadia University, Office 314, Carnegie Hall, Wolfville, Nova Scotia Canada B4P 2R6 t. (902) 585-1413 f. (902) 585-1067 acadiau.ca Facebook Twitter YouTube LinkedIn Flickr [cid:image001.png at 01D2B770.E8E99CD0] In recent years, there has come to exist a wide variety of websites that are currently using ?Lifelong Machine Learning? including those related to: Books: https://www.cs.uic.edu/~liub/lifelong-machine-learning.html Papers: Lifelong machine learning: a paradigm for continuous learning http://www.aaai.org/ocs/index.php/SSS/SSS13/paper/viewFile/5802/5977 http://dl.acm.org/citation.cfm?id=2433459 https://pdfs.semanticscholar.org/fb24/b6917eb42ccbf354371ee9565a3014b51e7c.pdf https://cs.byu.edu/colloquium/sentiment-analysis-and-lifelong-machine-learning https://scholar.google.com/citations?user=Z_vWXgsAAAAJ&hl=en Popular Press Articles: https://www.weforum.org/agenda/2017/01/lifelong-machine-learning/ http://www.rollproject.org/lifelong-machine-learning-systems-optimisation/ Videos: https://www.youtube.com/watch?v=wc2xn4g1-uU Courses: https://www.cs.uic.edu/~liub/lifelong-learning.html Tutorials and Workshops: https://www.cs.uic.edu/~liub/IJCAI15-tutorial.html https://www.seas.upenn.edu/~eeaton/AAAI-SSS13-LML/ http://repository.ust.hk/ir/Record/1783.1-73755 https://bigdata.cs.dal.ca/news/2014-06-09-000000/seminar-lifelong-machine-learning-and-reasoning Research Websites: http://mlrl.acadiau.ca/ https://www.cs.uic.edu/~liub/lifelong-learning.html https://www.seas.upenn.edu/~eeaton/research.html https://jaimefernandezdcu.wordpress.com/2016/10/24/lml/ ++++++++ +++++++++ ++++++++++ From: Connectionists on behalf of Hava Siegelmann Date: Sunday, April 16, 2017 at 1:57 PM To: "connectionists at mailman.srv.cs.cmu.edu" Subject: Re: Connectionists: Lifelong Learning Machines - Call for Grants Dear Connectionists, it was a typo, Lifelong Learning Machine is NOW AVAILABLE - please read, get together and apply. We have the chance to start a new chapter of AI. Hava On Fri, Apr 14, 2017 at 5:41 PM, Hava Siegelmann > wrote: Dear Friends Lifelong Learning Machines (L2M) call for proposals (or in DARPA lingo BAA (Broad agency announcement)) is not available online from the DARPA portal Note that there is also a link for teaming to enable create small groups is you are looking for collaborators. Note that DARPA programs are once in a lifetime rather than NSF/NIH with repeating ideas. So start reading and prepare your applications on time. All the best and much luck - Hava Siegelmann -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 7485 bytes Desc: image001.png URL: From danny.silver at acadiau.ca Mon Apr 17 17:08:39 2017 From: danny.silver at acadiau.ca (Danny Silver) Date: Mon, 17 Apr 2017 21:08:39 +0000 Subject: Connectionists: Lifelong Machine Learning please In-Reply-To: References: Message-ID: Thanks Juergen .. There are actually two problems beyond transfer learning that makes LML really interesting. (1) As you have mentioned, there is the issue of how a LML agent improves its search algorithm over time, a meta-level learning problem. Some would say this is resolved simply by selecting the appropriate hyper-bias as per Bayesian inference. Interest in this problem goes back to Rysard Michalksi and work by Tom Michell and others. And there remains great value in its pursuit. (2) And there is the issue of how a LML agent consolidates the knowledge that it has learned over time; either in terms of example after example as in continual learning, or task after task as in learning to learn (from my perspective these are the same problem for an agent in a fixed environment with fixed inputs) The correct solution to the second problem has been examined larger from the perspective of inductive transfer learning; ie. how does one retain prior knowledge in a form than can be used to selectively bias future learning. However, in consideration of an agent that reasons with what it learns, the correct solution to the second problem has significant new possibilities. Most importantly, it would provide at least part of the solution to the background knowledge problem that has plagued AI. Clearly your work on deep learning and that of others will play a key role in this, as it seems to hold the key to the learning of reusable internal representations. A significant challenge here is how to overcome the stability-plasticity problem within these type of networks as the agent encounters new examples from its environment. My sense is that nature figured out a rehearsal mechanism during REM sleep as per James McClelland and Bruce McNaughton - http://cseweb.ucsd.edu/~gary/258/jay.pdf. For a solution we have ben working on see http://dblp.uni-trier.de/rec/html/conf/ai/SilverME15 or https://www.researchgate.net/publication/277871940_Consolidation_using_Sweep_Task_Rehearsal_Overcoming_the_Stability-Plasticity_Problem .. Danny ++++ On 2017-04-17, 4:06 PM, "Juergen Schmidhuber" wrote: Dear all, indeed, what is in a name? Since my favorite topic ?learning to learn? got injected into this thread, I can?t resist the temptation to react. Most chapters in the mentioned book edited by Thrun & Pratt (1997) use ?learning to learn? in the quite limited sense of ?transfer learning? from one data set to the next, e.g., through standard backprop. However, according to my 1987 diploma thesis and numerous follow-up papers (1992, 1993, 1994, 1995, 1996, 1997, 2003, 2004, ...), "learning to learn? or meta-learning in ML is really about inspecting & modifying & learning & improving the learning algorithm itself, where the search space is essentially the set of all possible (learning) algorithms, and where one has to solve the meta-credit assignment problem of recursive self-improvement: which early self-modifications of the lifelong learner?s learning algorithm set the stage for later self-modifications etc ... Overview pages with papers on ?learning to learn? since 1987: http://people.idsia.ch/~juergen/metalearner.html http://people.idsia.ch/~juergen/oops.html http://people.idsia.ch/~juergen/goedelmachine.html Slides from the overview talk at the NIPS 2016 MAIN workshop: http://people.idsia.ch/~juergen/rsi2016white.pdf Cheers, J?rgen J?rgen Schmidhuber Scientific Director, Swiss AI Lab IDSIA Professor of AI, USI & SUPSI, Switzerland President, NNAISENSE http://www.idsia.ch/~juergen/ > On 17 Apr 2017, at 16:51, Danny Silver wrote: > > Dear Hava and others ? > > What is in a name? > Lifelong Learning Machines <= Lifelong Machine Learning <= Machine Lifelong Learning <= Learning to Learn > > All of the above are concerned with the persistent and cumulative nature of learning with machines. They are based on the hypothesis that more efficient (shorter training times, fewer training examples) and more effective (more accurate hypotheses) learning relies on an appropriate inductive bias, one source being prior knowledge from related tasks (or examples from the same task domain). They should also be concerned with the consolidation of knowledge acquired through learning to support inductive bias, which forces one to look at the representation of learned knowledge. > > I have been studying Lifelong Machine Learning since 1993. The field has gone from having no name to several vintages. This is an appeal for the community to stay with the title ?Lifelong Machine Learning? unless there is some need to distinquish ?Lifelong Learning Machines? as a separate discipline. > > In 1995, Rich Caruana and I organized the first NIPS workshop on ?Learning to Learn: Knowledge Consolidation > and Transfer in Inductive Systems". See http://plato.acadiau.ca/courses/comp/dsilver/NIPS95_LTL/transfer.workshop.1995.html > This workshop produced a seminal book by Sebastian Thrun that solidified the title ?Learning to Learn? or L2L. Seehttp://robots.stanford.edu/papers/thrun.book3.html > > Over the next decade myself and several others started to use the term ?Machine Lifelong Learning? or ML3. > Our lab created a ML3 contributor website that has fallen behind over the years (http://ml3.acadiau.ca/) being replaced by material on our current lab website http://mlrl.acadiau.ca/ and by ResearchGate websites such as -https://www.researchgate.net/profile/Daniel_Silver > > The L2L and ML3 titles lasted well into the first decade of the 2000s and was used at the second NIPS workshop on the subject ?Inductive Transfer : 10 Years Later?. Seehttp://socrates.acadiau.ca/courses/comp/dsilver/Share/2005Conf/NIPS2005_ITWS/Website/index.htm > > Along the way Mark Ring has distinquished ?Continual Learning? in the Reinforcement Learning paradigm as a process of learning ever more complicated skills by building on those skills already developed. See > https://www.cs.utexas.edu/~ring/Diss/index.html and his new companyhttp://www.cogitai.com/ > > Around about 2010, Eric Eaton and others started to use the term ?Lifelong Machine Learning? or LML which many people have come to like. Please see Eric?s webpage for some of the work he has been involved inhttps://www.seas.upenn.edu/~eeaton/research.html > > So given that we have the well-used term ?Lifelong Machine Learning? and that the name has changed a few times already, I really do not cherish the community moving toward yet another permutation of the three words ?Lifelong?, ?Machine?, and ?Leaning?, unless it is really a different research area ? In which case, I would ask that we use a significantly different monicker. I make my case for sticking with the title ?Lifelong Machine Learning? with the list of its uses shown below my signature. > > Note that a new research theme is starting to be used that brings together machine learning and knowledge representation to solve one of the Big AI problems. The problem is how to the learn background knowledge so it can be used for reason and the new title is ?Lifelong Machine Learning and Reasoning?. > Recently, I created a ResearchGate project which is gaining followers > https://www.researchgate.net/project/Lifelong-Machine-Learning-and-Reasoning > > .. Danny > > ========================== > Daniel L. Silver > Professor and Acting Director, Jodrey School of Computer Science > Director, Acadia Institute for Data Analytics > Acadia University, > Office 314, Carnegie Hall, > Wolfville, Nova Scotia Canada B4P 2R6 > > t. (902) 585-1413 > f. (902) 585-1067 > > acadiau.ca > Facebook Twitter YouTube LinkedIn Flickr > > > > In recent years, there has come to exist a wide variety of websites that are currently using ?Lifelong Machine Learning? including those related to: > > Books: > https://www.cs.uic.edu/~liub/lifelong-machine-learning.html > > Papers: > Lifelong machine learning: a paradigm for continuous learning > http://www.aaai.org/ocs/index.php/SSS/SSS13/paper/viewFile/5802/5977 > http://dl.acm.org/citation.cfm?id=2433459 > https://pdfs.semanticscholar.org/fb24/b6917eb42ccbf354371ee9565a3014b51e7c.pdf > https://cs.byu.edu/colloquium/sentiment-analysis-and-lifelong-machine-learning > https://scholar.google.com/citations?user=Z_vWXgsAAAAJ&hl=en > > Popular Press Articles: > https://www.weforum.org/agenda/2017/01/lifelong-machine-learning/ > http://www.rollproject.org/lifelong-machine-learning-systems-optimisation/ > > Videos: > https://www.youtube.com/watch?v=wc2xn4g1-uU > > Courses: > https://www.cs.uic.edu/~liub/lifelong-learning.html > > Tutorials and Workshops: > https://www.cs.uic.edu/~liub/IJCAI15-tutorial.html > https://www.seas.upenn.edu/~eeaton/AAAI-SSS13-LML/ > http://repository.ust.hk/ir/Record/1783.1-73755 > https://bigdata.cs.dal.ca/news/2014-06-09-000000/seminar-lifelong-machine-learning-and-reasoning > > Research Websites: > http://mlrl.acadiau.ca/ > https://www.cs.uic.edu/~liub/lifelong-learning.html > https://www.seas.upenn.edu/~eeaton/research.html > https://jaimefernandezdcu.wordpress.com/2016/10/24/lml/ > > ++++++++ +++++++++ ++++++++++ > > From: Connectionists on behalf of Hava Siegelmann > Date: Sunday, April 16, 2017 at 1:57 PM > To: "connectionists at mailman.srv.cs.cmu.edu" > Subject: Re: Connectionists: Lifelong Learning Machines - Call for Grants > > Dear Connectionists, it was a typo, Lifelong Learning Machine is NOW AVAILABLE - please read, get together and apply. > We have the chance to start a new chapter of AI. > > Hava > > > On Fri, Apr 14, 2017 at 5:41 PM, Hava Siegelmann wrote: >> Dear Friends >> >> Lifelong Learning Machines (L2M) call for proposals (or in DARPA lingo BAA (Broad agency announcement)) is not available online from the DARPA portal >> >> Note that there is also a link for teaming to enable create small groups is you are looking for collaborators. >> >> Note that DARPA programs are once in a lifetime rather than NSF/NIH with repeating ideas. So start reading and prepare your applications on time. >> >> >> All the best and much luck - >> >> Hava Siegelmann >> >> > From marc.toussaint at informatik.uni-stuttgart.de Tue Apr 18 02:58:23 2017 From: marc.toussaint at informatik.uni-stuttgart.de (Marc Toussaint) Date: Tue, 18 Apr 2017 08:58:23 +0200 Subject: Connectionists: Summer School on Foundations of Robotics and Autonomous Learning (RALSS'17) Message-ID: <1654a54b-b30b-57a6-a167-d84f50a5ffe8@informatik.uni-stuttgart.de> Dear all, it is my great pleasure to announce the first Summer School on the Foundations of Robotics and Autonomous Learning (RALSS?17), to take place September 4-8, 2017 at TU Berlin. The RALSS Summer School focuses on the foundations and intersections of Robotics, Machine Learning and AI. With this unique focus we aim to cover what is essential for understanding real-world intelligence, which includes understanding the problems specific to our physical world (robotics) as well as the foundations of machine learning and AI. This summer school is organized by the Autonomous Learning Priority Programme (http://autonomous-learning.org), sponsored by the German Research Foundation. International experts will teach the state-of-the-art in robotics and machine learning for robotics. The program will include prep material, foundational courses and focus lectures with exercises. We invite all interested post-graduate students, post-docs and young researchers to apply. Please see http://autonomous-learning.org/ralss-2017/ for further information and how to apply. Organization: Marc Toussaint Host: Oliver Brock @ TU Berlin Administration: Alica Abberger Best, Marc -- Marc Toussaint, Prof. Dr. Uni Stuttgart Universit?tsstra?e 38 70569 Stuttgart, Germany +49 711 685 88376 http://ipvs.informatik.uni-stuttgart.de/mlr/marc/index.html From juergen at idsia.ch Mon Apr 17 15:06:07 2017 From: juergen at idsia.ch (Juergen Schmidhuber) Date: Mon, 17 Apr 2017 21:06:07 +0200 Subject: Connectionists: Lifelong Machine Learning please In-Reply-To: References: Message-ID: Dear all, indeed, what is in a name? Since my favorite topic ?learning to learn? got injected into this thread, I can?t resist the temptation to react. Most chapters in the mentioned book edited by Thrun & Pratt (1997) use ?learning to learn? in the quite limited sense of ?transfer learning? from one data set to the next, e.g., through standard backprop. However, according to my 1987 diploma thesis and numerous follow-up papers (1992, 1993, 1994, 1995, 1996, 1997, 2003, 2004, ...), "learning to learn? or meta-learning in ML is really about inspecting & modifying & learning & improving the learning algorithm itself, where the search space is essentially the set of all possible (learning) algorithms, and where one has to solve the meta-credit assignment problem of recursive self-improvement: which early self-modifications of the lifelong learner?s learning algorithm set the stage for later self-modifications etc ... Overview pages with papers on ?learning to learn? since 1987: http://people.idsia.ch/~juergen/metalearner.html http://people.idsia.ch/~juergen/oops.html http://people.idsia.ch/~juergen/goedelmachine.html Slides from the overview talk at the NIPS 2016 MAIN workshop: http://people.idsia.ch/~juergen/rsi2016white.pdf Cheers, J?rgen J?rgen Schmidhuber Scientific Director, Swiss AI Lab IDSIA Professor of AI, USI & SUPSI, Switzerland President, NNAISENSE http://www.idsia.ch/~juergen/ > On 17 Apr 2017, at 16:51, Danny Silver wrote: > > Dear Hava and others ? > > What is in a name? > Lifelong Learning Machines <= Lifelong Machine Learning <= Machine Lifelong Learning <= Learning to Learn > > All of the above are concerned with the persistent and cumulative nature of learning with machines. They are based on the hypothesis that more efficient (shorter training times, fewer training examples) and more effective (more accurate hypotheses) learning relies on an appropriate inductive bias, one source being prior knowledge from related tasks (or examples from the same task domain). They should also be concerned with the consolidation of knowledge acquired through learning to support inductive bias, which forces one to look at the representation of learned knowledge. > > I have been studying Lifelong Machine Learning since 1993. The field has gone from having no name to several vintages. This is an appeal for the community to stay with the title ?Lifelong Machine Learning? unless there is some need to distinquish ?Lifelong Learning Machines? as a separate discipline. > > In 1995, Rich Caruana and I organized the first NIPS workshop on ?Learning to Learn: Knowledge Consolidation > and Transfer in Inductive Systems". See http://plato.acadiau.ca/courses/comp/dsilver/NIPS95_LTL/transfer.workshop.1995.html > This workshop produced a seminal book by Sebastian Thrun that solidified the title ?Learning to Learn? or L2L. Seehttp://robots.stanford.edu/papers/thrun.book3.html > > Over the next decade myself and several others started to use the term ?Machine Lifelong Learning? or ML3. > Our lab created a ML3 contributor website that has fallen behind over the years (http://ml3.acadiau.ca/) being replaced by material on our current lab website http://mlrl.acadiau.ca/ and by ResearchGate websites such as -https://www.researchgate.net/profile/Daniel_Silver > > The L2L and ML3 titles lasted well into the first decade of the 2000s and was used at the second NIPS workshop on the subject ?Inductive Transfer : 10 Years Later?. Seehttp://socrates.acadiau.ca/courses/comp/dsilver/Share/2005Conf/NIPS2005_ITWS/Website/index.htm > > Along the way Mark Ring has distinquished ?Continual Learning? in the Reinforcement Learning paradigm as a process of learning ever more complicated skills by building on those skills already developed. See > https://www.cs.utexas.edu/~ring/Diss/index.html and his new companyhttp://www.cogitai.com/ > > Around about 2010, Eric Eaton and others started to use the term ?Lifelong Machine Learning? or LML which many people have come to like. Please see Eric?s webpage for some of the work he has been involved inhttps://www.seas.upenn.edu/~eeaton/research.html > > So given that we have the well-used term ?Lifelong Machine Learning? and that the name has changed a few times already, I really do not cherish the community moving toward yet another permutation of the three words ?Lifelong?, ?Machine?, and ?Leaning?, unless it is really a different research area ? In which case, I would ask that we use a significantly different monicker. I make my case for sticking with the title ?Lifelong Machine Learning? with the list of its uses shown below my signature. > > Note that a new research theme is starting to be used that brings together machine learning and knowledge representation to solve one of the Big AI problems. The problem is how to the learn background knowledge so it can be used for reason and the new title is ?Lifelong Machine Learning and Reasoning?. > Recently, I created a ResearchGate project which is gaining followers > https://www.researchgate.net/project/Lifelong-Machine-Learning-and-Reasoning > > .. Danny > > ========================== > Daniel L. Silver > Professor and Acting Director, Jodrey School of Computer Science > Director, Acadia Institute for Data Analytics > Acadia University, > Office 314, Carnegie Hall, > Wolfville, Nova Scotia Canada B4P 2R6 > > t. (902) 585-1413 > f. (902) 585-1067 > > acadiau.ca > Facebook Twitter YouTube LinkedIn Flickr > > > > In recent years, there has come to exist a wide variety of websites that are currently using ?Lifelong Machine Learning? including those related to: > > Books: > https://www.cs.uic.edu/~liub/lifelong-machine-learning.html > > Papers: > Lifelong machine learning: a paradigm for continuous learning > http://www.aaai.org/ocs/index.php/SSS/SSS13/paper/viewFile/5802/5977 > http://dl.acm.org/citation.cfm?id=2433459 > https://pdfs.semanticscholar.org/fb24/b6917eb42ccbf354371ee9565a3014b51e7c.pdf > https://cs.byu.edu/colloquium/sentiment-analysis-and-lifelong-machine-learning > https://scholar.google.com/citations?user=Z_vWXgsAAAAJ&hl=en > > Popular Press Articles: > https://www.weforum.org/agenda/2017/01/lifelong-machine-learning/ > http://www.rollproject.org/lifelong-machine-learning-systems-optimisation/ > > Videos: > https://www.youtube.com/watch?v=wc2xn4g1-uU > > Courses: > https://www.cs.uic.edu/~liub/lifelong-learning.html > > Tutorials and Workshops: > https://www.cs.uic.edu/~liub/IJCAI15-tutorial.html > https://www.seas.upenn.edu/~eeaton/AAAI-SSS13-LML/ > http://repository.ust.hk/ir/Record/1783.1-73755 > https://bigdata.cs.dal.ca/news/2014-06-09-000000/seminar-lifelong-machine-learning-and-reasoning > > Research Websites: > http://mlrl.acadiau.ca/ > https://www.cs.uic.edu/~liub/lifelong-learning.html > https://www.seas.upenn.edu/~eeaton/research.html > https://jaimefernandezdcu.wordpress.com/2016/10/24/lml/ > > ++++++++ +++++++++ ++++++++++ > > From: Connectionists on behalf of Hava Siegelmann > Date: Sunday, April 16, 2017 at 1:57 PM > To: "connectionists at mailman.srv.cs.cmu.edu" > Subject: Re: Connectionists: Lifelong Learning Machines - Call for Grants > > Dear Connectionists, it was a typo, Lifelong Learning Machine is NOW AVAILABLE - please read, get together and apply. > We have the chance to start a new chapter of AI. > > Hava > > > On Fri, Apr 14, 2017 at 5:41 PM, Hava Siegelmann wrote: >> Dear Friends >> >> Lifelong Learning Machines (L2M) call for proposals (or in DARPA lingo BAA (Broad agency announcement)) is not available online from the DARPA portal >> >> Note that there is also a link for teaming to enable create small groups is you are looking for collaborators. >> >> Note that DARPA programs are once in a lifetime rather than NSF/NIH with repeating ideas. So start reading and prepare your applications on time. >> >> >> All the best and much luck - >> >> Hava Siegelmann >> >> > From annalisa.gentile at ibm.com Tue Apr 18 01:57:18 2017 From: annalisa.gentile at ibm.com (annalisa gentile) Date: Tue, 18 Apr 2017 05:57:18 +0000 Subject: Connectionists: [CfP] ISWC 2017 - call for contributions Message-ID: An HTML attachment was scrubbed... URL: From rloosemore at susaro.com Mon Apr 17 17:53:37 2017 From: rloosemore at susaro.com (Richard Loosemore) Date: Mon, 17 Apr 2017 22:53:37 +0100 Subject: Connectionists: Lifelong Machine Learning please In-Reply-To: References: Message-ID: <9e8c522a-c24e-a20a-ada0-73817989b1fe@susaro.com> In my opinion a new term IS justified, because one of the premises of the L2M program at DARPA is that something is not right with current approaches to the problem of learning in AI systems. They have many failings, so some radically new thinking is required. That, after all, is what DARPA is all about: encouraging groundbreaking new ideas. If your suggestion were adopted, and the "Lifelong Learning Machines" label were dropped in favor of some variant of one the existing terms, what would be the point? That would be like saying "The existing approaches are okay, and we need more of what they are doing." That seems to me to be exactly the opposite of the intention with the L2M program. And, apart from anything else, my own research does directly address the problem of L2M, but at the same time it does not fit anywhere inside the existing approaches. Your characterisation of the field in the second paragraph below is, I am sorry to say, completely irrelevant and almost meaningless in my own framework. I don't speak for DARPA, of course. This is just my take on it, and my interpretation of what was said at the Proposers' Day. Richard Loosemore Susaro. On 4/17/17 3:51 PM, Danny Silver wrote: > > Dear Hava and others ? > > > > What is in a name? > > Lifelong Learning Machines <= *Lifelong Machine Learning* <= Machine > Lifelong Learning <= Learning to Learn > > > > All of the above are concerned with the persistent and cumulative > nature of learning with machines. They are based on the hypothesis > that more efficient (shorter training times, fewer training examples) > and more effective (more accurate hypotheses) learning relies on an > appropriate inductive bias, one source being prior knowledge from > related tasks (or examples from the same task domain). They should > also be concerned with the consolidation of knowledge acquired through > learning to support inductive bias, which forces one to look at the > representation of learned knowledge. > > > > I have been studying *Lifelong Machine Learning* since 1993. The > field has gone from having no name to several vintages. This is an > appeal for the community to stay with the title ?*Lifelong Machine > Learning*? unless there is some need to distinquish ?Lifelong Learning > Machines? as a separate discipline. > > > > In 1995, Rich Caruana and I organized the first NIPS workshop on > ?Learning to Learn: Knowledge Consolidation > and Transfer in Inductive Systems". See > http://plato.acadiau.ca/courses/comp/dsilver/NIPS95_LTL/transfer.workshop.1995.html > > This workshop produced a seminal book by Sebastian Thrun that > solidified the title ?Learning to Learn? or L2L. See > http://robots.stanford.edu/papers/thrun.book3.html > > > > Over the next decade myself and several others started to use the term > ?Machine Lifelong Learning? or ML3. > > Our lab created a ML3 contributor website that has fallen behind over > the years (http://ml3.acadiau.ca/) being > replaced by material on our current lab website > http://mlrl.acadiau.ca/ and by ResearchGate websites such as - > https://www.researchgate.net/profile/Daniel_Silver > > > > The L2L and ML3 titles lasted well into the first decade of the 2000s > and was used at the second NIPS workshop on the subject ?Inductive > Transfer : 10 Years Later?. See > http://socrates.acadiau.ca/courses/comp/dsilver/Share/2005Conf/NIPS2005_ITWS/Website/index.htm > > > > Along the way Mark Ring has distinquished ?Continual Learning? in the > Reinforcement Learning paradigm as a process of learning ever more > complicated skills by building on those skills already developed. See > > https://www.cs.utexas.edu/~ring/Diss/index.html > and his new > company http://www.cogitai.com/ > > > > Around about 2010, Eric Eaton and others started to use the term > ?*Lifelong Machine Learning*? or *LML* which many people have come to > like. Please see Eric?s webpage for some of the work he has been > involved in https://www.seas.upenn.edu/~eeaton/research.html > > > > > So given that we have the well-used term ?*Lifelong Machine Learning*? > and that the name has changed a few times already, I really do not > cherish the community moving toward yet another permutation of the > three words ?Lifelong?, ?Machine?, and ?Leaning?, unless it is really > a different research area ? In which case, I would ask that we use a > significantly different monicker. I make my case for sticking with > the title ?*Lifelong Machine Learning*? with the list of its uses > shown below my signature. > > > > Note that a new research theme is starting to be used that brings > together machine learning and knowledge representation to solve one of > the Big AI problems. The problem is how to the learn background > knowledge so it can be used for reason and the new title is ?*Lifelong > Machine Learning and Reasoning*?. > > Recently, I created a ResearchGate project which is gaining followers > > https://www.researchgate.net/project/Lifelong-Machine-Learning-and-Reasoning > > > > > .. Danny > > > > ========================== > > *Daniel L. Silver * > > Professor and Acting Director, Jodrey School of Computer Science > > Director, Acadia Institute for Data Analytics > > Acadia University, > > Office 314, Carnegie Hall, > > Wolfville, Nova Scotia Canada B4P 2R6 > > > > t. (902) 585-1413 > > f. (902) 585-1067 > > > > acadiau.ca > > Facebook Twitter > YouTube > LinkedIn > > Flickr > > > > > > In recent years, there has come to exist a wide variety of websites > that are currently using ?*Lifelong Machine Learning*? including those > related to: > > > > Books: > > https://www.cs.uic.edu/~liub/lifelong-machine-learning.html > > > > > Papers: > > Lifelong machine learning: a paradigm for continuous learning > > > http://www.aaai.org/ocs/index.php/SSS/SSS13/paper/viewFile/5802/5977 > > http://dl.acm.org/citation.cfm?id=2433459 > > https://pdfs.semanticscholar.org/fb24/b6917eb42ccbf354371ee9565a3014b51e7c.pdf > > > https://cs.byu.edu/colloquium/sentiment-analysis-and-lifelong-machine-learning > > > https://scholar.google.com/citations?user=Z_vWXgsAAAAJ&hl=en > > > > Popular Press Articles: > > https://www.weforum.org/agenda/2017/01/lifelong-machine-learning/ > > http://www.rollproject.org/lifelong-machine-learning-systems-optimisation/ > > > > > Videos: > > https://www.youtube.com/watch?v=wc2xn4g1-uU > > > > Courses: > > https://www.cs.uic.edu/~liub/lifelong-learning.html > > > > > Tutorials and Workshops: > > https://www.cs.uic.edu/~liub/IJCAI15-tutorial.html > > > https://www.seas.upenn.edu/~eeaton/AAAI-SSS13-LML/ > > > http://repository.ust.hk/ir/Record/1783.1-73755 > > https://bigdata.cs.dal.ca/news/2014-06-09-000000/seminar-lifelong-machine-learning-and-reasoning > > > > > Research Websites: > > http://mlrl.acadiau.ca/ > > https://www.cs.uic.edu/~liub/lifelong-learning.html > > > https://www.seas.upenn.edu/~eeaton/research.html > > > https://jaimefernandezdcu.wordpress.com/2016/10/24/lml/ > > > > ++++++++ +++++++++ ++++++++++ > > > > *From: *Connectionists > on behalf of Hava Siegelmann > *Date: *Sunday, April 16, 2017 at 1:57 PM > *To: *"connectionists at mailman.srv.cs.cmu.edu" > > *Subject: *Re: Connectionists: Lifelong Learning Machines - Call for > Grants > > > > Dear Connectionists, it was a typo, Lifelong Learning Machine is NOW > AVAILABLE - please read, get together and apply. > > We have the chance to start a new chapter of AI. > > > > Hava > > > > > > On Fri, Apr 14, 2017 at 5:41 PM, Hava Siegelmann > > wrote: > > Dear Friends > > > > Lifelong Learning Machines (L2M) call for proposals (or in DARPA > lingo BAA (Broad agency announcement)) is not available online > from the DARPA portal > > > > Note that there is also a link for teaming to enable create small > groups is you are looking for collaborators. > > > > Note that DARPA programs are once in a lifetime rather than > NSF/NIH with repeating ideas. So start reading and prepare your > applications on time. > > > > > > All the best and much luck - > > > > Hava Siegelmann > > > > > > > -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: not available Type: image/png Size: 7485 bytes Desc: not available URL: From asdm at fi.upm.es Tue Apr 18 05:56:38 2017 From: asdm at fi.upm.es (asdm at fi.upm.es) Date: Tue, 18 Apr 2017 11:56:38 +0200 (CEST) Subject: Connectionists: Twelfth Madrid UPM Advanced Statistics and Data Mining Summer School (June 26th - July 7th, 2017) - Early registration reminder Message-ID: <1789550256.7.1492509398460.JavaMail.bmihaljevic@morelia> Dear colleagues, We would like to remind you that early registration for the Madrid UPM Advanced Statistics and Data Mining summer school is open until June 5th. The summer school will be held in Boadilla del Monte, near Madrid, from June 26th to July 7th. This year's edition comprises 12 week-long courses (15 lecture hours each), given during two weeks (six courses each week). Attendees may register in each course independently. No restrictions, besides those imposed by timetables, apply on the number or choice of courses. For the third time in a row, INOMICS has selected our summer school as one of the world's top ten summer schools in mathematics and statistics. You can read more at http://bit.ly/2oR00GI Early registration is *OPEN*. Extended information on course programmes, price, venue, accommodation and transport is available at the school's website: http://www.dia.fi.upm.es/ASDM There is a 25% discount for members of Spanish AEPIA and SEIO societies. Please, forward this information to your colleagues, students, and whoever you think may find it interesting. Best regards, Pedro Larranaga, Concha Bielza, Bojan Mihaljevic and Alberto Ogbechie. -- School coordinators. *** List of courses and brief description *** * Week 1 (June 26th - June 30th, 2017) * 1st session: 9:45-12:45 Course 1: Bayesian Networks (15 h) Basics of Bayesian networks. Inference in Bayesian networks. Learning Bayesian networks from data. Real applications. Practical demonstration: GeNIe, Weka, Bayesia, R. Course 2: Time Series(15 h) Basic concepts in time series. Linear models for time series. Time series clustering. Practical demonstration: R. 2nd session: 13:45-16:45 Course 3: Supervised Pattern Recognition (15 h) Introduction. Assessing the performance of supervised classification algorithms. Preprocessing. Classification techniques. Combining multiple classifiers. Comparing supervised classification algorithms. Practical demonstration: Weka. Course 4: Bayesian Inference (15 h) Introduction: Bayesian basics. Conjugate models. MCMC and other simulation methods. Regression and Hierarchical models. Model selection. Practical demonstration: R and WinBugs. 3rd session: 17:00 - 20:00 Course 5: Neural Networks and Deep Learning (15 h) Introduction. Training algorithms. Learning and Optimization. MLPs in practice. Deep Networks. Practical session: Python with keras and Jupyter notebooks. Course 6: Unsupervised Pattern Recognition (15 h) Introduction to clustering. Data exploration and preparation. Prototype-based clustering. Density-based clustering. Graph-based clustering. Cluster evaluation. Miscellanea. Conclusions and final advise. Practical session: R. * Week 2 (July 3rd - July 7th, 2017) * 1st session: 9:45-12:45 Course 7: Statistical Inference (15 h) Introduction. Some basic statistical test. Multiple testing. Introduction to bootstrap methods. Introduction to Robust Statistics. Practical demonstration: R. Course 8: Big Data with Apache Spark (15 h) Introduction. Spark framework and APIs. Data processing with Spark. Spark streaming. Machine learning with Spark MLlib. 2nd session: 13:45-16:45 Course 9: Text Mining (15 h) Information Retrieval 101. Unsupervised Text Processing. Representation Learning. Information Extraction. Natural Language Understanding. Practical session: Python, with Jupyter notebooks. Course 10: Feature Subset Selection (15 h) Introduction. Filter approaches. Embedded methods. Wrapper methods. Additional topics. Practical session: R and Weka. 3rd session: 17:00-20:00 Course 11: Support Vector Machines and Regularized Learning (15 h) Introduction. SVM models. SVM learning algorithms. Regularized learning. Convex optimization for regularized learning. Practical session: Python with scikit-learn, Jupyter notebooks. Course 12: Hidden Markov Models (15 h) Introduction. Discrete Hidden Markov Models. Basic algorithms for Hidden Markov Models. Semicontinuous Hidden Markov Models. Continuous Hidden Markov Models. Unit selection and clustering. Speaker and Environment Adaptation for HMMs. Other applications of HMMs. Practical session: HTK. If you wish to stop receiving emails regarding the Madrid UPM Advanced Statistics and Data Mining summer school, please reply to this email with the title STOP. From terry at salk.edu Tue Apr 18 11:52:58 2017 From: terry at salk.edu (Terry Sejnowski) Date: Tue, 18 Apr 2017 08:52:58 -0700 Subject: Connectionists: NEURAL COMPUTATION - May 1, 2017 In-Reply-To: Message-ID: Neural Computation - Volume 29, Number 5 - May 1, 2017 Available online for download now: http://www.mitpressjournals.org/toc/neco/29/5 ----- Review Parameter Identifiability in Statistical Machine Learning: A Review Zhi-Yong Ran, Bao-Gang Hu Article Using Inspiration From Synaptic Plasticity Rules to Optimize Traffic Flow in Distributed Engineered Networks Jonathan Y Suen, Saket Navlakha Letters An Approximation of the Error Back-propagation Algorithm in a Predictive Coding Network With Local Hebbian Synaptic Plasticity James C.R. Whittington, Rafal Bogacz Modulation of Context-dependent Spatio-temporal Patterns Within Packets of Spiking Activity Miho Itoh, Timothee Leleu Variational Latent Gaussian Process for Recovering Single-Trial Dynamics From Population Spike Trains Yuan Zhao, Memming Park Fast Estimation of Approximate Matrix Ranks Using Spectral Densities Shashanka Ubaru, Yousef Saad, and Abd-Krim Seghouane Unsupervised 2D Dimensionality Reduction With Adaptive Structure Learning Xiaowei Zhao, Feiping Nie, Sen Wang, Jun Guo, Pengfei Xu, and Xiaojiang Chen Multi-associative Memory: Recurrent Synapses Increase Storage Capacity Marcelo Matheus Gauy, Florian Meier, and Angelika Steger DC Algorithm for Extended Robust Support Vector Machine Shuhei Fujiwara, akiko takeda, and Takafumi Kanamori ------------ ON-LINE -- http://www.mitpressjournals.org/neuralcomp SUBSCRIPTIONS - 2017 - VOLUME 29 - 12 ISSUES Student/Retired $80 Individual $142 Institution $1,141 MIT Press Journals, One Rogers Street, Cambridge, MA 02142-1209 Tel: (617) 253-2889 FAX: (617) 577-1545 journals-cs at mit.edu ------------ From yang at maebashi-it.org Tue Apr 18 09:41:48 2017 From: yang at maebashi-it.org (Yang) Date: Tue, 18 Apr 2017 22:41:48 +0900 Subject: Connectionists: [Brain Informatics 2017] - Call for Papers - Deadline Extension: May 1 Message-ID: [Apologies if you receive this more than once] CALL FOR PAPERS The 2017 International Conference on Brain Informatics (BI'17) THE 10TH ANNIVERSARY OF BRAIN INFORMATICS November 16-18, 2017, Beijing, China Homepage: http://bii.ia.ac.cn/bi-2017/ --------------------------------------------------------------------------------- [EXTENDED!!] FULL PAPER SUBMISSION DEADLINE: May 1, 2017 --------------------------------------------------------------------------------- *** KEYNOTE SPEAKERS *** Alan Evans (McGill University, Canada) Tom Mitchell (Carnegie Mellon University, US) Yanchao Bi (Beijing Normal University, China) Adam Ferguson (University of California San Francisco, US) Bin Hu (Lanzhou University, China) Michael Hawrylycz (Allen Institute for Brain Science, US) Dinggang Shen (University of North Carolina at Chapel Hill, US) ================================================== Brain Informatics (BI) conference series provides a premier forum to bring together researchers and practitioners in the fields of neuroscience, cognitive science, computer science, data science, artificial intelligence, information communication technologies, and neuroimaging technologies. BI'17 addresses the computational, cognitive, physiological, biological, physical, ecological and social perspectives of brain informatics, as well as topics relating to mental health and well-being. It also welcomes emerging information technologies, including but not limited to Internet/Web of Things (IoT/WoT), cloud computing, big data analytics and interactive knowledge discovery related to brain research. BI'17 also encourages submissions that explore how advanced computing technologies are applied to and make a difference in various large-scale brain studies and their applications. BI'17 welcomes paper submissions (full paper and abstract submissions). Both research and application papers are solicited. All submitted papers will be reviewed on the basis of technical quality, relevance, significance and clarity. Accepted full papers will be included in the proceedings by Springer LNCS/LNAI. Workshop, Special-Session and Tutorial proposals, and Industry/Demo-Track papers are also welcome. The organizers of Workshops and Special-Sessions are invited to prepare a book proposal based on the topics of the workshop/special session for possible book publication in the Springer-Nature Brain Informatics & Health book series (http://www.springer.com/series/15148). *** Topics and Areas *** Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Investigations of Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Track 5: Brain-Inspired Intelligence and Computing IMPORTANT DATES (Extended): =========================== May 1, 2017: Submission deadline for full papers May 20, 2017: Submission deadline for workshop/special-session papers June 10, 2017: Notification of full paper acceptance June 20, 2017: Notification of workshop/special-session paper acceptance June 20, 2017: Submission deadline for abstracts July 10, 2017: Notification of abstract acceptance November 16, 2017: Tutorials, workshops and special-sessions November 17-18, 2017: Main conference PAPER SUBMISSIONS & PUBLICATIONS: ================================= TYPE-I (Full Paper Submissions; Submission Deadline: May 1, 2017): Papers need to have up to 10 pages in LNCS format: http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 All full length papers accepted (and all special sessions' full length papers) will be published by Springer as a volume of the series of LNCS/LNAI. TYPE-II (Abstract Submissions; Submission Deadline: June 20, 2017): Abstracts have a word limit of 500 words. Experimental research is particularly welcome. Accepted abstract submissions will be included in the conference program, and will be published as a single, collective proceedings volume. Title: Include in the title of the abstract all words critical for a subject index. Write your title in sentence case (first letter is capitalized; remaining letters are lower case). Do not bold or italicize your full title. Author: List all authors who contributed to the work discussed in the abstract. The presenting author must be listed in the first author slot of the list. Be prepared to submit contact information as well as conflict of interest information for each author listed. Abstract: Enter the body of the abstract and attach any applicable graphic files or tables here. Do not re-enter the title, author, support, or other information that is collected in other steps of the submission form. Presentation Preference: Authors may select from three presentation formats when submitting an abstract: "poster only", "talk preferred" or "no preference." The "talk preferred" selection indicates that you would like to give a talk, but will accept a poster format if necessary. Marking "poster only" indicates that you would not like to be considered for an oral-presentation session. Selecting "no preference" indicates the author's willingness to be placed in the best format for the program. Each paper or abstract requires one sponsoring attendee (i.e. someone who registered and is attending the conference). A single attendee can not sponsor more than two abstracts or papers. Oral presentations will be selected from both full length papers and abstracts. *** Post-Conference Journal Publication *** The Brain Informatics conferences have the formal ties with Brain Informatics journal (Springer-Nature, http://www.springer.com/40708). Accepted papers from the conference, including their Best Paper Award papers, will be expanded and revised for possible inclusion in the Brain Informatics journal each year. It is fully sponsored and no any article-processing fee charged for authors of Brain Informatics conference. *** Awards *** Best Paper awards will be conferred at the conference on the authors of (1) the best research paper and (2) the best student paper. ORGANIZERS ========== General Chairs Bo Xu (Chinese Academy of Sciences, China) Hanchuan Peng (Allen Institute for Brain Sciences, USA) Qingming Luo (Huazhong University of Science and Technology, China) Program Committee Chairs Yi Zeng (Chinese Academy of Sciences, China) Yong He (Beijing Normal University, China) Jeanette Kotaleski (Karolinska Institute, Sweden) Maryann Martone (University of California, San Diego, USA) Organizing Chairs Ning Zhong (Maebashi Institute of Technology, Japan, and Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China Jianzhou Yan (Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Shengfu Lu (Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Workshop/Special-Session Chairs An'an Li (Huazhong University of Science and Technology, China) Sen Song (Tsinghua University, China) Tutorial Chair Wenming Zheng (South East University, China) Publicity Chairs Tielin Zhang (Chinese Academy of Sciences, China) Shouyi Wang (University of Texas at Arlington, USA) Yang Yang (Maebashi Institute of Technology, Japan, and Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Steering Committee Chairs Ning Zhong (Maebashi Institute of Technology, Japan) Hanchuan Peng (Allen Institute for Brain Science, USA) *** Contact Information *** tielin.zhang at ia.ac.cn shouyiw at uta.edu yang at maebashi-it.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From ted.carnevale at yale.edu Tue Apr 18 14:27:24 2017 From: ted.carnevale at yale.edu (Ted Carnevale) Date: Tue, 18 Apr 2017 14:27:24 -0400 Subject: Connectionists: Workshop on High Performance Computing at OCNS 2017 meeting Message-ID: <0f40b301-c605-eeac-9818-8e211c61da13@yale.edu> What: Workshop on High Performance Computing Resources for Large Scale Simulations When: 14:00 - 18:00 on Thursday, July 20, 2017 Where: CNS 2017 meeting in Antwerp, Belgium Who: Organized by A Majumdar and S Sivagnanam (UCSD) and T Carnevale (Yale) See how neuroscientists engaged in large scale simulation projects, and developers of powerful tools for computational neuroscience research, are making productive use of high performance computing resources. Learn about the tools they are developing. Find out how you can use those tools in your own research. Speakers to include S Dura-Bernal, S Neymotin, W Lytton (SUNY Downstate) M Migliore, C Lupascu, L Bologna, R Migliore (NRC, Palermo) P Gleeson (UCL) A Peyser (Juelich) C Weaver (Franklin and Marshall) M Bezaire (BU) For abstracts and other information see http://www.nsgportal.org/NSGWorkshop-OCNS-2017.html --Ted From masulli at disi.unige.it Tue Apr 18 15:04:24 2017 From: masulli at disi.unige.it (Francesco Masulli) Date: Tue, 18 Apr 2017 21:04:24 +0200 Subject: Connectionists: PhD in Genoa (Italy) Message-ID: PhD positions in Genova at DIBRIS - Univ. of Genoa (Italy) http://www.disi.unige.it/person/MasulliF/ricerca/PhDinGenova2017.html The call for some funded positions for the 3 years PhD studies at the Department of Informatics, Bioengineering, Robotics and System Engineering (DIBRIS) in Genova is available at http://www.studenti.unige.it/postlaurea/dottorati/XXXIII/ENG/ The deadline for applications is June13, 2017 and the PhD courses and fellowships should start on Nov 2017. Details for the application to the PhD Program in Computer Science and Systems Engineering (CODICE 6608) are at http://phd.dibris.unige.it/csse/index.php/how-to-apply The research activity of my research group is focused on Computational Intelligence, Machine Learning, Bioinformatics, Systems Biology, and Positive Technology as described at http://www.disi.unige.it/person/MasulliF/ricerca/index.html The research themes proposed by me and Prof. Stefano Rovetta are: - Computational Intelligence and Machine Learning (see http://www.disi.unige.it/person/MasulliF/ricerca/Phd2017-T1.html) - Computational Intelligence and Health and Wellbeing Support( see http://www.disi.unige.it/person/MasulliF/ricerca/Phd2017-T3.html) If you are interested to work under my supervision, you can also propose a different research theme belonging to the research activity of my group. I'm looking for self-motivated PhD candidates, interested to the mathematical aspects of their research and to the development of new algorithms for intelligent data analysis, and skilled in programming and in thorough experimental data analysis. They will be part of my research group and will collaborate to our research projects and publications. Italian and international students interested to work under my supervision are invited to send their cv and the name/email-addresses of 3 referees to my email address francesco.masulli at unige.it A.S.A.P. Prof. Francesco Masulli DIBRIS - Univ. Genoa From zemel at cs.toronto.edu Tue Apr 18 16:35:30 2017 From: zemel at cs.toronto.edu (Richard Zemel) Date: Tue, 18 Apr 2017 16:35:30 -0400 (EDT) Subject: Connectionists: Vector Institute positions Message-ID: The new Vector Institute in Toronto is looking for research scientists and postdoctoral fellows. The former positions combine many of the best aspects of being a faculty member with a research scientist position in a corporate machine learning group; the latter offer considerable research autonomy and flexibility. The focus at Vector is on deep learning and machine learning more broadly. See the ads, and learn more information at: http://vectorinstitute.ai Richard Zemel Research Director, Vector Institute for Artificial Intelligence zemel at vectorinstitute.ai From k.schwarzwaelder at fz-juelich.de Wed Apr 19 02:56:37 2017 From: k.schwarzwaelder at fz-juelich.de (Kerstin Schwarzwaelder) Date: Wed, 19 Apr 2017 08:56:37 +0200 Subject: Connectionists: Reminder: Call for applications: Brains for Brains Young Researchers' Computational Neuroscience Award 2017 In-Reply-To: References: Message-ID: <959bf643-9241-1fb0-683f-3fe33d81859d@fz-juelich.de> Dear colleagues, Please let me remind you that, for the eighth time, the Bernstein Association for Computational Neuroscience is announcing the "Brains for Brains Young Researchers' Computational Neuroscience Award". The call is open for researchers of any nationality who have contributed to a peer reviewed publication (as coauthor) or peer reviewed conference abstract (as first author) that was submitted before starting their doctoral studies, is written in English and was accepted or published in 2016 or 2017. The award is endowed with a travel grant of 2.000 ? to cover a trip to Germany, including participation in the Bernstein Conference 2017 in G?ttingen (www.bernstein-conference.de), and an individually planned visit to up to two German research institutions in Computational Neuroscience. Deadline for application is April 27, 2017 (2:00 p.m. CET). Detailed information about the application procedure can be found under: www.nncn.de/en/bernstein-association/brains-for-brains-2017 For inquiries please contact bernstein.network at fz-juelich.de Best regards, Kerstin Schwarzw?lder -- Dr. Kerstin Schwarzw?lder Scientific Coordination / Management Officer Please note: Our email addresses have changed. Please use k.schwarzwaelder at fz-juelich.de Bernstein Network Computational Neuroscience | Bernstein Coordination Site (BCOS) Branch Office of the Forschungszentrum J?lich at the University of Freiburg Hansastr. 9A | 79104 Freiburg, Germany phone: (+49) 0761 203 9589 mail: k.schwarzwaelder at fz-juelich.de web: www.nncn.de Twitter: NNCN_Germany YouTube: Bernstein TV Facebook: Bernstein Network Computational Neuroscience, Germany LinkedIn: Bernstein Network Computational Neuroscience, Germany ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ -------------- next part -------------- An HTML attachment was scrubbed... URL: From zfalomir at gmail.com Wed Apr 19 05:53:33 2017 From: zfalomir at gmail.com (Zoe Falomir) Date: Wed, 19 Apr 2017 11:53:33 +0200 Subject: Connectionists: [CfP] ProSocrates 2017 - extended call for papers Message-ID: 2nd Symposium on Problem-solving, Creativity and Spatial Reasoning in Cognitive Systems https://prosocrates.wordpress.com/Problem-solving, human creative cognition, spatial cognition and computational creativity are topics often treated separately, despite their major potential for synergies. The ProSocrates Symposium aims to investigate these synergies. The 2nd Edition of the Problem-solving, Creativity and Spatial Reasoning Symposium will take place on 20-21 July 2017 at the Hanse Wissenschaftskolleg (@HWK_IAS) in Delmenhorst, Germany. Important Dates Submission of full papers - 24 April 2017 Submission of poster abstracts - 24 April 2017 Notification of acceptance - 24 May 2017 Late Breaking papers - 1 June 2017 Camera ready version - 15 June, 2017 Submission Two types of papers are welcome: ? Full research papers - up to 10 pages in LNCS format + references ? Poster submissions - up to 5 pages in LNCS format. ? Late Breaking papers - up to 6 pages in LNCS format + references Submission via Easychair: https://easychair.org/conferences/?conf=prosocrates2017 Publication Accepted papers in CEUR Workshop Proceedings. Best extended papers in a Special Issue in Cognitive Systems Research journal (Elsevier). Invited Talks Ken Forbus, Northwestern University Marco Schorlemmer, IIIA-CSIC Spain Bipin Indurkhya, Jagiellonian University, Krak?w Lled? Museros, University Jaume I Andrew Lovett, Northwestern University Tarek Besold, Universitat Bremen Symposium Chairs and Organization Ana-Maria Olteteanu ? Creative Cognitive Systems, Bremen Spatial Cognition Center, Universit?t Bremen, Germany. Email: amoodu at informatik.uni-bremen.de Zoe Falomir (@zfalomir) ? Cognitive Qualitative Descriptors and Applications (@CogQDA) Bremen Spatial Cognition Center, Universit?t Bremen, Germany. Email: zfalomir at uni-bremen.de -- ------------------------------------------------------------ Dr.-Ing. Zoe Falomir Llansola https://sites.google.com/site/zfalomir/home Twitter at @zfalomir ------------------------------------------------------------ From navlakha at salk.edu Wed Apr 19 12:02:43 2017 From: navlakha at salk.edu (Saket Navlakha) Date: Wed, 19 Apr 2017 09:02:43 -0700 Subject: Connectionists: Biological Distributed Algorithms (BDA) 2017 Message-ID: <4F4D52A8-D2B4-468C-A862-E685B5C1323C@salk.edu> Updated: invited speakers, Q&A panel with program officers, and travel fellowships for students/post-docs. ======================================================= The 5th Workshop on Biological Distributed Algorithms (BDA 2017) July 28, 2017 in Washington, DC, USA. Co-located with PODC 2017 http://www.snl.salk.edu/~navlakha/BDA2017/ ======================================================= We are excited to announce the 5th workshop on Biological Distributed Algorithms (BDA). The aim of the workshop is to foster collaborative research between biologists and distributed computing theory researchers, with the hope of producing better understanding of the behavior of distributed biological systems, as well as new ideas for design of algorithms for engineered or computational networks. BDA 2017 will include presentations on distributed algorithms related to a variety of biological systems, with special attention to communication and coordination in insect colonies (e.g. foraging, navigation, task allocation, construction) and networks in the brain (e.g. learning, decision-making, attention). This is a one-day workshop. =========== SUBMISSIONS =========== We solicit submissions of extended abstracts describing recent results relevant to biological distributed computing. We especially welcome extended abstracts describing new insights and / or case studies regarding the relationship between distributed computing and biological systems even if these are not fully formed. Since a major goal of the workshop is to explore new directions and approaches, we especially encourage the submission of ongoing work. Selected contributors would be asked to present, discuss and defend their work at the workshop. By default, the submissions will be evaluated for either oral or poster presentation, though authors may indicate in their submission if it should be only considered for one of the presentation types. Submissions should be in PDF and include title, author information, and a 4-page extended abstract. Shorter submissions are also welcome, particularly for poster presentation. Please use the following EasyChair submission link: https://easychair.org/conferences/?conf=bda17 Note: The workshop will not include published proceedings. In particular, we welcome submissions of extended abstracts describing work that has appeared or is expected to appear in other venues. ================================= Support for students and postdocs ================================= To encourage the participation of researchers at the early stages of their career, we will provide financial support for student and postdoc participants. Specifically, for each accepted (oral or poster) presentation, we will reimburse the registration fee and at least $100 of additional travel expenses (the exact amount will be determined later on but it is expected to be higher) of one student/postdoc author. =============== IMPORTANT DATES =============== May 5, 2017 ? Extended abstract submission deadline (23:59 Honolulu time) May 28, 2017 ? Decision notifications July 28, 2017 ? Workshop ========================= INVITED SPEAKERS [more coming] ========================= Timothy Horiuchi (University of Maryland) Srinivas Turaga (Janelia Research Campus) Zeeshan Rasheed/Khurram Hassan-Shafique (Novateur Research Solutions) The workshop will also include talks and a Q&A panel with program officers from various granting agencies, including NSF and ONR, that will discuss funding opportunities for BDA-related research. ================= PROGRAM COMMITTEE ================= Ziv Bar-Joseph - CMU Anna Dornhaus - University of Arizona Yuval Emek - Technion (co-chair) Amos Korman - CNRS and University of Paris Diderot Nancy Lynch - MIT Melanie Moses, University of New Mexico Saket Navlakha - Salk Institute (co-chair) Merav Parter, MIT Andrea Richa, Arizona State University Nir Shavit, MIT From alessandra.sciutti at gmail.com Wed Apr 19 12:06:17 2017 From: alessandra.sciutti at gmail.com (Alessandra Sciutti) Date: Wed, 19 Apr 2017 18:06:17 +0200 Subject: Connectionists: HAI 2017 Call for Papers Message-ID: <00d101d2b926$e0f5d9f0$a2e18dd0$@gmail.com> ========================================================================== *** HAI 2017 Call for Papers *** The Fifth International Conference on Human-Agent Interaction (HAI 2017) Bielefeld, Germany ~ 17 - 20 October 2017 http://hai-conference.net/hai2017/ Submission Site: http://precisionconference.com/~hai/ ========================================================================== HAI 2017 is the 5th annual International Conference on Human-Agent Interaction. It aims to be the premier interdisciplinary venue for discussing and disseminating state-of-the-art research and results that have implications across conventional interaction boundaries including robots, software agents and digitally-mediated human-human communication. The theme for HAI 2017 is "How autonomy shapes interaction". During the last decade a large body of research has been devoted on increasing the interaction quality with artificial agents. This has now reached a quite convincing level for focused application scenarios. However, with robots and agents entering our everyday lives such scenarios will require more initiative and flexibility from the agent, i.e. more autonomy. Such autonomous behavior means, on the other hand, that the interaction will become less predictable. This may become problematic given the strong research focus on statistical behavior models that focus on observable behavior based on rather shallow structures. These models may not be able to capture the underlying interaction structure in less restricted scenarios. We thus need a better understanding and model of the underlying interaction principles that not only takes situational and task aspects into account but also includes detailed user models. Therefore, a stronger research focus is needed to better understand the underlying principles of interaction between autonomous agents, leading to better and deeper models of interaction. We thus encourage contributions that try to tackle this question by focusing on more realistic and life-like scenarios. The conference seeks contributions from a broad range of fields spanning engineering, computer science, psychology and sociology, and will cover diverse topics, including: human-robot interaction, affective computing, computer-supported collaborative work, gaming and serious games, artificial intelligence, and more. Topics of interest include, but are not limited to, - designs and studies of Human-Agent Interaction, including quantitative and qualitative results - theoretical models of Human-Agent Interaction - technological advances in Human-Agent Interaction - impacts of embodiment (e.g., physical vs digital, human vs animal-like) - experimental methods for Human-Agent Interaction - character and avatar design in video games - agents in social network This includes more targeted results that have implications to the broader human-agent interaction community: - human-robot interaction - human-virtual agent interaction - interaction with smart homes and smart cars - distributed groupware where people have remote embodiments and representations - and more! Full papers, posters, late-breaking results, tutorial/workshop overviews will be archived in the ACM Digital Library. *** Important Dates *** ----------------------- * Full Paper Submission * (4-8 pages) 02 June 2017: Deadline for submission of full papers 08 July 2017: Notification of acceptance of full papers 04 August 2017: Final camera-ready papers due * Tutorial/Workshop Proposal Submission * 02 June 2017: Deadline for submission of proposals 08 June 2017: Notification of acceptance of proposals 04 August 2017: Final camera-ready Workshop papers due * Poster and Late-breaking Submission * (2-4 pages) 25 July 2017: Deadline for submission of posters 15 August 2017: Notification of acceptance of posters 18 August 2017: Final camera-ready papers due *** Submission and Reviewing *** -------------------------------- HAI 2017 will accept ONLY online submission of PDF files in the ACM SIGCHI format (http://www.sigchi.org/publications/chipubform). ACM copyright area should be left blank. Please visit the submission page http://hai-conference.net/hai2017/submission for more details on preparations for paper submission. All submitted paper will be reviewed by at least three reviewers and will receive a meta review for quality assurance. Papers will be evaluated on the basis of research originality, excellence, significance and relevance to HAI. We also invite position papers, preliminary (but high impact) studies, and concept papers. *** Organising Committee *** ---------------------------- * Honorary Chair: Gerhard Sagerer, Bielefeld University, Germany * General Co-Chairs: Britta Wrede, Bielefeld University, Germany Yukie Nagai Osaka University, Japan * Local Chairs Lars Schillingmann, Bielefeld University, Germany Andreas Kipp, Bielefeld University, Germany * Financial Chair Franz Kummert, Bielefeld University, Germany * Program Chairs Takanori Komatsu, Meiji University, Japan Marc Hanheide, University of Lincoln, United Kingdom Lorenzo Natale, Italian Institute of Technology, Italy * Publication Chair Patrick Holthaus, Bielefeld University, Germany * Poster Chair Andreas Kipp, Bielefeld University, Germany * Publicity Chairs Kazunori Terada, Gifu University, Japan Alessandra Sciutti, Italian Institute of Technology, Italy * Workshop Chair Kirsten Bergmann, Bielefeld University, Germany * Sponsorship Chair Sebastian Wrede, Bielefeld University, Germany * Registration Chair Birte Carlmeyer, Bielefeld University, Germany * Web Chair Lars Schillingmann, Bielefeld University, Germany ========================================================================== -------------- next part -------------- An HTML attachment was scrubbed... URL: From danny.silver at acadiau.ca Wed Apr 19 13:31:49 2017 From: danny.silver at acadiau.ca (Danny Silver) Date: Wed, 19 Apr 2017 17:31:49 +0000 Subject: Connectionists: FW: Lifelong Machine Learning please In-Reply-To: References: Message-ID: Not sure this made it to the list the first time. .. Danny On 2017-04-17, 6:08 PM, "Danny Silver" wrote: Thanks Juergen .. There are actually two problems beyond transfer learning that makes LML really interesting. (1) As you have mentioned, there is the issue of how a LML agent improves its search algorithm over time, a meta-level learning problem. Some would say this is resolved simply by selecting the appropriate hyper-bias as per Bayesian inference. Interest in this problem goes back to Rysard Michalksi and work by Tom Michell and others. And there remains great value in its pursuit. (2) And there is the issue of how a LML agent consolidates the knowledge that it has learned over time; either in terms of example after example as in continual learning, or task after task as in learning to learn (from my perspective these are the same problem for an agent in a fixed environment with fixed inputs) The correct solution to the second problem has been examined larger from the perspective of inductive transfer learning; ie. how does one retain prior knowledge in a form than can be used to selectively bias future learning. However, in consideration of an agent that reasons with what it learns, the correct solution to the second problem has significant new possibilities. Most importantly, it would provide at least part of the solution to the background knowledge problem that has plagued AI. Clearly your work on deep learning and that of others will play a key role in this, as it seems to hold the key to the learning of reusable internal representations. A significant challenge here is how to overcome the stability-plasticity problem within these type of networks as the agent encounters new examples from its environment. My sense is that nature figured out a rehearsal mechanism during REM sleep as per James McClelland and Bruce McNaughton - http://cseweb.ucsd.edu/~gary/258/jay.pdf. For a solution we have ben working on see http://dblp.uni-trier.de/rec/html/conf/ai/SilverME15 or https://www.researchgate.net/publication/277871940_Consolidation_using_Sweep_Task_Rehearsal_Overcoming_the_Stability-Plasticity_Problem .. Danny ++++ On 2017-04-17, 4:06 PM, "Juergen Schmidhuber" wrote: Dear all, indeed, what is in a name? Since my favorite topic ?learning to learn? got injected into this thread, I can?t resist the temptation to react. Most chapters in the mentioned book edited by Thrun & Pratt (1997) use ?learning to learn? in the quite limited sense of ?transfer learning? from one data set to the next, e.g., through standard backprop. However, according to my 1987 diploma thesis and numerous follow-up papers (1992, 1993, 1994, 1995, 1996, 1997, 2003, 2004, ...), "learning to learn? or meta-learning in ML is really about inspecting & modifying & learning & improving the learning algorithm itself, where the search space is essentially the set of all possible (learning) algorithms, and where one has to solve the meta-credit assignment problem of recursive self-improvement: which early self-modifications of the lifelong learner?s learning algorithm set the stage for later self-modifications etc ... Overview pages with papers on ?learning to learn? since 1987: http://people.idsia.ch/~juergen/metalearner.html http://people.idsia.ch/~juergen/oops.html http://people.idsia.ch/~juergen/goedelmachine.html Slides from the overview talk at the NIPS 2016 MAIN workshop: http://people.idsia.ch/~juergen/rsi2016white.pdf Cheers, J?rgen J?rgen Schmidhuber Scientific Director, Swiss AI Lab IDSIA Professor of AI, USI & SUPSI, Switzerland President, NNAISENSE http://www.idsia.ch/~juergen/ > On 17 Apr 2017, at 16:51, Danny Silver wrote: > > Dear Hava and others ? > > What is in a name? > Lifelong Learning Machines <= Lifelong Machine Learning <= Machine Lifelong Learning <= Learning to Learn > > All of the above are concerned with the persistent and cumulative nature of learning with machines. They are based on the hypothesis that more efficient (shorter training times, fewer training examples) and more effective (more accurate hypotheses) learning relies on an appropriate inductive bias, one source being prior knowledge from related tasks (or examples from the same task domain). They should also be concerned with the consolidation of knowledge acquired through learning to support inductive bias, which forces one to look at the representation of learned knowledge. > > I have been studying Lifelong Machine Learning since 1993. The field has gone from having no name to several vintages. This is an appeal for the community to stay with the title ?Lifelong Machine Learning? unless there is some need to distinquish ?Lifelong Learning Machines? as a separate discipline. > > In 1995, Rich Caruana and I organized the first NIPS workshop on ?Learning to Learn: Knowledge Consolidation > and Transfer in Inductive Systems". See http://plato.acadiau.ca/courses/comp/dsilver/NIPS95_LTL/transfer.workshop.1995.html > This workshop produced a seminal book by Sebastian Thrun that solidified the title ?Learning to Learn? or L2L. Seehttp://robots.stanford.edu/papers/thrun.book3.html > > Over the next decade myself and several others started to use the term ?Machine Lifelong Learning? or ML3. > Our lab created a ML3 contributor website that has fallen behind over the years (http://ml3.acadiau.ca/) being replaced by material on our current lab website http://mlrl.acadiau.ca/ and by ResearchGate websites such as -https://www.researchgate.net/profile/Daniel_Silver > > The L2L and ML3 titles lasted well into the first decade of the 2000s and was used at the second NIPS workshop on the subject ?Inductive Transfer : 10 Years Later?. Seehttp://socrates.acadiau.ca/courses/comp/dsilver/Share/2005Conf/NIPS2005_ITWS/Website/index.htm > > Along the way Mark Ring has distinquished ?Continual Learning? in the Reinforcement Learning paradigm as a process of learning ever more complicated skills by building on those skills already developed. See > https://www.cs.utexas.edu/~ring/Diss/index.html and his new companyhttp://www.cogitai.com/ > > Around about 2010, Eric Eaton and others started to use the term ?Lifelong Machine Learning? or LML which many people have come to like. Please see Eric?s webpage for some of the work he has been involved inhttps://www.seas.upenn.edu/~eeaton/research.html > > So given that we have the well-used term ?Lifelong Machine Learning? and that the name has changed a few times already, I really do not cherish the community moving toward yet another permutation of the three words ?Lifelong?, ?Machine?, and ?Leaning?, unless it is really a different research area ? In which case, I would ask that we use a significantly different monicker. I make my case for sticking with the title ?Lifelong Machine Learning? with the list of its uses shown below my signature. > > Note that a new research theme is starting to be used that brings together machine learning and knowledge representation to solve one of the Big AI problems. The problem is how to the learn background knowledge so it can be used for reason and the new title is ?Lifelong Machine Learning and Reasoning?. > Recently, I created a ResearchGate project which is gaining followers > https://www.researchgate.net/project/Lifelong-Machine-Learning-and-Reasoning > > .. Danny > > ========================== > Daniel L. Silver > Professor and Acting Director, Jodrey School of Computer Science > Director, Acadia Institute for Data Analytics > Acadia University, > Office 314, Carnegie Hall, > Wolfville, Nova Scotia Canada B4P 2R6 > > t. (902) 585-1413 > f. (902) 585-1067 > > acadiau.ca > Facebook Twitter YouTube LinkedIn Flickr > > > > In recent years, there has come to exist a wide variety of websites that are currently using ?Lifelong Machine Learning? including those related to: > > Books: > https://www.cs.uic.edu/~liub/lifelong-machine-learning.html > > Papers: > Lifelong machine learning: a paradigm for continuous learning > http://www.aaai.org/ocs/index.php/SSS/SSS13/paper/viewFile/5802/5977 > http://dl.acm.org/citation.cfm?id=2433459 > https://pdfs.semanticscholar.org/fb24/b6917eb42ccbf354371ee9565a3014b51e7c.pdf > https://cs.byu.edu/colloquium/sentiment-analysis-and-lifelong-machine-learning > https://scholar.google.com/citations?user=Z_vWXgsAAAAJ&hl=en > > Popular Press Articles: > https://www.weforum.org/agenda/2017/01/lifelong-machine-learning/ > http://www.rollproject.org/lifelong-machine-learning-systems-optimisation/ > > Videos: > https://www.youtube.com/watch?v=wc2xn4g1-uU > > Courses: > https://www.cs.uic.edu/~liub/lifelong-learning.html > > Tutorials and Workshops: > https://www.cs.uic.edu/~liub/IJCAI15-tutorial.html > https://www.seas.upenn.edu/~eeaton/AAAI-SSS13-LML/ > http://repository.ust.hk/ir/Record/1783.1-73755 > https://bigdata.cs.dal.ca/news/2014-06-09-000000/seminar-lifelong-machine-learning-and-reasoning > > Research Websites: > http://mlrl.acadiau.ca/ > https://www.cs.uic.edu/~liub/lifelong-learning.html > https://www.seas.upenn.edu/~eeaton/research.html > https://jaimefernandezdcu.wordpress.com/2016/10/24/lml/ > > ++++++++ +++++++++ ++++++++++ > > From: Connectionists on behalf of Hava Siegelmann > Date: Sunday, April 16, 2017 at 1:57 PM > To: "connectionists at mailman.srv.cs.cmu.edu" > Subject: Re: Connectionists: Lifelong Learning Machines - Call for Grants > > Dear Connectionists, it was a typo, Lifelong Learning Machine is NOW AVAILABLE - please read, get together and apply. > We have the chance to start a new chapter of AI. > > Hava > > > On Fri, Apr 14, 2017 at 5:41 PM, Hava Siegelmann wrote: >> Dear Friends >> >> Lifelong Learning Machines (L2M) call for proposals (or in DARPA lingo BAA (Broad agency announcement)) is not available online from the DARPA portal >> >> Note that there is also a link for teaming to enable create small groups is you are looking for collaborators. >> >> Note that DARPA programs are once in a lifetime rather than NSF/NIH with repeating ideas. So start reading and prepare your applications on time. >> >> >> All the best and much luck - >> >> Hava Siegelmann >> >> > From veronica.bolon at udc.es Thu Apr 20 04:24:48 2017 From: veronica.bolon at udc.es (=?utf-8?Q?Ver=C3=B3nica_Bol=C3=B3n?=) Date: Thu, 20 Apr 2017 10:24:48 +0200 Subject: Connectionists: CFP for Information Special Issue on Feature Selection for High-Dimensional Data Message-ID: [Apologies if you receive multiple copies of this CFP] Call for papers: Special Issue on ?Feature Selection for High-Dimensional Data? in the journal Information (ISSN 2078-2489). This special issue belongs to the section ?Artificial Intelligence?. - http://www.mdpi.com/journal/information/special_issues/feature_selection_data Guest Editors: Veronica Bolon-Canedo, Noelia Sanchez-Maro?o, Amparo Alonso-Betanzos (Universidade da Coru?a, Spain) Feature selection has been embraced as one of the high activity research areas during the last few years, because of the appearance of datasets containing hundreds of thousands of features. Therefore, feature selection was deemed as a great tool to better model the underlying process of data generation, as well as to reduce the cost of acquiring the features. Furthermore, from the Machine Learning perspective, given that feature selection can reduce the dimensionality of the problem, it can be used for maintaining or even improving the algorithms? performance, while reducing computational costs. Nowadays, the advent of Big Data has brought unprecedented challenges to machine learning researchers, who now have to deal with huge volumes of data, in terms of both instances and features, making the learning task more complex and computationally demanding than ever. Specifically, when dealing with an extremely large number of features, learning algorithms? performance can degenerate due to overfitting; learned models decrease their interpretability as they become more complex; and speed and efficiency of the algorithms decline in accordance with size. A vast body of feature selection methods exists in the literature, including filters based on distinct metrics (e.g., entropy, probability distributions or information theory) and embedded and wrapper methods using different induction algorithms. However, some of the most used algorithms were developed when dataset sizes were much smaller, and nowadays they cannot scale well, producing a need to readapt these successful algorithms to be able to deal with Big Data problems. In this Special Issue, we invite investigators to contribute with their recent developments in feature selection methods for high-dimensional settings, as well as review articles that will stimulate the continuing efforts to understand the problems usually encountered in this field. Topics of interest include, but are not limited to: New feature selection methods Ensemble methods for feature selection Feature selection to deal with microarray data Parallelization of feature selection methods Missing data in the context of feature selection Feature selection applications Manuscript Submission Information Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website . Once you are registered, click here to go to the submission form . Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. IMPORTANT DATES: Paper submission deadline: 31 October 2017 Ver?nica Bol?n Canedo, PhD Grupo LIDIA Departamento de Computaci?n Facultad de Inform?tica Universidade da Coru?a Campus de Elvi?a, s/n 15071 - A Coru?a, Spain Phone: +34 981 167150 Ext. 6007 Fax: +34 981 167160 e-mail: veronica.bolon at udc.es http://www.lidiagroup.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From tarek.besold at googlemail.com Thu Apr 20 05:32:00 2017 From: tarek.besold at googlemail.com (Tarek R. Besold) Date: Thu, 20 Apr 2017 10:32:00 +0100 Subject: Connectionists: Final CfP: Computational Analogy 2017 @ ICCBR-17 -- submission deadline on Monday, April 24, 2017 Message-ID: <00a401d2b9b8$f6902ad0$e3b08070$@gmail.com> == COMPUTATIONAL ANALOGY 2017: Workshop at the International Conference on Case-Based Reasoning (ICCBR 2017) == Where & when: Trondheim, Norway, June 26-28, 2017 Website: https://iccbr-ca2017.limsi.fr !!! SUBMISSIONS DUE ON MONDAY, APRIL 24, 2017 !!! == Workshop Description == Computational Analogy and Case-Based Reasoning (CBR) are closely related research areas. Both employ prior cases to reason in complex situations with incomplete information. Analogy research often focuses on modeling human cognitive processes, the structural alignment between a case/source and target, and adaptation/abstraction of the analogical source content. While CBR research also deals with alignment and adaptation, the field tends to focus more on retrieval, case-base maintenance, and pragmatic solutions to real-world problems. However, despite their obvious overlap in research goals and approaches, cross communication and collaboration between these areas has been progressively diminishing. CBR and Analogy researchers stand to benefit greatly from increased exposure to each other?s work and greater cross-pollination of ideas. The objective of this workshop is to promote such communication by bringing together researchers from the two areas, to foster new collaborative endeavors, to stimulate new ideas and avoid reinventing old ones. == Topics of interest == Topics of interest include, but are not limited to: + General analogical reasoning techniques --- Adaptation --- Alignment-based explanation/evaluation --- Analogical distance --- Analogical proportions in formal concept analysis --- Analogical proportions in mathematical structures --- Analogy in numerical settings --- Compound analogy --- Constructing alignments and mappings --- Feature-based models of analogy and analogical reasoning --- Logic-based models of analogy and analogical reasoning --- Modality of representation of case/analogical source --- The role of expertise in analogical reasoning --- Segmenting and constructing cases for alignment --- Solution-based vs. Problem-based approaches --- Structural models of analogy and analogical reasoning --- Types of analogical transfer/mapping --- Analogical retrieval + Analogical retrieval --- Data mining techniques --- Data sources for cases/analogies --- Feature-based vs. structural retrieval --- Indexing --- Repository-based approaches + Analogical generalization --- Analogical abstraction --- CBR and Analogy using generalizations or schemas --- Constructing generalizations --- Cross-discipline translation of concepts/vocabulary + Applications: Computational Analogy for --- Cognitive Modeling --- Computational Creativity --- Computational Design --- Decision-making for robotics or virtual agents --- Knowledge capture + Frontiers in Computational Analogy --- Assessing models of Computational Analogy --- Connections to Professional Practice in Engineering and Design --- Hybrid models --- Theoretical foundations of Computational Analogy == Organizing Committee == - Fadi Badra (badra at univ-paris13.fr), Universit? Paris 13, Paris (France) (Co-chair) - Tarek Besold (Tarek.Besold at uni-bremen.de), University of Bremen (Germany) (Co-chair) - Joseph Blass (joeblass at u.northwestern.edu), Northwestern University (USA) - Tesca Fitzgerald (tesca.fitzgerald at cc.gatech.edu), Georgia Institute of Technology (USA) - Vincent Letard (vincent.letard at limsi.fr), LIMSI (France) == Participation == The workshop will be held as part of the ICCBR 2017 conference in Trondheim, Norway (June 26-28th, 2017). The workshop is open to all interested conference participants. We welcome longer submissions (up to 10 pages), as well as shorter submissions for work in progress or position papers. Papers will be reviewed by qualified reviewers drawn from the workshop?s Program Committee, and the Program Committee will select amongst the submitted papers for oral presentation. We also encourage those who do not want to submit a paper to attend, as one of the primary goals of the workshop is to foster greater communication and cross-pollination of ideas amongst Computational Analogy and CBR researchers. == Submissions == Paper submissions should be formatted using the ICCBR Conference format, but with a maximum of 10 pages in length (including references). Shorter submissions (max 5 pages), such as work in progress or position papers, are also welcome. Authors will be required to submit their papers through the workshop submission website. Workshop submission website : https://easychair.org/conferences/?conf=cawiccbr17 == Important dates == Submission deadline : April 24th, 2017 Notification of acceptance : May 8th, 2017 Camera-ready paper : May 29th, 2017 -------------- next part -------------- An HTML attachment was scrubbed... URL: From A.Soltoggio at lboro.ac.uk Thu Apr 20 09:09:04 2017 From: A.Soltoggio at lboro.ac.uk (Andrea Soltoggio) Date: Thu, 20 Apr 2017 14:09:04 +0100 Subject: Connectionists: Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Neural Networks Message-ID: Dear connectionists, We would like to draw your attention to a new review paper titled: Born to Learn: the Inspiration, Progress, and Future of Evolved Plastic Neural Networks https://arxiv.org/abs/1703.10371 which is centred particularly on the topic of evolving to learn, or learning to learn, a theme that is gathering momentum in machine learning, see e.g. the DARPA Lifelong Learning Machines (L2M). After the inspiration principles, the paper reviews studies that have evolved plastic neural networks. We would like to make sure all studies on this topic are included, so if you are aware of any we forgot, please send us an email with a bibtex reference and a short explanation, and we'll consider its relevance. Please note that, given the wide scope of the review, we are will be able to consider for inclusion only studies that evolved plastic networks. Regards, Andrea Soltoggio and Sebastian Risi -- Dr. Andrea Soltoggio Lecturer in Artificial Intelligence Department of Computer Science, Centre for Data Science, Centre for Information Management Haslegrave Building, N.2.03 Loughborough University LE11 3TU, UK Phone: +44 (0) 1509 635748 Email: a.soltoggio at lboro.ac.uk Twitter: @asoltoggio Web: http://www.lboro.ac.uk/departments/compsci/staff/dr-andrea-soltoggio.html -------------- next part -------------- An HTML attachment was scrubbed... URL: From antonior at ffclrp.usp.br Thu Apr 20 10:04:29 2017 From: antonior at ffclrp.usp.br (Antonio C. Roque) Date: Thu, 20 Apr 2017 11:04:29 -0300 Subject: Connectionists: Postdoctoral fellowships at the Neuromathematics Center in Sao Paulo State, Brazil Message-ID: The Research, Innovation and Dissemination Center for Neuromathematics (NeuroMat), hosted by the University of S?o Paulo, Brazil, and funded by FAPESP (S?o Paulo Research Foundation), is offering several postdoctoral fellowships for recent PhDs with outstanding research potential. The research will involve collaborations with experimental and theoretical groups and laboratories associated to NeuroMat and may be developed at USP S?o Paulo, USP Ribeir?o Preto or Unicamp Campinas. We seek candidates capable to develop independent research in one of the research lines below. *1. *Stochastic and/or computational modeling of the brain functioning. *2. *Acquisition, processing and quantitative analysis of electrophysiological data. Candidates to the first research line are required to have at least one of the profiles below: - A strong background in probability theory with emphasis on stochastic processes. Previous knowledge of rigorous statistical mechanics or random graphs will be favorably considered. - A strong mathematical and/or computational background and experience with computers and programming. Previous experience with development and/or simulation of neural brain models, complex networks and parallel computing will be favorably considered. Candidates to the second research line are required to have at least one of the profiles below: - A strong background in neuroscience with previous experience in neurophysiological data acquisition, processing and analysis and knowledge of computer programming. Previous experience with multidisciplinary research teams is welcome. - A strong background in computer science with experience in the development of algorithms, software tools and data bases. Previous research experience in neuroscience or related areas will be favorably considered. The initial appointment is for one year, with a possible extension to up to four years, conditional on research progress. The fellowship is competitive at international level, and fellows benefit from extra funds for travel and research expenses plus limited support for relocation expenses. *Application Instructions*Applicants should complete and submit the application form at *neuromat.numec.prp.usp.br/postdoc-form *. The following documents and information are requested (please see the form for further details): - Summary of the CV, in the FAPESP format (see *fapesp.br/en/6351 * for instructions). - List of publications, with links to those available online. - A summary of your research plan for the next year, up to 5 pages length. It should explicitly address its place in the framework of the NeuroMat mission and research program. - Pointers to other research related output, such as software, web pages, and so forth. Candidates should be willing to send copies of publications, if requested. - Any further information deemed relevant to the application. In addition to the above, we require at least 2 recommendation letters. Those should be mailed by the recommenders directly to *postdoc-appl at numec.prp.usp.br *. Candidates are encouraged to apply at their earliest convenience. Two independent evaluation rounds are planned, each one over then current applications: *1. *On May 05, 2017. *2. *On May 29, 2017. Appointments are expected to start between July 1 and August 1, 2017. This opportunity is open to candidates of any nationalities. The selected candidate will receive a FAPESP's Post-Doctoral fellowship in the amount of R$ 6.819,30 monthly and a research contingency fund, equivalent to 15% of the annual value of the fellowship which should be spent in items directly related to the research activity. More information about the fellowship can be seen at: *www.fapesp.br/en/5427 *. -- Dr. Antonio C. Roque Professor Associado Departamento de Fisica FFCLRP, Universidade de Sao Paulo 14040-901 Ribeirao Preto-SP Brazil - Brasil E-mails: antonior at ffclrp.usp.br aroquesilva at gmail.com URL: www.sisne.org Tels: +55 16 3315-3768 (sala/office); +55 16 3315-3859 (lab) FAX: +55 16 3315-4887 -------------- next part -------------- An HTML attachment was scrubbed... URL: From sophon at sugano.mech.waseda.ac.jp Thu Apr 20 09:44:05 2017 From: sophon at sugano.mech.waseda.ac.jp (Sophon SOMLOR) Date: Thu, 20 Apr 2017 22:44:05 +0900 Subject: Connectionists: [meetings] Deadline Extension & Special Issue: ICRA'17 Full-Day Workshop on The Robotic Sense of Touch: From Sensing to Understanding Message-ID: -------------------------------------------- Due to several requests, we would like to inform that the submission deadline of our workshop will be extended as follow. ****Important Dates (Extended)****: Paper submission deadline: *5 May 2017* Notification of acceptance: *9 May 2017* -------------------------------------------- We are planning to organize a special issue in a top journal where extended version of the accepted submission will be invited to participate. -------------------------------------------- Dear Colleagues, We are calling for contributions on our ICRA 2017 workshop on "The Robotic Sense of Touch: From Sensing to Understanding" This workshop aims to bring together experts in the fields of tactile sensor design, tactile data analysis, machine learning and cognitive modeling to share their knowledge, through a mix of oral presentations, round-table discussions, poster sessions and live demonstrations. ***Call for contributions*** We are soliciting the submission of extended abstracts **(1-3 pages PDF, IEEE template, optional videos)* to *rsot.icra2017 at gmail.com* *. **The submission deadline is extended to 5 May 2017**. Furthermore, we particularly call for live demonstrations to be presented on the workshop day. We encourage researchers as well as companies (both hardware and software companies) to contribute to the workshop. Accepted submissions will be presented during the ?Demonstrations and poster session? of the workshop. Selected submissions will be given time for oral presentations (15 minutes including Q&A). Please indicate in your email if you want to present as a poster, oral, and/or live demonstration. ****Important Dates (Extended)****: Paper submission deadline: *5 May 2017* Notification of acceptance: *9 May 2017* Workshop day: 29 May 2017 Abstract: This workshop (https://roboticsenseoftouchws.wordpress.com) focuses on the development of novel tactile sensors (i.e. the bodyware) and how they can contribute to robot intelligence (i.e. the mindware). Robots need touch to interact with the surroundings (humans and/or objects) safely and effectively, to learn about the outside world and to develop self-awareness. To achieve these goals, the artificial skin of the next generation should measure temperature, vibration, proximity and the complete force vectors on multiple contact points; also, it should be both soft and robust to facilitate long-term interactions. Still, major challenges are posed by the need to analyze and interpret massive amounts of data in a fast and accurate way, and to combine such sensing information with other cognitive and perceptual processes to achieve real understanding. While advanced computational techniques (e.g. deep learning, Bayesian inference) can critically improve data representations, bio-inspired strategies for multimodal integration, prediction and reasoning seem to be necessary as well to revolutionize the robotic sense of touch. Therefore, the goal of this workshop is to discuss if and how the recent advancements in tactile technology and data analysis have been accompanied by an increased understanding of the ways in which tactile perception can support robot autonomy and cognition. Content: Part of human intelligence comes from using the sense of touch to explore the own-body and learn about the world. Similarly, a humanoid robot can use tactile sensing to learn about itself and its surroundings, and to improve its ability in interacting with humans and objects. Indeed, there has been a remarkable progress in tactile sensors for robotics. Several robotic platforms and hands are equipped with sensors which allow measuring pressure, proximity and temperature; also, novel technologies (soft, small, distributed, stretchable sensors) can be used to cover the entire body of a humanoid. These sensors can allow robots to actively explore objects and extract information which is hidden or difficult to extract from vision, like texture, material and weight; however, this requires the development of appropriate learning strategies which incorporate explorative behaviors, signal processing and machine learning. Topics of interest include, but are not limited to: - Multimodal distributed skin sensors; - Modular skin sensors; - Force sensing; - Soft/flexible/stretchable sensors; - Large-scale data processing of tactile information; - Use of tactile data for interaction control, tactile servoing, tactile feature recognition, object handling; - Integration of touch with other sensing modalities (e.g. vision, inertial sensing); - Whole-body multiple contact behaviors of humanoid robots; - Predictive models for touch perception; - Slip prediction, detection and control; - Tactile sensing for self-contact, self-perception and self-calibration in humanoid robots; - Haptic representations of objects and their affordances. Organizers: Sophon Somlor (contact person), Waseda University Alexander Schmitz, Waseda University Lorenzo Jamone, The Queen Mary University of London Lorenzo Natale, Istituto Italiano di Tecnologia Gordon Cheng, Technical University of Munich ***URL*** https://roboticsenseoftouchws.wordpress.com/ ================================================ Dr. Sophon Somlor Junior Researcher Top Global University Project Unit for Frontier of Embodiment Informatics?ICT and Robotics Faculty of Science and Engineering Waseda University ????? ????? ??????????????? ICT????????? ????? ???? ???? ================================================ -------------- next part -------------- An HTML attachment was scrubbed... URL: From giampi at kth.se Thu Apr 20 11:35:04 2017 From: giampi at kth.se (Giampiero Salvi) Date: Thu, 20 Apr 2017 15:35:04 +0000 Subject: Connectionists: Call for papers: First International Workshop on Grounding Language Understanding (GLU 2017) Message-ID: <6f9b7f154e894f56af8ddc25394e2bd6@exdb05.ug.kth.se> Call for papers GLU 2017 ==================== Apologies for cross posting. Please forward to your colleagues and peers. The **First International Workshop on Grounding Language Understanding (GLU 2017)** will be held at KTH Royal Institute of Technology, Sweden, on August 25, 2017. http://www.speech.kth.se/glu2017/ The purpose of this workshop is to bring together researchers from different disciplines (linguistics, language, robotics, systems neuroscience, cognitive science, signal processing, etc.) working with modeling different aspects of grounding language acquisition and understanding. Although speech and language technology have reached a level of maturity, machines still fall short of human performance, especially when considering flexibility and robustness. It is therefore desirable to extend the machine learning approach which has been applied to speech and language technology, and emulate more closely the way humans and living systems acquire language. Desirable properties of the new learning approaches would include: * being less dependent on annotated data, * acquiring knowledge from multimodal inputs (acoustic, visual, tactile), * learning from interaction, * relating learning to the situational context, * grounding language in the perceptual, emotional and sensorimotor experience of the agent This requires a highly multidisciplinary approach, combining the field of human language processing, speech technology, machine learning, developmental robotics and cognitive and systems neuroscience. Confirmed keynote speakers: ======================== * Emmanuel Dupoux, ?cole des Hautes Etudes en Sciences Sociales, Paris, France. * Katerina Pastra, Cognitive Systems Research Institute, Athens, Greece Scientific Area Topics ================= * Language Learning via Grounded Dialogue * Language Generation for Embodied Tasks * Grounded Knowledge Representations * Skill Learning via Interactive Dialogue * Aligning and Translating Language to Situated Actions * Instructions for Navigation/Articulation/Manipulation * Mapping Language and World * Grounded Reinforcement Learning * Language-based Game Playing for Grounding * Structured and Deep Learning Models for Embodied Language * New Datasets for Embodied Language * Better Evaluation Metrics for Embodied Language Important Dates ============= Paper Submission: **Wednesday, 31 May 2017** Paper Notification Acceptance: **Wednesday, 28 June 2017** Publication of Full Programme: **Wednesday, 12 July 2017** Camera-ready Paper Due: **Wednesday, 26 July 2017** Registration Deadline: **Wednesday, 2 August 2017** Workshop: **Friday, 25 August 2017** Submission and Format =================== We invite original submissions from 3 pages including references to 4 pages of text, plus one page (maximum) for references in the INTERSPEECH format. Each submission will be reviewed by at least two members of the Scientific Review Committee. Submit your paper through EasyChair: https://easychair.org/conferences/?conf=glu2017 Proceedings and Publication ======================= Accepted papers will be published in the open access GLU2017 (indexed) proceedings. Registration ========== We are trying to keep the costs as low as possible. Registration fees should be around 150?. These will include the lunch, coffee breaks and the evening dinner on the day of the workshop. Sponsors ======== GLU2017 is supported by the CHIST-ERA/IGLU consortium and is an ISCA sponsored event and a satellite event for Interspeech 2017 in Stockholm. MORE Details at the workshop website: http://www.speech.kth.se/glu2017/ -- Giampiero Salvi Associate Professor Director of the Master's Programme in Machine Learning KTH Royal Institute of Technology, School of Computer Science and Communication, Stockholm, Sweden. https://www.kth.se/profile/giampi/ From mathis.richter at ini.rub.de Thu Apr 20 12:20:25 2017 From: mathis.richter at ini.rub.de (Mathis Richter) Date: Thu, 20 Apr 2017 16:20:25 +0000 Subject: Connectionists: Summer school: Neural dynamics for cognitive robotics, Bochum, Germany Message-ID: Please forward this advertisement to whoever you think might be interested. Thanks, Mathis Richter --- Summer School on: NEURONAL DYNAMICS FOR COGNITIVE ROBOTICS held August 28 - September 1, 2017 at the Institute for Neural Computation, Ruhr-University Bochum in Germany, coordinated by Prof. Dr. Gregor Sch?ner. Neuronal dynamics provide a powerful theoretical language for the design and modeling of embodied and situated cognitive systems. This school provides a hands-on and down-to-earth introduction to neuronal dynamics ideas and enables participants to become productive within this framework. The school is aimed at advanced undergraduate or graduate students, postdocs and faculty members in embodied cognition, cognitive science and robotics. The school combines tutorial lectures in the mornings with hands-on projects working with robotic systems. Participants will develop their own modeling project, which will connect to their ongoing doctoral or postdoctoral research. Topics addressed include: neural dynamics, attractor dynamics and instabilities, dynamic field theory, neuronal representations, artificial perception, simple forms of cognition including detection and selection decisions, memory formation, learning, and grounding relational concepts. For more information see: https://www.dynamicfieldtheory.org/summerschool To apply, please send a CV and a short cover letter with background and motivation to mathis.richter at ini.rub.de Selection of participants will begin by June 15, 2017. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: summer_school_bochum_2017.pdf Type: application/pdf Size: 6803875 bytes Desc: not available URL: From jef.wijsen at umons.ac.be Fri Apr 21 02:37:05 2017 From: jef.wijsen at umons.ac.be (Jef Wijsen) Date: Fri, 21 Apr 2017 08:37:05 +0200 Subject: Connectionists: Tenure Track Faculty Position in Big Data Analytics Message-ID: <3d4f1d52-884d-81a8-91c4-d8687e2059fc@umons.ac.be> ------------------------------------------------------------------------- Call for Applications for a Tenure Track Faculty Position in Computer Science Department of Informatics University of Mons, Mons (Belgium) ------------------------------------------------------------------------- The Department of Informatics of the Faculty of Science at the University of Mons (Mons, Belgium) invites applications for a tenure-track faculty position in computer science, with special emphasis on big data analytics. The position is at the level of 'charg? de cours' (assistant professor). The expected starting date for the position is October 1, 2018. Qualified candidates must have a doctorate in disciplines related to computer science or computer engineering, and should have a strong commitment to teaching and an outstanding research record in applied aspects of big data analytics. The selected person should collaborate with existing research groups of the department and be active in fundraising for industrial and governmental projects. Candidates should be able to fulfil teaching duties in the French language after two years. Teaching duties are on both the undergraduate and graduate level, and include novel courses in the candidate's domain of expertise. The University of Mons is a university located in the French community of Belgium with about 8000 students. Information about the Department of Informatics can be found at http://informatique.umons.ac.be/. Applications should be sent by email to Prof. Dr. V?ronique Bruy?re (veronique.bruyere at umons.ac.be), Department Head. We encourage candidates to apply from now on. Applications must be submitted as PDF files, which include a cover letter, curriculum vitae, a one-page statement of teaching interests, a one-page statement of research interests in big data analytics, and names and contact information of at least three references. Following their application, candidates will be informed in due time about the further application procedure. The most up to date information about the position and the application procedure will be maintained at http://informatique.umons.ac.be/job_offers/. From demian.battaglia at univ-amu.fr Fri Apr 21 05:37:23 2017 From: demian.battaglia at univ-amu.fr (Demian Battaglia) Date: Fri, 21 Apr 2017 11:37:23 +0200 Subject: Connectionists: PhD opening - Decoding movement goals and muscle activation patterns from neural activity Message-ID: Dear all, We are seeking for candidates for a PhD fellowship on the topic: Decoding movement goals and muscle activation patterns from neural activity This project will be co-directed by Bjorg Kilavik (Timone Neuroscience Institute) and Demian Battaglia (Institute for Systems Neuroscience) at Aix-Marseille University, awarded the prestigious status of "Excellence Initiative" (A*MIDEX) by the French Government and considering interdisciplinary studies as one of its main axes of growth. The cerebral cortex is organized into multiple layers comprising largely distinct distributions of incoming and outgoing anatomical projections. It is not clear however which of these layers is the better target for Brain Machine Interface (BMI) applications aiming at driving screen cursors or robotic prostheses via the decoding of motor plans and commands from motor cortical activity. In this project, we will start by determining the availability of information about movement goal vs. muscle activation patterns in different motor cortical layers, by doing offline decoding of existing and future higher-quality laminar data recorded in NHPs. In parallel, we will build an online BMI setup for further experiments, coupled with a NHP upper limb exoskeleton already on site. We will first use information theory approaches to systematically compare the amount of information relevant for different applications that can be potentially extracted from different laminar depths (superficial vs. deep) and/or types of signal (spike trains, local field potentials). Based on these offline analyses, we will then design optimized fast-to-compute features suitable for online decoding. These results will allow us to optimise the harvesting of signals and their use for motor BMI applications. The englobing experimental research program is ongoing, and essential equipment is already in place. When the student arrives, data is already available for analyses, and recordings will immediately start in a newly trained animal. The two supervisors are highly complementary, with renowned expertise in experimental (Kilavik) and computational (Battaglia) approaches, and can therefore provide a solid support for the student to succeed in this highly demanding project. Candidate profile: Candidates with a background in biology, neuroscience, physics or engineering are particularly encouraged to apply. The work will combine experimental and computational approaches, with adequate supervision from the highly complementary supervisors. This project provides an excellent opportunity to gain solid multidisciplinary training at the forefront of integrative neurosciences. ****************************************************************************************************************************************** The scholarships are open to Master graduate students from top ranked non-French universities. ****************************************************************************************************************************************** The application must include : ? a detailed curriculum ? a letter of motivation ? two recommandation letters (the referee should use the template ?phd evaluation form? ) ? the template ?choice of research projects? (applicants must select and rank two of the proposed research projects) Applications should be sent before May 21st, 2017 at midnight (French time). ****************************************************************************************************************************************** The application must be posted on the website of the Aix-Marseille University Integrative and Clinical Neuroscience PhD program: http://neuro-marseille.org/en/phd-program-en/call-for-applicants/ well indicating the chosen project number (Research project # 14 for the project described above) NB: on the same site applications for many other PhD projects can be filed, see here: http://neuro-marseille.org/wp-content/uploads/2016/12/liste-research-project.pdf The ICN PhD program selection committee will shortlist 10 students that will be individually interviewed in June. The students are encouraged to prepare their interviews with the project leaders they have selected. The final decision will be known shortly after the interviews and three successful candidates will start their PhD studies between October and December 2017. Within this programme, the PhD fellows will sign a three-year work contract. They will enrol the ICN PhD program offering personalized follow-up to the students, a wide spectrum of scientific and professional training activities including specialized courses and career development activities and interactions with multi-disciplinary researchers at Aix-Marseille University and top world-wide visiting speakers, in a vibrant international community of students. For further information and expression of interest feel free to contact: Demian Battaglia (demian.battaglia at univ-amu.fr) and Bjorg Kilavik (bjorg.kilavik at univ-amu.fr) -------------- next part -------------- An HTML attachment was scrubbed... URL: From samarasinghe at ini.rub.de Fri Apr 21 04:15:18 2017 From: samarasinghe at ini.rub.de (samarasinghe at ini.rub.de) Date: Fri, 21 Apr 2017 10:15:18 +0200 Subject: Connectionists: Neural Networks - Postdoc Position - Ruhr University, Bochum, Germany - Deadline extended! Message-ID: The deadline for the position below has been *extended *until *07.05.2017*. Pending funding approval, Prof. Sen Cheng in the Institute for Neuroinformatics at Ruhr University Bochum, invites applications for a full time position of *Postdoctoral Scholar (TV-L E13) in Computational Neuroscience*. The position starts on 1st July 2017 and is funded for 3 years. The research focuses on the neural bases of episodic memory and spatial navigation in rodents, including the development of quantitative models of the hippocampus. Further information can be found at https://www.ini.rub.de/research/groups/computational_neuroscience/. The working language at the institute is English. There is no teaching obligation. *Your Profile:* Candidates should have an excellent degree in neuroscience, physics, mathematics, engineering, or a related field. Competence in mathematical modeling, and excellent programming skills (e.g. Python, C/C++, Matlab) are mandatory. Experience with interdisciplinary research in integrative neuroscience and cognitive science and with collaborative research would be a further asset. Please send your applications, including CV, transcripts and research statement electronically, as a single PDF file, to samarasinghe at ini.rub.de by 07.05.2017. Please quote the job ID number *BO-2017-03-17-108925.* In addition, at least two academic references may be sent independently to the above email address. Travel costs for interviews will not be reimbursed. The Ruhr-University Bochum provides a dynamic research environment in neuroscience and cognitive science. The Institute for Neural Computation unifies various core competencies extending from experimental and theoretical neuroscience to machine learning and robotics. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. Contact person: Vinita Samarasinghe -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut f?r Neuroinformatik Ruhr-Universit?t Bochum, NB 3/26 Universit?tstr. 150 D-44780 Bochum Tel: +49 (0)234 32 27316 Email: samarasinghe at ini.rub.de Hours: Monday 9-12 & 14-16; Friday 9-12 & 14-16; Wednesday 12 - 16 -------------- next part -------------- An HTML attachment was scrubbed... URL: From samarasinghe at ini.rub.de Fri Apr 21 04:13:48 2017 From: samarasinghe at ini.rub.de (samarasinghe at ini.rub.de) Date: Fri, 21 Apr 2017 10:13:48 +0200 Subject: Connectionists: Data Analysis - Postdoc Position - Ruhr University Bochum, Germany - Deadline Extended In-Reply-To: <8f2ab22f-9047-1a57-137a-0600aa7b8d50@ini.ruhr-uni-bochum.de> References: <8f2ab22f-9047-1a57-137a-0600aa7b8d50@ini.ruhr-uni-bochum.de> Message-ID: <7ceac8cb-812f-0dce-4db7-e09db17e687e@ini.ruhr-uni-bochum.de> The deadline for the position below has been *extended *until *07.05.2017*. Pending funding approval, Prof. Sen Cheng in the Institute for Neuroinformatics at Ruhr University Bochum, invites applications for a full time position of *Postdoctoral Scholar (TV-L E13) in Computational Neuroscience*. The position starts on 1st July 2017 and is funded for 3 years. *Job description* Analyze the learning dynamics in neural and psychophysiological data as well as behavioral data that will be collected by other projects within the framework of a collaborative research group. Comparing the learning dynamics between individuals, species, learning phases and learning paradigms. Develop algorithms to analyze the learning dynamics. Coordinate research with other participating projects. Further information can be found at https://www.ini.rub.de/research/groups/computational_neuroscience/. The working language of the institute is English. There is no teaching obligation. *Your Profile:* Candidates should have an excellent degree in neuroscience, physics, mathematics, engineering, or a related field. Competence in mathematical modeling, and excellent programming skills (e.g. Python, C/C++, Matlab) are mandatory. In addition, relevant research experience in neuroscience or a related field is required. Experience in the study of learning dynamics and in working within a collaborative research group would be a further asset. Please send your applications, including CV, transcripts and research statement electronically, as a single PDF file, to samarasinghe at ini.rub.de by 07.05.2017. Please quote the job ID number *BO-2017-03-17-108926. *In addition, at least two academic references may be sent independently to the above email address. Travel costs for interviews will not be reimbursed. The Ruhr-University Bochum provides a dynamic research environment in neuroscience and cognitive science. The Institute for Neural Computation unifies various core competencies extending from experimental and theoretical neuroscience to machine learning and robotics. The Ruhr University Bochum is committed to equal opportunity. We strongly encourage applications from qualified women and persons with disabilities. Contact person: Vinita Samarasinghe -- Vinita Samarasinghe M.Sc., M.A. Science Manager Arbeitsgruppe Computational Neuroscience Institut f?r Neuroinformatik Ruhr-Universit?t Bochum, NB 3/26 Universit?tstr. 150 D-44780 Bochum Tel: +49 (0)234 32 27316 Email:samarasinghe at ini.rub.de Hours: Monday 9-12 & 14-16; Friday 9-12 & 14-16; Wednesday 12 - 16 -------------- next part -------------- An HTML attachment was scrubbed... URL: From geri at robot-learning.de Fri Apr 21 07:22:03 2017 From: geri at robot-learning.de (Gerhard Neumann) Date: Fri, 21 Apr 2017 12:22:03 +0100 Subject: Connectionists: [jobs] Post-Doc Position in Deep Learning for Autonomous Driving, University of Lincoln, UK Message-ID: Research Fellow in Deep Learning for Autonomous DrivingSchool of Computer Science*Location: *Brayford *Salary: * From ?32,004 per annum Fixed Term for approximately 1 year *Closing Date: * Sunday 21 May 2017 *Interview Date: * Tuesday 30 May 2017 *Reference: *COS413B We seek to employ a highly motivated post-doctoral researcher that will be working on a joint project with Toyota on the topic "Hierarchical Deep Learning for Autonomous Driving". You should hold a PhD or be near to completion, and should be able to demonstrate a good track record in at least one of the following research fields: - Deep Learning - Reinforcement Learning - Imitation Learning - Movement Primitives and Movement Representations - Variational Bayes and Hierarchical Bayesian Models The contract is for one year. If the project is successful it is likely to be extended by Toyota for several years. Once in post, you will be working with Professor Gerhard Neumann on the aforementioned research topics. The successful candidate will be a member of the Lincoln Centre for Autonomous Systems (L-CAS). The L-CAS is part of the School of Computer Science at the University of Lincoln and specialises in the integration of perception, learning, decision-making, control and interaction capabilities in autonomous systems and the application of this research in fields such as personal robotics, agri-food, healthcare, security, and intelligent transportation. The L-CAS is one of the fastest growing robotics groups in the UK. We provide a highly-dynamic inter-disciplinary research environment with a broad range of collaboration opportunities and a large variety of robots to work with. In this project, you will have access to sophisticated car simulators and real autonomous cars provided by Toyota Europe. The University of Lincoln is a forward-thinking, ambitious institution and you will be working in the heart of a thriving, beautiful, safe and friendly city. The School provides a stimulating environment for academic research, and is located on the picturesque waterfront campus in the historic and vibrant city of Lincoln. The University has just announced a ?130M investment programme, a significant part of which is being invested in new, purpose-built facilities for the School of Computer Science. Lincoln itself is a small but fast growing city in the east-midlands. It offers a fantastic life quality given by moderate living costs, a medivial city centre including a famous cathedral and a beautiful ancient canal system that is still in use by many house boats nowadays. If you would like to know more about this opportunity, please contact Professor Gerhard Neumann (Professor of Computational Learning for Autonomous Systems, gneumann at lincoln.ac.uk). Please apply at https://jobs.lincoln.ac.uk/Vacancy.aspx?id=1997&forced=1 . -- -- --------------------------------------------- Prof. Gerhard Neumann Chair of Computational Learning for Autonomous Systems School of Computer Science University of Lincoln Brayford Pool Lincoln, LN6 7TS -------------- next part -------------- An HTML attachment was scrubbed... URL: From rava at ens.fr Fri Apr 21 08:35:52 2017 From: rava at ens.fr (Rava A. da Silveira) Date: Fri, 21 Apr 2017 14:35:52 +0200 Subject: Connectionists: Wokshop on INFORMATION PROCESSING AND BEHAVIORAL VARIABILITY - Columbia Univ - 12 May 2017 Message-ID: Workshop website: http://econ.columbia.edu/workshop-information-processing-and-behavioral-variability WORKSHOP ON INFORMATION PROCESSING AND BEHAVIORAL VARIABILITY *Organizers: Rava da Silveira, Mark Dean and Michael Woodford* Columbia UNiversity - 1501 International Affairs Building, 420 West 118th Street, New York, NY 10027 The Program for Economic Research at Columbia University will sponsor a one-day interdisciplinary Workshop on Information Processing and Behavioral Variability, to be held on May 12, 2017. The Workshop aims to bring together economists, psychologists, neuroscientists and computer scientists who have a shared interest in understanding the gathering, storage and retrieval of information that occur when people make choices, and what this implies for the modeling of economic behavior. The morning session will be focused on models of the informational basis of decisions, with particular emphasis on implications of the need to represent an organism?s situation in a relatively compressed way, memory constraints, and the role of sampling from memory in decision making. The afternoon will instead focus on the causes of stochasticity in choice behavior, with attention both to ways in which randomness in choice may result from randomness in neural processes underlying choice, and ways in which it can result from information constraints, and will consider the degree to which such randomness limits the accuracy of decisions. *Session 1:** The Informational Basis of Behavior* *(Chair: Daphna Shohamy, Columbia)* 9:00-10:00: *Keynote lecture*: Randy Gallistel [Rutgers], "How Does Experience Shape Behavior? A Minimum-Description-Length Theory of Learning" 10:00-10:40: Arthur Robson [Simon Fraser], ?Adaptive Hedonic Utility? 10:40-11:10: Coffee break 11:10-11:50: Isabelle Brocas [USC], ?A Neuroeconomic Theory of Memory Retrieval? 11:50-12:30: Neil Stewart [Warwick], ?Decision by Sampling? 12:30-13:00: General discussion 13:00-14:00: Lunch break *Session 2:** Sources of Randomness in Behavior (Chair: Andrew Caplin, NYU)* 14:00-15:00: *Keynote lecture*: Pedro Ortega [Google DeepMind], ?Information-Theoretic Bounded Rationality? 15:00-15:40: Luminita Stevens [Maryland], ?Discrete Adjustment to a Changing Environment: Experimental Evidence? 15:40-16:10: Coffee break 16:10-16:50: Valentin Wyart [ENS, Paris], ?Shared Computational Origin of Human Choice Variability in Probabalistic Inference and Reward-Guided Learning? 16:50-17:30: Erin Rich [Icahn School], ?Dynamic Neural Signatures of Subjectivity in Choice" 17:30-18:00: General discussion 18:00: Adjourn -------------- next part -------------- An HTML attachment was scrubbed... URL: From Pavis at iit.it Fri Apr 21 08:34:04 2017 From: Pavis at iit.it (Pavis) Date: Fri, 21 Apr 2017 12:34:04 +0000 Subject: Connectionists: Open PhD call 2017 -- Italian Institute of Technology (Pattern Analysis & Computer Vision, PAVIS) and University of Genova In-Reply-To: <0E09F354EB71FC40A4D51EE54D8A9C8878BDAD48@IITMXWGE015.iit.local> References: <0E09F354EB71FC40A4D51EE54D8A9C8878BDAD48@IITMXWGE015.iit.local> Message-ID: <0E09F354EB71FC40A4D51EE54D8A9C8878BDAD5C@IITMXWGE015.iit.local> Open PhD call 2017 -- Italian Institute of Technology (Pattern Analysis & Computer Vision, PAVIS) and University of Genova PhD Course on SCIENCE AND TECHNOLOGY FOR ELECTRONICS AND TELECOMMUNICATION ENGINEERING, curriculum in "COMPUTATIONAL VISION, AUTOMATIC RECOGNITION AND LEARNING (CODE 6654)" Fondazione Istituto Italiano di Tecnologia (IIT - www.iit.it) together with the University of Genova opened the call for the 2017 Doctoral Course on Sciences & Technologies For Electronics & Telecommunication - Curriculum in Computer Vision, Pattern Recognition and Machine Learning (www.iit.it/phd-school). 7 PhD positions are available at the Pattern Analysis and Computer Vision (PAVIS) Dept. and at the Visual Geometry and Modeling Lab (VGM Lab) to work in Computer Vision, Pattern Recognition and Machine Learning, and more specifically on the following themes (for details see https://pavisdata.iit.it/data/phd2017/ResearchTopics_IIT-PAVIS.pdf): Theme A - Computer vision for behavioral analysis and activity recognition Theme B - Computer vision for the prediction of human intentions and activities Theme C - Part-based human body modeling for Socially-Aware Computer Vision Theme D - Crowd behavioral analysis and event recognition Theme E - Re-identification Theme F - Time-lapse Computer Vision for long-term 3D learning Theme G - 3D scene understanding and spatial reasoning for autonomous systems Theme H ? Biomedical Imaging Theme I ? Connectomics Theme L - Animal behavior analysis More info on the above research topics can be found at https://pavisdata.iit.it/data/phd2017/ResearchTopics_IIT-PAVIS.pdf or directly asked to Prof. V. Murino or Dr. Alessio Del Bue (pavis at iit.it), or any other tutor indicated in the list of themes. The PhD program on the listed themes will take place at the PAVIS department of Istituto Italiano di Tecnologia (IIT) located in Genova (www.iit.it). The department focuses on activities related to the analysis and understanding of images, videos and patterns in general, even multidisciplinary, in collaboration with other research groups in IIT. The PAVIS and VGM Lab staff has a wide expertise on computer vision and pattern recognition, machine learning, image processing, and related applications (mainly related to surveillance/security and biomedical tasks). For more information, you can also browse the PAVIS and VGM Lab webpages to see our activities and research at: http://pavis.iit.it/ and http://vgm.iit.it/ To apply, follow the instructions indicated at this link: http://www.studenti.unige.it/bando-di-ammissione-al-xxxiii-ciclo-del-dottorato-di-ricerca/ In short, the documentation to be submitted is: a detailed CV, a research proposal under one or more themes chosen among those above indicated (please, see also a project proposal template at the link indicated below), reference letters, and any other formal document concerning the degrees earned. Notice that these documents are mandatory in order to consider valid the application. IMPORTANT: In order to apply, candidates must prepare a research proposal based on the research topics above mentioned. Please, follow these indications to prepare it: https://pavisdata.iit.it/data/phd2017/ResearchProjectTemplate.pdf ONLINE APPLICATION DEADLINE is June 13th, 2017 at 12:00 p.m. (noon, Italian time/CET) ? STRICT DEADLINE, no extension. APPLICATIONS are possible through University of Genoa ONLINE PROCEDURE ONLY - http://www.studenti.unige.it/bando-di-ammissione-al-xxxiii-ciclo-del-dottorato-di-ricerca/ FURTHER INFO: http://www.studenti.unige.it/postlaurea/dottorati/ From malin.sandstrom at incf.org Fri Apr 21 05:55:59 2017 From: malin.sandstrom at incf.org (=?UTF-8?Q?Malin_Sandstr=C3=B6m?=) Date: Fri, 21 Apr 2017 11:55:59 +0200 Subject: Connectionists: Abstract submission for Neuroinformatics 2017 closes April 30! Message-ID: Dear all, abstract submission is open one more week for Neuroinformatics 2017, August 20-21 in Kuala Lumpur. Submit latest *April 30 *to join us for keynotes from top neuroscientists, poster- and demo sessions, and community sessions -- and maybe as speaker? The Program Committee will select 24 presentations ? 20 minutes from the submitted abstracts, within the program subjects below. Submit your abstract here: http://neuroinformatics2017.org/abstracts/ Questions? Please contact us on abstracts at incf.org *Program highlights **Speaker presentations*: http://neuroinformatics2017. org/speakers/ - *Informatics for brain modeling* Speakers: Randy McIntosh, Angus Silver - *Science gateways and reproducible computing* Speakers: Chris Gorgolewski - *Large-scale databasing and mega-analyses I* Speakers: Jessica Turner - *Collaborative neuroscience knowledge building tools* Keynote speaker: Maryann Martone, University of California, San Diego - *Large-scale databasing and mega-analyses II* Speakers: Viren Jain - *Knowledge infrastructure* Speakers: Lydia Ng, Susanna Sansone - *Data standards and reproducibility I* Speakers: Satrajit S Ghosh - *Machine learning and data mining* Keynote speaker: Kristin Branson, Howard Hughes Medical Institute Janelia Farm - *Data standards and reproducibility II* Speakers: Angie Laird - *Novel analytics for clinical data* Speakers: Alex Fornito, Best regards, and hope to see you in Kuala Lumpur! Malin Sandstr?m -- Malin Sandstr?m, PhD Community Engagement Officer malin.sandstrom at incf.org International Neuroinformatics Coordinating Facility Karolinska Institutet Nobels v?g 15 A SE-171 77 Stockholm Sweden http://www.incf.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From eilif.mueller at epfl.ch Fri Apr 21 11:42:12 2017 From: eilif.mueller at epfl.ch (Muller Eilif Benjamin) Date: Fri, 21 Apr 2017 15:42:12 +0000 Subject: Connectionists: WORKSHOP ANNOUNCEMENT - Machine Learning meets Biology: Algorithms and Cortical Mechanisms In-Reply-To: <1492779711763.64196@epfl.ch> References: <1492779711763.64196@epfl.ch> Message-ID: <1492789332776.76516@epfl.ch> WORKSHOP ANNOUNCEMENT "Machine Learning meets Biology: Algorithms and Cortical Mechanisms" Thurs. May 4th, 2017 09h00 - 18h00 B1 6th Floor Campus Biotech Chemin des Mines 9 1202, Geneva Switzerland OVERVIEW EPFL's Blue Brain Project invites you to participate in a day of scientific talks presented by leading experts in the fields of machine learning, artificial intelligence, and simulation neuroscience. In addition to the talks, the workshop will include informal, round-table style discussions, and opportunities for networking. This event aims to encourage informal discussion and exchange of ideas between the simulation neuroscience and machine learning communities through open discourse. We thereby hope to facilitate ongoing efforts to bridge the gap between outcome and performance-oriented research in the field of machine intelligence, and the mechanistic and process-oriented focus of fundamental neuroscience, while providing an opportunity for synergistic collaboration. REGISTRATION ?For additional information and registration, please see our event webpage: http://bluebrain.epfl.ch/page-143786-en.html Alternatively, to register immediately, click the following link: https://goo.gl/forms/e7uRbHLtLbAqqLNt1? Registration is free, and open to the public. We hope you will join us for this unique event. On behalf of the organizing committee: Taylor Newton, Fabien Delalondre, Marc-Oliver Gewaltig, Eilif Muller, Henry Markram ------------- Dr. Eilif Muller Section Manager - Simulation Neuroscience - Cells & Circuits Task Leader - Community Engagement - HBP Brain Simulation SP EPFL - Blue Brain Project Biotech Campus Chemin des Mines 9 1202 Geneva Switzerland Tel: +41 21 693 0698 Fax: +41 21 693 5350 www: http://bluebrain.epfl.ch/page-77926-en.html www: http://neuralensemble.org/people/eilifmuller -------------- next part -------------- An HTML attachment was scrubbed... URL: From shuaili.sli at gmail.com Sat Apr 22 07:01:35 2017 From: shuaili.sli at gmail.com (Shuai Li) Date: Sat, 22 Apr 2017 12:01:35 +0100 Subject: Connectionists: CFP - Deadline Apr 28 - San Francisco, California, US, DSCI 2017 Message-ID: Dear Colleagues, We are glad to announce the availability of Call for Papers for The 14th 2017 IEEE International Conference on Ubiquitous Intelligence and Computing: Data Science and Computational Intelligence, Aug 4 - Aug 8, San Francisco, CA, US (DSCI 2017), and please feel free to pass this message on to anyone else who might interest, the Deadline is Apr 28th 23:59 GMT. The purpose of this conference is to identify challenging problems facing the development of innovative knowledge and information systems, and to shape future research directions through the publication of high quality, applied and theoretical research findings. As we enter the big data era, Web Intelligence has extended and made use of artificial intelligence for new products, services and frameworks that are empowered by the World Wide Web. In DSCI 2017, we will continue the tradition of promoting collaboration among multiple areas. This year we are highlighting the advances in frontiers and applications of general areas such as big data, data science, artificial intelligence, social computing, data mining, information retrieval, and machine learning, etc. This is uniquely placed to deliver fresh perspectives on big data science. Topics of interest include, but are not limited to, the following areas: * Big Data Analysis * Data Science * Artificial Intelligence * Information Retrieval * Data Mining * Machine Learning * Recommender Systems * Deep Neural Networks * Systems Neuroscience * Reinforcement Learning * Robotics * Embedded Systems * Database * Computer Vision * Natural Language Processing * Human-Computer Interaction * Software Engineering * Social Computing Accepted papers must contain novel results. Contributions can be theoretical and/or empirical. Results will be judged on the degree to which they have been objectively established or their potential for scientific and technological impact. =============================================================== The 2017 IEEE International Conference on Ubiquitous Intelligence and Computing: Data Science and Computational Intelligence Aug 4 - Aug 8, San Francisco, US (DSCI 2017) Author Notification: May 10, 2017 Camera-Ready Due: June 10, 2017 =============================================================== Program Chairs: Shuai Li, University of Cambridge, United Kingdom Fei Hao, Shaanxi Normal University, China Program Committee Members: Dhruv Arya, LinkedIn, United States Zheng Pei, Xihua University, China Qingcheng Zhang, St. Francis Xavier University, Canada Arjumand Younus, National University of Ireland Galway, Ireland Xiaoliang Chen, Xihua University, China Safee Ullah Chaudhary, Lahore University of Management Sciences, Pakistan Pitt X. Dong, BiciTech, China Muhammad Atif Qureshi, Insight-Centre (UCD), Ireland Xiaokang Wang, Huazhong University of Science and Technology, China Khurram Shahzad, University of the Punjab, Pakistan Shi Cheng, Shaanxi Normal University, China Don-Wan Choi, Simon Fraser University, Canada Shengtong Zhong, Norwegian University of Science and Technology, Norway +Paper Submission: A submission in PDF is limited to 6 pages for the main conference paper, following the IEEE proceedings format: https://www.ieee.org/conferences_events/conferences/publishi ng/templates.html Submit PDF file by email with the title 'DSCI + your paper title': fhao at snnu.edu.cn +Paper Publication: Accepted conference papers will be published by IEEE (IEEE-DL and EI indexed). At least one author of each accepted paper is required to register and present their work at the conference; otherwise the paper will not be included in the proceedings. Best Paper Awards will be presented to high-quality papers. Selected papers will be recommended to special issues. Should you have any other concern feel free to contact: shuai.li at eng.cam.ac.uk -------------- next part -------------- An HTML attachment was scrubbed... URL: From bruno.cessac at inria.fr Sat Apr 22 10:59:18 2017 From: bruno.cessac at inria.fr (Bruno Cessac) Date: Sat, 22 Apr 2017 16:59:18 +0200 (CEST) Subject: Connectionists: =?utf-8?q?PhD__studentship__in__Computational__Vi?= =?utf-8?q?sual__Neuroscience__=E2=80=93_How__Specific__Classes__of__Retin?= =?utf-8?q?al__Cells__Contribute__to__Vision=3A_a_Computational_Model?= In-Reply-To: References: Message-ID: <240775325.11630826.1492873158499.JavaMail.zimbra@inria.fr> PhD studentship in Computational Visual Neuroscience ? How Specific Classes of Retinal Cells Contribute to Vision: a Computational Model The studentship is part of a new interdisciplinary project funded by the Leverhulme Trust to investigate how different groups of retinal cells contribute to the encoding of visual scenes. It is at the interface between experimental neuroscience (Institute of Neuroscience in Newcastle University, UK, E. Sernagor?s lab http://www.ncl.ac.uk/ion/ ) and computational neuroscience (B. Cessac?s lab, INRIA, Sophia Antipolis, France; https://team.inria.fr/biovision/ ). The studentship is for three years, starting in October 2017. It covers student fees and maintenance as well as funds for travelling between the two teams and conference expenses. The detailed proposition can be found here https://team.inria.fr/biovision/files/2017/04/20170418-phd-cessac.pdf -------------- next part -------------- An HTML attachment was scrubbed... URL: From antonino.staiano at uniparthenope.it Sun Apr 23 02:09:55 2017 From: antonino.staiano at uniparthenope.it (Antonino Staiano) Date: Sun, 23 Apr 2017 08:09:55 +0200 Subject: Connectionists: Call for papers Workshop @ ICANN 2017 Message-ID: Neural Networks meet Natural and Environmental Sciences (Chairs: Antonino Staiano, University of Naples Parthenope - Italy, Giovanni Burgio, University of Bologna, Italy) Nowadays, human being?s main worries are about the earth?s health. Although the technological development brought, undoubtedly, countless benefits to our life, likewise it has been accompanied by several troubles for earth planet, which are now threatening its future and our life. Ordinarily, natural and environmental scientists have to cope with complex decision making processes for assessing the potential impacts or risks associated to a given specific threaten at hand, in order to study and implement the necessary initiative to deal with and resolve the problem. That happens, just to name a few cases: when simulating the export of nutrients from river basins; to forecast salinity; to forecast ozone levels; to predict air pollution and the functional characteristics of ecosystems; to model algal growth and transport in rivers; to assess the risk of mortality of sensible species associated to the deliberate release of genetically modified organisms or plants in the environment; and to analyse the degradation of pesticides in soils used in agriculture through the analysis of physical and chemical parameters. However, very often scientists base their work on statistical tools or simple mathematical models incapable to capture the inherent complexities and the interactions of several independent variables. Here is where Neural Networks and more in general, machine learning, come into play. Machine learning techniques, for their nature, possess potentially apt characteristics to address that application domain. Therefore, the aim of the workshop is to outline the state-of-the-art of using neural networks, machine learning and the more general field of computational intelligence to real-world environmental and natural science domains, at the same time stimulating the discussion presenting new or little explored case studies to encourage more and more interdisciplinary collaborations in a so fascinating and fundamental application domain. Researchers and practitioners in both computer science and natural and environmental science are solicited to submit papers to present their experiences on the topic or on potentially new application domains where computational intelligence methods could be applied.The topics include but are not limited to Statistical and probabilistic models, Neural networks, Fuzzy systems, Rough sets, Neuro-fuzzy systems and Neuro-Fuzzy-Rough systems, Evolutionary algorithms, Kernel Methods, Ensemble learning, Ecology, Atmosphere and climate change, Ecosystem dynamics, Entomology, marine environment, water (marine, fluvial and lake) pollution, air pollution, pesticide and genetically modified organisms risk assessment. Types of Contributions http://www.icann2017.org/index.php/contributors/submission/ The ICANN 2017 proceedings will be published in the Springer Lecture Notes in Computer Science (LNCS) series, indexed as peer-reviewed publication in the Web of Science. All scientific communications presented at ICANN 2017 will be reviewed and scientifically evaluated by a panel of experts. The conference will feature two categories of communications: ? oral communications (15? + 5?) ? poster communications (on display all the time and 2 hours? presentation) Full paper submission Authors willing to present original contributions as a full paper must submit a manuscript of maximum 8 pages of length. Manuscripts will be reviewed to international standards by, at least, three referees. Accepted papers of contributing authors will be published in Springer-Verlag Lecture Notes in Computer Science (LNCS) series. Short paper (extended abstract) submission (NEW!) As a new possibility at ICANN, authors willing to present a contribution for oral communications or posters without submitting a full manuscript must submit a 1-page short paper (extended abstract) that will also be refereed by, at least, three referees. The short papers will be published in the proceedings. During the submission process, make sure to select the kind of contribution you want to submit. To summarise, the following options are available: short paper submission with oral contribution full paper submission with oral contribution short paper submission and poster (no talk) full paper submission and poster (no talk) Notice that the choice between poster and oral presentation is only a request. The program committee reserves the right to change the format of a contribution if necessary. In case of full paper submission, the maximum length is 8 pages (with references included; the number of pages should always be even). In case of short paper submission, the maximum length is one page. In both cases, please typeset your text with LaTeX using the class and the template provided below. At the time of submission, you should only upload the PDF version of your manuscript. In case of acceptance, you will have to upload the camera-ready version of your paper, including the LaTeX sources. To submit a paper, please select *S03: Machine Learning and ANN applications to Ecology * in the submission system ( http://www.icann2017.org/) THE DEADLINE TO SUMBIT A PAPER IS VERY CLOSE: MAY 3, 2017 Antonino Staiano, PhD Assistant Professor Dept. Science and Technology University of Naples Parthenope, Italy -------------- next part -------------- An HTML attachment was scrubbed... URL: From stefano.panzeri at gmail.com Sun Apr 23 05:31:17 2017 From: stefano.panzeri at gmail.com (Stefano Panzeri) Date: Sun, 23 Apr 2017 11:31:17 +0200 Subject: Connectionists: Fully Funded PhD Position at IIT Rovereto - Computational approaches to study the neural code Message-ID: We are seeking candidates for a fully funded PhD position at the Italian Institute of Technology?s Neural Computation Laboratory ( http://cncs.iit.it/labs/neural-computation ) directed by Stefano Panzeri and located in Rovereto (Trento), Italy. IIT collaborates with Universit? degli studi di Trento and finances these positions at the PhD course in Cognitive and Brain Sciences. The PhD project is entitled ?Computational approaches to study the neural code*?* Interested candidates are invited to informally approach *as soon as possible* Prof. Stefano Panzeri (stefano.panzeri at iit.it) by emailing their CV and briefly explaining their interest in this position. In order to formally apply to the PhD Position, candidates will then need to refer to the call published by Universit? degli Studi di Trento and available at the following link: http://web.unitn.it/en/drcimec/38030/2017-selection-announcement-topic-specific-grant-descriptions *Deadline for formal application is 16 may 2017* Topic description: Computational approaches to study the neural code. This project will develop a mathematical analysis framework, based on the principles of information theory, to identify neurons that transform sensory information into behavioral choices. Ideally the candidate should have a background in a numerate discipline and a keen interest in neuroscience. For further information, please see Panzeri S, et al (2017) Cracking the neural code for sensory perception by combining statistics, intervention and behavior. Neuron 93: 491-507 The successful candidate will have the opportunity to both develop new advanced methods and to analyze experimental data in collaboration with experimental neuroscience laboratories. The applicant should have a strong background in numerate sciences, and have a strong propensity for interdisciplinary research. No extensive previous experience in neuroscience is needed. However, a keen interest in understanding the brain is essential. For further information about the application see: PhD Application summary: http://web.unitn.it/en/drcimec/10141/application-summary-and-process PhD Application link: https://www5.unitn.it/Apply/en/Web/Home/dott PhD Application deadline: *Tuesday May 16, 2017, at 4pm *(Italian time) Regards Stefano Panzeri -------------- next part -------------- An HTML attachment was scrubbed... URL: From nemanja at temple.edu Sun Apr 23 22:38:56 2017 From: nemanja at temple.edu (Nemanja Djuric) Date: Sun, 23 Apr 2017 22:38:56 -0400 Subject: Connectionists: CFP - AdKDD and TargetAd workshop @ KDD2017 Message-ID: *Call for Workshop Papers* 2017 Edition of AdKDD and TargetAd in conjunction with The 23rd ACM SIGKDD Conference on Knowledge Discovery and Data Mining (KDD 2017) Halifax, Nova Scotia, Canada, August 13th-17th, 2017 https://adkdd17.wixsite.com/adkddtargetad2017 ?There has been a total of ten AdKDD and TargetAd workshops to date, organized every year since 2007, which focused on highlighting state-of-the-art advances in computational advertising. All the workshops were well attended, often with standing room only, and very well received both by the academic community and the advertising industry. Motivated by these successes, for 2017 we are happy to announce a joint edition of AdKDD and TargetAd, which we believe will bring an even stronger program than the past years. We look forward to seeing you in Halifax to discuss the past, present, and future of computational advertising! *Topics*: The workshop focuses on three main aspects of computational advertising. ? *Evolution of computational advertising*: Online advertising has progressed beyond the notion of traditional desktop ads to ads that are native, social, mobile, and contextual. In tandem, the rise of new mechanisms, such as header bidding, complex ad exchanges, repeated auctions, ad blockers, viewability trackers and others, challenge the traditional notions of advertising. There also continues to exists controversial issues in advertising such as privacy, security, fraud, ethics, and economic attribution. We invite papers that are focused on some of the above aspects. ? *Large-scale and novel ad targeting*: Recent advances in real-time, big data systems, and easier accessibility to different types of data make it possible to design more personalized and efficient ad targeting systems. We invite papers that advance the state-of-the-art in related areas of ad targeting. ? *Deployed systems & battle scars*: We particularly encourage papers that highlight experience in deploying real-time ad targeting systems, data and audience insights, as well as position papers on the future of online advertising. *Submission Instructions*: Following KDD conference tradition, reviews are single-blind, and author names and affiliations should be listed. Submitted papers will be assessed based on their novelty, technical quality, potential impact, insightfulness, depth, clarity, and reproducibility. For each accepted paper, at least one author must attend the workshop and present the paper. ? Submissions are limited to a total of six pages, including all content and references, must be in PDF format, and formatted according to the new Standard ACM Conference Proceedings Template. Additional information about formatting and style files is available here. *Important Deadlines*: Submission : May 28th, 2017 Decisions : June 16th, 2017 Camera-ready : July 6th, 2017 Workshop : August 14th, 2017 *Best Paper Awards*: We are happy to announce that Criteo generously decided to help us award best accepted papers for this year?s workshop. Two best papers will be awarded financially, as follows: Best Paper: $1,000 Runner-up: $500 *Submission Website*: https://easychair.org/conferences/?conf=adkddtargetad2017 *Program Committee Chairs*: Suju Rajan (Criteo) Mihajlo Grbovic (Airbnb) Abraham Bagherjeiran (Amazon) Nemanja Djuric (Uber ATG) Kuang-chih Lee (Yahoo Inc.) Vladan Radosavljevic (Uber ATG) Kun Liu (LinkedIn) For further questions please contact a member of the organizing committee. -------------- next part -------------- An HTML attachment was scrubbed... URL: From dlpigozzi at gmail.com Mon Apr 24 04:21:40 2017 From: dlpigozzi at gmail.com (=?UTF-8?B?RGllZ28gTMOzcGV6?=) Date: Mon, 24 Apr 2017 10:21:40 +0200 Subject: Connectionists: Whole Cell Modelling Course at CRG, Barcelona (Sept 4th-7th) Message-ID: Dear all, I am glad to announce the specific training on wholce cell modelling that is gonna be hold at Barcelona from September 4th to 7th. The *deadline* for applications finishes *May 18th*. The course is designed for PhD students and postdoctoral scholars who wish to gain training in large-scale dynamical modeling. Students should already have a strong foundation in computational systems biology including dynamical modeling and scientific programming. More information at: http://www.crg.eu/en/event/coursescrg-whole-cell-modeling-0 Sincerely yours, Diego L?pez Pigozzi, PhD MTA K?s?rleti Orvostudom?nyi Kutat?int?zet?ne Budapest, Hungary -------------- next part -------------- An HTML attachment was scrubbed... URL: From poma at mmmi.sdu.dk Mon Apr 24 05:00:48 2017 From: poma at mmmi.sdu.dk (Poramate Manoonpong) Date: Mon, 24 Apr 2017 09:00:48 +0000 Subject: Connectionists: [meetings] CALL FOR CONTRIBUTIONS- Workshop: Bio-inspired control for interlimb coordination and adaptation in legged robots at SWARM2017 Message-ID: CALL FOR CONTRIBUTIONS- Workshop: Bio-inspired control for interlimb coordination and adaptation in legged robots at SWARM2017, Kyoto University, Japan ------------------------------------------------------------------------------------------------------------ Deadline for poster abstract submission: June 23, 2017 Notification of acceptance: July 24, 2017 Workshop: October 29 (full-day), 2017 Workshop Overview ------------------ Biological walking systems can adaptively form their interlimb coordination for locomotion to deal with different situations. Neurophysiological studies have revealed that the adaptive coordination emerges from dynamical interactions of neural activities, plasticity, musculoskeletal systems, and the environment. Achieving this on legged robots remains a grand challenge. Thus our workshop "Bio-inspired control for interlimb coordination and adaptation in legged robots" at SWARM 2017 (http://www.ohk.hiroshima-u.ac.jp/SWARM2017/) will bring together leading experts, working in the domains of bio-inspired control of legged robots, to present their recent achievements on robot locomotion with adaptive interlimb coordination for speed-dependent adaptation, environment-dependent adaptation, body-dependent adaptation, and task-dependent adaptation. We will also discuss future directions to overcome this challenge. The full-day workshop is composed of the following parts: 1) Invited talks by experts from animal locomotion, bio-inspired locomotion control, and legged robots, 2) poster presentations, 3) Discussion and future steps We are also pleased to invite contributions in the form of 1-2 pages conf. style abstract http://www.ohk.hiroshima-u.ac.jp/SWARM2017/ on (but are not limited to) the following topics. The selected contributions will be presented in a form of a poster during the workshop and the SWARM conference. We particularly encourage young scientists to contribute and attend, even presenting their research at an early stage an engage in discussions. We also welcome live demonstrations on robot locomotion and collective behavior. Submissions have to be sent to poma at mmmi.sdu.dk in PDF format. One author per accepted workshop contribution (poster, demo) and attendee are required to register for the workshop and SWARM2017. We hope that you will be able to attend and look forward to seeing you in Kyoto, Japan! The workshop organizers: Poramate Manoonpong, Shinya Aoi, and Yuichi Ambe ===================== The Workshop topics include (but are not limited to) the following: * Animal locomotion, * Bio-inspired locomotion control, * Legged robots, * Dynamic locomotion, * Adaptive behavior ===================== Tentative List of Speakers of the workshop: * Amir Ayali (School of Zoology, Tel Aviv University, Tel Aviv, Israel) * Emily Baird (Lund Vision Group, Department of Biology, Lund University, Lund, Sweden) * Poramate Manoonpong (Embodied AI & Neurorobotics Lab, Centre for BioRobotics, The Maersk Mc-Kinney Moller Institute, University of Southern Denmark, Denmark) * Malte Schilling (The Center of Excellence for Cognitive Interaction Technology, University of Bielefeld, Bielefeld, Germany) * Yuichi Ambe (Department of Applied Information Sciences, Graduate School of Information Sciences, Tohoku University, Sendai, Japan) * Shinya Aoi (Department of Aeronautics and Astronautics, Graduate School of Engineering, Kyoto University, Kyoto, Japan) * Gen Endo (School of Engineering, Tokyo Institute of Technology, Tokyo, Japan) * Yasuhiro Fukuoka (Intelligent Systems Engineering, College of Engineering, Ibaraki University, Ibaraki, Japan) * Alexander Spr?witz (Dynamic Locomotion Group, Max Planck Institute for Intelligent Systems (MPI-IS) Stuttgart, Germany) * Auke Ijspeert (Biorobotics Laboratory, the Swiss Federal Institute of Technology (EPFL), Lausanne, Switzerland) * Dai Owaki (Research Institute of Electrical Communication, Tohoku University, Sendai, Japan) Best regards Poramate Manoonpong Associate Professor SDU Embodied Systems for Robotics and Learning, The Maersk Mc-Kinney Moller Institute T +45 65 50 86 98 poma at mmmi.sdu.dk University of Southern Denmark Campusvej 55 DK-5230 Odense M www.sdu.dk [http://cdn.sdu.dk/img/sdulogos/SDU_BLACK_signatur.png] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: image001.png Type: image/png Size: 1388 bytes Desc: image001.png URL: From laurent.perrinet at univ-amu.fr Mon Apr 24 06:15:10 2017 From: laurent.perrinet at univ-amu.fr (Laurent Perrinet) Date: Mon, 24 Apr 2017 12:15:10 +0200 Subject: Connectionists: PhD positions: trajectories in natural images and the sensory processing of contours In-Reply-To: <556332F6.9080803@univ-amu.fr> References: <556332F6.9080803@univ-amu.fr> Message-ID: <529E6B8D-6267-4D40-9CDB-2480FB07C21D@univ-amu.fr> Dear colleagues, The Ph.D. program in Integrative and Clinical Neuroscience (Aix-Marseille University) is offering several Ph.D. scholarships to Master students graduated from highly ranked international universities (outside France). There is an opporutnity for a PhD position at the "Institut de Neurosciences de la Timone" (team "Inference and Visual Behavior" ), CNRS, Marseille (France) to study trajectories in natural images and the sensory processing of contours, at the crossroads between Biological Vision, Neural Networks and Bio-Inspired Computer Vision. The project has been pre-selected and we are looking for the ideal candidate to be finally selected (3 out of 20 projects are awarded). A full description of the project is available at: http://invibe.net/LaurentPerrinet/IcnPhdProgram Applications are welcome immediately and until May 21st. Do not hesitate to contact me for any question related to the project. Best regards, Laurent Perrinet -- Laurent Perrinet - INT (UMR 7289)/CNRS http://invibe.net/LaurentPerrinet -------------- next part -------------- An HTML attachment was scrubbed... URL: From angela.avera at gmail.com Mon Apr 24 13:50:58 2017 From: angela.avera at gmail.com (Angie Avera) Date: Mon, 24 Apr 2017 10:50:58 -0700 Subject: Connectionists: Call for Papers: Games as Research Environments Workshop at FDG conference Message-ID: <8904B147-E4D0-4106-AB71-9FC8BF1C8462@gmail.com> Hi everyone, We are pleased to announce the workshop Tracing the Boundaries of Games as Research Environments, to be hosted during the 2017 Foundations of Digital Games Conference being held in Cape Cod, Massachusetts August 14-17, 2017. We are currently accepting 2-4 page position papers written in extended abstract form, that either discuss experiences using games for research environments and interesting problems faced or lessons learned, or cover a particular position on a number of topics surrounding the use of games for the purpose of research. We will be accepting papers through May 1st and more information about the topics of interest, purpose of the workshop and the Foundations of Digital Games conference can be found on the workshop website - https://gamesasresearchenvironments.wordpress.com/ Thank you, Angie Avera University of Houston - Clear Lake -------------- next part -------------- An HTML attachment was scrubbed... URL: From J.Verhoef at donders.ru.nl Mon Apr 24 14:32:02 2017 From: J.Verhoef at donders.ru.nl (Verhoef, J.P. (Julia)) Date: Mon, 24 Apr 2017 18:32:02 +0000 Subject: Connectionists: Nine Research Positions in the Dutch Consortium 'Language in Interaction' (1.0 FTE) Message-ID: <11E9E0B371DBAE4EB859A9CC30606A04023F6047@exprd04.hosting.ru.nl> Nine Research Positions in the Dutch Consortium 'Language in Interaction' (1.0 FTE) Dutch Research Consortium 'Language in Interaction' Vacancy number: 30.02.17 Application deadline: 21 May 2017 Responsibilities We are looking for highly motivated candidates to enrich a unique research consortium aiming to unravel the neurocognitive mechanisms of language at multiple levels. The goal is to understand both the universality and the variability of the human language faculty from genes to behaviour. Currently, our consortium advertises 4 Postdoc and 5 PhD positions. These positions provide the opportunity for conducting world-class research as a member of an interdisciplinary team. Each position has its own requirements and profile. Click here for more information on the advertised positions. www.languageininteraction.nl/jobs/BQsecond.html Work environment The Netherlands has an outstanding track record in the language sciences. The Language in Interaction research consortium, sponsored by a large grant from the Netherlands Organisation for Scientific Research (NWO), brings together many of the excellent research groups in the Netherlands with a research programme on the foundations of language. In addition to excellence in the domain of language and related relevant fields of cognition, our consortium provides state-of-the-art research facilities and a research team with ample experience in the complex research methods that will be invoked to address the scientific questions at the highest level of methodological sophistication. These include methods from genetics, neuroimaging, computational modelling, and patient-related research. This consortium realises both quality and critical mass for studying human language at a scale not easily found anywhere else. We have identified five Big Questions (BQ) that are central to our understanding of the human language faculty. These questions are interrelated at multiple levels. Teams of researchers will collaborate to collectively address these key questions of our field. Our five Big Questions are: BQ1: The nature of the mental lexicon: How to bridge neurobiology and psycholinguistic theory by computational modelling? BQ2: What are the characteristics and consequences of internal brain organization for language? BQ3: Creating a shared cognitive space: How is language grounded in and shaped by communicative settings of interacting people? BQ4: Variability in language processing and in language learning: Why does the ability to learn language change with age? How can we characterise and map individual language skills in relation to the population distribution? BQ5: How are other cognitive systems shaped by the presence of a language system in humans? Successful candidates will be appointed at one of the consortium?s home institutions, depending on the position applied for. All successful candidates will become members of our Big Question teams. The research is conducted in an international setting at all participating institutions. English is the lingua franca. What we expect from you Each position has its own requirements and profile. Detailed information on: www.languageininteraction.nl/jobs/BQsecond.html ? General requirements for all positions are: ? a degree in one of the fields indicated for the positions; ? strong motivation; ? excellent proficiency in written and spoken English. What we have to offer ? employment: 1.0 FTE; ? you will be appointed at one of the consortium?s home institutions, depending on the position applied for; ? terms of employment depend on the embedding institution; ? the institutes involved have regulations in place that enable their staff to create a good work-life balance. Other Information All institutes involved are equal opportunity employers, committed to building a culturally diverse intellectual community, and as such encourage applications from women and minorities. Would you like to know more? Further information on LiI consortium: http://www.languageininteraction.nl/ Further information on the different positions, including terms of employment and contacts: www.languageininteraction.nl/jobs/BQsecond.html Are you interested? You should upload your application (attn. of Prof. P. Hagoort) exclusively via: http://www.ru.nl/applyonline?tk=uk&recid=597242 Your application should include (and be limited to) the following attachment(s): ? a cover letter quoting at the top the number of the position you apply for; ? your curriculum vitae, including a list of publications and the names of at least two persons who can provide references. Please apply before 21 May 2017, 23:59 CET. You may apply for more than one position. No commercial propositions please. -------------- next part -------------- An HTML attachment was scrubbed... URL: From jteeters at berkeley.edu Mon Apr 24 19:37:08 2017 From: jteeters at berkeley.edu (Jeff Teeters) Date: Mon, 24 Apr 2017 16:37:08 -0700 Subject: Connectionists: Reminder: Application deadline April 30, for Berkeley course in mining and modeling of neuroscience data Message-ID: A reminder: the application deadline is in about 6 days (end of April). Information about the course is below. ------------------ We invite applicants to the 2017 summer course in "Mining and modeling of neuroscience data" to be held July 10-21 at UC Berkeley. A description of the course is below and also at: http://crcns.org/course Application deadline is April 30. ----- Berkeley summer course in mining and modeling of neuroscience data July 10-21, 2017 Redwood Center for Theoretical Neuroscience, UC Berkeley Organizers: Fritz Sommer, Bruno Olshausen & Jeff Teeters (HWNI, UC Berkeley) Scope This course is for students and researchers with backgrounds in mathematics and computational sciences who are interested in applying their skills toward problems in neuroscience. It will introduce the major open questions of neuroscience and teach state-of?the-art techniques for analyzing and modeling neuroscience data sets. The course is designed for students at the graduate level and researchers with background in a quantitative field such as engineering, mathematics, physics or computer science who may or may not have a specific neuroscience background. The goal of this summer course is to help researchers find new exciting research areas and at the same time to strengthen quantitative expertise in the field of neuroscience. The course is sponsored by the National Institute of Health, the National Science Foundation from a grant supporting activities at the data sharing repository CRCNS.org, and the Helen Wills Neuroscience Institute. Format The course is ?hands on? in that it will include exercises in how to use and modify existing software tools and apply them to data sets, such as those available in the CRCNS.org repository. Course Instructors Robert Kass, Carnegie Mellon University, Pittsburgh Frederic Theunissen, University of California Berkeley Jonathan Pillow, Princeton University Odelia Schwartz, University of Miami Mark Goldman, University of California Davis Maneesh Sahani, Gatsby Unit, University College London Course Moderators Fritz Sommer and Jeff Teeters, Redwood Center for Theoretical Neuroscience. Speakers To complement the main course instruction there will be lectures in the evenings by local Berkeley and UCSF neuroscientists presenting their research using quantitative approaches. Requirements Applicants should be familiar with linear algebra, probability, differential and integral calculus and have some experience using MatLab and Python. Each student should bring a laptop with both MatLab and Python installed. Cost There is no cost to attend. Non-local attendees will be reimbursed for economy travel expenses (up to a maximum of $500 domestic, $600 foreign) and will have most meals provided. Housing Rooms in the University dorms will be provided for those non-local attendees who need accommodations. Most dorm rooms are double occupancy (shared). Food Breakfast and some dinners will be provided to all participants as a group. Non-local attendees will also be provided most other meals in the University dining commons. How to apply To apply, submit the online form http://crcns.org/course/apply.php. A curriculum vitae and a letter of recommendation are required. The course is limited to 25 students. Deadlines Applications must be received by the end of April. Notifications of acceptance will be given by May 15. Questions Questions about the course can be sent to course [at] crcns.org. Topics covered (subject to change) Basic approaches: - The problem of neural coding - Spike trains, point processes, and firing rate - Statistical thinking in neuroscience - Overview of stimulus-response function models - Theory of model fitting / regularization / hypothesis testing - Bayesian methods - Estimation of stimulus-response functionals: regression methods, spike-triggered covariance - Variance analysis of neural response - Estimation of SNR. Coherence - Generalized Linear Models Information theoretic approaches: - Information transmission rates and maximally informative dimensions - Scene statistics approaches and neural modeling Techniques for analyzing multiple-unit recordings: - Event sorting in electrophysiology and optical imaging - Optophysiology cell detection - Sparse coding/ICA methods, vanilla and methods including statistical models of nonlinear dependencies - Methods for assessing functional connectivity - Statistical issues in network identification - Low-dimensional latent dynamical structure in network activity?Gaussian process factor analysis/newer methods Models of memory, motor control and decision making: - Neural integrators - Attractor networks -------------- next part -------------- An HTML attachment was scrubbed... URL: From peter.rupprecht at yahoo.de Tue Apr 25 03:44:04 2017 From: peter.rupprecht at yahoo.de (Peter Rupprecht) Date: Tue, 25 Apr 2017 07:44:04 +0000 (UTC) Subject: Connectionists: Positions for PhD students and postdocs: Structure, function and theory of olfactory memory circuits. References: <582194534.1206616.1493106244889.ref@mail.yahoo.com> Message-ID: <582194534.1206616.1493106244889@mail.yahoo.com> Dear all, There are PhD and PostDoc positions available in the lab of my PhD supervisor, Prof. Rainer Friedrich at the FMI in Basel/Switzerland, ?as of now. Please find enclosed a job description. Best regards,Peter -- Positions for PhD students and postdocs: Structure, function and theory of olfactory memory circuits.?Open positions for PhD students and postdocs are available in the?Friedrich lab?at the Friedrich Miescher Institute for Biomedical Research (FMI) in Basel, Switzerland (http://www.fmi.ch/friedrich.r/). We explore?neuronal circuit plasticity?underlying memory formation in recurrent networks of the?olfactory bulb and cortex?using juvenile and adult zebrafish as models. Positions are available for projects funded by the Swiss National Science Foundation (SNF) and by the European Research Council (ERC). Projects cover multiple areas of neuroscience including?population coding, connectomics, learning and memory, optogenetics and computational neuroscience.?The Friedrich group provides a stimulating environment within the FMI, a world-class basic research institute with excellent internal support (www.fmi.ch). The group is highly?interdisciplinary?and?encourages open communication and collaboration. We encourage applications of candidates with different backgrounds including neurophysiology, molecular neurobiology, physics, mathematics and computer science. Basel is a vibrant city in the center of Europe and offers a rich cultural life. Are you interested? Then find out more about how to apply at?http://www.fmi.ch/Careers/JobDetails.html?jobID=213. -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: JobAd_Friedrich_1704.pdf Type: application/pdf Size: 178557 bytes Desc: not available URL: From malin.sandstrom at incf.org Tue Apr 25 04:02:00 2017 From: malin.sandstrom at incf.org (=?UTF-8?Q?Malin_Sandstr=C3=B6m?=) Date: Tue, 25 Apr 2017 10:02:00 +0200 Subject: Connectionists: Planning a course? Apply for INCF seed funding by April 30 Message-ID: Dear all, the new INCF* seed funding scheme for supporting training in neuroinformatics is about to close its first round of funding. You have until *April 30 *to apply for - *1000-3000 USD for development of a Program of Study* for either the Bachelor?s or Master?s level - *2000-20000 USD in support for courses* - funds can be used for including a new neuroinformatics component in an existing course, to support the video recording of existing neuroinformatics-related courses, and support the development of neuroinformatics-related training materials (tutorials, demos, etc?), as well as support the holding of in-person courses and hackathons. There are no geographical restrictions, applications are welcome from anywhere in the world. More information and application forms: https://www.incf.org/resources/funding-support/funding-support-for-neuroinformatics-training-and-education-activities Best regards, Malin Sandstr?m *INCF is an international organization launched in 2005, following a proposal from the Global Science Forum of the OECD to establish international coordination and collaborative informatics infrastructure for neuroscience. The INCF international network currently spans North America, Europe, Australia and Asia. INCF fosters the global digital interconnectivity of data, methods and people engaged in brain research to catalyze insights into brain function in health and disease. -- Malin Sandstr?m, PhD Community Engagement Officer malin.sandstrom at incf.org International Neuroinformatics Coordinating Facility Karolinska Institutet Nobels v?g 15 A SE-171 77 Stockholm Sweden http://www.incf.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From h.abbass at adfa.edu.au Tue Apr 25 05:33:47 2017 From: h.abbass at adfa.edu.au (Hussein Abbass) Date: Tue, 25 Apr 2017 09:33:47 +0000 Subject: Connectionists: Special Issue on Human-Machine Symbiosis Message-ID: CFP: Special Issue on Human-Machine Symbiosis, IEEE Transactions on Emerging Topics in Computational Intelligence http://cis.ieee.org/images/files/Documents/Transactions/TETCI/SI7_CFP_HMS.pdf AIM AND SCOPE It has been 55+ years since Licklider published his seminal paper titled "Man-Machine Symbiosis". Yet, Licklider's argument stands still today as it was standing at that time; a vision that seems to be plausible in the near future. We particularly quote the following from this seminal work: "A multidisciplinary study group, examining future research and development problems of the Air Force, estimated that it would be 1980 before developments in artificial intelligence make it possible for machines alone to do much thinking or problem solving of military significance. That would leave, say, five years to develop man-computer symbiosis and 15 years to use it. The 15 may be 10 or 500, but those years should be intellectually the most creative and exciting in the history of mankind." Today, as we stand on slightly firmer ground to assert that the era of Human-Machine Symbiosis has begun, perfection in that symbiosis still remains distant. On the conceptual level, more refined concepts of Licklider's vision have been established; these include (in a chronological order of their appearance in the literature): Biocybernetics, Brain Computer Interfaces, Adaptive Aiding, Adaptive Automation, Human-Machine Teaming, Augmented Cognition, Cognitive-Cyber Symbiosis, and Human-Autonomy Teaming. On the engineering level, most of these concepts have been implemented in one form or another. The field of Air Traffic Control has possibly been "the" testbed for almost all of these concepts; but today, autonomous systems are becoming a primary testbed for all of these concepts. The above history has relied on less "intelligence" in the machine, making the symbiotic relationship more challenging. The field of Computational Intelligence (CI) is introducing some game-changing and disruptive technologies with the potential to create a leap forward in this research area. Deep learning systems are showing promise in making the machine smarter and adaptive. Fuzzy systems are offering opportunities to provide transparency to allow the human to understand what the machine does. Evolutionary computation techniques are becoming a classic technology to optimize these systems. Swarm intelligence is offering the foundations for effective teaming. Behavioral analytics using CI techniques are leading the way to synthesize low-level actions by both humans and machines into high-level meaning. Yet, the literature on this topic is spread over many scattered papers. This special issue aims to bring the elite of this literature together. LIST OF TOPICS The special issue welcomes survey, position, and research papers on the role of Computational Intelligence for one or more of the following topics: * CI Algorithms (including hybrid algorithms) for Human Machine Symbiosis to o create meaning, understand, represent and model behavior from interaction data, o design and implement self-motivated AI, o design transparent AI, o facilitate natural and effective communication between humans and machines, o machine cognition, o machine trust o monitor and evaluate trustworthiness of each party, and o other uses of CI in a human machine symbiosis related topic. * Case studies showcasing the use of CI in Human-Machine Symbiosis, for example in o autonomous systems, o safety critical systems including air traffic control, cyber operations, cyber-physical systems, etc, and o other interesting applications. * Position papers on the role of CI in o architectures for trusted autonomous systems, o augmented cognition systems, o big data analytics for human-machine symbiosis, o cognitive-cyber symbiosis, o human-autonomy/machine teaming, o human-robot collaboration, o role of psychophysiological and behavioral data in symbiosis, o trust in human-machine interaction and teams, and o other related topics. SUBMISSION PROCESS Manuscripts should be prepared according to the "Information for Authors" section of the journal found at http://cis.ieee.org/ieee-transactions-on-emergingtopics-incomputational-intelligence.html and submissions should be done through the journal submission website: https://mc.manuscriptcentral.com/tetci-ieee, by selecting the Manuscript Type of "Human-Machine Symbiosis", and clearly marking "Special Issue on Human-Machine Symbiosis" as comments to the Editor-in-Chief. IMPORTANT DATES Submission Deadline: 3rd September, 2017 First Decision: 30th October, 2017 Revised Manuscripts: 19th November, 2017 Final Decision: 8th January, 2017 Final Manuscripts: 28th January, 2017 GUEST EDITORS Professor Hussein Abbass, University of New South Wales, Canberra, Northcott Drive, ACT 2600, Australia, h.abbass at adfa.edu.au Dr. Gary B. Fogel, Natural Selection, Inc., 6480 Weathers Place, Suite 350, San Diego, CA 92121 USA, gfogel at naturalselection.com Dr. Justin Fidock, Defence Science and Technology, Group Land Vehicles and Systems, Land Division, L81, DST Group, Justin.Fidock at dsto.defence.gov.au -------------- next part -------------- An HTML attachment was scrubbed... URL: From Eirini.Mavritsaki at bcu.ac.uk Tue Apr 25 07:12:42 2017 From: Eirini.Mavritsaki at bcu.ac.uk (Eirini Mavritsaki) Date: Tue, 25 Apr 2017 11:12:42 +0000 Subject: Connectionists: Funded PhD in Psychology (New insights into ADHD through behavioural and modelling studies) Message-ID: <3FCD70F47E1E99449079BAD1F20D729C01DDB1D7FE@EXMBXCS.staff.uce.ac.uk> Please note the deadline of application is 10th of May 2017 New insights into ADHD through behavioural and modelling studies Applications are invited for a 3-year PhD studentship within the Department of Psychology, Faculty of Business Law and Social Sciences, Birmingham City University. Applicants need to demonstrate ability and commitment, including excellent communications skills in written and spoken English. Project Synopsis: There are many limitations on the behaviour of complex neural systems, but one primary constraint is to filter incoming input in order that actions can be programmed to behaviourally relevant stimuli. A major challenge for current-day researchers is to understand how (and why) these limitations arise, especially in conditions such as attention deficit hyperactivity disorder (ADHD) where the attentional system is dysfunctional. The main aim of this project is to identify and understand the differences in visual attention between children diagnosed with ADHD and typically functioning children. In addition, to investigate the role of diet in ADHD. This Ph.D. thesis aims to do this by using a novel interdisciplinary approach, behavioural and computational modelling study. The student can choose to work in both or just one approach (either computational or behavioural work). The successful applicant will join the Centre for Applied Psychological Research (CAP Research) within the Department of Psychology at Birmingham City University. This centre is part of a vibrant and rapidly expanding research community, which offers applicants with an excellent opportunity to develop their research career. The applicant will have the opportunity to gain teaching experience, to participate in research seminars and to co-supervise undergraduate projects. For more information please contact Dr Eirini Mavritsaki (Eirini.mavritsaki at bcu.ac.uk). Candidate Qualification and Specifications: Essential ? The applicant should hold a good undergraduate honours degree (First or 2:1) in psychology or a related area to the topic. ? A demonstrated understanding of research methods is essential (as evidenced by degree transcript grades for research methods and dissertation modules). ? The applicant will be expected to undertake and pass Disclosure and Barring Service (DBS) checks. ? The applicant should enjoy working with children. ? For applications that involve computational modelling the student needs to have experience in C++ and/or Matlab. Desirable ? A Masters' degree in research methods, psychology or a computational modelling. ? For applications that involve behavioural work, itis desirable to have experience (voluntary or paid) in schools or experience working with children. ? Access to a car and a valid driving licence. ? For applications that involve computational modelling, it is desirable to have Computational modelling experience. Application Process (Deadline of application 10th of May) You can find further details on studying for a PhD and details of how to apply by clicking on the following link http://www.bcu.ac.uk/social-sciences/courses/research-degrees. Please feel free to contact us if you have any questions about the application or to express an interest. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Eirini Mavritsaki, PhD, CPsychol Senior Lecturer in Cognitive Psychology Director of Research in the School of Social Sciences Department of Psychology Faculty of Business Law and Social Sciences Birmingham City University The Curzon Building 4 Cardigan Street Birmingham B4 7BD eirini.mavritsaki at bcu.ac.uk 0121 331 6361 Office Hours Appointment only: Tuesdays 11:00-12:00 Drop-in: Fridays 09:00-10:00 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -------------- next part -------------- An HTML attachment was scrubbed... URL: From Eirini.Mavritsaki at bcu.ac.uk Tue Apr 25 08:11:08 2017 From: Eirini.Mavritsaki at bcu.ac.uk (Eirini Mavritsaki) Date: Tue, 25 Apr 2017 12:11:08 +0000 Subject: Connectionists: =?windows-1252?q?Funded_Phd_in_Computational_Neur?= =?windows-1252?q?oscience_=28Investigating_oscillatory_behaviour_in_Alzhe?= =?windows-1252?q?imer=92s_disease_to_establish_biomarkers=3A_an_EEG_and_c?= =?windows-1252?q?omputational_programme_of_PhD_study=29?= Message-ID: <3FCD70F47E1E99449079BAD1F20D729C01DDB1DD14@EXMBXCS.staff.uce.ac.uk> Please note the deadline of application is 10th of May 2017 Investigating oscillatory behaviour in Alzheimer?s disease to establish biomarkers: an EEG and computational programme of PhD study Applications are invited for a 3-year PhD studentship within the Department of Psychology, Faculty of Business Law and Social Sciences, Birmingham City University. Applicants need to demonstrate ability and commitment, including excellent communications skills in written and spoken English. Project Synopsis: This proposed PhD work follows high profile research by the University of Birmingham team (Prof. Kim Shapiro, Prof. Howard Bowman and Mr Ali Mazaheri). The project is collaborative work between Birmingham City University (Dr Eirini Mavritsaki) and University of Birmingham (Prof. Kim Shapiro and Prof. Howard Bowman). The University of Birmingham team has access to ERP data of a semantic anomaly and word repetition task (Olichney et al, 2002). In the original analysis of the data by Olichney and colleagues, the N400 component was analysed, which is related to semantic manipulation. Olichney and colleagues found evidence of N400 abnormalities in mild cognitive impairment patients, which predicted later progression to Alzhemier?s. The University of Birmingham team have identified oscillatory changes that also predict progression to Alzheimer?s, opening up the possibility that an effective EEG-based early-stage biomarker of Alzheimer?s might be within reach. We plan to simulate this data and the changes observed in it using a computational model that is based on the sSoTS (Mavritsaki, Heinke, Humphreys and Deco, 2011) model. The successful applicant will join the Centre for Applied Psychological Research (CAPresearch) within the Department of Psychology at Birmingham City University. CAPresearch is part of a vibrant and rapidly expanding research community, which offers applicants with an excellent opportunity to develop their research career. The applicant has the opportunity to have teaching experience, to participate in research seminars and to co-supervise undergraduate projects. The successful candidate will also be expected to attend the weekly meetings of the University of Birmingham research team. For more information please contact Dr Eirini Mavritsaki (Eirini.mavritsaki at bcu.ac.uk) or Prof. Howard Bowman (H.Bowman at bham.ac.uk). For application please see below. Candidate Qualification and Specifications: Essential ? The applicant should hold a good undergraduate honours degree (First or 2:1) in related area. ? The applicant should have experience of computational models, evidenced by previous work or masters degree. ? A demonstrated understanding of research methods is essential (as evidenced by degree transcript grades for research methods and dissertation modules). ? Experience in C++ and Matlab. Desirable ? A Masters? degree in research methods, psychology or computational modelling Application Process (Deadline of application 10th of May) You can find further details on studying for a PhD and details of how to apply on the following link http://www.bcu.ac.uk/social-sciences/courses/research-degrees Please feel free to contact us if you have any questions for the application and to express interest. ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ Eirini Mavritsaki, PhD, CPsychol Senior Lecturer in Cognitive Psychology Director of Research in the School of Social Sciences Department of Psychology Faculty of Business Law and Social Sciences Birmingham City University The Curzon Building 4 Cardigan Street Birmingham B4 7BD eirini.mavritsaki at bcu.ac.uk 0121 331 6361 Office Hours Appointment only: Tuesdays 11:00-12:00 Drop-in: Fridays 09:00-10:00 ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ -------------- next part -------------- An HTML attachment was scrubbed... URL: From ilya.nemenman at emory.edu Tue Apr 25 12:17:08 2017 From: ilya.nemenman at emory.edu (Nemenman, Ilya) Date: Tue, 25 Apr 2017 16:17:08 +0000 Subject: Connectionists: Workshop on New Directions in Motor Control, Emory University, Atlanta, Georgia, May 18-19, 2017 Message-ID: <9E4BD442-ED4C-4E2E-9796-8EBF2F64CCA5@emory.edu> Dear Colleagues, We would like to announce a workshop on ?New Directions in Motor Control", which will take place at Emory University (Atlanta, GA) on May 18-19, 2017. Speakers will discuss their work exploring how the nervous system controls complex behaviors, with emphasis on how the brain employs sensory information to guide motor action and how patterns of motor activity are organized in space and time. The workshop will include both formal presentations and small-group tutorials on advanced methods for analyzing neural and behavioral data. It will emphasize the importance of collaborative interactions between neurophysiologists on the one hand and theorists and modelers on the other. Workshop website: http://www.physics.emory.edu/home/new-directions-in-motor-control/ Registration (by May 4): http://www.physics.emory.edu/home/new-directions-in-motor-control/register.html Lodging (by Apr 26): http://www.physics.emory.edu/home/new-directions-in-motor-control/lodging.html The list of confirmed speakers includes: (External Speakers) Dr. Michael Brecht, Bernstein Center for Computational Neuroscience, Berlin Dr. Nicholas Hatsopoulos, University of Chicago Dr. Mackenzie Mathis, Harvard University Dr. Leslie Osborne, University of Chicago Dr. Carl Petersen, EPFL Lausanne Dr. Jennifer Raymond, Stanford University Dr. Reza Shadmehr, Johns Hopkins University (Atlanta-area Speakers) Dr. Don Edwards, Georgia State University Dr. David Hofmann, Emory University Dr. Dieter Jaeger, Emory University Dr. Ilya Nemenman, Emory University Dr. Chethan Pandarinath, Emory University/Georgia Tech Dr. Sam Sober, Emory University Dr. Simon Sponberg, Georgia Tech Dr. Lena Ting. Emory University/Georgia Tech Hand-on tutorials will include: Information theoretic analysis of neural spike trains, Dr. Ilya Nemenman, Emory University Application of generalized linear models to spike trains, Dr. David Hofmann, Emory University Beyond Spikes: Insights from local field potential recordings in electrode array data, Dr. Audrey Sederberg, Georgia Tech Quantitative behavioral analysis using dimensionality reduction, Dr. Gordon Berman, Emory University Sincerely, The Organizers Sam Sober, Simon Sponberg, David Hofman ________________________________ This e-mail message (including any attachments) is for the sole use of the intended recipient(s) and may contain confidential and privileged information. If the reader of this message is not the intended recipient, you are hereby notified that any dissemination, distribution or copying of this message (including any attachments) is strictly prohibited. If you have received this message in error, please contact the sender by reply e-mail message and destroy all copies of the original message (including attachments). From masulli at disi.unige.it Tue Apr 25 17:38:10 2017 From: masulli at disi.unige.it (Francesco Masulli) Date: Tue, 25 Apr 2017 23:38:10 +0200 Subject: Connectionists: PhD Summer Course at DIBRIS: Machine Learning: A Computational Intelligence Approach Message-ID: <30b88537-b7a0-9fc4-fbfa-352d5319d040@unige.it> MLCI - PhD Summer Course in Genova, Italy - June 5-9 2017 Machine Learning: A Computational Intelligence Approach (MLCI 2017) Instructors: Francesco Masulli University of Genova - Italy (email: francesco.masulli at unige.it) Stefano Rovetta University of Genova - Italy (email: stefano.rovetta at unige.it) Period: Jun 5-9, 2017 (Mon-Thu 11:00 am - 1:00 pm and 2:00 pm - 4:00 pm; Fri 11:00 am - 1:00 pm only) Number of hours: 18 Summary: The Computational Intelligence is a set of methodologies for information processing inspired by natural systems that in recent decades have been successfully applied to the solution of complex problems. Among them, one can mention the Neural Networks, the Evolutionary Algorithms, the Swarm Intelligence models, the Simulated Annealing, and the Fuzzy sets and Systems. In this course we present some applications of Computational Intelligence methods to supervised and unsupervised problems of Machine Learning. Syllabus: Supervised Classification, Neural Networks, Evaluation of Classifiers, Introduction to Clustering, Statistical Clustering, Fuzzy Sets, Fuzzy Clustering, Evolutionary Algorithms, Evolutionary Clustering, Applications. The enrolment to the course is free, but registration is required by May 29th, 2017 at https://docs.google.com/forms/d/e/1FAIpQLSfcDHwoqBvV6pmLvMaPDWojXAUXYkehaftKP0XKM0q1KeGV0w/viewform?usp=send_form The course will be held in Genova in the heart of the Italian Riviera. For more information see URL http://www.disi.unige.it/person/MasulliF/didattica/ML-CI-PhD/MLCI-2017.html From petzschner at biomed.ee.ethz.ch Tue Apr 25 16:03:15 2017 From: petzschner at biomed.ee.ethz.ch (Petzschner Frederike) Date: Tue, 25 Apr 2017 20:03:15 +0000 Subject: Connectionists: International Computational Psychiatry Course in Zurich References: <96086B9F-0325-484F-9C05-7EBE221DF3CE@biomed.ee.ethz.ch> Message-ID: <3E22BE6B-141A-46B8-B52F-CDDFC71BD044@biomed.ee.ethz.ch> [https://gallery.mailchimp.com/88baa34a20b71f6c68e5a0adc/images/4e6ea8ac-cf68-462a-aca7-ed312a81a76a.png] The 3rd international Computational Psychiatry Course organised by the Translational Neuromodeling Unit (TNU) at the University of Zurich and ETH Zurich will take place from 28th August until 1st September 2017 in Zurich. ABOUT This 5-day course is designed to provide students across fields (neuroscience, psychiatry, physics, biology, psychology....) with the necessary toolkit to master challenges in computational psychiatry research. The CPC is meant to be practically useful for students at all levels (Master, PhD, Postdoc, Senior), who would like to apply modeling techniques to study learning, decision-making or brain physiology in patients with psychiatric disorders. The course will teach not only the theory of computational modeling, but also demonstrate software in application to example data sets. In a spirit of open source and open science the content will be made freely accessible on the web. You can find detailed information on our website or follow us on twitter or facebook. Register here STRUCTURE The course is structured in three key parts. The first day provides a clinical perspective, discussing disease concepts and open questions, days 2-4 will cover concrete computational modeling techniques that can be applied to study aspects of interest for Computational Psychiarty and the last day will cover concrete applications of modeling techniques to Psychiatry. [https://gallery.mailchimp.com/88baa34a20b71f6c68e5a0adc/images/a6301e42-7a17-4cc8-a145-656195fb3d38.png] SPEAKER Woo-Young Ahn Ohio State University Dominik Bach UZH Rafal Bogacz Oxford University Roshan Cools Donders, Nijmegen Jean Daunizeau ICM, Paris Peter Dayan UCL Hanneke den Ouden Donders, Nijmegen Andreea Diaconescu UZH & ETH Michael Frank Brown University Stefan Fr?ssle UZH & ETH Karl Friston UCL Joshua Gordon NIMH Xiaosi Gu University of Texas Helene Haker UZH & ETH Jakob Heinzle UZH & ETH Quentin Huys UZH & ETH Stefan Kaiser University of Geneva Christoph Mathys SISSA, Trieste Saee Paliwal UZH & ETH Martin Paulus Laureate Institute, Tulsa Frederike Petzschner UZH & ETH Dario Sch?bi UZH & ETH Philipp Schwartenbeck UCL Klaas Enno Stephan UZH & ETH Lilian Weber UZH & ETH [https://gallery.mailchimp.com/88baa34a20b71f6c68e5a0adc/images/039d5140-35ff-4ff2-92f9-e74024b9bc9e.png] ORGANIZER Translational Neuromodeling Unit UZH & ETH Zurich Klaas Enno Stephan Frederike Petzschner Administration: Heidi Brunner Contact Person: Gina Paolini -------------- next part -------------- An HTML attachment was scrubbed... URL: From gangluo at cs.wisc.edu Tue Apr 25 16:33:34 2017 From: gangluo at cs.wisc.edu (Gang Luo) Date: Tue, 25 Apr 2017 13:33:34 -0700 Subject: Connectionists: Postdoc position in machine learning at the University of Washington In-Reply-To: <1811b33c-1ddc-9561-432e-b1d40c9119b4@cs.wisc.edu> References: <56ED6924.8070202@cs.wisc.edu> <56ED69AA.4020202@cs.wisc.edu> <1811b33c-1ddc-9561-432e-b1d40c9119b4@cs.wisc.edu> Message-ID: <4f65d392-ac88-bf04-f74f-6ce594db3a4b@cs.wisc.edu> The University of Washington has a postdoc position opening in machine learning. The postdoctoral fellow will work on automatic machine learning model selection and automatically explaining machine learning classification / prediction results. Candidates should have a PhD in machine learning from computer science or related areas, be proficient in Java programming, and be familiar with Weka source code. Experience with Spark/Hadoop is a plus. The initial appointment is for one year with the expectation of extension given satisfactory performance. Applications will be reviewed until the position is filled. Applicants should send a CV (listing programming skills, publications, and a list of 3 or so research references) and statement of research interests to Gang Luo (luogang at uw dot edu) in the Department of Biomedical Informatics and Medical Education. The Luo lab is located near the city center of Seattle. The University of Washington, and the Seattle area in general, has an excellent community and programs in computer science, medical informatics, and related fields. From marcus.hutter at gmx.net Tue Apr 25 19:50:26 2017 From: marcus.hutter at gmx.net (Marcus Hutter) Date: Wed, 26 Apr 2017 09:50:26 +1000 Subject: Connectionists: 2nd call for papers: 10th Conference on Artificial General Intelligence: AGI-17 Message-ID: <58FFE0C2.1040904@gmx.net> Upon popular request, the deadline for submitting papers to the 10th Annual Conference on Artificial General Intelligence, AGI-17 has been extended to May 1. See http://agi-conf.org/2017/call-for-papers/ for further relevant dates. which will be held in Melbourne, Australia (August 15-18, 2017), immediately preceding the IJCAI-17 conference. This is an unprecedentedly exciting time to be working in the AGI field. Today, in 2017, the quest to create AI systems with general intelligence at the human level and beyond is taken more seriously by a broader community than ever before. There has been no better time in history to gather together with other AGI researchers and learn and discuss and share together, regarding how best to take the next steps toward advanced artificial general intelligence. And if you?ve been waiting for an excuse to visit amazing Australia, this is it! Peter Cheeseman is confirmed as keynote speakers. See See http://agi-conf.org/2017/ for additional keynote speakers, workshops and tutorials. We look forward to seeing you in Melbourne! Yours, AGI-17 Conference Chair: ? Ben Goertzel, OpenCog Foundation Program Committee Chairs ? Alexey Potapov, St. Petersburg University ? Tom Everitt, Australian National University Organizing Committee ? Adam Ford, OpenCog Foundation (local co-chair) ? Kevin Korb, Monash University (local co-chair) ? Matt Ikle?, Adams State University AGI Conference Series Chairs: ? Ben Goertzel, OpenCog Foundation ? Marcus Hutter, Australian National University From bezer at upatras.gr Wed Apr 26 02:52:11 2017 From: bezer at upatras.gr (Tasos_UPatras) Date: Wed, 26 Apr 2017 14:52:11 +0800 Subject: Connectionists: job opening in Singapore Institute for Neurotechnology Message-ID: <773A6989-0740-455A-B18D-8930D64D26FD@upatras.gr> JOB OPENINGS In the framework of SINAPSE II (http://www.sinapseinstitute.org/ ) , the Cognitive Engineering team will be launching new projects and several new job positions will be opened. We are inviting researchers of any level with training and previous research experience in Neuroengineering, Computer Sciences and Experimental Psychology/Neuroscience to apply. Positions are available for Research Engineers and Scientist, Research Fellows. Those who are interested can send their CV with a motivation letter to Prof. Tassos Bezerianos (email address tassos.bezerianos at nus.edu.sg). Below the framework of the research era Job Description EEG signals, behavioural data, physiological data (e.g., heart rate, GSR) and facial expression will be collected from participants while they are undertaking computerized tasks and/or virtual-reality games that of real-world complexity. Complex network models and advanced brain connectivity methodology will be applied for biomarkers extraction. Machine learning algorithms will be used to extract and model relevant features from the multimodal data to arrive at an objective and accurate assessment of performance (i.e., individual continuous training portfolio). The next generation training system will be a closed loop, representing learning that takes place continuously both ways between the computer system and the user. Research Skills ? Neuroergonomics/ Experimental Psychology training protocols and programing (e.g., E-prime, PsychoPy) ? Past experience of multimodal Electrophysiological Signals (e.g., EEG, EMG, HRV and GSR) Processing and Analysis ? Mapping and Analysis of Brain Networks Connectivity ? Machine Learning Algorithms to understand brain electrophysiological data ? Computational Intelligence and Neural Networks Algorithms in Cognitive Neuroscience and Neuroergonomics ? Deep Learning Algorithms with applications in Human Machine Interactions Best regards Tassos Anastasios(Tassos) Bezerianos, BS,MS,PhD prof. Electrical and Computer Engineering, NUS Head of Cognitive Engineering Lab SINAPSE , 28 Medical drive #05-COR , Singapore 117456 office:+65 66013054, cell:+65 97738374 -------------- next part -------------- An HTML attachment was scrubbed... URL: From gros at itp.uni-frankfurt.de Wed Apr 26 03:00:34 2017 From: gros at itp.uni-frankfurt.de (Claudius Gros) Date: Wed, 26 Apr 2017 09:00:34 +0200 (CEST) Subject: Connectionists: open PhD position complex systems theory Message-ID: I would like to brink your attention our PhD-program in Computational Neurosciences / Complex Dynamical Systems At the Institute of Theoretical Physics, University of Frankfurt am Main, Field(s): computational neurosciences, complex systems, theory neural networks, simulated robotics, dynamical systems. Application deadline: May 27, 2017 Contact: Prof. Claudius Gros E-mail: cgr[@]itp.uni-frankfurt.de Address: Institute for Theoretical Physics, J.W. Goethe University Frankfurt, We are developing new models and generative principles for the brain using a range of toolsets from dynamical systems theory and computational neurosciences. Examples are new objective functions and generating functionals for the sensory-motor loop, transient state dynamics and self-limiting Hebbian plasticity rules. Several subjects are available for the announced PhD thesis including the generation of attractor metadynamics through short-term synaptic plasticity and/or the generation of motor primitives through self-organized embodiment within the sensory-motor loop. The work will include analytical investigations and numerical simulations of neural networks and/or of simulated robots, using the toolset of dynamical systems theory. The candidate should have a Diploma/Master in physics with an excellent academic track record and good computational skills. Experience or strong interest in the fields of complex systems, computational neurosciences, dynamical systems theory and/or artificial or biological cognitive systems is expected. The degree of scientific research experience is expected to be on the level of a German Diploma/Master. The appointment will start summer 2017, for up to three years. Interested applicants should submit a curriculum vitae and a list of publications, and arrange for letters of reference to be sent to the address above Claudius Gros http://www.itp.uni-frankfurt.de/~gros ### ### Prof. Dr. Claudius Gros ### http://itp.uni-frankfurt.de/~gros ### ### Complex and Adaptive Dynamical Systems, A Primer ### A graduate-level textbook, Springer (2008/10/13/15) ### ### Mageia, das Buch der Farben ### http://www.buchderfarben.de ### From tarek.besold at googlemail.com Wed Apr 26 04:53:49 2017 From: tarek.besold at googlemail.com (Tarek R. Besold) Date: Wed, 26 Apr 2017 10:53:49 +0200 Subject: Connectionists: CfP: Modelling and Reasoning in Context (MRC) @ IJCAI-2017 // Submission deadline: May 16, 2017 Message-ID: <002801d2be6a$9f7fcf50$de7f6df0$@gmail.com> ======================================================================= Call for Papers: MRC 2017 The 9th International Workshop on Modelling and Reasoning in Context In conjunction with IJCAI 2017 The International Joint Conference on Artificial Intelligence Melbourne, Australia August 19-25, 2017 Submission deadline: May 16, 2017 Information: http://mrc.kriwi.de/ Submissions: https://easychair.org/conferences/?conf=mrc2017 ======================================================================= Join us in Melbourne ======================================================================= Context plays an increasingly important role in modern IT applications. Context sensitivity and awareness is becoming essential, not only for mobile systems, ambient computing and the internet of things, but also for a wide range of other areas, such as learning and teaching solutions, collaborative software, web engineering, mobility logistics and health care work-flow. Advancing the use and understanding of context beyond stimuli-response systems suggests a knowledge perspective on modelling and reasoning. For autonomous systems, recognising contextual information is vital if the system is to exhibit behaviour that is appropriate for the situation at hand. At the same time, such systems might change contextual parameters that are relevant for human and non-human agents present. Therefore, it is important to be able to predict changes in context that are due to the actions of intelligent systems to avoid clashing with user needs and expectations. >From a general AI perspective, one of the challenges is to integrate context with other types of knowledge as a major additional source for reasoning, decision-making, and adaptation and to form a coherent and versatile architecture. There is a common understanding that achieving desired behaviour from intelligent systems will depend on the ability to represent and manipulate information about a rich range of contextual factors. These factors may include not only physical characteristics of the task environment, but, possibly more importantly, many other aspects including cognitive factors such as the knowledge states (of both the application and user) or emotions, and social factors such as networks, relations, roles, and hierarchies. This representation and reasoning problem presents research challenges to which methodologies derived from areas such as artificial intelligence, knowledge management, human-computer interaction, semiotics and psychology can contribute solutions. ======================================================================= Workshop Objectives ======================================================================= MRC aims to bring together researchers and practitioners from different communities, both in industry and academia, to study, understand, and explore issues surrounding context and to share their problems, techniques and success stories across different areas. By considering modelling and reasoning approaches for contextualised systems from a broad range of areas, the workshop will facilitate the sharing of problems, techniques, and solutions. The workshop covers different understandings of what context is, different approaches to modelling context, mechanisms and techniques for (structured) storage of contextual information, effective ways to retrieve it, and methods for enabling integration of context and application knowledge. MRC invites papers on different aspects of context, on theory as well as on applications. We particularly invite contributions on topics of autonomy and context. We also explicitly invite contributions from other fields of study in order to further trans- and interdisciplinary approaches. MRC provides a forum to exchange and discuss issues and ideas in a friendly, cooperative environment. Areas of interest include, but are not limited to: * Context and autonomy * Context and smart data * Generic and specific context models * Explicit representations of context * Context and visualisation * Trans- and interdisciplinary issues of context * Representation of and reasoning with uncertainty * Retrieval of context and context information * Socio-technical issues * Evaluation of contextualised applications * Explanation and context * Information ageing * Context focusing and context switching * Context management * Context awareness and context-sensitivity ======================================================================= Submissions ======================================================================= Submitted papers must be prepared according to the formatting guidelines, LaTeX Styles and Word template for IJCAI 2017, and submitted electronically in PDF format only through the EasyChair pages for MRC 2017. Authorship does not need to be anonymous, but you are free to submit papers with identifying information removed. Submissions must be original, and should not have been formally published or accepted for publication elsewhere. We also invite longer versions of papers published in short form elsewhere. Papers have to be submitted on the 16th of May, 2017 at the latest. Long papers are allowed eight (8) pages. An additional page containing the list of references is allowed, as long as this ninth page contains only references. Short papers, not exceeding three (3) pages, may be submitted for short oral presentation. Three members of the program committee will review each submission. A review form will direct committee members to evaluate submissions for appropriateness, technical strength, originality, presentation, and overall evaluation, as well as recording the reviewer's confidence in the topic. Author notification will be sent out on the 6th of June, 2017. The proceedings of the workshop will be published electronically and made freely available. Depending on the nature of submissions, the proceedings will be published through a suitable channel such as the CEUR Workshop Proceedings. Authors of accepted papers might be invited to submit extended versions for inclusion in a special journal issue on contextualised systems, if justified by the quantity and quality of submissions. The authors will be responsible for producing camera-ready copies of papers in PDF format, conforming to the formatting guidelines, for inclusion in the published proceedings. At least one author of each accepted paper is required to attend the workshop to present the contribution. ======================================================================= Important Dates ======================================================================= Papers due: May 16 Notification: June 6 Camera-ready: June 20 MRC Workshop: August 19.-21. (one day, exact date tbd) ======================================================================= Websites ======================================================================= More information about MRC and the paper submission process as well as paper templates can be found on the workshop website at: http://mrc.kriwi.de/ Submission System: https://easychair.org/conferences/?conf=mrc2017 The IJCAI 2017 main conference website has more information about the location and registration process: http://ijcai-17.org/ ======================================================================= Organisation ======================================================================= Chairs J?rg Cassens Institute for Mathematics and Applied Informatics University of Hildesheim, Germany Rebekah Wegener Institute for English and American Studies RWTH Aachen University, Germany Audaxi - Discover a better way to learn. Sydney, Australia Anders Kofod-Petersen Alexandra Institute Copenhagen, Denmark Department of Computer and Information Sciences Norwegian University of Science and Technology Trondheim, Norway Contact all chairs at: mrc2017 at kriwi.de Program Committee (subject to amendments) Juan Carlos Augusto Middlesex University, UK Tarek Richard Besold University of Bremen, Germany Henning Christiansen Roskilde University, Denmark Adrian Clear Northumbria University, Newcastle University, UK Bozidara Cvetkovic Jozef Stefan Institute, Slovenia Martin Christof Kindsm?ller University of Applied Sciences Brandenburg, Germany Christian Kohlschein RWTH Aachen University, Germany David Leake Indiana University, USA Ana Gabriela Maguitman Universidad Nacional del Sur, Argentina Tobias Meisen RWTH Aachen University, Germany Stella Neumann RWTH Aachen University, Germany Maite Taboada Simon Fraser University Vancouver, Canada ======================================================================= Background to MRC ======================================================================= MRC is an interdisciplinary workshop with a focus on applications within computer science. Because of this focus the workshop primarily attracts participants from within the computer science community and specifically within artificial intelligence. However, MRC has always had a strong interdisciplinary appeal and does draw from fields such as linguistics, semiotics, philosophy, mathematics, cognitive science, social sciences and psychology as well as various sub-fields within computer science. MRC has traditionally been held at either the bi-annual International and Interdisciplinary Conference on Modeling and Using Context (CONTEXT) or AI-related conferences such as ECAI, IJCAI and AAAI. These workshops have been successful in raising awareness about the importance of context as a major issue for future intelligent systems, especially for the use of mobile devices and current research on ubiquitous computing. At the same time, advances in methodologies for modelling and retrieving context have been made and MRC continues to provide a venue for the discussion and furthering of research into issues surrounding context. MRC 2017 will be held at the the International Joint Conference on Artificial Intelligence (IJCAI 2017) in Melbourne, Australia. The main conference website has more information about the location and the registration process as well as other workshops. Participants for MRC will have to register for IJCAI. In particular, at least one author of any paper accepted for presentation at MRC will have to register for the workshop at IJCAI. ======================================================================== Agenda ======================================================================== The workshop will last one full day and will have three main types of interaction. The first type will consist of short presentations of the accepted papers. The goal of these sessions is to introduce the work of all the participants. The second type will consist of two panel discussion sessions, each dedicated to one specific issue. The suggested issues are "Recognising Context in Autonomous Systems" and "Changing Context with Autonomous Systems", but are subject to change dependent on the interests of the attendees and the nature of submissions. The goal of these panels is to discuss the various approaches to each of these basic issues and to identify the critical problems in need of attention and the most promising research directions. The workshop will be concluded with the last type, an open, but guided discussion summarising the most important lessons learned. Industry representatives are invited to display context related demonstrations during the workshop. A detailed agenda will be published on our website before the workshop. -- Digital Media Lab Center for Computing and Communication Technologies (TZI) University of Bremen Email: Tarek.Besold at uni-bremen.de Web: http://www.cat-ai.org From yang at maebashi-it.org Wed Apr 26 08:37:51 2017 From: yang at maebashi-it.org (Yang) Date: Wed, 26 Apr 2017 21:37:51 +0900 Subject: Connectionists: [Deadline Approaching] BI'17 - Call for Papers Message-ID: [Apologies if you receive this more than once] CALL FOR PAPERS The 2017 International Conference on Brain Informatics (BI'17) THE 10TH ANNIVERSARY OF BRAIN INFORMATICS November 16-18, 2017, Beijing, China Homepage: http://bii.ia.ac.cn/bi-2017/ --------------------------------------------------------------------------------- [EXTENDED!!] FULL PAPER SUBMISSION DEADLINE: May 1, 2017 --------------------------------------------------------------------------------- *** KEYNOTE SPEAKERS *** Alan Evans (McGill University, Canada) Tom Mitchell (Carnegie Mellon University, US) Yanchao Bi (Beijing Normal University, China) Adam Ferguson (University of California San Francisco, US) Bin Hu (Lanzhou University, China) Michael Hawrylycz (Allen Institute for Brain Science, US) Dinggang Shen (University of North Carolina at Chapel Hill, US) ================================================== Brain Informatics (BI) conference series provides a premier forum to bring together researchers and practitioners in the fields of neuroscience, cognitive science, computer science, data science, artificial intelligence, information communication technologies, and neuroimaging technologies. BI'17 addresses the computational, cognitive, physiological, biological, physical, ecological and social perspectives of brain informatics, as well as topics relating to mental health and well-being. It also welcomes emerging information technologies, including but not limited to Internet/Web of Things (IoT/WoT), cloud computing, big data analytics and interactive knowledge discovery related to brain research. BI'17 also encourages submissions that explore how advanced computing technologies are applied to and make a difference in various large-scale brain studies and their applications. BI'17 welcomes paper submissions (full paper and abstract submissions). Both research and application papers are solicited. All submitted papers will be reviewed on the basis of technical quality, relevance, significance and clarity. Accepted full papers will be included in the proceedings by Springer LNCS/LNAI. Workshop, Special-Session and Tutorial proposals, and Industry/Demo-Track papers are also welcome. The organizers of Workshops and Special-Sessions are invited to prepare a book proposal based on the topics of the workshop/special session for possible book publication in the Springer-Nature Brain Informatics & Health book series (http://www.springer.com/series/15148). *** Topics and Areas *** Track 1: Cognitive and Computational Foundations of Brain Science Track 2: Investigations of Human Information Processing Systems Track 3: Brain Big Data Analytics, Curation and Management Track 4: Informatics Paradigms for Brain and Mental Health Track 5: Brain-Inspired Intelligence and Computing IMPORTANT DATES (Extended): =========================== May 1, 2017: Submission deadline for full papers May 20, 2017: Submission deadline for workshop/special-session papers June 10, 2017: Notification of full paper acceptance June 20, 2017: Notification of workshop/special-session paper acceptance June 20, 2017: Submission deadline for abstracts July 10, 2017: Notification of abstract acceptance November 16, 2017: Tutorials, workshops and special-sessions November 17-18, 2017: Main conference PAPER SUBMISSIONS & PUBLICATIONS: ================================= TYPE-I (Full Paper Submissions; Submission Deadline: May 1, 2017): Papers need to have up to 10 pages in LNCS format: http://www.springer.com/computer/lncs?SGWID=0-164-6-793341-0 All full length papers accepted (and all special sessions' full length papers) will be published by Springer as a volume of the series of LNCS/LNAI. TYPE-II (Abstract Submissions; Submission Deadline: June 20, 2017): Abstracts have a word limit of 500 words. Experimental research is particularly welcome. Accepted abstract submissions will be included in the conference program, and will be published as a single, collective proceedings volume. Title: Include in the title of the abstract all words critical for a subject index. Write your title in sentence case (first letter is capitalized; remaining letters are lower case). Do not bold or italicize your full title. Author: List all authors who contributed to the work discussed in the abstract. The presenting author must be listed in the first author slot of the list. Be prepared to submit contact information as well as conflict of interest information for each author listed. Abstract: Enter the body of the abstract and attach any applicable graphic files or tables here. Do not re-enter the title, author, support, or other information that is collected in other steps of the submission form. Presentation Preference: Authors may select from three presentation formats when submitting an abstract: "poster only", "talk preferred" or "no preference." The "talk preferred" selection indicates that you would like to give a talk, but will accept a poster format if necessary. Marking "poster only" indicates that you would not like to be considered for an oral-presentation session. Selecting "no preference" indicates the author's willingness to be placed in the best format for the program. Each paper or abstract requires one sponsoring attendee (i.e. someone who registered and is attending the conference). A single attendee can not sponsor more than two abstracts or papers. Oral presentations will be selected from both full length papers and abstracts. *** Post-Conference Journal Publication *** The Brain Informatics conferences have the formal ties with Brain Informatics journal (Springer-Nature, http://www.springer.com/40708). Accepted papers from the conference, including their Best Paper Award papers, will be expended and revised for possible inclusion in the Brain Informatics journal each year. It is fully sponsored and no any article-processing fee charged for authors of Brain Informatics conference. *** Awards *** Best Paper awards will be conferred at the conference on the authors of (1) the best research paper and (2) the best student paper. ORGANIZERS ========== General Chairs Bo Xu (Chinese Academy of Sciences, China) Hanchuan Peng (Allen Institute for Brain Sciences, USA) Qingming Luo (Huazhong University of Science and Technology, China) Program Committee Chairs Yi Zeng (Chinese Academy of Sciences, China) Yong He (Beijing Normal University, China) Jeanette Kotaleski (Karolinska Institute, Sweden) Maryann Martone (University of California, San Diego, USA) Organizing Chairs Ning Zhong (Maebashi Institute of Technology, Japan, and Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China Jianzhou Yan (Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Shengfu Lu (Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Workshop/Special-Session Chairs An'an Li (Huazhong University of Science and Technology, China) Sen Song (Tsinghua University, China) Tutorial Chair Wenming Zheng (South East University, China) Publicity Chairs Tielin Zhang (Chinese Academy of Sciences, China) Shouyi Wang (University of Texas at Arlington, USA) Yang Yang (Maebashi Institute of Technology, Japan, and Beijing Advanced Innovation Center for Future Internet Technology, Beijing University of Technology, China) Steering Committee Chairs Ning Zhong (Maebashi Institute of Technology, Japan) Hanchuan Peng (Allen Institute for Brain Science, USA) *** Contact Information *** tielin.zhang at ia.ac.cn shouyiw at uta.edu yang at maebashi-it.org -------------- next part -------------- An HTML attachment was scrubbed... URL: From shobeir at gmail.com Wed Apr 26 18:44:30 2017 From: shobeir at gmail.com (Shobeir Fakhraei) Date: Wed, 26 Apr 2017 15:44:30 -0700 Subject: Connectionists: [CFP] KDD MLG 2017 - 13th International Workshop on Mining and Learning with Graphs Message-ID: 13th International Workshop on Mining and Learning with Graphs (MLG 2017) August 14, 2017 - Halifax, Nova Scotia, Canada (co-located with KDD 2017) http://www.mlgworkshop.org/2017/ Submission Deadline: May 26, 2017 Call for papers: This workshop is a forum for exchanging ideas and methods for mining and learning with graphs, developing new common understandings of the problems at hand, sharing of data sets where applicable, and leveraging existing knowledge from different disciplines. The goal is to bring together researchers from academia, industry, and government, to create a forum for discussing recent advances graph analysis. In doing so, we aim to better understand the overarching principles and the limitations of our current methods and to inspire research on new algorithms and techniques for mining and learning with graphs. To reflect the broad scope of work on mining and learning with graphs, we encourage submissions that span the spectrum from theoretical analysis to algorithms and implementation, to applications and empirical studies. As an example, the growth of user-generated content on blogs, microblogs, discussion forums, product reviews, etc., has given rise to a host of new opportunities for graph mining in the analysis of social media. We encourage submissions on theory, methods, and applications focusing on a broad range of graph-based approaches in various domains. Topics of interest include, but are not limited to: Theoretical aspects: * Computational or statistical learning theory related to graphs * Theoretical analysis of graph algorithms or models * Sampling and evaluation issues in graph algorithms * Analysis of dynamic graphs * Relationships between MLG and statistical relational learning or inductive logic programming Algorithms and methods: * Graph mining * Kernel methods for structured data * Probabilistic and graphical models for structured data * (Multi-) Relational data mining * Methods for structured outputs * Statistical models of graph structure * Combinatorial graph methods * Spectral graph methods * Semi-supervised learning, active learning, transductive inference, and transfer learning in the context of graph Applications and analysis: * Analysis of social media * Social network analysis * Analysis of biological networks * Knowledge graph construction * Large-scale analysis and modeling We invite the submission of regular research papers (6-8 pages) as well as position papers (2-4 pages). We recommend papers be formatted according to the standard double-column ACM Proceedings Style. All papers will be peer-reviewed, single-blinded Authors whose papers are accepted to the workshop will have the opportunity to participate in a spotlight and poster session, and some set may also be chosen for oral presentation. The accepted papers will be published online and will not be considered archival. Timeline: Paper Submission Deadline: May 26, 2017 Author Notification: June 16, 2017 Final Version: June 25, 2017 Workshop: August 14, 2017 Submission instructions can be found on http://www.mlgworkshop.org/2017/ Please send enquiries to chair at mlgworkshop.org We look forward to seeing you at the workshop! Organizers: Michele Catasta (EPFL / Stanford) Shobeir Fakhraei (University of Maryland) Danai Koutra (University of Michigan) Silvio Lattanzi (Google) Julian McAuley (UC San Diego) Jennifer Neville (Purdue University) To receive updates about the current and future workshops and the Graph Mining community, please join the mailing list: https://groups.google.com/d/forum/mlg-list or follow the twitter account: https://twitter.com/mlgworkshop Best Regards, -- MLG Organizers -------------- next part -------------- An HTML attachment was scrubbed... URL: From nicola.bellotto at gmail.com Thu Apr 27 05:07:02 2017 From: nicola.bellotto at gmail.com (Nicola Bellotto) Date: Thu, 27 Apr 2017 10:07:02 +0100 Subject: Connectionists: 22nd BMVA Computer Vision Summer School 2017 - Registration open Message-ID: <1535630.KLsjsyu1eo@robbie> The registration for the 22nd BMVA Computer Vision Summer School 2017 is now open! Important Dates: Early registration: 2 June 2017 Late registration: 23 June 2017 Summer school: Monday 3 July - Friday 7 July 2017, University of Lincoln, UK http://cvss.blogs.lincoln.ac.uk twitter: @BmvaCvss 1 week of intensive training - Over 2 decades of BMVA tradition British Machine Vision Association (BMVA) runs an annual Computer Vision Summer School aimed at PhD students in their first year, though it will be beneficial to other researchers at an early stage in their careers. Despite the title, students from non-UK universities are welcome to attend, as well as students from UK universities. Places are limited to ensure good interaction in lab classes. The 2017 Summer School will take place at the University of Lincoln, UK, between 3 July and 7 July. It will consist of an intensive week of lectures and lab sessions covering a wide range of topics in Computer Vision. Lecturers are researchers in field from some of the most active research groups in the UK and abroad. In addition to the academic content, the Summer School provides a networking opportunity for students to interact with their peers, and to make contacts among those who will be the active researchers of their own generation. Confirmed BMVA Summer School Speakers: Adrian Clark Universty of Essex Davide Scaramuzza University of Zurich Dima Damen University of Bristol Eng-Jon Ong University of Surrey Federica Bogo Microsoft HoloLens Graham Finlayson University of East Anglia Krystian Mikolajczyk Imperial College London Michal Mackiewicz University of East Anglia Nicola Bellotto University of Lincoln Nicolas Pugeault University of Exeter Robert Deaves Dyson Roy Davies Royal Holloway, University of London Tae-Kyun Kim Imperial College London Tim Cootes The University of Manchester Toby Breckon Durham University Xianghua Xie Swansea University Summer School Programme can be found online: http://cvss.blogs.lincoln.ac.uk/programme/ Organisers: Dr Nicola Bellotto, Dr Tryphon Lambrou, Dr Michael Mangan (University of Lincoln) Dr Michal Mackiewicz (University of East Anglia) Contact: cvss2017 at lincoln.ac.uk -- Dr Nicola Bellotto School of Computer Science University of Lincoln Brayford Pool Lincoln, LN6 7TS United Kingdom Tel: +44 (0)1522 886080 http://webpages.lincoln.ac.uk/nbellotto/ From eilif.mueller at epfl.ch Thu Apr 27 09:48:31 2017 From: eilif.mueller at epfl.ch (emuller) Date: Thu, 27 Apr 2017 15:48:31 +0200 Subject: Connectionists: Workshop announcement: HBP Hippocamp 2017, May 23-24 @ EITN, Paris, France Message-ID: <20170427154831.1460ef71@rosmarin> [Apologies for cross-posting] Dear Colleagues, I write to announce an upcoming workshop: HBP Hippocamp 2017: Collaborative and Integrative Modeling of Hippocampus to be held May 23rd - 24th at the European Institute for Theoretical Neuroscience (EITN) in Paris, France, supported in part by the Human Brain Project ( http://www.humanbrainproject.eu/ ). In short, the objective of the workshop is to highlight existing modeling efforts and strategic datasets for modeling the hippocampus, and define a common integrative and collaborative modeling target including HBP and community stakeholders. The ultimate aim is to catalyze an inclusive community-driven integration and release process for open pre-competitive reference models of hippocampus which are well documented and validated (supported in part by IT infrastructure funded by HBP). Involvement from the community interested in models of hippocampus is highly encouraged. To keep the meeting focused on the task, participation will be limited to ~45 people, so registration is required. For more details, please consult the meeting website at http://neuralensemble.org/meetings/Hippocamp2017/ for registration and further information. Thanks in advance for your interest, and looking forward to your participation. Best regards, Eilif Muller On behalf of the organizing committee: Alain Destexhe, Katherine Fregnac, Szabolcs K?li, Audrey Mercer, Michele Migliore, Eilif Muller, Armando Romani, Katrien Van Look ------------- Dr. Eilif Muller Section Manager - Simulation Neuroscience - Cells & Circuits Task Leader - Community Engagement - HBP Brain Simulation SP EPFL - Blue Brain Project Biotech Campus Chemin des Mines 9 1202 Geneva Switzerland Tel: +41 21 693 0698 Fax: +41 21 693 5350 www: http://bluebrain.epfl.ch/page-77926-en.html www: http://neuralensemble.org/people/eilifmuller From acanet at cvc.uab.es Fri Apr 28 04:18:49 2017 From: acanet at cvc.uab.es (Alexandra Canet) Date: Fri, 28 Apr 2017 10:18:49 +0200 (CEST) Subject: Connectionists: Post Doc Position - ADAS team - Barcelona Message-ID: <9586376.18162.1493367529477.open-xchange@srvopenx.cvc.uab.es> Post Doc Position within the ADAS group at the Computer Vision Center The ADAS group at the Computer Vision Center based in the UAB Campus, Bellaterra in Barcelona is looking for a motivated Post doc in Computer Vision and deep learning in order to join their expanding team. Experience: The candidate should possess a PhD in computer vision or machine learning, and have a strong publication record. We especially encourage candidates with experience in Deep Learning to apply, but other backgrounds in machine learning will also be considered. The applicants are expected to be fluent in both oral and written communication in English. They should work well in a team, while demonstrating initiative and independence, and willing to supervise PhD students. Post doc position: The successful applicant will join the ADAS team based at Bellaterra. He/She will be working within the coordinator team of the Elektra project, a project compiling a great number of research groups from different Catalan Centers and universities with the possibility of supervising PhD students and the opportunity of opening new research projects at an international scale. The successful candidate will also be able to choose the research area, within the team, that most adapts to its needs, or adopt a more technical role, also depending in the motivation of the person. We are offering a very flexible position that will be perfect for a polyvalent person looking to participate into projects with a global view and with the spirit of contributing significantly to the project, not only at a research level, but also in the petition of national and international grant proposals, or in the training of PhD and master students. Salary: 30.000 ? 36.000? (gross salary) For further information contact Dr. David V?zquez at dvazquez at cvc.uab.es - - Alexandra Canet Communications Officer Computer vision centre acanet at cvc.uab.es + 34 93 581 30 73 Edifici O ? Campus UAB 08193 Bellaterra, Barcelona -------------- next part -------------- An HTML attachment was scrubbed... URL: From alessandra.sciutti at gmail.com Fri Apr 28 05:34:32 2017 From: alessandra.sciutti at gmail.com (Alessandra Sciutti) Date: Fri, 28 Apr 2017 11:34:32 +0200 Subject: Connectionists: CFP: Special issue @ IEEE Transactions on Cognitive and Developmental Systems (TCDS) Message-ID: <004701d2c002$a48a7290$ed9f57b0$@gmail.com> Apologies for multiple postings ********************************************************************************************************************************** CALL FOR PAPERS IEEE Transactions on Cognitive and Developmental Systems (TCDS) Special Issue on "A sense of interaction in humans and robots: from visual perception to social cognition" http://cis.ieee.org/ieee-transactions-on-cognitive-and-developmental-systems.html Guest Editors Alessandra Sciutti ( alessandra.sciutti at iit.it) Nicoletta Noceti ( nicoletta.noceti at unige.it) ********************************************************************************************************************************** Important Dates 30 April 2017 - Deadline for title and abstract submission 30 June 2017 - Deadline for manuscript submission 15 September 2017 - Notification to authors 15 October 2017- Deadline for submission of revised manuscripts 15 November 2017 - Final decisions Winter 2017 - Special Issue Publication in IEEE TCDS Aim and Scope Since early infancy, the ability of humans at interacting with each other is substantially strengthened by vision, with several visual processes tuned to support prosocial behaviour. For instance, a natural predisposition to look at human faces or to detect biological motion is present at birth. More refined abilities - as the understanding and anticipation of others' actions and intentions- progressively develop with age, leading, in a few years, to a full capability of interaction based on mutual understanding, joint coordination and collaboration. A key challenge of robotics research nowadays is to provide artificial agents with similar advanced visual perception skills, with the ultimate goal of designing machines able to recognise and interpret both explicit and implicit communication cues embedded in human behaviours. These achievements pave the way for the large-scale use of Human-Robot Interaction applications on a variety of contexts, ranging from the design of personal robots, to physical, social and cognitive rehabilitation. This special issue is aimed at gathering contributions from different research communities, including Robotics, Computer Vision, Cognitive Science, Psychology and Neuroscience, to create a comprehensive perspective on the topic of social interaction in humans and robots, with a specific reference to the role of human and machine perceptual abilities in supporting interactive skills. Contributions may focus on human visual perception for interaction on the one hand, and on the implementation of machine vision methods aimed at improving human-human or human-machine interaction on the other. This multidisciplinary effort is expected to bring innovations in fields as social robotics and human- machine interaction, but also in domains like developmental psychology and cognitive rehabilitation. Themes Understanding how efficient and seamless collaborations can be achieved among human partners and which are the explicit and implicit cues intuitively adopted in human cooperation would provide key insights on how to model a similar ability in the future interactive machines. This special issue wants to address these relevant questions both from the side of the study of human perception for interaction and from the implementation perspective, considering new algorithms and modelling efforts brought forward to improve current robotics. Topics include (but are not limited to) the following * Computational Models of Visual Perception for Interaction * Perception of Intentions and Actions * Vision for Robotics and Artificial intelligence in Social Contexts * Neuroscientific bases of Interaction * Development of Social Cognition in Humans * Social Signals Recognition and Analysis * Human-Robot Interaction * Emotion Recognition for Interaction * Machine Learning for Visual Perception Submission: Manuscripts should be prepared according to the "Information for Authors" of the journal found at: http://cis.ieee.org/ieee-transactions-on-cognitive-and-developmental-systems/131-ieee-transactions-on-autonomous-mental-development-information-for-authors.html and submissions should be made through the IEEE TCDS Manuscript center at https://mc.manuscriptcentral.com/tcds-ieee selecting the category "SI: Human Robot Interaction". Prospective authors are kindly asked to contact the guest editors by sending an e-mail to alessandra.sciutti at iit.it , and nicoletta.noceti at unige.it providing a tentative title and abstract of the contribution by 30 April, 2017. ---------------------------------------- Alessandra Sciutti (PhD) Researcher, Robotics Brain and Cognitive Sciences Unit Istituto Italiano di Tecnologia Center for Human Technologies Via Enrico Melen 83, Building B 16152 Genova, Italy tel: +39 010 8172 210 email: alessandra.sciutti at iit.it website: https://www.iit.it/people/alessandra-sciutti From congress at incf.org Fri Apr 28 03:40:53 2017 From: congress at incf.org (congress) Date: Fri, 28 Apr 2017 09:40:53 +0200 Subject: Connectionists: Welcome to Neuroinformatics 2017 in Kuala Lumpur! Message-ID: Dear all, The annual INCF Congress provides a meeting place for researchers in all fields related to neuroinformatics. Join us for keynotes from top neuroscientists, community sessions and poster- and demo sessions. This meeting is especially useful for anyone who is developing neuroscience tools and methods, working on better ways to handle neuroscience data, and looking for cross-disciplinary collaborations. *http://neuroinformatics2017.org/* The deadline for abstract submissions for Neuroinformatics 2017 is approaching, you can read more and submit your abstract by* April 30* here:* http://neuroinformatics2017.org/abstracts/ * Registration for Neuroinformatics 2017 is open and early bird registration fees are available until *July 2*, find out more: *http://neuroinformatics2017.org/register/ * INCF is calling for community proposals for Special Interest Group meetings to be held on August 22, the day after the Congress. INCF is looking to broaden community engagement through the creation of Special Interest Groups (SIGs) which are suggested and led by the community. Read more about SIGs here: *https://www.incf.org/collaborate/incf-special-interest-groups* Please spread this information to anyone you feel would be interested in attending. *The International Neuroinformatics Coordinating Facility (INCF) is an international non-profit organization devoted to advancing the field of neuroinformatics and global collaborative brain research. Learn more about INCF www.incf.org * *We look forward to seeing you in Kuala Lumpur!* [image: Inline image 1] Best Regards INCF Secretariat -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... Name: NI2017-flyer-3rd version.jpg Type: image/jpeg Size: 1037748 bytes Desc: not available URL: From j.jordan at fz-juelich.de Fri Apr 28 08:39:44 2017 From: j.jordan at fz-juelich.de (Jakob Jordan) Date: Fri, 28 Apr 2017 14:39:44 +0200 Subject: Connectionists: =?utf-8?b?W0FOTl0gMTDhtYDhtLQgQWR2YW5jZWQgU2Np?= =?utf-8?q?entific_Programming_in_Python_in_Nikiti=2C_Greece=2C_August_28?= =?utf-8?q?=E2=80=94September_2=2C_2017?= Message-ID: <5c3e2e02-5858-475e-5609-0506bb171791@fz-juelich.de> 10?? Advanced Scientific Programming in Python ============================================== a Summer School by the G-Node and the Municipality of Sithonia Scientists spend more and more time writing, maintaining, and debugging software. While techniques for doing this efficiently have evolved, only few scientists have been trained to use them. As a result, instead of doing their research, they spend far too much time writing deficient code and reinventing the wheel. In this course we will present a selection of advanced programming techniques and best practices which are standard in the industry, but especially tailored to the needs of a programming scientist. Lectures are devised to be interactive and to give the students enough time to acquire direct hands-on experience with the materials. Students will work in pairs throughout the school and will team up to practice the newly learned skills in a real programming project ? an entertaining computer game. We use the Python programming language for the entire course. Python works as a simple programming language for beginners, but more importantly, it also works great in scientific simulations and data analysis. We show how clean language design, ease of extensibility, and the great wealth of open source libraries for scientific computing and data visualization are driving Python to become a standard tool for the programming scientist. This school is targeted at Master or PhD students and Post-docs from all areas of science. Competence in Python or in another language such as Java, C/C++, MATLAB, or Mathematica is absolutely required. Basic knowledge of Python and of a version control system such as git, subversion, mercurial, or bazaar is assumed. Participants without any prior experience with Python and/or git should work through the proposed introductory material before the course. We are striving hard to get a pool of students which is international and gender-balanced. You can apply online: https://python.g-node.org Application deadline: 23:59 UTC, May 31, 2017. There will be no deadline extension, so be sure to apply on time ;-) Be sure to read the FAQ before applying. Participation is for free, i.e. no fee is charged! Participants however should take care of travel, living, and accommodation expenses by themselves. Date & Location =============== August 28?September 2, 2017. Nikiti, Sithonia, Halkidiki, Greece Program ======= ? Best Programming Practices ? Best practices for scientific programming ? Version control with git and how to contribute to open source projects with GitHub ? Best practices in data visualization ? Software Carpentry ? Test-driven development ? Debugging with a debuggger ? Profiling code ? Scientific Tools for Python ? Advanced NumPy ? Advanced Python ? Decorators ? Context managers ? Generators ? The Quest for Speed ? Writing parallel applications ? Interfacing to C with Cython ? Memory-bound problems and memory profiling ? Data containers: storage and fast access to large data ? Practical Software Development ? Group project Preliminary Faculty =================== ? Francesc Alted, freelance consultant, author of Blosc, Castell? de la Plana, Spain ? Pietro Berkes, NAGRA Kudelski, Lausanne, Switzerland ? Zbigniew J?drzejewski-Szmek, Krasnow Institute, George Mason University, Fairfax, VA USA ? Eilif Muller, Blue Brain Project, ?cole Polytechnique F?d?rale de Lausanne Switzerland ? Juan Nunez-Iglesias, Victorian Life Sciences Computation Initiative, University of Melbourne, Australia ? Rike-Benjamin Schuppner, Institute for Theoretical Biology, Humboldt-Universit?t zu Berlin, Germany ? Nicolas P. Rougier, Inria Bordeaux Sud-Ouest, Institute of Neurodegenerative Disease, University of Bordeaux, France ? Bartosz Tele?czuk, European Institute for Theoretical Neuroscience, CNRS, Paris, France ? St?fan van der Walt, Berkeley Institute for Data Science, UC Berkeley, CA USA ? Nelle Varoquaux, Berkeley Institute for Data Science, UC Berkeley, CA USA ? Tiziano Zito, freelance consultant, Berlin, Germany Organizers ========== For the German Neuroinformatics Node of the INCF (G-Node) Germany: ? Tiziano Zito, freelance consultant, Berlin, Germany ? Zbigniew J?drzejewski-Szmek, Krasnow Institute, George Mason University, Fairfax, USA ? Jakob Jordan, Institute of Neuroscience and Medicine (INM-6), Forschungszentrum J?lich GmbH, Germany ? Etienne Roesch, Centre for Integrative Neuroscience and Neurodynamics, University of Reading, UK Website: https://python.g-node.org Contact: python-info at g-node.org -- Jakob Jordan Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience & Institute for Advanced Simulation (IAS-6) Theoretical Neuroscience J?lich Research Centre and JARA J?lich, Germany tel.: +49 2461 61-96450 http://www.csn.fz-juelich.de/ ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ Forschungszentrum Juelich GmbH 52425 Juelich Sitz der Gesellschaft: Juelich Eingetragen im Handelsregister des Amtsgerichts Dueren Nr. HR B 3498 Vorsitzender des Aufsichtsrats: MinDir Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr.-Ing. Wolfgang Marquardt (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ From mfasli at essex.ac.uk Fri Apr 28 12:23:31 2017 From: mfasli at essex.ac.uk (Fasli, Maria) Date: Fri, 28 Apr 2017 16:23:31 +0000 Subject: Connectionists: Big Data And Analytics Summer School, University of Essex, UK Message-ID: ESSEX BIG DATA AND ANALYTICS SUMMER SCHOOL INSTITUTE FOR ANALYTICS AND DATA SCIENCE 24th July - 4th August 2017 http://www.essex.ac.uk/iads/events/summer-school.aspx University of Essex, Wivenhoe Park, Colchester, United Kingdom The Essex Big Data and Analytics Summer School is a multidisciplinary research training event and forum for knowledge exchange and networking for graduates, postgraduates, researchers and professionals in the emerging fields of data science, analytics and big data who would like to find out more or be updated on the current trends and developments in this exciting and fast-developing field. The Summer School is organized by the Institute for Analytics and Data Science (IADS) at the University of Essex, UK. Courses This is the third year that the Big Data and Analytics Summer School is running and following the successful events in previous years, the programme covers a range of topics from the curation and management of big data, advanced techniques and methods including artificial intelligence and statistical methods, and applications of big data in fields ranging from business and finance to bioinformatics. Courses are offered for participants with a science, social science or humanities background at different levels (Beginners, Intermediate or Advanced). Courses range from theoretical to lab-based or a mixture of theory and lab-based instruction and practice. Thirty five courses will be delivered by academic and industry experts in parallel sessions over the two week period. Participants can attend either one week or both and can choose the courses of most interest to them to create their own programme of study. For more detailed information on the range and content of courses visit: http://www.essex.ac.uk/iads/events/summer-school.aspx. Other information The Summer School includes keynote lectures from academic and industry experts delivered over the two weeks. Social events will be organised each week to enable participants to network and share ideas and experience of data analytics, data science and big data. Registration and further information For further information and registration please visit http://www.essex.ac.uk/iads/events/summer-school.aspx. Spaces in the various courses are allocated on a first come first served basis and are limited, so early registration is advised to avoid disappointment and take advantage of the early registration discount. For enquiries or specific queries, please email the Emma McClelland, Summer School Administrator, at: iadssum at essex.ac.uk. Professor Maria Fasli PhD, NTF, FHEA UNESCO Chair in Analytics and Data Science Director, Institute for Analytics and Data Science University of Essex T +44 (0)1206 872327 E mfasli at essex.ac.uk Follow us on Twitter @EssexIADS [Description: Macintosh HD:private:var:folders:hc:0szf3wnn715_cxly5980l7440000gn:T:TemporaryItems:29215_unitwin_uk_essex_analytics_logo_en_ALL_BLACK.PNG] PA Emma McClelland T +44 (0)1206 873496 E ejmccl at essex.ac.uk ? http://www.essex.ac.uk/iads/ Join us for the Essex Big Data and Analytics Summer School 24 July to 4 August 2017 http://www.essex.ac.uk/iads/events/summer-school.aspx WE ARE ESSEX TOP 20 FOR RESEARCH EXCELLENCE TOP 10 FOR STUDENT SATISFACTION [cid:90314833-522B-4323-980B-82CDD2A09211][cid:9D526EEE-DAC5-4935-AA21-3230884EF09D] [cid:887EA9DB-252A-4ABE-8258-D0E7E8329769] -------------- next part -------------- An HTML attachment was scrubbed... URL: -------------- next part -------------- A non-text attachment was scrubbed... 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Name: Big_Data_Analytics_Summer_School_2017.pdf Type: application/pdf Size: 897916 bytes Desc: Big_Data_Analytics_Summer_School_2017.pdf URL: From gert at ucsd.edu Sun Apr 30 16:38:32 2017 From: gert at ucsd.edu (Gert Cauwenberghs) Date: Sun, 30 Apr 2017 13:38:32 -0700 Subject: Connectionists: Saturday May 20: Joint Symposium on Neural Computation (JSNC 2017) Message-ID: JSNC 2017: Joint Symposium on Neural Computation Saturday May 20, 2017 UC San Diego, La Jolla, CA https://inc.ucsd.edu/ann_symp_2017.html Abstracts due: Monday, May 5, 2017 Registration due: Monday, May 8, 2017 Keynote speakers: David Anderson - Caltech: "Neural control of social behaviors and internal states" Hava Siegelmann - DARPA: "Computational principles in the brain" Invited speakers: Saket Navlaka - Salk Institute Bruce McNaughton - UCI/Lethbridge Tad Blair - UC Los Angeles Terry Sanger - University of Southern Calfornia John Iversen - Institute for Neural Computation Zhuowen Tu - UC San Diego Amir Khosrowshahi - Nervana/Intel Terry Sejnowski - closing remarks This annual meeting brings together scientists from various universities in Southern California to discuss topics broadly related to neural computation and computational neuroscience. Research areas include cellular, network, and systems-level modeling, and applications of neuromorphic algorithms and hardware to problems in vision, speech motor control, cognitive function. Abstracts are solicited for poster presentations and interactive live demonstrations. Select posters and demos will be highlighted as spotlights in the oral program. See https://inc.ucsd.edu/ann_symp_2017.html for registration and abstract submission guidelines. Organizers: Terry Sejnowski sejnowski at salk.edu, Gert Cauwenberghs gert at ucsd.edu. Hosted by the Institute for Neural Computation http://inc.ucsd.edu. Sponsored by Brainchip http://www.brainchipinc.com and Qualcomm http://www.qualcomm.com. -------------- next part -------------- An HTML attachment was scrubbed... URL: