From ahu at cs.stir.ac.uk Mon Oct 3 07:17:49 2011 From: ahu at cs.stir.ac.uk (Dr Amir Hussain) Date: Mon, 3 Oct 2011 12:17:49 +0100 Subject: Connectionists: Springer's Cognitive Computation journal: Table of Contents, Vol.3, No.3 / Sep 2011 issue (and ISI Indexing) In-Reply-To: References: Message-ID: Dear Colleagues: (with advance apologies for any cross-postings!) We are delighted to announce the publication of Volume 3, No. 3 / Sep 2011, of Springer's Cognitive Computation journal - www.springer.com/12559 The individual list of published articles (Table of Contents) for Vol. 3, No. 3 / Sep 2011, which form part of the Special Issue on: Cognitive Behavioural Systems, Guest Edited by: Anna Esposito, Alessandro Vinciarelli, Simon Haykin, Amir Hussain and Marcos Faundez-Zanuy, can be viewed here (and also at the end of this message, followed by an overview of the previous Issues/Archive listings): http://www.springerlink.com/content/1866-9956/3/3/ The Guest Editorial for the current special issue can be viewed here: http://www.springerlink.com/content/h4718567520t2h84/ A list of the most downloaded articles can be found here: http://www.springer.com/biomed/neuroscience/journal/12559#realtime Other 'Online First' published articles not yet in a print issue can be viewed here: http://www.springerlink.com/content/121361/?Content+Status=Accepted ================================= New: Cognitive Computation indexing in ISI: ================================= We are delighted to inform you that Cognitive Computation has been selected for coverage in Thomson Reuter?s products and services. Beginning with V.1 (1) 2009, this publication is now indexed and abstracted in: ? Science Citation Index Expanded (also known as SciSearch?) ? Journal Citation Reports/Science Edition ? Current Contents?/Engineering Computing and Technology ? Neuroscience Citation Index? As such, the first Impact Factor for Cognitive Computation will be available next year (in June 2012). =========================================== Reminder: New Cognitive Computation "LinkedIn" Group: =========================================== To further strengthen the bonds amongst the interdisciplinary audience of Cognitive Computation, we have set-up a "Cognitive Computation LinkedIn group", which has 200+ members already! We warmly invite you to join us at: http://www.linkedin.com/groups?gid=3155048! For further information on the journal and to sign up for electronic "Table of Contents alerts" please visit the Cognitive Computation homepage: http://www.springer.com/12559 or follow us on Twitter at: http://twitter.com/CognComput ?for the latest On-line First Issues. For any questions with regards to LinkedIn and/or Twitter, please contact Springer's Publishing Editor: Dr. Martijn Roelandse: martijn.roelandse at springer.com Finally, we would like to invite you to submit short or regular papers describing original research or timely review of important areas - our aim is to peer review all papers within approximately four weeks of receipt. We also welcome relevant high quality proposals for Special Issues (four are already planned for 2011-12!). With our very best wishes to all aspiring readers and authors of Cognitive Computation, Amir Hussain, PhD (Editor-in-Chief: Cognitive Computation) E-mail: ahu at cs.stir.ac.uk (University of Stirling, Scotland) Igor Aleksander, PhD (Honorary Editor-in-Chief: Cognitive Computation) John G. Taylor, PhD (Chair, Advisory Board: Cognitive Computation) -------------------------------------------------------------------------------------------------------------- Table of Contents: Springer's Cognitive Computation, Vol.3, No.3 / September 2011 -------------------------------------------------------------------------------------------------------------- Special Issue: Cognitive Behavioural Systems Guest Editors: Anna Esposito, Alessandro Vinciarelli, Simon Haykin, Amir Hussain and Marcos Faundez-Zanuy Cognitive Computation Special Issue on Cognitive Behavioural Systems Anna Esposito, Alessandro Vinciarelli, Simon Haykin, Amir Hussain and Marcos Faundez-Zanuy http://www.springerlink.com/content/h4718567520t2h84/ Embodied Gesture Processing: Motor-Based Integration of Perception and Action in Social Artificial Agents Amir Sadeghipour and Stefan Kopp http://www.springerlink.com/content/9863tn0u45676844/ Extracting and Associating Meta-features for Understanding People?s Emotional Behaviour: Face and Speech Nikolaus Bourbakis, Anna Esposito and Despina Kavraki http://www.springerlink.com/content/3507246u776ur626/ Movements and Holds in Fluent Sentence Production of American Sign Language: The Action-Based Approach Bernd J. Kr?ger, Peter Birkholz, Jim Kannampuzha, Emily Kaufmann and Irene Mittelberg http://www.springerlink.com/content/r8x430546u692123/ Agreement and its Multimodal Communication in Debates: A Qualitative Analysis Isabella Poggi, Francesca D?Errico and Laura Vincze http://www.springerlink.com/content/f827386m5424upqt/ Sentic Web: A New Paradigm for Managing Social Media Affective Information Marco Grassi, Erik Cambria, Amir Hussain and Francesco Piazza http://www.springerlink.com/content/v730647036834122/ Developing Prognosis Tools to Identify Learning Difficulties in Children Using Machine Learning Technologies Antonis Loizou and Yiannis Laouris http://www.springerlink.com/content/j1qmk06354277415/ ---------------------------------------------- Previous Issues/Archive: Overview ---------------------------------------------- The full listing of the Inaugural Vol. 1, No. 1 / March 2009, can be viewed here (which included invited authoritative reviews by leading researchers in their areas - including keynote papers from London University's John Taylor, Igor Aleksander and Stanford University's James McClelland, and invited papers from Ron Sun, Pentti Haikonen, Geoff Underwood, Kevin Gurney, Claudius Gross, Anil Seth and Tom Ziemke): http://www.springerlink.com/content/1866-9956/1/1/ The full listing of Vol. 1, No. 2 / June 2009, can be viewed here (which included invited reviews and original research contributions from leading researchers, including Giacomo Indiveri, Rodney Douglas, Jurgen Schmidhuber, Thomas Wennekers, Pentti Kanerva and Friedemann Pulvermuller): http://www.springerlink.com/content/1866-9956/1/2/ The full listing of Vol.1, No. 3 / Sep 2009, can be viewed here: http://www.springerlink.com/content/1866-9956/1/3/ The full listing of Vol. 1, No. 4 / Dec 2009, can be viewed here: http://www.springerlink.com/content/1866-9956/1/4/ The full listing of Vol.2, No. 1 / March 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/1/ The full listing of Vol.2, No. 2 / June 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/2/ The full listing of Vol.2, No. 3 / Aug 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/3/ The full listing of Vol.2, No. 4 / Dec 2010, can be viewed here: http://www.springerlink.com/content/1866-9956/2/4/ The full listing of Vol.3, No.1 / Mar 2011 (Special Issue on: Saliency, Attention, Active Visual Search and Picture Scanning, edited by John Taylor and Vassilis Cutsuridis), can be viewed here: http://www.springerlink.com/content/1866-9956/3/1/ The Guest Editorial can be viewed here: http://www.springerlink.com/content/hu2245056415633l/ The full listing of Vol.3, No.2 / June 2011 can be viewed here: http://www.springerlink.com/content/1866-9956/3/2/ ------------------------------------------------------------------------------------------------------- The Sunday Times Scottish University of the Year 2009/2010 The University of Stirling is a charity registered in Scotland, number SC 011159. -- The Sunday Times Scottish University of the Year 2009/2010 The University of Stirling is a charity registered in Scotland, number SC 011159. From jkrichma at uci.edu Sun Oct 2 19:44:46 2011 From: jkrichma at uci.edu (Jeff Krichmar) Date: Sun, 2 Oct 2011 16:44:46 -0700 Subject: Connectionists: IEEE Transactions on Autonomous Mental Development Special Issue on Biologically-Inspired Human-Robot Interactions - Call For Papers Message-ID: Dear Colleagues, We are pleased to announce: IEEE Transactions on Autonomous Mental Development Special Issue on Biologically-Inspired Human-Robot Interactions call for papers The webpage for the special issue can be found at: http://research.microsoft.com/~zhang/IEEE-TAMD/CFP-SI-HRI.html Call for Papers As robots become more common in our daily activities, human-robot interactions and human-computer interfaces are becoming increasingly important. Despite considerable progress in this relatively new field, very few researchers have paid attention to how the brain, cognition, and underlying biological mechanisms are involved in such interactions. This call requests papers that bring together fields of study, such as cognitive architectures, computational neuroscience, developmental psychology, machine psychology, and socially affective robotics, to advance the field of human-robot interaction. A robot that shares many of the attributes of the human it is interacting with would not only result in a more sophisticated robot, but it may also cause the human to respond more naturally, and be more willing to cooperate with such a robot. Submitted papers should further the field of Human-Robot Interaction through biologically inspired algorithms or methods. Topics may include, but are not limited to: ? Brain imaging during human-robot interaction ? Cooperative behavior and/or teamwork with robots and humans ? Emotion and empathy in robotic systems ? Gesture recognition using neural systems ? Human brain activity while interacting with robotic systems ? Human and robot shared or joint attention ? Natural language communication ? Natural vision systems ? Robot imitation of human behavior ? Socially affective robots ? Social cognition ? Space sharing and co-existence between humans and machines ? Theory of mind in robots Editors: Frederick C Harris, Jr., University of Nevada, Reno, Reno, NV, fredh at cse.unr.edu Jeffrey Krichmar, University of California, Irvine, Irvine CA, USA, jkrichma at uci.edu Hava Siegelmann, University of Massachusetts Amherst, Amherst, MA, USA, hava at cs.umass.edu Hiroaki Wagatsuma, Kyushu Institute of Technology, Kitakyushu, Japan, waga at brain.kyutech.ac.jp Two kinds of submissions are possible: ? Regular papers, up to 15 double column pages. ? Correspondence papers either presenting a "perspective" that includes insights into issues of wider scope than a regular paper but without being highly computational in style or presenting concise description of recent technical results, up to 8 double column pages. Instructions for authors: http://ieee-cis.org/pubs/tamd/authors/ We are accepting submissions through Manuscript Central at http://mc.manuscriptcentral.com/tamd-ieee (please select ? Bio-inspired human robot interaction ? as the submission type) When submitting your manuscript, please also cc jkrichma at uci.edu, fredh at cse.unr.edu, hava at cs.umass.edu, and waga at brain.kyutech.ac.jp Timeline: December 31, 2011 ? Deadline for paper submission February 15, 2012 ? Notification April 15, 2012 ? Final version May 1, 2012 ? Electronic publication June 15, 2012 ? Printed publication Best regards, Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma at uci.edu http://www.socsci.uci.edu/~jkrichma From michel.verleysen at uclouvain.be Mon Oct 3 03:57:17 2011 From: michel.verleysen at uclouvain.be (Michel Verleysen) Date: Mon, 3 Oct 2011 09:57:17 +0200 Subject: Connectionists: ESANN 2012: call for papers and annoucement of special sessions Message-ID: <001301cc81a2$12ef27d0$38cd7770$@verleysen@uclouvain.be> ====================================================== ESANN 2012 *** 20th anniversary ! *** 20th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning Bruges (Belgium) - April 25-26-27, 2012 http://www.esann.org Call for papers and special sessions ====================================================== Deadline for submission of papers: ---------------------------------- 30 November 2011 Topics ------ Machine learning, artificial neural networks, computational intelligence and related topics (see below for a more detailed description of the conference topics). Special sessions ---------------- (see http://www.esann.org for abstracts): 1) Recent developments in clustering algorithms Charles Bouveyron, Universit? Paris 1 (France), Barbara Hammer, Bielefeld University (Germany), Thomas Villmann, University of Applied Sciences Mittweida (Germany) 2) Theory and Practice of Adaptive Input Driven Dynamical Systems Peter Tino, The University of Birmingham (UK), Jochen Steil, Bielefeld University (Germany) 3) Interpretable models in machine learning Paulo Lisboa, Liverpool John Moores University (UK), Alfredo Vellido, Technical University of Catalonia (Spain), Jos? D. Mart?n, University of Valencia (Spain) 4) Parallel hardware architectures for acceleration of neural network computation Ulrich R?ckert, Bielefeld University (Germany), Erzs?bet Mer?nyi, Rice University (USA) 5) Machine Ensembles: Theory and Applications Anibal R. Figueiras-Vidal, Universidad Carlos III de Madrid (Spain), Lior Rokach, Department of Information Systems Engineering, Ben-Gurion University of the Negev (Israel) 6) Statistical methods and kernel-based algorithms Kris De Brabanter, Katholieke Universiteit Leuven (Belgium) Scope and topics ---------------- Since its first happening in 1993, the European Symposium on Artificial Neural Networks has become the reference for researchers on fundamentals and theoretical aspects of artificial neural networks, computational intelligence, machine learning and related topics. Each year, around 100 specialists attend ESANN, in order to present their latest results and comprehensive surveys, and to discuss the future developments in this field. The ESANN 2012 conference will follow this tradition, while adapting its scope to the recent developments in the field. The ESANN conferences cover artificial neural networks, machine learning, statistical information processing and computational intelligence. Mathematical foundations, algorithms and tools, and applications are covered. The following is a non-exhaustive list of machine learning, computational intelligence and artificial neural networks topics covered during the ESANN conferences: THEORY and MODELS Statistical and mathematical aspects of learning Feedforward models Kernel machines Graphical models, EM and Bayesian learning Vector quantization and self-organizing maps Recurrent networks and dynamical systems Blind signal processing Ensemble learning Nonlinear projection and data visualization Fuzzy neural networks Evolutionary computation Bio-inspired systems INFORMATION PROCESSING and APPLICATIONS Data mining Signal processing and modeling Approximation and identification Classification and clustering Feature extraction and dimension reduction Time series forecasting Multimodal interfaces and multichannel processing Adaptive control Vision and sensory systems Biometry Bioinformatics Brain-computer interfaces Neuroinformatics Papers will be presented orally (single track) and in poster sessions; all posters will be complemented by a short oral presentation during a plenary session. It is important to mention that the topics of a paper decide if it better fits into an oral or a poster session, not its quality. The selection of posters will be identical to oral presentations, and both will be printed in the same way in the proceedings. Nevertheless, authors must indicate their preference for oral or poster presentation when submitting their paper. Venue ------ The conference will be held in Bruges (also called "Venice of the North"), one of the most beautiful medieval towns in Europe. Bruges can be reached by train from Brussels in less than one hour (frequent trains). Designated as the "Venice of the North", the city has preserved all the charms of the medieval heritage. Its centre, which is inscribed on the Unesco World Heritage list, is in itself a real open air museum. The conference will be organized in a hotel located near the centre (walking distance) of the town. There is no obligation for the participants to stay in this hotel. Hotels of all levels of comfort and price are available in Bruges; there is a possibility to book a room in the hotel of the conference at a preferential rate through the conference secretariat. A list of other smaller hotels is also available. The conference will be held at the Novotel hotel, Katelijnestraat 65B, 8000 Brugge, Belgium. Proceedings and journal special issue ------------------------------------- The proceedings will include all communications presented to the conference (tutorials, oral and posters), and will be available on-site. Extended versions of selected papers will be published in the Neurocomputing journal (Elsevier). Call for contributions ---------------------- Prospective authors are invited to submit their contributions before November 30, 2011. The electronic submission procedure is described on the ESANN portal http://www.esann.org/. Authors must also commit themselves that they will register to the conference and present the paper in case of acceptation of their submission (one paper per registrant). Authors of accepted papers will have to register before February 29, 2012; they will benefit from the advance registration fee. The ESANN conference applies a strict policy about the presentation of accepted papers during the conference: authors of accepted papers who do not show up at the conference will be blacklisted for future ESANN conferences, and the lists will be communicated to other conference organizers. Deadlines --------- Submission of papers 30 November 2011 Notification of acceptance 23 January 2012 ESANN conference 25-27 April 2012 Conference secretariat ---------------------- ESANN'2012 d-side conference services phone: + 32 2 730 06 11 24 av. L. Mommaerts Fax: + 32 2 730 06 00 B - 1140 Evere (Belgium) E-mail: esann at dice.ucl.ac.be http://www.dice.ucl.ac.be/esann Steering and local committee (to be confirmed) ---------------------------- Fran?ois Blayo Ipseite (CH) Gianluca Bontempi Univ. Libre Bruxelles (B) Marie Cottrell Univ. Paris I (F) Jeanny H?rault INPG Grenoble (F) Mia Loccufier Univ. Gent (B) Bernard Manderick Vrije Univ. Brussel (B) Jean-Pierre Peters FUNDP Namur (B) Joos Vandewalle KUL Leuven (B) Michel Verleysen UCL Louvain-la-Neuve (B) Louis Wehenkel Univ. Li?ge (B) Scientific committee (to be confirmed) -------------------- Fabio Aiolli Univ. degli Studi di Padov (I) Cecilio Angulo Univ. Polit. de Catalunya (E) Miguel Atencia Univ. Malaga (E) Michael Aupetit CEA (F) Michael Biehl University of Groningen (NL) Martin Bogdan Univ. T?bingen (D) Herv? Bourlard IDIAP Martigny (CH) Antonio Braga Federal Univ. of Minas Gerais (Brazil) Joan Cabestany Univ. Polit. de Catalunya (E) St?phane Canu Inst. Nat. Sciences App. (F) Sylvain Chevallier INRIA Saclay (F) Andrzej Cichocki RIKEN (Japan) Valentina Colla Scuola Sup. Sant'Anna Pisa (I) Nigel Crook Oxford University (UK) Holk Cruse Universit?t Bielefeld (D) Giovanni Da San Martino Univ. of Padua (I) Tijl De Bie University of Bristol (UK) Massimo De Gregorio Istituto di Cibernetica-CNR (I) Dante Del Corso Politecnico di Torino (I) Wlodek Duch Nicholas Copernicus Univ. (PL) Pierre Dupont UCL Louvain-la-Neuve (B) Marc Duranton CEA LIST (F) Richard Duro Univ. Coruna (E) Deniz Erdogmus Oregon Health & Science University (USA) Anibal Figueiras-Vidal Univ. Carlos III Madrid (E) Jean-Claude Fort Universit? Paul Sabatier Toulouse (F) Felipe M. G. Fran?a Universidade Federal do Rio de Janeiro (Brazil) Leonardo Franco Univ. Malaga (E) Damien Fran?ois Universit? catholique de Louvain (B) Colin Fyfe Univ. Paisley (UK) Marco Gori Univ. Siena (I) Bernard Gosselin Univ. Mons (B) Manuel Grana UPV San Sebastian (E) Anne Gu?rin-Dugu? IMAG Grenoble (F) Barbara Hammer Bielefeld Univ. (D) Martin Hasler EPFL Lausanne (CH) Verena Heidrich-Meisner Univ. Paris-Sud (F) Tom Heskes Univ. Nijmegen (NL) Katerina Hlavackova-Schindler Austrian Acad. of Sciences (A) Christian Igel Univ. Copenhagen (DK) Jose Jerez Univ. Malaga (E) Gonzalo Joya Univ. Malaga (E) Christian Jutten INPG Grenoble (F) Juha Karhunen Aalto Univ. (FIN) Samuel Kaski Aalto Univ. (FIN) Stefanos Kollias National Tech. Univ. Athens (GR) Jouko Lampinen Aalto Univ. (FIN) Petr Lansky Acad. of Science of the Czech Rep. (CZ) John Lee Univ. cat Louvain (B) Amaury Lendasse Aalto Univ. (FIN) Priscila M. V. Lima Univ. Federal Rural do Rio de Janeiro (Brazil) Paulo Lisboa Liverpool John Moores University (UK) Jos? D. Mart?n Univ. of Valencia (E) Erzsebet Merenyi Rice Univ. (USA) David Meunier University of Cambridge (UK) Anke Meyer-B?se Florida State university (USA) Yoan Miche Aalto Univ. (FIN) Jean-Pierre Nadal Ecole Normale Sup?rieure Paris (F) Erkki Oja Aalto Univ. (FIN) Tjeerd olde Scheper Oxford Brookes University (UK) Gilles Pag?s Univ. Pierre et Marie Curie (Paris 6) (F) H?l?ne Paugam-Moisy Universit? Lumi?re Lyon 2 (F) Kristiaan Pelckmans K. U. Leuven (B) Gadi Pinkas The Center for Academic Studies (Israel) Alberto Prieto Universitad de Granada (E) Jose Principe Univ. of Florida, USA Didier Puzenat Univ. Antilles-Guyane (F) John Quinn Makerere Univ., Kampala (Uganda) S?bastien Rebecchi INRIA Saclay (F) Leonardo Reyneri Politecnico di Torino (I) Jean-Pierre Rospars INRA Versailles (F) Fabrice Rossi Univ. Paris 1 Panth?on-Sorbonne (F) David Saad Aston Univ. (UK) Francisco Sandoval Univ.Malaga (E) Jose Santos Reyes Univ. Coruna (E) Frank-Michael Schleif Univ. Leipzig (Germany) Benjamin Schrauwen Univ. Gent (B) Udo Seiffert Fraunhofer-Institute IFF Magdeburg (D) Alessandro Sperduti Universit? degli Studi di Padova (I) Jochen Steil Univ. Bielefeld (D) John Stonham Brunel University (UK) Johan Suykens K. U. Leuven (B) John Taylor King?s College London (UK) Peter Tino University of Birmingham (UK) Claude Touzet Univ. Provence (F) Thiago Turchetti Maia Fed.Univ.Minas Gerais (Brazil) Marc Van Hulle KUL Leuven (B) Alfredo Vellido Polytechnic University of Catalonia (E) Pablo Verdes Novartis Phrama (CH) David Verstraeten Univ. Gent (B) Thomas Villmann Univ. Apllied Sciences Mittweida (D) Heiko Wersing Honda Research Institute Europe (D) Axel Wism?ller University of Rochester, New York (USA) Bart Wyns Ghent University (B) Dietlind Z?hlke Fraunhofer Inst. for App. Information (D) ======================================================== ESANN - European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning http://www.esann.org * For submissions of papers, reviews, registrations: Michel Verleysen Univefsit? cat. de Louvain - Machine Learning Group SST/ICTM/ELEN - Maxwell - Place du Levant 3, bte L5.03.02 B-1348 Louvain-la-Neuve - Belgium tel: +32 10 47 25 51 - fax: + 32 10 47 25 98 mailto:esann at uclouvain.be * Conference secretariat d-side conference services 24 av. L. Mommaerts - B-1140 Evere - Belgium tel: + 32 2 730 06 11 - fax: + 32 2 730 06 00 mailto:esann at uclouvain.be ======================================================== -------------- next part -------------- An HTML attachment was scrubbed... URL: https://mailman.srv.cs.cmu.edu/mailman/private/connectionists/attachments/20111003/1593bcbc/attachment-0001.html From paolo.delgiudice at iss.infn.it Mon Oct 3 10:01:01 2011 From: paolo.delgiudice at iss.infn.it (paolo del giudice) Date: Mon, 03 Oct 2011 16:01:01 +0200 Subject: Connectionists: Post doctoral position in Rome Message-ID: A Post-doctoral position is available with the Italian National Institute for Nuclear Research (sezione Roma1). The intended research topic is the theoretical understanding of multi-scale dynamics of brain networks, based on tools and concepts from the theory of disordered systems. Of particular interest will be multi-modular heterogeneous networks of neurons, the characterization of their state space and the associated hierarchy of time scales of their dynamics. The ideal applicant has been trained in physics or mathematics, and has a PhD in related disciplines. He/she should have a background in one or more of the following subjects: modeling of complex systems; theory and simulation of stochastic processes; statistical mechanics of disordered systems; theoretical models of neural networks. A genuine interest in the theoretical understanding of brain dynamics is expected. Programming experience with MATLAB and C/C++ is also highly desirable. The earliest possible starting date is October 2012. Gross salary is 28000 per year. Lunch tickets are provided for the whole duration of the contract. The position is for two years. The research program will be carried out in Rome, between the Physics Department of the Rome University 'Sapienza' and the Italian National Institute of Health (the two Institutes are at walking distance). Foreign citizens and Italian citizens who spent abroad at least three years may apply. Applicants must be younger than 35. The call can be downloaded from:http://www.ac.infn.it/personale/borsedistudio/pdf/getfile.php?filename=14625.pdf The applicant must fill in the form available from: http://www.ac.infn.it/personale/theo_fellowships/ Application deadline is October 20 2011. Please also send applications and supporting material to: Paolo Del Giudice Complex Systems Unit Department of Technologies and Health Italian National Institute of Health Viale Regina Elena 299 - 00161 Rome, Italy email: paolo.delgiudice at iss.infn.it http://neural.iss.infn.it/papers.htm And to: Giorgio Parisi Physics Department, University of Rome 'Sapienza' Piazzale Aldo Moro 2 - 00185 Rome, Italy email: giorgio.parisi at roma1.infn.it http://chimera.roma1.infn.it/GIORGIO/index.html -- -- Paolo Del Giudice Complex Systems Unit Department of Technologies and Health Italian National Institute of Health phone: ++39 06 49902245 fax: ++39 06 49902137 skype: paolodg58 From tomas.hromadka at gmail.com Wed Oct 5 12:31:20 2011 From: tomas.hromadka at gmail.com (Tomas Hromadka) Date: Wed, 05 Oct 2011 18:31:20 +0200 Subject: Connectionists: COSYNE 2012: Meeting Announcement and Call for Abstracts (abstract deadline Nov 23 2011) Message-ID: <4E8C8658.1060701@gmail.com> ================================================================= Computational and Systems Neuroscience (Cosyne) MAIN MEETING WORKSHOPS Feb 23 - 26, 2012 Feb 27 - 28, 2012 Salt Lake City, Utah Snowbird Ski Resort, Utah http://www.cosyne.org ================================================================= The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks are selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. Cosyne topics include but are not limited to: neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, and computation with spiking networks. IMPORTANT DATES: Abstract submission opens: 24 Oct 2011 Abstract submission deadline: 23 Nov 2011 INVITED SPEAKERS: John Assad Michael Brecht Emery Brown Nicolas Brunel Stefano Fusi Tom Griffiths Takao Hensch Zach Mainen Fred Rieke Rebecca Saxe Noam Sobel Sarah Woolley When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting, due to space constraints. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. ORGANIZING COMMITTEE: General Chairs: Rachel Wilson (Harvard) and Jim DICarlo (MIT) Program Chairs: Nicole Rust (Penn) and Jonathan Pillow (UT Austin) Workshop Chairs: Brent Doiron (Pittsburgh) and Jess Cardin (Yale) Publicity Chair: Mark Histed (Harvard Medical School) EXECUTIVE COMMITTEE: Anthony Zador (CSHL) Alexandre Pouget (U Rochester) Zachary Mainen (Champalimaud Neuroscience Programme) From jlam at bccn-tuebingen.de Thu Oct 6 08:33:28 2011 From: jlam at bccn-tuebingen.de (Judith Lam) Date: Thu, 06 Oct 2011 14:33:28 +0200 Subject: Connectionists: =?iso-8859-1?q?BCCN_T=FCbingen=3A_Symposium_=22Se?= =?iso-8859-1?q?nsory_cortex=3A_Anatomy=2C_Plasticity=2C_Behavior=22_on_Oc?= =?iso-8859-1?q?t_18-19?= Message-ID: <4E8DA018.2040705@bccn-tuebingen.de> *%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%% Bernstein Cluster B Symposium, October 18 - 19: "Sensory Cortex: Anatomy, Plasticity, Behavior" %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%* The third Bernstein Symposium of our series entitled: *"Sensory Cortex: Anatomy, Plasticity, Behavior"* will take place on *Oct, 18th-19th 2011.* This two-days symposium organized by Cluster B of the Bernstein Center (http://www.bccn-tuebingen.de/research/cluster-b.html) will focus on population coding in the early cortex. It will be held on the Max-Planck Campus Tuebingen and starts on October 18 at 1 p.m. and will end on Wednesday 19th October, after lunch. Confirmed speakers are: Guoqiang Bi, University of Pittsburgh, Pennsylvania, USA, USTC, Hefei, China Michael Brecht, HU Berlin, BCCN Berlin, Germany Yves Fregnac, Unit? de Neurosciences Information et Complexit?, Gif-sur-Yvette, France Arthur Konnerth, TU Munich, Germany Troy Margrie, National Institute for Medical Research, London, UK Kevan Martin, University of Z?rich, ETH Z?rich, Switzerland Pavel Osten, Cold Spring Harbor Laboratory, New York, USA Fred Wolf, University of G?ttingen, MPI for Dynamics and Self-Organization, G?ttingen, Germany Additionally there will be short talks presenting the research of Cluster B. The registration fee is 25 Euro. Coffeebreaks, and lunch on Wednesday will be provided. For registration and further details see http://www.bccn-tuebingen.de/events/bernstein-symposium-series-2011/symposium-b.html Please register as soon as possible as we can accommodate only a limited number of participants due to space constraints. Find more about the the series at http://www.bccn-tuebingen.de/events/bernstein-symposium-series-2011.html. We look forward to seeing you Jason Kerr -- -- Judith Lam Executive Coordinator Bernstein Center for Computational Neuroscience T?bingen http://www.bccn-tuebingen.de/about-bccn/contact.html Spemannstr. 41, 72076 T?bingen Tel: +49 7071 601 1766 Fax: +49 7071 601 1794 -------------- next part -------------- An HTML attachment was scrubbed... URL: https://mailman.srv.cs.cmu.edu/mailman/private/connectionists/attachments/20111006/57207d74/attachment.html From elm at cs.umass.edu Thu Oct 6 11:45:18 2011 From: elm at cs.umass.edu (Erik Learned-Miller) Date: Thu, 6 Oct 2011 11:45:18 -0400 Subject: Connectionists: CVPR 2012 Call for Short Courses/Tutorials - Deadline December 2 Message-ID: <42B81C55-CBA6-4822-BB88-908810D60F55@cs.umass.edu> CVPR 2012 Short Courses & Tutorials: Call for Proposals Deadline: December 2, 2011 Short Courses Chair: Erik Learned-Miller (elm at cs.umass.edu) The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) will take place in Providence, Rhode Island, between June 16-21, 2012. Short courses and tutorials will take place on June 16, 17 and/or 21, 2012, at the same venue as CVPR, the Rhode Island Convention Center. Short courses and tutorials are usually half-day with the option of full day courses for wider scope topics. They aim to address a specific topic in computer vision and are supposed to provide a comprehensive overview of the topic. The audience is mostly graduate students. The topic should be of sufficient relevance with respect to the state of the art and the course should be educational rather than just a survey of techniques. Here are links to Short Course/Tutorial listings from past CVPRs: 2011: http://cvpr2011.org/tutorials 2010: http://cvl.umiacs.umd.edu/conferences/cvpr2010/tutorials/ 2009: http://www.cvpr2009.org/call-for-short-courses To submit a proposal, please send the following information to the Chair by December 2 (either plain text email or a .pdf file): 1) Short course/Tutorial Title. 2) Proposer's name, title, affiliation, and email. 3) Names of additional organizers with name, title, affiliation and email. 4) Short biosketch of each organizer. 5) Course description. Please provide topics covered, with a brief outline and other significant details. Please discuss the target audience and expected number of attendees. Also, provide pointers to relevant publications by the organizers, and to other publications. 6) Describe the relationship to previous tutorials offered at CVPR, ICCV, and ECCV in the last three years. 7) Planned materials (if any) to be distributed to attendees. The selection committee will deliver decisions by January 15, 2012. -- Erik Learned-Miller Associate Professor Department of Computer Science University of Massachusetts, Amherst https://www.cs.umass.edu/~elm/ -------------- next part -------------- An HTML attachment was scrubbed... URL: https://mailman.srv.cs.cmu.edu/mailman/private/connectionists/attachments/20111006/74880d4c/attachment.html From d.polani at herts.ac.uk Wed Oct 5 15:37:28 2011 From: d.polani at herts.ac.uk (Daniel Polani) Date: Wed, 5 Oct 2011 20:37:28 +0100 Subject: Connectionists: CFP: Advances in Complex Systems Journal: Topical Issue on Guided Self-Organization Message-ID: <20108.45560.589850.177280@gargle.gargle.HOWL> //////////////////////////////////////////////////////////////////////// Call for Papers: Advances in Complex Systems - Topical Issue on Guided Self-Organization //////////////////////////////////////////////////////////////////////// * DESCRIPTION The goal of Guided Self-Organization (GSO) research is to leverage the strengths of self-organization while still being able to direct the outcome of the self-organizing process. The ACS Topical Issue on Guided Self-Organization aims to condense the current state-of-art in guided self-organizing systems, including, but not limited to information- and graph-theoretic foundations of GSO and the information dynamics of cognitive systems. A number of attempts have been made to formalize aspects of GSO within information theory and dynamical systems: empowerment, information-driven evolution, robust overdesign, reinforcement-driven homeokinesis, predictive information-based homeokinesis, interactive learning, etc. However, the lack of a broadly applicable mathematical framework across multiple scales and contexts leaves GSO methodology incomplete. Devising such a framework and identifying common principles of guidance are the main themes of GSO. * TOPICS AND SUBMISSION Following the success of the GSO 2010 and 2011 International Workshops on Guided Self-Organization, we are pleased to announce an open Call for Papers for a Topical Issue on Guided Self-Organization of the Advances in Complex Systems Journal. We solicit original research articles in the field of Guided Self-Organization. Research articles will be peer-reviewed and selected articules published in the Topical Issue of the ACS journal. Advances in Complex Systems (ACS) is a peer-reviewed journal providing a multi-disciplinary perspective to the study of complex systems: http://www.worldscinet.com/acs/ ACS predominantly publishes original research articles in the field of complex systems and encourages submissions of papers which result from collaborations across traditional academic disciplines. As a peer-reviewed journal, ACS is committed to the highest scientific standards. Papers published in ACS should be written in a way that makes them accessible to a wide range of scientific disciplines. For details, please see the Guidelines for Contributors in this journal: http://www.worldscinet.com/acs/mkt/guidelines.shtml Suitable topics are theoretical, simulative and experimental studies on various aspects of self-organization, including, but not limited to - phenomena and mathematical/theoretical formalizations of GSO - information-theoretic, graph-theoretic statistical-physics and other models of GSO - collective and/or cognitive models and incarnations of GSO - machine learning in cyber-physical systems - simulations and experiments - novel GSO paradigms or experiments For a guide and additional background on GSO, we refer to the 2010 and 2011 Guided Self-Organization Workshops: http://informatics.indiana.edu/larryy/gso3 http://informatics.indiana.edu/larryy/gso4 We solicit original articles in the field of GSO, and in particular encouraging the submission of not previously published contributions based on work presented at GSO 2010 and 2011, but also entirely novel work with clear connections to Guided Self-Organization. Manuscripts should present original research that has not been published and is not under consideration for publication elsewhere. * EDITORS The reviewing process will be supervised by guest Editors (Daniel Polani, Larry Yaeger and Mikhail Prokopenko), together with the Editorial Board of the ACS. * DEADLINES Deadlines are as follows: - expression of interest (tentative title and list of authors) to guest editors : 4. November 2011 - submission to ACS: 31 January 2012 - notification: 30 April 2012 - camera-ready papers: 31 May 2012 Details about the submission modalities will be provided closer to the deadline. Kind regards, Daniel Polani, Larry Yaeger, Mikhail Prokopenko From bernhardt-walther.1 at osu.edu Fri Oct 7 22:47:47 2011 From: bernhardt-walther.1 at osu.edu (Dirk Bernhardt-Walther) Date: Fri, 7 Oct 2011 22:47:47 -0400 Subject: Connectionists: Postdoc position in Visual Cognitive Neuroscience at The Ohio State University Message-ID: The Bernhardt-Walther lab at The Ohio State University Department of Psychology is looking for a talented postdoctoral researcher. Our research focuses on the perception of complex scenes, objects, and visual attention. We use neuroimaging (EEG and fMRI), psychophysics, eye tracking, and computational modeling. The successful candidate will have access to our newly built lab with test rooms and an Eyelink 1000 eye tracker, a brand new Siemens Trio MRI scanner at the *Center for Cognitive and Behavioral Brain Imaging as well as an EEG lab at the Center for Cognitive Science. OSU offers an exciting research environment with a strong focus on computational and mathematical modeling within psychology as well as interdisciplinary interactions with colleagues in electrical engineering, computer science, and the neuroscience program at OSU.* * * *For more information see:* *http://bwlab.psy.ohio-state.edu/* *http://ccbbi.osu.edu/* *http://www.cog.ohio-state.edu/* * * *Candidates should have a Ph.D. in Neuroscience, Cognitive Psychology, Electrical Engineering, Computer Science or a related field as well as a strong research record. Advanced mathematical skills and programming experience (Matlab, Python) as well as prior experience with neuroimaging (fMRI and/or EEG) are a big plus. *Interested individuals should send an electronic copy of their curriculum vitae, three representative samples of published or unpublished work, a statement of interest, and the names of two letter writers to Professor Dirk Bernhardt-Walther ( bernhardt-walther.1 at osu.edu). Review of applications will begin in November, and the position can begin as early as January 2012, but a later start date can be arranged. To build a diverse workforce Ohio State encourages applications from individuals with disabilities, minorities, veterans, and women. Ohio State is an EEO/AA Employer. -- ================================= Dirk Bernhardt-Walther, PhD Department of Psychology The Ohio State University 200C Lazenby Hall 1835 Neil Avenue Columbus, OH 43210 USA bernhardt-walther.1 at osu.edu http://faculty.psy.ohio-state.edu/bernhardt-walther -------------- next part -------------- An HTML attachment was scrubbed... URL: https://mailman.srv.cs.cmu.edu/mailman/private/connectionists/attachments/20111007/1ee6639f/attachment.html From bowlby at bu.edu Fri Oct 7 09:12:55 2011 From: bowlby at bu.edu (Brian Bowlby) Date: Fri, 7 Oct 2011 09:12:55 -0400 Subject: Connectionists: 16th ICCNS conference: Call for Abstracts Message-ID: SIXTEENTH INTERNATIONAL CONFERENCE ON COGNITIVE AND NEURAL SYSTEMS May 30 ? June 1, 2012 Boston University 677 Beacon Street Boston, Massachusetts 02215 USA http://cns.bu.edu/cns-meeting/conference.html Sponsored by the Boston University Center for Adaptive Systems, Center for Computational Neuroscience and Neural Technology (CompNet), and Center of Excellence for Learning in Education, Science, and Technology (CELEST) with financial support from the National Science Foundation This interdisciplinary conference is attended each year by approximately 300 people from 30 countries around the world. As in previous years, the conference will focus on solutions to the questions: HOW DOES THE BRAIN CONTROL BEHAVIOR? HOW CAN TECHNOLOGY EMULATE BIOLOGICAL INTELLIGENCE? The conference is aimed at researchers and students of computational neuroscience, cognitive science, neural networks, neuromorphic engineering, and artificial intelligence. It includes invited lectures and contributed lectures and posters by experts on the biology and technology of how the brain and other intelligent systems adapt to a changing world. The conference is particularly interested in exploring how the brain and biologically-inspired algorithms and systems in engineering and technology can learn. Single-track oral and poster sessions enable all presented work to be highly visible. Three-hour poster sessions with no conflicting events will be held on two of the conference days. Posters will be up all day, and can also be viewed during breaks in the talk schedule. CALL FOR ABSTRACTS Session Topics: * vision * image understanding * audition * speech and language * unsupervised learning * supervised learning * reinforcement and emotion * sensory-motor control * cognition, planning, and attention * spatial mapping and navigation * object recognition * neural circuit models * neural system models * mathematics of neural systems * robotics * hybrid systems (fuzzy, evolutionary, digital) * neuromorphic VLSI * industrial applications * other Contributed abstracts must be received, in English, by January 31, 2012. Email notification of acceptance will be provided by February 29, 2012. A meeting registration fee must accompany each abstract. The fee will be refunded if the abstract is not accepted for presentation. Fees of accepted abstracts will be returned upon written request only until April 13, 2012. Abstracts must not exceed one 8.5"x11" page in length, with 1" margins on top, bottom, and both sides in a single-column format with a font of 10 points or larger. The title, authors, affiliations, surface, and email addresses should begin each abstract. A separate cover letter should include the abstract title; name and contact information for corresponding and presenting authors; requested preference for oral or poster presentation; and a first and second choice from the topics above, including whether it is biological (B) or technological (T) work [Example: first choice: vision (T); second choice: neural system models (B)]. Contributed talks will be 15 minutes long. Posters will be displayed for a full day. Overhead and computer projector facilities will be available for talks. Accepted abstracts will be printed in the conference proceedings volume. No extended paper will be required. Abstracts should be submitted electronically as Word files to cindy at bu.edu using the phrase ?16th ICCNS abstract submission? in the subject line or as paper hard copy (four copies of the abstract with one copy of the cover letter and the registration form) to Cynthia Bradford, Boston University, 677 Beacon Street, Boston MA 02215 USA. Fax submissions of the abstract will not be accepted. REGISTRATION INFORMATION: Early registration is recommended using the registration form below. Student registrations must be accompanied by a letter of verification from a department chairperson or faculty/research advisor. REGISTRATION FORM Sixteenth International Conference on Cognitive and Neural Systems May 30 ? June 1, 2012 Boston University 677 Beacon Street Boston, Massachusetts 02215 USA Fax: +1 617 353 7755 Mr/Ms/Dr/Prof:_____________________________________________________ Affiliation:_________________________________________________________ Address:__________________________________________________________ City, State, Postal Code:______________________________________________ Phone and Fax:_____________________________________________________ Email:____________________________________________________________ The registration fee includes a copy of the conference proceedings volume, a reception on Friday night, and 3 coffee breaks each day. CHECK ONE: ( ) $135 Conference (Regular) ( ) $85 Conference (Student) METHOD OF PAYMENT: [ ] Enclosed is a check made payable to "Boston University" Checks must be made payable in US dollars and issued by a US correspondent bank. Each registrant is responsible for any and all bank charges. [ ] I wish to pay by credit card (MasterCard, Visa, or Discover Card only) Name as it appears on the card:___________________________________________ Type of card: _____________________________ Expiration date:________________ Account number: _______________________________________________________ Signature:____________________________________________________________ -------------- next part -------------- An HTML attachment was scrubbed... URL: https://mailman.srv.cs.cmu.edu/mailman/private/connectionists/attachments/20111007/ff2d3ecb/attachment-0002.html -------------- next part -------------- A non-text attachment was scrubbed... Name: brochure.doc Type: application/msword Size: 251904 bytes Desc: not available Url : https://mailman.srv.cs.cmu.edu/mailman/private/connectionists/attachments/20111007/ff2d3ecb/brochure-0001.doc -------------- next part -------------- An HTML attachment was scrubbed... URL: https://mailman.srv.cs.cmu.edu/mailman/private/connectionists/attachments/20111007/ff2d3ecb/attachment-0003.html From akarniel at bgu.ac.il Sat Oct 8 16:25:30 2011 From: akarniel at bgu.ac.il (Amir Karniel) Date: Sat, 08 Oct 2011 20:25:30 GMT Subject: Connectionists: Call for Papers IEEE ToH Special issue and Call for Speakers CMCW Message-ID: Dear Connectionists, 1. Call for Papers - Special issue of the IEEE transactions on Haptics about "Haptics Human-Robot Interaction" Extended Deadline - December 1, 2011 See http://www.computer.org/portal/web/toh 2. Call for Speakers - The eighth annual computational motor control workshop at BGU, June 2012, Israel. Deadline - November 30, 2011 See http://www.bgu.ac.il/cmcw Dr. Amir Karniel, Ben-Gurion University of the Negev akarniel at bgu.ac.il www.bgu.ac.il/~akarniel -- ---------------------------------- Amir Karniel, PhD Department of Biomedical Engineering Ben-Gurion University of the Negev P.O.B. 653, Beer-Sheva 84105, ISRAEL Email: akarniel at bgu.ac.il URL: http://www.bgu.ac.il/~akarniel/ --------------------------------- From axel.hutt at inria.fr Mon Oct 10 06:27:40 2011 From: axel.hutt at inria.fr (Axel Hutt) Date: Mon, 10 Oct 2011 12:27:40 +0200 (CEST) Subject: Connectionists: Position for scientific software engineer at INRIA - France In-Reply-To: <826449722.192586.1316504837465.JavaMail.root@zmbs1.inria.fr> Message-ID: <1394615.423726.1318242460744.JavaMail.root@zmbs1.inria.fr> --------------------------------------------------------------------------------------------------- Software engineer in computational neuroscience at INRIA in Nancy, France --------------------------------------------------------------------------------------------------- A full-time scientific software engineer position is available in the team INRIA-team CORTEX on programming of a visualization tool for spatio-temporal neural dynamics. The simulated dynamics reflects neural signals observed in general anaesthesia and obeys stochastic integral-differential equations involving delays. The projects objective is the publication of an open-source software package involving a GUI to simulate the neural activity. Preferably the software will be developed in a combination of C/C++ and python, but this choice is not mandatory. The position will start winter/spring 2012 and is financed for two years by the ERC Starting Grant MATHANA. The optimal candidate holds a degree in computational science with focus on mathematical programming, theoretical physics or applied mathematics. Please send electronically applications including a CV to Axel Hutt (axel.hutt at inria.fr). -- Axel Hutt INRIA CR Nancy - Grand Est Equipe CORTEX 615, rue du Jardin Botanique 54603 Villers-les-Nancy Cedex France http://www.loria.fr/~huttaxel From taras at kowaliw.ca Tue Oct 11 11:37:10 2011 From: taras at kowaliw.ca (Kowaliw, Taras) Date: Tue, 11 Oct 2011 17:37:10 +0200 Subject: Connectionists: DevLeaNN Workshop: 27, 28 October in Paris, France Message-ID: <4E9462A6.2000702@kowaliw.ca> [Apologies for multiple postings] DevLeaNN: A Workshop on Development and Learning in Artificial Neural Networks October 27 and 28, in Paris, France http://devleann.iscpif.fr DevLeaNN is a two-day workshop devoted to showcasing the current state-of-the-art at the intersection of development and learning in artificial neural network design. Registration is free, but space is limited. INVITED SPEAKERS: * Hugues Berry (Universit? de Lyon) * Yaochu Jin (University of Surrey) * Thomas Trappenberg (Dalhousie University) Other speakers include: * Julian F. Miller (University of York) * Borys Wr?bel (Polish Academy of Sciences) * Jean-Baptiste Mouret (Universit? Pierre et Marie Curie) * Alain Dutech (LORIA - INRIA) * Yulia Sandamirskaya (Ruhr-Univerist?t Bochuma) * Pengsheng Zheng (Frankfurt Institute for Advanced Studies) ... and more to be announced soon. WORKSHOP DATE AND VENUE: October 27-28, 2011 Institut des syst?mes complexes, Paris, France POSTERS: We are soliciting posters, to be displayed during a session at the workshop. We envision this as an opportunity for researchers to present existing and relevant work to workshop attendees. Posters will not be peer-reviewed and will not be included in published proceedings. They will be reviewed for editorial content only. There is no expectation of novelty, previously published but relevant work is acceptable. IMPORTANT DATES: * Poster Submission Deadline: Monday 17 October, 2011 * Workshop: Thursday 27 and Friday 28 October, 2011 For more information, or to submit or register, please visit: http://devleann.iscpif.fr Thanks for your attention, and we hope to see you in Paris! T. Kowaliw, N. Bredeche, and R. Doursat -- _____ Taras Kowaliw, Ph.D. Guest Researcher / Chercheur Post-Doctorant, Institut des Syst?mes Complexes - Paris ?le-de-France, Centre national de la recherche scientifique, 57-59 rue Lhomond, 75005, Paris, France t.: +33 01 42 17 40 35 | f.: + 33 01 45 35 79 21 w.: http://kowaliw.ca | e.: taras at kowaliw.ca From terry at salk.edu Tue Oct 11 17:04:58 2011 From: terry at salk.edu (Terry Sejnowski) Date: Tue, 11 Oct 2011 14:04:58 -0700 Subject: Connectionists: NEURAL COMPUTATION - September, 2011 In-Reply-To: Message-ID: Neural Computation - Contents - Volume 23, Number 9 - September 1, 2011 ARTICLE Finding the Event Structure of Neuronal Spike Trains J. Vincent Toups, Jean-Marc Fellous, Peter J. Thomas, Terrence J. Sejnowski, and Paul H. Tiesinga LETTERS The Dependence of Spike-Field Coherence on Expected Intensity Kyle Q. Lepage, Mark A. Kramer, and Uri T. Eden Active Data Collection for Efficient Estimation and Comparison of Nonlinear Neural Models Christopher DiMattina and Kechen Zhang Invariant Object Recognition and Pose Estimation with Slow Feature Analysis Mathias Franzius, Niko Wilbert, and Laurenz Wiskott A Differential Model of the Complex Cell Miles Hansard and Radu Horaud Principles and Typical Computational Limitations of Sparse Speaker Separation Based on Deterministic Speech Features Albert Kern and Ruedi Stoop Kernels for Longitudinal Data with Variable Sequence Length and Sampling Intervals Zhendong Lu, Todd K. Leen, and Jeffrey Kaye Algorithms for Nonnegative Matrix Factorization with the beta-Divergence Cedric Fevotte and Jerome Idier ----- ON-LINE - http://www.mitpressjournals.org/loi/neco SUBSCRIPTIONS - 2011 - VOLUME 23 - 12 ISSUES USA Others Electronic only Student/Retired $67 $130 $62 Individual $118 $181 $110 Institution $986 $1,049 $882 Canada: Add 5% GST MIT Press Journals, 238 Main Street, Suite 500, Cambridge, MA 02142-9902. Tel: (617) 253-2889 FAX: (617) 577-1545 journals-orders at mit.edu http://mitpressjournals.org/neuralcomp ----- From fitz at science.uva.nl Thu Oct 13 09:13:29 2011 From: fitz at science.uva.nl (Hartmut Fitz) Date: Thu, 13 Oct 2011 15:13:29 +0200 (CEST) Subject: Connectionists: Neural network simulator LENS Message-ID: <1751.195.169.109.76.1318511609.squirrel@webmail.science.uva.nl> The Light, Efficient Network Simulator (LENS), written by Douglas Rohde, is now available as a native MacOSX port at: http://hbrouwer.github.com/lensosx/ Harm Brouwer, Daniel de Kok, & Hartmut Fitz From gluck at pavlov.rutgers.edu Sun Oct 16 09:38:04 2011 From: gluck at pavlov.rutgers.edu (Mark A. Gluck) Date: Sun, 16 Oct 2011 09:38:04 -0400 Subject: Connectionists: Rutgers University-Newark Seeks New Director for Neuroscience Center Message-ID: Rutgers University-Newark is seeking an exceptional neuroscientist as the Director for the Center for Molecular and Behavioral Neuroscience (CMBN). CMBN is part of a larger community of neuroscientists at Rutgers-Newark, with additional researchers in the Biology and Psychology Departments. Collectively, these researchers represent all levels of analysis in neuroscience and offer a Ph.D. degree in Behavioral and Neural Sciences (BNS). In addition to outstanding communication and interpersonal skills, candidates must have a PhD and/or MD degree, a sustained track record of distinguished scientific accomplishments and external grant funding in an area related to CMBN's research interests, and a demonstrated commitment to excellence in post-graduate training. The Director will support the development of research activities at CMBN, based on a clearly articulated scientific vision, and foster increased interactions with other neuroscientists. The Director is also expected to maintain a grant funded research program in his/her own laboratory and play a key role in the recruitment of new faculty. Professorial appointment with tenure will be made to the successful candidate. Salary is highly competitive and will be commensurate with qualifications and experience. Please send a letter of application and curriculum vitae to: Dr. Alexander E. Gates Vice Chancellor for Research Rutgers University 123 Washington Ave., Ste. 590 Newark, NJ 07102-3026 Email: "Alexander E. Gates" For further information about CMBN, the BNS Ph.D. program, and Rutgers-Newark, see the following websites: http://www.neuroscience.newark.rutgers.edu/ http://www.newark.rutgers.edu/ -------------- next part -------------- An HTML attachment was scrubbed... URL: https://mailman.srv.cs.cmu.edu/mailman/private/connectionists/attachments/20111016/1f8f1350/attachment.html From jkrichma at uci.edu Wed Oct 12 15:23:50 2011 From: jkrichma at uci.edu (Jeff Krichmar) Date: Wed, 12 Oct 2011 12:23:50 -0700 Subject: Connectionists: Junior Faculty Positions in "Decision-Making & Judgment Research", and "Cognitive Neuroscience" at the University of California, Irvine Message-ID: Dear Colleagues, Two Assistant Professor positions are available in the Department of Cognitive Sciences at the University of California, Irvine. 1. Junior Faculty Position, Cognitive Neuroscience Subject to budgetary authorization, a tenure-track position at the Assistant Professor level is available in the area of cognitive neuroscience, particularly in speech and language or higher-level perceptual or action neuroscience areas. The online application should include: A cover letter indicating primary research interests, CV, three recent publications, and three to five letters of recommendation. Candidates should apply online at: https://recruit.ap.uci.edu/apply#SOCSCI. Application review will begin on 12/01/2011. 2. Junior Faculty Position, Decision-Making and Judgment Research Subject to budgetary authorization, a tenure-track position at the Assistant Professor level is available for candidates who apply experimental and computational approaches to Decision-Making and Judgment research. The online application should include: A cover letter indicating primary research interests, CV, three recent publications, and three to five letters of recommendation. Candidates should apply online at https://recruit.ap.uci.edu/apply#SOCSCI. Application review will begin on 12/01/2011. The University of California, Irvine is an equal opportunity employer committed to excellence through diversity. Best regards, Jeff Krichmar Department of Cognitive Sciences 2328 Social & Behavioral Sciences Gateway University of California, Irvine Irvine, CA 92697-5100 jkrichma at uci.edu http://www.socsci.uci.edu/~jkrichma From matthias.treder at gmail.com Fri Oct 14 05:06:49 2011 From: matthias.treder at gmail.com (Matthias Treder) Date: Fri, 14 Oct 2011 11:06:49 +0200 Subject: Connectionists: **Deadline extension** Special issue GAZE-INDEPENDENT BRAIN-COMPUTER INTERFACES Message-ID: [Updated] CALL FOR PAPERS: GAZE-INDEPENDENT BRAIN-COMPUTER INTERFACES You are cordially invited to make a contribution to the special issue "Gaze-independent brain-computer interfaces", to appear in Journal of Neural Engineering. Brain-computer interfacing (BCI) is a discipline that aims towards establishing a direct communication between brain and machine, thereby circumventing motor control. The fostering of BCI research in the past decade has lead to substantial progress at different strands of research, such as the development of new experimental paradigms, advances in signal processing and classification techniques, and the successful implementation of BCIs in home environments. Recently, the issue of gaze (in)dependence of BCI systems is receiving growing awareness in the research community. Independence of eye gaze and other muscle-based input signals is an important ingredient for establishing a unique niche for BCI in neurorehabilitation research, beyond conventional assistive technologies that rely on physiological signals such as eye movements and EMG. The goal of this special issue is to compile state-of-the-art work on brain-computer interfaces, particularly with a focus on gaze-independence. It covers, but is not restricted to, empirical, theoretical, and methodological accounts on the following topics: * Machine learning and signal processing for BCI * BCIs independent of eye gaze * BCIs based on non-visual sensory modalities * Multi-modal BCIs * Innovative BCI paradigms * Comparative studies including assistive technology * Evaluation of existing BCIs in clinical studies * Neurophysiological basis of gaze-independent BCIs * BCI switches SUBMISSION PROCEDURE Manuscripts should be submitted electronically to http://atom.iop.org/atom/usermgmt.nsf/EGWebSubmissionWelcome?OpenForm&ISSN=1741-2552and the special-issue should be indicated during the submission process. Detailed guidelines for authors are available on the JNE website. Note that all manuscripts will complete the usual peer-review process. ***EXTENDED*** SUBMISSION DEADLINE: November 14, 2011 Looking forward to your contribution. Sincerely, Matthias Treder, PhD Machine Learning Laboratory Berlin Institute of Technology Berlin, Germany -------------- next part -------------- An HTML attachment was scrubbed... URL: https://mailman.srv.cs.cmu.edu/mailman/private/connectionists/attachments/20111014/79cfdce9/attachment.html From P.Tino at cs.bham.ac.uk Tue Oct 11 14:30:59 2011 From: P.Tino at cs.bham.ac.uk (Peter Tino) Date: Tue, 11 Oct 2011 19:30:59 +0100 Subject: Connectionists: Special session on "Theory and Practice of Adaptive Input Driven Dynamical Systems" at ESANN 2012 Message-ID: <4E948B63.5040701@cs.bham.ac.uk> Call for Papers: Special session on "Theory and Practice of Adaptive Input Driven Dynamical Systems" at ESANN-2012 European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning http://www.dice.ucl.ac.be/esann/index.php?pg=welcome Scope: Various forms of learning machines for processing temporal (or otherwise structured data) take the form of adaptive input driven dynamical systems. Examples include wide classes of * Recurrent/Recursive Neural Networks, * Reservoir Computation models, * (extended) Kalman Filers, * Input-Output Hidden Markov Models * etc. While many successful applications have proved usefulness of such models, a consistent theoretical background and a deeper holistic understanding of issues related to their training, stability and characterization are still missing. The aim of the special session is to conceptualize the field of Adaptive Input Driven Dynamical Systems in the context of recent developments, so as to enable its further systematic study. We encourage submissions addressing issues such as (not an exhaustive list): * theoretical framework for systematic study and characterization of input driven non-autonomous dynamical systems * stability analysis of systems driven by input streams generated by specific types if sources (e.g. i.i.d., periodic, finite memory, stochastic automata etc.) * novel applications of Adaptive Input Driven Dynamical Systems * learning theory for such systems taking into account complexity quantifications for input sources etc. * novel models of Adaptive Input Driven Dynamical Systems Submission guidelines can be found on the conference page http://www.dice.ucl.ac.be/esann/index.php?pg=welcome Peter Tino The University of Birmingham (UK) P.Tino at cs.bham.ac.uk Jochen Steil Bielefeld University (Germany) jsteil at cor-lab.uni-bielefeld.de Manjunath Gandhi Jacobs University (Germany) m.gandhi at jacobs-university.de -- Peter Tino The University of Birmingham School of Computer Science Edgbaston, Birmingham B15 2TT, UK +44 121 414 8558 http://www.cs.bham.ac.uk/~pxt/ From sandro.romani at gmail.com Fri Oct 14 13:20:05 2011 From: sandro.romani at gmail.com (Sandro Romani) Date: Fri, 14 Oct 2011 13:20:05 -0400 Subject: Connectionists: Paper: Intracellular Dynamics of Virtual Place Cells. Message-ID: Dear Colleagues, I'd like to bring to your attention our recent paper on phase precession in a network model of the hippocampus. The discovery of phase precession by O'Keefe and Recce (1) spurred a wealth of theoretical and experimental studies addressing the possible mechanisms and functions of temporal coding. In a recent experimental study, Harvey et al (2) were able to record intracellularly in the hippocampus from behaving rodents and observe the membrane potential correlates of place fields and phase precession. The authors argued that their observations contradict existing network models of phase precession, a claim to which we answer with the following contribution: Romani S, Sejnowski T, Tsodyks M (2011) Intracellular Dynamics of Virtual Place Cells. Neural Computation 23:651-655. The pattern of spikes recorded from place cells in the rodent hippocampus is strongly modulated by both the spatial location in the environment and the theta rhythm. The phases of the spikes in the theta cycle advance during movement through the place field. Recently intracellular recordings from hippocampal neurons (Harvey, Collman, Dombeck, & Tank, 2009) showed an increase in the amplitude of membrane potential oscillations inside the place field, which was interpreted as evidence that an intracellular mechanism caused phase precession. Here we show that an existing network model of the hippocampus (Tsodyks, Skaggs, Sejnowski, & McNaughton, 1996) can equally reproduce this and other aspects of the intracellular recordings, which suggests that new experiments are needed to distinguish the contributions of intracellular and network mechanisms to phase precession. http://www.mitpressjournals.org/doi/abs/10.1162/NECO_a_00087 (1) O?Keefe J, Recce ML (1993) Phase relationship between hippocampal place units and the EEG theta rhythm. Hippocampus 3:317-330 (2) Harvey CD, Collman F, Dombeck DA, Tank DW (2009) Intracellular dynamics of hippocampal place cells during virtual navigation. Nature 461:941-946. Sincerely, Sandro Romani, Terry Sejnowski & Misha Tsodyks -------------- next part -------------- An HTML attachment was scrubbed... URL: https://mailman.srv.cs.cmu.edu/mailman/private/connectionists/attachments/20111014/337b443b/attachment.html From wsenn at cns.unibe.ch Sat Oct 15 11:04:47 2011 From: wsenn at cns.unibe.ch (Walter Senn) Date: Sat, 15 Oct 2011 17:04:47 +0200 Subject: Connectionists: Biological Cybernetics: vol 105, issue 2 --- Table of Content Message-ID: <4E99A10F.6070800@cns.unibe.ch> Biological Cybernetics: vol 105, issue 2 --- Table of Content http://www.springerlink.com/content/hv32j375j8m6/ (open access) Original papers: "Revealing non-analytic kinematic shifts in smooth goal-directed behaviour" M. K. Weir & A. P. Wale http://www.springerlink.com/content/7918237155nv575m/ "Multiscale modeling of skeletal muscle properties and experimental validations in isometric conditions" Hassan El Makssoud, David Guiraud, Philippe Poignet, Mitsuhiro Hayashibe, Pierre-Brice Wieber, Ken Yoshida & Christine Azevedo-Coste http://www.springerlink.com/content/846q1133681m8x69/ "A computational model of the hippocampus that represents environmental structure and goal location, and guides movement" Jumpei Matsumoto, Yoshinari Makino, Haruki Miura & Masafumi Yano http://www.springerlink.com/content/tq3r23t553x7t276/ "On the role of astrocytes in synchronization of two coupled neurons: a mathematical perspective" Mahmood Amiri, Ghazal Montaseri & Fariba Bahrami http://www.springerlink.com/content/072n2g01015r377v/ "Comparison of different neuron models to conductance-based post-stimulus time histograms obtained in cortical pyramidal cells using dynamic-clamp in vitro" Martin Pospischil, Zuzanna Piwkowska, Thierry Bal & Alain Destexhe http://www.springerlink.com/content/qn324p8n63704757/ Erratum: "Erratum to: Multiscale modeling of skeletal muscle properties and experimental validations in isometric conditions" Hassan El Makssoud, David Guiraud, Philippe Poignet, Mitsuhiro Hayashibe, Pierre-Brice Wieber, Ken Yoshida & Christine Azevedo-Coste http://www.springerlink.com/content/u161702u23372363/ ---- Biological Cybernetics, all issues: http://www.springerlink.com/content/100465/ From ASIM.ROY at asu.edu Sun Oct 16 15:13:08 2011 From: ASIM.ROY at asu.edu (Asim Roy) Date: Sun, 16 Oct 2011 12:13:08 -0700 Subject: Connectionists: Call for Papers - Neural Networks special issue on Autonomous Learning Message-ID: Apologies for cross posting. Neural Networks Special Issue: Autonomous Learning ======================================================================== ===================== Autonomous learning is a very broad term and includes many different kinds of learning. Fundamental to all of them is some kind of a learning algorithm. Whatever the kind of learning, we generally have not been able to deploy the learning systems on a very wide scale, although there certainly are exceptions. One of the biggest challenges to wider deployment of existing learning systems comes from algorithmic control. Most of the current learning algorithms require parameters to be set individually for almost every problem to be solved. The limitations of the current learning systems, compared to biological ones, was pointed out in a 2007 National Science Foundation (USA) report (( >). Here's a part of the summary of that report: "Biological learners have the ability to learn autonomously, in an ever changing and uncertain world. This property includes the ability to generate their own supervision, select the most informative training samples, produce their own loss function, and evaluate their own performance. More importantly, it appears that biological learners can effectively produce appropriate internal representations for composable percepts -- a kind of organizational scaffold - - as part of the learning process. By contrast, virtually all current approaches to machine learning typically require a human supervisor to design the learning architecture, select the training examples, design the form of the representation of the training examples, choose the learning algorithm, set the learning parameters, decide when to stop learning, and choose the way in which the performance of the learning algorithm is evaluated. This strong dependence on human supervision is greatly retarding the development and ubiquitous deployment autonomous artificial learning systems." This special issue of Neural Networks will be on the topic of autonomous learning, focusing mainly on automation of learning methods that can avoid the kinds of dependencies highlighted in the NSF report. We invite original and unpublished research contributions on algorithms for any type of learning problem. RECOMMENDED TOPICS: Topics of interest include - but are not limited to: * Unsupervised learning systems; * Autonomous learning of reasoning; * Autonomous learning of motor control; * Autonomous control systems and free will; * Autonomous robotic systems; * Autonomy as based on internal reward and value systems and their learning and development; * Autonomous systems and the human situation * Emergent models of perception, cognition and action * Emergent cognitive architectures * Developmental and embodied models of learning SUBMISSION PROCEDURE: Prospective authors should visit http://ees.elsevier.com/neunet/ for information on paper submission. On the first page of the manuscript as well as on the cover letter, indicate clearly that the manuscript is submitted to the Neural Networks Special Issue: Autonomous Learning. Manuscripts will be peer reviewed using Neural Networks guidelines. Manuscript submission due: January 1, 2012 First review completed: April 1, 2012 Revised manuscript due: June 1, 2012 Second review completed, final decisions to authors: July 1, 2012 Final manuscript due: August 1, 2012 Guest editors: Asim Roy, Arizona State University, USA (asim.roy at asu.edu ) (Lead guest editor) John Taylor, King's College London, UK (john.g.taylor at kcl.ac.uk ) Bruno Apolloni, University of Milan, Italy (apolloni at dsi.unimi.it ) Leonid Perlovsky, Harvard University and The Air Force Research Laboratory, USA (leonid at seas.harvard.edu ) Ali Minai, University of Cincinnati, USA (minaiaa at gmail.com ) -------------- next part -------------- An HTML attachment was scrubbed... URL: https://mailman.srv.cs.cmu.edu/mailman/private/connectionists/attachments/20111016/f2cd7b26/attachment-0001.html From t.heskes at science.ru.nl Sun Oct 16 17:11:00 2011 From: t.heskes at science.ru.nl (Tom Heskes) Date: Sun, 16 Oct 2011 23:11:00 +0200 Subject: Connectionists: Neurocomputing volume 74 (issue 17) Message-ID: <4E9B4864.2030209@science.ru.nl> Neurocomputing volume 74 (issue 17) http://www.sciencedirect.com/science/issue/271597-1-s2.0-S0925231211X00115 ----------- REGULAR PAPERS Continuous and discrete models of neural systems in infinite-dimensional abstract spaces Stanis?aw Brzychczy, Lech G?rniewicz Nonlinear enhancement of noisy speech, using continuous attractor dynamics formed in recurrent neural networks Louiza Dehyadegary, Seyyed Ali Seyyedsalehi, Isar Nejadgholi Two-stage nonparametric kernel leaning: From label propagation to kernel propagation Enliang Hu, Songcan Chen, Jiankun Yu, Lishan Qiao Flood simulation using parallel genetic algorithm integrated wavelet neural networks Yuhui Wang, Hao Wang, Xiaohui Lei, Yunzhong Jiang, Xinshan Song Two dimensional principal components of natural images and its application Dong Wang, Huchuan Lu, Xuelong Li Efficient Euclidean projections via Piecewise Root Finding and its application in gradient projection Pinghua Gong, Kun Gai, Changshui Zhang A novel distribution-based feature for rapid object detection Jifeng Shen, Changyin Sun, Wankou Yang, Zhenyu Wang, Zhongxi Sun Stochastic neighbor projection on manifold for feature extraction Songsong Wu, Mingming Sun, Jingyu Yang Finite-time robust stochastic stability of uncertain stochastic delayed reaction?diffusion genetic regulatory networks Jianping Zhou, Shengyuan Xu, Hao Shen Development of PI training algorithms for neuro-wavelet control on the synchronization of uncertain chaotic systems Chiu-Hsiung Chen, Chih-Min Lin, Ming-Chia Li Visual quality recognition of nonwovens using generalized Gaussian density model and robust Bayesian neural network Jianli Liu, Baoqi Zuo, Xianyi Zeng, Philippe Vroman, Besoa Rabenasolo Design of a chaotic neural network for training and retrieval of grayscale and binary patterns A. Taherkhani, S.A. Seyyedsalehi, A.H. Jafari Questionnaires-based skin attribute prediction using Elman neural network Wei Wan, Hua Xu, Wenhao Zhang, Xincheng Hu, Gang Deng Multistate combination approaches for liquid state machine in supervised spatiotemporal pattern classification Fran?ois Rh?aume, Dominic Grenier, ?loi Boss? Representation of neural networks through their multi-linearization Adam Pedrycz, Fangyan Dong, Kaoru Hirota Kernel approximately harmonic projection Guanhong Yao, Wei Hua, Binbin Lin, Deng Cai Cyclic maximization of non-Gaussianity for blind signal extraction of complex-valued sources Iv?n Dur?n-D?az, Sergio Cruces, Mar?a Auxiliadora Sarmiento-Vega, Pablo Aguilera-Bonet A SOM-based hybrid linear-neural model for short-term load forecasting Vineet Yadav, Dipti Srinivasan Robust wavelet network control for a class of autonomous vehicles to track environmental contour line Tairen Sun, Hailong Pei, Yongping Pan, Caihong Zhang Fixed point method for autonomous on-line neural network training Pawe? Wawrzy?ski, Bartosz Papis FPGA implementation of Kalman filter for neural ensemble decoding of rat's motor cortex Xiaoping Zhu, Rongxin Jiang, Yaowu Chen, Sanqing Hu, Dong Wang A new local search based hybrid genetic algorithm for feature selection Md. Monirul Kabir, Md. Shahjahan, Kazuyuki Murase Multi-scale gist feature manifold for building recognition Cairong Zhao, Chuancai Liu, Zhihui Lai Feature selection for high-dimensional machinery fault diagnosis data using multiple models and Radial Basis Function networks Kui Zhang, Yuhua Li, Philip Scarf, Andrew Ball Kernel machine-based rank-lifting regularized discriminant analysis method for face recognition Wen-Sheng Chen, Pong Chi Yuen, Xuehui Xie Firing patterns transition induced by system size in coupled Hindmarsh?Rose neural system Jiqian Zhang, Chundao Wang, Maosheng Wang, Shoufang Huang Ultimate boundedness of stochastic Hopfield neural networks with time-varying delays Li Wan, Qinghua Zhou, Pei Wang Stochastic approximation learning for mixtures of multivariate elliptical distributions Ezequiel L?pez-Rubio Behavioural study of median associative memory under true-colour image patterns Roberto A. V?zquez, Humberto Sossa Chinese text location under complex background using Gabor filter and SVM Jianqiang Yan, Jie Li, Xinbo Gao Pruning least objective contribution in KMSE Yong-Ping Zhao, Jian-Guo Sun, Zhong-Hua Du, Zhi-An Zhang, Hai-Bo Zhang Kernel Self-optimized Locality Preserving Discriminant Analysis for feature extraction and recognition Jun-Bao Li, Jeng-Shyang Pan, Shyi-Ming Chen Learning low-rank Mercer kernels with fast-decaying spectrum Binbin Pan, Jianhuang Lai, Pong C. Yuen Regularized locality preserving discriminant analysis for face recognition Xiaohua Gu, Weiguo Gong, Liping Yang Exponential synchronization of memristor-based recurrent neural networks with time delays Ailong Wu, Zhigang Zeng, Xusheng Zhu, Jine Zhang A comparative study of wavelet families for EEG signal classification Tapan Gandhi, Bijay Ketan Panigrahi, Sneh Anand Neural bistability and amplification mediated by NMDA receptors: Analysis of stationary equations Patrick A. Shoemaker A fast recursive algorithm based on fuzzy 2-partition entropy approach for threshold selection Yinggan Tang, Weiwei Mu, Ying Zhang, Xuguang Zhang A new neural network for solving nonlinear convex programs with linear constraints Yongqing Yang, Yun Gao Exponential stability analysis of stochastic reaction-diffusion Cohen?Grossberg neural networks with mixed delays Quanxin Zhu, Jinde Cao A modular neural network for direction-of-arrival estimation of two sources Gal Ofek, Joseph Tabrikian, Mayer Aladjem Ear recognition based on uncorrelated local Fisher discriminant analysis Hong Huang, Jiamin Liu, Hailiang Feng, Tongdi He An extended one-versus-rest support vector machine for multi-label classification Jianhua Xu TurSOM: A paradigm bridging Turing's unorganized machines and self-organizing maps demonstrating dual self-organization Derek Beaton, Iren Valova, Daniel MacLean Global exponential stability of neural networks with discrete and distributed delays and general activation functions on time scales Bo Zhou, Qiankun Song, Huiwei Wang Synchronization of complex switched networks with two types of delays Jiang-Wen Xiao, Yuehua Huang, Yan-Wu Wang, Jingwen O. Yi Object recognition using a bio-inspired neuron model with bottom-up and top-down pathways Yuhua Zheng, Yan Meng, Yaochu Jin Existence and global asymptotic stability of periodic solution for discrete and distributed time-varying delayed neural networks with discontinuous activations Zuowei Cai, Lihong Huang Rules extraction from constructively trained neural networks based on genetic algorithms Marghny H. Mohamed Multitask dictionary learning and sparse representation based single-image super-resolution reconstruction Shuyuan Yang, Zhizhou Liu, Min Wang, Fenghua Sun, Licheng Jiao Impulses-induced exponential stability in recurrent delayed neural networks Quanjun Wu, Jin Zhou, Lan Xiang Chaos control and synchronization via a novel chatter free sliding mode control strategy Huaqing Li, Xiaofeng Liao, Chuandong Li, Chaojie Li Encoding subcomponents in cooperative co-evolutionary recurrent neural networks Rohitash Chandra, Marcus Frean, Mengjie Zhang, Christian W. Omlin Stability analysis of standard genetic regulatory networks with time-varying delays and stochastic perturbations Yurong Li, Yanzheng Zhu, Nianyin Zeng, Min Du Temporal association based on dynamic depression synapses and chaotic neurons Min Xia, Zhijie Wang, Jian?an Fang Efficient hardware architecture based on generalized Hebbian algorithm for texture classification Shiow-Jyu Lin, Yi-Tsan Hung, Wen-Jyi Hwang Global existence of periodic solutions in a six-neuron BAM neural network model with discrete delays Changjin Xu, Xiaofei He, Peiluan Li Robust exponential stability of uncertain impulsive neural networks with time-varying delays and delayed impulses Yu Zhang Visual tracking via dynamic tensor analysis with mean update Xiaoqin Zhang, Xingchu Shi, Weiming Hu, Xi Li, Steve Maybank Variable-time impulses in BAM neural networks with delays Chao Liu, Chuandong Li, Xiaofeng Liao Synchronization of multiple chaotic FitzHugh?Nagumo neurons with gap junctions under external electrical stimulation Muhammad Rehan, Keum-Shik Hong, Muhammad Aqil Rank-two residue iteration method for nonnegative matrix factorization Hongwei Liu, Yongliang Zhou Fast kernel Fisher discriminant analysis via approximating the kernel principal component analysis Jinghua Wang, Qin Li, Jane You, Qijun Zhao Decision system for a team of autonomous underwater vehicles?Preliminary report Tomasz Praczyk, Piotr Szymak Application of arachnid prey localisation theory for a robot sensorimotor controller S.V. Adams, T. Wennekers, G. Bugmann, S. Denham, P.F. Culverhouse Rapid pedestrian detection in unseen scenes Xianbin Cao, Zhong Wang, Pingkun Yan, Xuelong Li Shift and gray scale invariant features for palmprint identification using complex directional wavelet and local binary pattern Meiru Mu, Qiuqi Ruan, Song Guo Chaos and hyperchaos in a Hopfield neural network Paulo C. Rech New delay-dependent exponential stability criteria for neural networks with discrete and distributed time-varying delays Junkang Tian, Shouming Zhong Singular points detection based on multi-resolution in fingerprint images Dawei Weng, Yilong Yin, Dong Yang Phase synchronization with harmonic wavelet transform with application to neuronal populations Duan Li, Xiaoli Li, Dong Cui, ZhaoHui Li Stability and synchronization for Markovian jump neural networks with partly unknown transition probabilities Qian Ma, Shengyuan Xu, Yun Zou Semiparametric mixed-effect least squares support vector machine for analyzing pharmacokinetic and pharmacodynamic data Kyung Ha Seok, Jooyong Shim, Daehyeon Cho, Gyu-Jeong Noh, Changha Hwang Consideration effect of uncertainty in power system reliability indices using radial basis function network and fuzzy logic theory Abdollah Kavousifard, Haidar Samet Nonlinear systems identification using dynamic multi-time scale neural networks Xuan Han, Wen-Fang Xie, Zhijun Fu, Weidong Luo The distribution of rewards in sensorimotor maps acquired by cognitive robots through exploration Vishwanathan Mohan, Pietro Morasso, Giorgio Metta, Stathis kasderidis A combined SMOTE and PSO based RBF classifier for two-class imbalanced problems Ming Gao, Xia Hong, Sheng Chen, Chris J. Harris Three-parameter sequential minimal optimization for support vector machines Yih-Lon Lin, Jer-Guang Hsieh, Hsu-Kun Wu, Jyh-Horng Jeng Consistency and error analysis of Prior-Knowledge-Based Kernel Regression Z. Sun, Z. Zhang, H. Wang 3D object retrieval based on a graph model descriptor Qinkun Xiao, Haiyun Wang, Fei Li, Yue Gao Global exponential stability of discrete-time recurrent neural network for solving quadratic programming problems subject to linear constraints Qingshan Liu, Jinde Cao The neural dynamics for hysteresis in visual perception Hongzhi You, Yan Meng, Di Huan, Da-Hui Wang The build of n-Bits Binary Coding ICBP Ensemble System Qun Dai, Ningzhong Liu Image segmentation and bias correction via an improved level set method Yunjie Chen, Jianwei Zhang, Arabinda Mishra, Jianwei Yang A dual association model for the extinction of animal conditioning Ashish Gupta, Lovekesh Vig, David C. Noelle An efficient feature selection method for mobile devices with application to activity recognition Jian-Xun Peng, Stuart Ferguson, Karen Rafferty, Paul D. Kelly A novel face recognition method based on sub-pattern and tensor Su-Jing Wang, Chun-Guang Zhou, Yu-Hsin Chen, Xu-Jun Peng, Hui-Ling Chen, Gang Wang, Xiaohua Liu An efficient approach to content-based object retrieval in videos Chaoqun Hong, Na Li, Mingli Song, Jiajun Bu, Chun Chen A timestepper-based approach for the coarse-grained analysis of microscopic neuronal simulators on networks: Bifurcation and rare-events micro- to macro-computations Konstantinos G. Spiliotis, Constantinos I. Siettos 1-Norm least squares twin support vector machines Shangbing Gao, Qiaolin Ye, Ning Ye Exploiting constraint inconsistence for dimension selection in subspace clustering: A semi-supervised approach Xianchao Zhang, Yang Qiu, Yao Wu A review of optimization methodologies in support vector machines John Shawe-Taylor, Shiliang Sun Combining visual attention model with multi-instance learning for tag ranking Songhe Feng, Hong Bao, Congyan Lang, De Xu The automatic model selection and variable kernel width for RBF neural networks Peng Zhou, Dehua Li, Hong Wu, Feng Cheng Estimating the fundamental matrix based on least absolute deviation Menglong Yang, Yiguang Liu, Zhisheng You Recurrent neural networks for solving second-order cone programs Chun-Hsu Ko, Jein-Shan Chen, Ching-Yu Yang Exponential locality preserving projections for small sample size problem Su-Jing Wang, Hui-Ling Chen, Xu-Jun Peng, Chun-Guang Zhou SCIHTBB: Sparsity constrained iterative hard thresholding with Barzilai?Borwein step size Zhipeng Xie, Songcan Chen Predicting triplet of transcription factor ? mediating enzyme ? target gene by functional profiles Tao Huang, Lei Chen, Xiao-Jun Liu, Yu-Dong Cai ------------ JOURNAL SITE: http://www.elsevier.com/locate/neucom From s.gruen at fz-juelich.de Mon Oct 17 05:31:29 2011 From: s.gruen at fz-juelich.de (Prof Sonja Gruen) Date: Mon, 17 Oct 2011 11:31:29 +0200 Subject: Connectionists: Open Positions, on the PhD and Postdoc level Message-ID: <4E9BF5F1.2020607@fz-juelich.de> Open Positions on the PhD and Postdoc level The newly founded institute "Computational and Systems Neuroscience (INM-6)" is part of the Institute for Neuroscience and Medicine and the Institute of Advanced Simulation at the Research Center Juelich. PIs are affiliated with the renowned RWTH Aachen University. The institute is currently composed of the laboratories "Statistical Neuroscience" headed by Prof. Sonja Gruen and "Computational Neurophysics" headed by Prof. Markus Diesmann. The two laboratories combine approaches of large-scale modeling and simulation of brain networks with the analysis of multiple-channel recordings to explore cooperative neuronal activity (for details seewww.csn.fz-juelich.de andwww.nest-initiative.org). A third group concerned with theoretical anatomy will join later. We have job openings for PhD and postdoctoral studies. Our team of experienced postdocs provides individual supervision and guidance in an integrated laboratory space. The institute is equipped with a dedicated high-performance computing facility and has access to the first peta-scale supercomputer in Europe (JUGENE) located on campus. The projects are carried out in the context of international collaborations of experimental and theoretical groups, for example the large-scale European BrainScaleS project. We are seeking outstanding candidates primarily with background(s) in computational neuroscience, physics, mathematics or computer science for projects on: - higher-order correlation structure of massively parallel spike data - spatio-temporal scales of cortical interactions - top-down and bottom-up neuronal processing in awake mammals - simulation technology - learning and plasticity in neuronal networks - theory of spike correlation structure - brain-scale neuronal network models The call remains open until all positions are filled. If you are interested please contact us (s.gruen at fz-juelich.de or diesmann at fz-juelich.de) with your electronic CV, list of publications (if applicable), letters of reference, research interests and a statement of motivation. -- Prof. Dr. Sonja Gruen Institute of Neuroscience and Medicine (INM-6) Computational and Systems Neuroscience Research Center Juelich Juelich, Germany and Theoretical Systems Neurobiology RTWH Aachen University Aachen, Germany tel. +49-(0)2461-61-4748 (secr), -9302, -9460 (fax) mob. +49-(0)175-2972436 s.gruen at fz-juelich.de 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: MinDirig Dr. Karl Eugen Huthmacher Geschaeftsfuehrung: Prof. Dr. Achim Bachem (Vorsitzender), Karsten Beneke (stellv. Vorsitzender), Prof. Dr.-Ing. Harald Bolt, Prof. Dr. Sebastian M. Schmidt ------------------------------------------------------------------------------------------------ ------------------------------------------------------------------------------------------------ From t.j.prescott at sheffield.ac.uk Tue Oct 18 18:56:23 2011 From: t.j.prescott at sheffield.ac.uk (Tony Prescott) Date: Tue, 18 Oct 2011 23:56:23 +0100 Subject: Connectionists: First Call for Papers: Living Machines 2012, Barcelona July 9-12th Message-ID: An HTML attachment was scrubbed... URL: https://mailman.srv.cs.cmu.edu/mailman/private/connectionists/attachments/20111018/7cdfb97f/attachment-0001.html From p.gleeson at ucl.ac.uk Wed Oct 19 04:47:09 2011 From: p.gleeson at ucl.ac.uk (P Gleeson) Date: Wed, 19 Oct 2011 09:47:09 +0100 Subject: Connectionists: UK Neuroinformatics Node Workshop: From Computational Models to Engineering and Cognition Message-ID: <4E9E8E8D.1040901@ucl.ac.uk> We are proud to announce and invite participation in the upcoming joint workshop "From Computational Models to Engineering and Cognition" of three of the Special Interest Groups of the UK Neuroinformatics Node, the national hub of the International Neuroinformatics Coordinating Facility (INCF). Date: 29 Nov 2011, 9:00 to 30 Nov 2011, 17:00 Venue: Chancellor's Conference Centre in Manchester The aim of this multi-workshop of the Special Interest Groups (SIGs) on ?Neurally-Inspired Engineering? (SIG3), ?Computational Models and Simulation Environments? (SIG4) and ?AI, Cognition and Behaviour? (SIG5) is to promote the exchange of ideas and collaboration between researchers in the UK active in these areas and to contribute to a community-building effort in the Neuroinformatics research community. The two day programme will consist of presentations by prominent researchers/developers in the three interest areas, a poster and demo session, and SIG-specific discussion sessions. Importantly, there will be an emphasis on bringing people of similar interests together and fostering new contacts and collaborations. The hands-on demos and tutorials will be designed for researchers and students to get involved with methods they may not yet be familiar with. The meeting is open to all, but registration is required. Travel and accommodation expenses can be covered for UK based attendees who present a poster or demo. For detailed information and to register, go to: http://www.neuroinformatics.org.uk/special-interest-groups-sigs/20-joint-sig-workshop Confirmed invited speakers include: Andrew Brown, University of Southampton Jim Austin, University of York Netta Cohen, University of Leeds Tim Constandinou, Imperial College London Andreas Fidjeland , Imperial College London Dan Goodman, Ecole Normale Superieur Kevin Gurney, University of Sheffield Steve Hall, University of Liverpool Mark Lee, Aberystwyth University Leslie Smith, University of Stirling Volker Steuber, University of Hertfordshire Thomas Wennekers, The University of Plymouth The organisers are the champions of SIGs 3, 4 and 5: Piotr Dudek, University of Manchester Terrence Mak, Newcastle University Padraig Gleeson, University College London Thomas Nowotny, University of Sussex Marc de Kamps, University of Leeds Jonathan Rossiter, University of Bristol The preliminary program and detailed information on the workshop it available at: http://www.neuroinformatics.org.uk/special-interest-groups-sigs/20-joint-sig-workshop To learn more about (or join) the UK Node Special Interest Groups go to: http://www.neuroinformatics.org.uk/special-interest-groups-sigs To learn more about the UK INCF Node go to: http://www.neuroinformatics.org.uk/ To learn more about the INCF in general go to: http://www.incf.org/ For further enquiries, please contact Ewa Hill, University of Edinburgh, ewa.hill at ed.ac.uk or one of the SIG champions. From kirsch at bcf.uni-freiburg.de Wed Oct 19 11:38:02 2011 From: kirsch at bcf.uni-freiburg.de (Janina Kirsch) Date: Wed, 19 Oct 2011 17:38:02 +0200 Subject: Connectionists: PhD-Positions, Erasmus Mundus Joint Doctoral Program "EuroSPIN" (European Study Programme in Neuroinformatics) Message-ID: <007901cc8e75$16507070$42f15150$@uni-freiburg.de> Neuroinformatics combines neuroscience and informatics research to develop and apply computational tools and approaches that are essential for understanding the structure and function of the brain. The Erasmus Mundus Joint Doctoral Program "EuroSPIN" (European Study Programme in Neuroinformatics) is inviting applications from students having a solid background in mathematics, physics, computer sciences, biochemistry or neuroscience (on a master level or equivalent), in all cases with computer science skills. Documented interest in research like activities (e.g. demonstrated in the form of master thesis work, or participation in research related activities) is of large importance. Also fluency in English is requested. The four partrners below participate. They are all research leaders in the Neuroinformatics field, but they have complementary strengths. In addition, two associated partners, the Honda Research Institute and Nordita, participate. Each student will spend most of the time at two of the partner universities, and also receive a joint (or double) PhD degree following a successful completion of the studies. The mobility periods, as well as the courses a student will follow, are tailored individually based on: a) the PhD students background; b) which constellations of partners that are involved, as well as c) the specific research project. During the PhD period each student has one main supervisor from each of the two universities that grant the PhD degree. There are excellent scholarship opportunities for students accepted to an Erasmus Mundus Joint Doctorate programme. An employment contract will be given to all selected PhD students during the study time, which is 4 years. If you are interested, go to our webpage: www.kth.se/eurospin Deadline for Application (both EU and non-EU students): 30 Nov 2011. From gluck at pavlov.rutgers.edu Wed Oct 19 06:31:09 2011 From: gluck at pavlov.rutgers.edu (Mark A. Gluck) Date: Wed, 19 Oct 2011 06:31:09 -0400 Subject: Connectionists: Invite to Our Book Party at SFN in DC. Tues. Nov. 15, 11am-1pm Message-ID: Dear Colleagues and Friends, For those of you going to the Society for Neuroscience in Washington, DC, next month, I'd be delighted if you could stop by a book-launch party on Tuesday, November 15th, 11am-1pm, hosted by Worth Publishers. It celebrates the launch of the forthcoming 2nd edition of our our textbook, Learning and Memory: From Brain to Behavior. Catherine Myers and I will both be there, along with many friends and colleagues with an interest in research and teaching in this field. See more detailed event information below as both raw text and a PDF of the invitation. Although a formal RSVP is not required, I'd be delighted to hear back from anyone who thinks they might stop by. Note: For those of you who might wish to contact me while we are in DC, feel free to text or call me to my mobile phone: (917) 669 6004. Join Mark A. Gluck and Catherine E. Myers, co-authors of Learning and Memory From Brain to Behavior Second Edition At Society for Neuroscience 2011 Tuesday, November 15, 2011 11:00 am - 1:00 pm Worth Publishers Booth #204 Walter E. Washington Convention Center, Washington, D.C. RSVP not required, but please feel free to email Worth Publishers at psychologyupdates at worthpub.com if you have any questions -- ___________________________________________ Dr. Mark A. Gluck, Professor Director, Rutgers Memory Disorders Project Center for Molecular and Behavioral Neuroscience Rutgers University Phone: (973) 353-3668/3298 197 University Ave. Newark, New Jersey 07102 Email: gluck at pavlov.rutgers.edu Lab: http://www.gluck.edu Memory Loss & Brain Newsletter: http://www.memorylossonline.com -------------- next part -------------- An HTML attachment was scrubbed... URL: https://mailman.srv.cs.cmu.edu/mailman/private/connectionists/attachments/20111019/fdfa3945/attachment-0001.html -------------- next part -------------- A non-text attachment was scrubbed... Name: Society for Neuroscience 2011 Invitation.pdf Type: application/octet-stream Size: 92001 bytes Desc: not available Url : https://mailman.srv.cs.cmu.edu/mailman/private/connectionists/attachments/20111019/fdfa3945/SocietyforNeuroscience2011Invitation-0001.obj From btuller at nsf.gov Wed Oct 19 11:22:04 2011 From: btuller at nsf.gov (Tuller, Betty K.) Date: Wed, 19 Oct 2011 11:22:04 -0400 Subject: Connectionists: NSF position in Cognitive Neuroscience Message-ID: <36946000EC7B1E44A277E4EC11FE917F023A638B@NSF-BE-02.ad.nsf.gov> The Cognitive Neuroscience program at the National Science Foundation is seeking a Program Officer for a "rotator" position. The position description has been posted on USAjobs at http://www.usajobs.gov/GetJob/ViewDetails/300985100 For people unfamiliar with the NSF Rotator Program, it allows a faculty member or advanced Research Scientist to come to Washington for a year or two and assume the role and responsibilities of a program officer. They are both Program and Review (in NIH terms), run the review meetings ("Panels" at NSF), and make funding decisions. One year is a bit too short to do anything truly innovative, such as start a new program, but with a two-year stint you can have a permanent effect in shaping the field. That is how many people start in science administration. Others go back to their university much better informed about funding opportunities and about how NSF works. Important note: You don't have to 'waste' a sabbatical to do it, as most institutions will allow you to take a leave of absence (the NSF pays your full salary either through your university or as a federal employee, often with a cost-of-living adjustments and a per diem for diem in the DC area, away from your primary residence). You will learn a lot about how the grants process works, and get to enjoy all that Washington has to offer. Please forward this announcement to anyone you think might be interested. Apologies for multiple postings Betty Tuller, Ph.D. Director, Program in Perception, Action, and Cognition National Science Foundation 4201 Wilson Blvd Arlington, VA 22230 Tel: 703.292.7238 Fax: 703.292.9068 * A new Proposal and Award Policies and Procedures Guide effective for submissions after June 6, 2011 is now available at http://infoshare.nsf.gov/showFile/3627/0611.pdf. This includes a new requirement for submission of a data management plan (DMP). Proposals that do not include a DMP will not be able to be submitted. For more information about this new requirement, please see the Grant Proposal Guide, Chapter II.C.2.j and the Data Management and Sharing Frequently Asked Questions(FAQs) . Please note: the SBE Directorate has additional guidance for proposals submitted to SBE programs, please see Data Management for NSF SBE Directorate Proposals and Awards . In addition to the Intellectual Merit criterion, all proposals are evaluated on the Broader Impacts criterion. -------------- next part -------------- An HTML attachment was scrubbed... URL: https://mailman.srv.cs.cmu.edu/mailman/private/connectionists/attachments/20111019/ad1a404f/attachment.html From erhan at atr.jp Fri Oct 21 17:41:37 2011 From: erhan at atr.jp (Erhan Oztop) Date: Sat, 22 Oct 2011 00:41:37 +0300 Subject: Connectionists: HUMANOIDS 2011 (Oct 26, 27, 28) - Last Call for Participation In-Reply-To: <1319233082.10424.erhan@atr.jp> References: <1319233082.10424.erhan@atr.jp> Message-ID: <4EA1E711.3000207@atr.jp> * HUMANOIDS 2011 - CALL FOR PARTICIPATION * =========================================================== HUMANOIDS 2011 : 11th IEEE-RAS International Conference on Humanoid Robots Conference Venue : Golf Hotel, Bled, Slovenia Conference Dates : October 26, 27, 28, 2011 Conference Website : http://www.humanoids2011.org =========================================================== The 11th IEEE-RAS International Conference on Humanoid Robots (Humanoids 2011) will be held on October 26-28, 2011, in the Alpine town of Bled in Slovenia. Bled is easily accessible from the Ljubljana Airport which has excellent connections to all major European hubs. The conference is sponsored by IEEE Robotics and Automation Society. Contributions related to humanoid robotics covering mechatronics, control, perception, planning, learning, and human-robot interaction will be presented in single track oral and poster sessions. In addition, we will have excellent keynote speakers joining the conference: Mitsuo Kawato (ATR) Auke Ijspeert (EPFL) Bruno Maissonier (Aldebaran Robotics) For general inquiries about the conference, please contact the conference secretariat at humanoids at ijs.si. ORGANIZING COMMITTEE -------------------- General Chair: Ale Ude, Jozef Stefan Institute, Slovenia General co-Chairs: Rudiger Dillmann, Karlsruhe Institute of Technology, Germany Stefan Schaal, University of Southern California, USA Program co-Chairs: Nancy Pollard, CMU, USA Jun Morimoto, ATR, Japan Tamim Asfour, Karlsruhe Institute of Technology, Germany Finance Chair: Bojan Nemec, Jozef Stefan Institute, Slovenia Publications Chair: Andrej Gams, Jozef Stefan Institute, Slovenia Tutorials/Workshops co-Chairs: Giorgio Metta, Italian Institute of Technology Ales Leonardis, University of Ljubljana, Slovenia Awards co-Chairs: Gordon Cheng, Technical University of Munich, Germany Kazuhito Yokoi, AIST, Japan Publicity Chair: Erhan Oztop, ATR, Japan ----------------------------- http://www.humanoids2011.org/ From hamid at isys.uni-klu.ac.at Fri Oct 21 15:02:12 2011 From: hamid at isys.uni-klu.ac.at (Hamid Bouchachia) Date: Fri, 21 Oct 2011 21:02:12 +0200 Subject: Connectionists: CFP Special Issue on Online Data Processing Message-ID: <4EA1C1B4.2010306@isys.uni-klu.ac.at> -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= Call for Papers --------------------------------------------------------- Special Issue of NEUROCOMPUTING on ONLINE DATA PROCESSING -=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-=-= SCOPE: In contrast to batch learning where data are assumed to be drawn from a stationary distribution and are available ahead of the training phase, in online learning, the data come over time and can potentially be non-stationary. The data may change drastically in the future so that the model learned so far will be hardly applicable to the future data. Online processing of data embraces two issues: (1) online and adaptive adjustment of system's parameters and (2) continuous evolution of the system's structure. These issues are important for dealing with real-world data streams because of the problems: (1) change of the system dynamics, (2) change of the (or new) operating conditions and (3) increase of the system states over time. Such problems increase the difficulties of building reliable intelligent systems, capable of facing the challenges of online data processing (one-pass processing, storage limitations, non-stationarity, concept drift and shift, etc.). Online data processing of high-speed and non-stationary data streams has prominent relevance in various fields like finance, internet, security, smart environments, industrial processes, robotics, etc. Its application encompasses various tasks such as monitoring, classification, diagnostic, prediction, forecasting, clustering, etc. Over the recent years, there has been an ever growing interest and demand in self-adaptive autonomous systems operating online, capable of sequentially processing massively large and continuous streams of data in an evolving setting. The present special issue of "Neurocomputing" aims at shedding light on the new advances and future avenues of online processing of data with a particular focus on the design issues of online evolving systems, algorithms and methods dedicated to online processing of data and finally novel applications. The special issue welcomes contributions related to all aspects mentioned so far, specifically dealing with the following topics: * Online machine learning o Online prediction with expert advice o Online convex programming o Kernel-based online learning o Online (incremental and decremental) support vector machines o Online active learning o Online bagging and boosting o Sparse online learning o Margin-based online learning o Online clustering o Online regression o Online classification * Computational Intelligence for online data processing o Neural Networks + Self-growing neural networks + Online adaptive and life-long learning + Plastic neural networks + Online dynamic networks + Constructive learning + Plasticity and stability in neural networks + Forgetting and Unlearning in neural networks + Online time series prediction with neural networks + Online self-organization + Online adaptive neuro-fuzzy systems o Fuzzy and probabilistic models + Online fuzzy and probabilistic regression + Online fuzzy and probabilistic classification + Online fuzzy and probabilistic rule systems + Online fuzzy and probabilistic clustering + Online type-2 fuzzy systems + Growing mixture models + Dynamic probabilistic models o Dynamic evolutionary algorithms + Change detection in the environment + Convergence and computational issues + Adaptive evolutionary computation + Methods and strategies of dynamic optimization + Dynamic multi-objective optimization + Real-world applications of dynamic optimization * Issues in online processing o Online/Incremental feature selection and reduction o Online single-pass data mining and pattern recognition o Adaptation in changing environments o Concept drift in online learning systems o Self-monitoring in online learning systems o Self-X systems o Novelty detection in online learning o Hybrid online learning architectures * Applications o Smart systems o Industrial processes o Stock market o Web Mining o Social computing o Robotics o Security, etc. SUBMISSION This special issue of the journal "Neurocomputing " welcomes high quality contributions pertaining to online data processing which are not under consideration elsewhere. All manuscripts must be formatted according to thejournal template and have to be submitted through the online submission system of the journal . Please choose the article type "Special Issue: Online data processing" when submitting your manuscript. Should you have inquiries, please contact the guest editor at hamid at isys.uni-klu.ac.at. IMPORTANT DATES Submission deadline: December 20th, 2011 First author notification: March 1st, 2012 Revised version: May 1st, 2012 Final notification: August 1st, 2012 Publication: Last quarter 2012 GUEST EDITOR Abdelhamid Bouchachia University of Klagenfurt, Austria hamid at isys.uni-klu.ac.at -------------- next part -------------- An HTML attachment was scrubbed... URL: https://mailman.srv.cs.cmu.edu/mailman/private/connectionists/attachments/20111021/0e1a2afe/attachment-0001.html From tomas.hromadka at gmail.com Sun Oct 23 17:42:38 2011 From: tomas.hromadka at gmail.com (Tomas Hromadka) Date: Sun, 23 Oct 2011 17:42:38 -0400 Subject: Connectionists: COSYNE 2012: abstract submission opens TOMORROW (Oct 24) Message-ID: <4EA48A4E.4050502@gmail.com> ================================================================= Computational and Systems Neuroscience (Cosyne) MAIN MEETING WORKSHOPS Feb 23 - 26, 2012 Feb 27 - 28, 2012 Salt Lake City, Utah Snowbird Ski Resort, Utah http://www.cosyne.org ================================================================= The annual Cosyne meeting provides an inclusive forum for the exchange of empirical and theoretical approaches to problems in systems neuroscience, in order to understand how neural systems function. The MAIN MEETING is single-track. A set of invited talks are selected by the Executive Committee, and additional talks and posters are selected by the Program Committee, based on submitted abstracts. The WORKSHOPS feature in-depth discussion of current topics of interest, in a small group setting. Cosyne topics include but are not limited to: neural coding, natural scene statistics, dendritic computation, neural basis of persistent activity, nonlinear receptive field mapping, representations of time and sequence, reward systems, decision-making, synaptic plasticity, map formation and plasticity, population coding, attention, and computation with spiking networks. IMPORTANT DATES: Abstract submission opens: 24 Oct 2011 Abstract submission deadline: 23 Nov 2011 INVITED SPEAKERS: John Assad Michael Brecht Emery Brown Nicolas Brunel Stefano Fusi Tom Griffiths Takao Hensch Zach Mainen Fred Rieke Rebecca Saxe Noam Sobel Sarah Woolley When preparing an abstract, authors should be aware that not all abstracts can be accepted for the meeting, due to space constraints. Abstracts will be selected based on the clarity with which they convey the substance, significance, and originality of the work to be presented. ORGANIZING COMMITTEE: General Chairs: Rachel Wilson (Harvard) and Jim DiCarlo (MIT) Program Chairs: Nicole Rust (Penn) and Jonathan Pillow (UT Austin) Workshop Chairs: Brent Doiron (Pittsburgh) and Jess Cardin (Yale) Publicity Chair: Mark Histed (Harvard Medical School) EXECUTIVE COMMITTEE: Anthony Zador (CSHL) Alexandre Pouget (U Rochester) Zachary Mainen (Champalimaud Neuroscience Programme) From claudia.clopath at parisdescartes.fr Mon Oct 24 04:38:17 2011 From: claudia.clopath at parisdescartes.fr (Clopath Claudia) Date: Mon, 24 Oct 2011 10:38:17 +0200 Subject: Connectionists: Computational Neuroscience Social at SFN Message-ID: <20111024103817.e41pk1oo4kks84ow@webmail.univ-paris5.fr> Dear Friends, dear Colleagues, Join us for the increasingly popular Computational Neuroscience Social at the Society for Neuroscience meeting! Information on computational neuroscience conferences, summer schools, publications, and web resources will be provided, but mainly we will just socialize and network and enjoy each other's company in an informal setting. Everybody is welcome! Special guests: I. Fiete, L. Graham, B. Ermentrout J. Rinzel E. Izhikevich, T. Sejnowski, C. Koch A. Destexhe, K. Miller, X.-J. Wang, G. La Camera, F. Wolf Time: Tuesday, November 15, 2011, 6:45 PM-8:45 PM Location: Congressional Hall A & B Hope to see you all at the social! Claudia Clopath --- Claudia Clopath Universite Paris Descartes http://www.neurophys.biomedicale.univ-paris5.fr/~clopath/ From e.vasilaki at gmail.com Mon Oct 24 06:17:05 2011 From: e.vasilaki at gmail.com (Eleni Vasilaki) Date: Mon, 24 Oct 2011 11:17:05 +0100 Subject: Connectionists: 9 Marie-Curie PhD and Postdoc positions across Europe: 1st round openings Message-ID: *9 Marie-Curie PhD and Postdoc positions across Europe: 1st round openings* Within the framework of the Marie Curie Initial Training Network ?NAMASEN?, European top research centers seek to recruit 7 Early Stage Researcher (ESR) and 2 Experienced Researcher (ER) positions, as of January 1st, 2012. We offer research training in Neuroelectronics and Nanotechnology: towards a Multidisciplinary Approach for the Science and Engineering of Biological Neuronal Networks. A second round, for 2 more ESRs and 1 more ER, will be launched during 2012. First-round application deadline: October 31st, 2011. Appointments for Early Stage Researcher (Marie Curie Fellow) are full-time, fixed terms for three years, tenable from January 1st, 2012. Appointments for Experienced Researcher are full-time, fixed terms for two years, tenable from January 1st, 2012. The Early Stage Researchers will receive supervision for the preparation of a PhD thesis and benefit from the combined resources of the NAMASEN Network. * [Description of NAMASEN*] NAMASEN is the acronym for an Initial Training Network (http:// www.namasen.net), funded by the European Commission under the FP7 Marie-Curie PEOPLE programme. Its ultimate mission is to lay the foundation of a virtual scientific institute for the multi-disciplinary study of Neuroengineering and Network-Neurosciences that will train a new generation of scientists and professionals and that will contribute to Europe?s leading role in scientific innovation. NAMASEN targets both technological and scientific priorities, such as the development of novel multi-electrode arrays and advanced interfaces that functionally interact with neurons and networks. NAMASEN investigates neuro-electronic hybrids as devices able to undergo a functional and anatomical reconfiguration, on the basis of the activity-dependent plasticity and rewiring properties of neurons, under some control by the experimenter. The NAMASEN ITN Network consists of the 10 academic and 3 industrial partners: the University of Antwerp (Belgium), The University of Sheffield (UK), the Institute of Molecular Biology and Biotechnology (IMBB) at the Foundation for Research and Technology-Hellas (FORTH, Greece), the Hebrew University of Jerusalem (Israel), the Swiss Federal Institute of Technology of Lausanne EPFL (Switzerland), the Italian Institute of Technology (Italy), the Nencki Institute of Experimental Biology (Poland), the Interuniversity Center for Microelectronics IMEC (Belgium), the University of Freiburg (Germany), the Natural and Medical Sciences Institute at the University of Tuebingen (Germany), Janssen Pharmaceutica (Belgium), 2-Sight Europe (Switzerland), and Gersteltec Engineering Solutions (Switzerland). Altogether 10 Early Stage Researchers (PhD researchers) and 3 Experienced Researchers (Postdocs) will be recruited during 2011-2012. As a part of their training experience, each researcher will be based in one country but will spend some of their time abroad during secondment periods within the network. Scientific and technological disciplines targeted by each position are diverse and heterogeneous, ranging from microfabrication and nanotechnologies, to experimental neurobiology and computational neuroscience. Individual openings, advertised on the electronic job application page of NAMASEN (http://www.namasen.net), contain relevant information and links to the hosting institutions. The NAMASEN ITN Network offers a unique research environment where leading academics will integrate accepted applicants into their research teams, providing a top-notch structured training programme in Neuroelectronics, Neuroengineering, and Nanotechnologies. Academic partners within the NAMASEN ITN Network will support the Early Stage Researchers to work successfully towards a PhD defense. More information on the NAMASEN ITN Network and its job openings can be found at: http://www.namasen.net *[Salary and Benefits for the Positions*] The Researchers will be appointed on a full-time temporary contacts, for a period of three years (ESRs) or two years (ERs), including a two-to-six-month secondments at different NAMASEN partner. The Researcher will be a Marie Curie fellow and will profit from all Marie Curie benefits, including living, mobility, travel, and career exploratory allowances according to the Marie Curie Framework 7 requirements (http:// ec.europa.eu/mariecurieactions). *[Eligibility*] Candidates for ESR positions must be, at the time of recruitment, in the first four years (full-time equivalent) of their research careers and not yet have been awarded a doctoral degree. This is measured from the date when they obtained the degree, which would formally entitle them to embark on a doctorate, either in the country in which the degree was obtained or in the country in which the research training is provided. In practice, this means they should not have obtained any degree before 31st December 2007 that would entitle them to enroll for a doctorate. In general, this is usually a suitably qualifying Masters degree. Candidates for ER positions must not have worked in a research position / received research training for more than 5 years of their undergraduate degree. The undergraduate degree is the first degree, which allowed them to embark on a PhD program, typically a BA or BSc. Years since the undergraduate degree working outside research do not count. Candidates are normally required to undertake trans-national mobility (i.e. move from one country to another) when taking up their appointment. At the time of recruitment by the host organization, candidates must not have resided or carried out their main activity (work, studies, etc.) in the country of their host organization (i.e. depending on the NAMASEN network partner to apply for) for more than 12 months between 1 November 2008 and 31 December 2011. Applicants for the position at NAMASEN may be a national of any Member State of the European Union, of any Associated Country or of any other third country, but they may not be a national of the hosting country. Availability to travel (including internationally), for the purpose of the research and training activities, is a requirement for the positions. *[Applications and Enquiries*] Candidates are invited to apply to the vacancies. Candidates are also requested to submit their CV in English (max. 5 pages), max. 10 academic publications (in English), including an electronic copy of university diploma (translated to English). A cover letter is also required, where motivations to apply to the NAMASEN consortium in general and to an individual partner, in particular, must be stated clearly. Spam applications will be trashed. Formal applications should be made through the NAMASEN consortium and should be sent by means of the website http://www.namasen.net. Final decisions will be taken upon joint consultations within the NAMASEN Supervisory Board. Informal inquiries concerning the individual positions may be addressed to contact people indicated on online job electronic application forms at www.namasen.net. -- Dr Eleni Vasilaki, www.dcs.shef.ac.uk/~eleni -------------- next part -------------- An HTML attachment was scrubbed... URL: https://mailman.srv.cs.cmu.edu/mailman/private/connectionists/attachments/20111024/1440b5dc/attachment.html From opossumnano at gmail.com Mon Oct 24 09:56:03 2011 From: opossumnano at gmail.com (Tiziano Zito) Date: Mon, 24 Oct 2011 15:56:03 +0200 Subject: Connectionists: ANN: MDP 3.2 released! Message-ID: <20111024135603.GC28362@tulpenbaum.cognition.tu-berlin.de> We are glad to announce release 3.2 of the Modular toolkit for Data Processing (MDP). MDP is a Python library of widely used data processing algorithms that can be combined according to a pipeline analogy to build more complex data processing software. The base of available algorithms includes signal processing methods (Principal Component Analysis, Independent Component Analysis, Slow Feature Analysis), manifold learning methods ([Hessian] Locally Linear Embedding), several classifiers, probabilistic methods (Factor Analysis, RBM), data pre-processing methods, and many others. What's new in version 3.2? -------------------------- - improved sklearn wrappers - update sklearn, shogun, and pp wrappers to new versions - do not leave temporary files around after testing - refactoring and cleaning up of HTML exporting features - improve export of signature and doc-string to public methods - fixed and updated FastICANode to closely resemble the original Matlab version (thanks to Ben Willmore) - support for new numpy version - new NeuralGasNode (thanks to Michael Schmuker) - several bug fixes and improvements We recommend all users to upgrade. Resources --------- Download: http://sourceforge.net/projects/mdp-toolkit/files Homepage: http://mdp-toolkit.sourceforge.net Mailing list: http://lists.sourceforge.net/mailman/listinfo/mdp-toolkit-users Acknowledgments --------------- We thank the contributors to this release: Michael Schmuker, Ben Willmore. The MDP developers, Pietro Berkes Zbigniew J?drzejewski-Szmek Rike-Benjamin Schuppner Niko Wilbert Tiziano Zito From dorianaur at gmail.com Mon Oct 24 12:18:56 2011 From: dorianaur at gmail.com (Dorian Aur) Date: Mon, 24 Oct 2011 09:18:56 -0700 Subject: Connectionists: Predictions from NeuroElectroDynamics (NED) In-Reply-To: References: Message-ID: Every reliable theory has to generate experimentally testable predictions. Unfortunately, even necessarily postdictive explanations are misleading or missing in temporal coding models. Therefore, in addition to previous ?concept cells? topic http://neuroelectrodynamics.blogspot.com/p/concept-cells.html other new simple explanations from NED regarding phantom limb, mirror neurons and sparse coding are posted at: http://neuroelectrodynamics.blogspot.com/p/from-spike-timing-dogma-to.html The longevity of temporal coding idea does not make it correct (e.g. 60 years of temporal coding). Hebb was trained as a psychologist and he was unaware of early development of computational theory. The celebrated topic of firing and wiring together *describes a dynamic process of interaction between neurons *(see NED) rather than hard wired "connectivity" in the brain or temporal coding. In addition, the NED model presents a new type of computation which always occurs within neurons during action potential generation http://neuroelectrodynamics.blogspot.com/p/computing-by-interaction.html. The propagation of action potentials is the result of computing by interaction within the cell that selectively determines a specific synaptic transmission and local propagation of information. http://neuroelectrodynamics.blogspot.com/p/spike-directivity.html . The temporal coding models attempt to approximate only ?weak? interactions between neurons while ?strong? interactions within cells have always been neglected or superficially modeled. We can now predict that this type of computation developed within cells defines the fundamental phenomenon required to build more powerful, non-Turing computing machines. This new model can change computing forever, ?even if most computer scientists don?t know it yet??. Any comments, questions, corrections and suggestions are welcomed at: http://neuroelectrodynamics.blogspot.com/ Dorian Aur, PhD -------------- next part -------------- An HTML attachment was scrubbed... URL: https://mailman.srv.cs.cmu.edu/mailman/private/connectionists/attachments/20111024/ed055fdf/attachment.html From bart at vision.rutgers.edu Tue Oct 25 12:08:48 2011 From: bart at vision.rutgers.edu (Bart Krekelberg) Date: Tue, 25 Oct 2011 12:08:48 -0400 Subject: Connectionists: Research Center Director Position at Rutgers-Newark Message-ID: <6AD9B23761A6F748B9AF311D325639EEBC8509@reality.vision.rutgers.edu> DIRECTOR, CENTER FOR MOLECULAR AND BEHAVIORAL NEUROSCIENCE, RUTGERS UNIVERSITY-NEWARK The Center for Molecular and Behavioral Neurosciences (CMBN) at Rutgers, Newark was created a quarter of a century ago and has grown into a leading research center in Neuroscience, with a solid group of world-class faculty whose research spans systems, behavioral, and computational neuroscience, with methodological approaches as varied as electrophysiology, neuropharmacology, and functional imaging. Moreover, Neuroscience research on the Rutgers Newark campus is growing with hires in social and affective neuroscience in the Department of Psychology, cellular neuroscience in the Department of Biology, and the recent establishment of an interdepartmental Rutgers Brain Imaging Center. CMBN is ready to move into a new era with new opportunities and a new vision. A number of faculty positions have opened up, and this presents an opportunity to rebuild and reconfigure CMBN. Rutgers Newark therefore invites applications for the position of Director of CMBN to guide this transition. We are seeking a world class leader in neuroscience to direct CMBN and to integrate the existing expertise and facilities into an even more impressive neuroscience community. In addition to outstanding communication and interpersonal skills, candidates must have a PhD and/or MD degree, a sustained track record of distinguished scientific accomplishments and external grant funding in an area related to CMBN's research interests, and a demonstrated commitment to excellence in post-graduate training.? The Director will support the development of research activities at CMBN based on a clearly articulated scientific vision, and foster increased interactions with other Neuroscientists in the Psychology and Biology Departments of the Rutgers-Newark Campus. The Director is also expected to maintain a grant funded research program in his/her own laboratory, and play a key role in the recruitment of new faculty. Professorial appointment with tenure will be made to the successful candidate.? Salary is highly competitive and commensurate with qualifications and experience. Rutgers University is an equal opportunity employer and encourages the applications from qualified women and minority candidates. Please send a letter of application and curriculum vitae to: Dr. Alexander E. Gates Vice Chancellor for Research Rutgers University 123 Washington Ave., Ste. 590 Newark, NJ 07102-3026 For further information about CMBN and Rutgers-Newark, see the following websites: www.neuroscience.newark.rutgers.edu www.newark.rutgers.edu For informal inquiries, feel free to contact Bart Krekelberg (bart at rutgers.edu) From ASAHTan at ntu.edu.sg Wed Oct 26 08:29:50 2011 From: ASAHTan at ntu.edu.sg (Tan Ah Hwee (Assoc Prof)) Date: Wed, 26 Oct 2011 20:29:50 +0800 Subject: Connectionists: Research Positions in School of Computer Engineering, Nanyany Technological University In-Reply-To: References: Message-ID: Research Fellow/Research Associate/Research Engineer Research positions are now open for a newly funded project in the field of biologically-inspired cognitive agents. The successful candidates will join a vibrant team of postgraduate students, research scientists and engineers in designing and developing cognitive models for human memory systems, specifically on the representation and learning of declarative and procedural memory as well as the interaction between the distinct memory modules. Applicants for the position must satisfy the following requirement. Research Fellow 1. PhD degree in Computer Science, Computational Neuroscience, Cognitive Science or a related discipline. 2. Research experience with publications in the fields of cognitive modeling, machine learning, knowledge representation and intelligent agents. 3. Competency in Java/C++ programming and application prototype development. 4. Excellent communication and writing skills. Research Associate/Research Engineer 1. Good Masters/Bachelor degree in Computer Science, Cognitive Science or a related discipline. 2. Some experience with research projects in the fields of cognitive modeling, machine learning, knowledge representation and intelligent agents. 3. Excellent Java/C++ programming and application prototype development. 4. Excellent communication and writing skills. The positions are for a period of two years, subject to review and renewal annually. The commencing salary for the above post will be highly competitive and commensurate with the candidates? qualifications and experience. Suitably qualified applicants are invited to send their application on prescribed form (obtainable from http://www.ntu.edu.sg/ohr/Career/SubmitApplications/Pages/Research.aspx), a detailed CV, including a list of publications and names of three referees, and other supporting documents to Ah-Hwee Tan (asahtan at ntu.edu.sg). Email submission should use the subject heading of ?Application for HML Research Position?. Application will remain opened until the positions are filled. We regret that only short-listed candidates will be notified. Best regards Ah-Hwee Tan Associate Professor and Head, Division of Information Systems School of Computer Engineering | Nanyang Technological University Web: www.ntu.edu.sg/home/asahtan ________________________________ CONFIDENTIALITY: This email is intended solely for the person(s) named and may be confidential and/or privileged. If you are not the intended recipient, please delete it, notify us and do not copy, use, or disclose its content. Towards A Sustainable Earth: Print Only When Necessary. Thank you. -------------- next part -------------- An HTML attachment was scrubbed... URL: https://mailman.srv.cs.cmu.edu/mailman/private/connectionists/attachments/20111026/d9f16fb4/attachment-0001.html From ajyu at ucsd.edu Fri Oct 28 01:30:34 2011 From: ajyu at ucsd.edu (Angela Yu) Date: Thu, 27 Oct 2011 22:30:34 -0700 Subject: Connectionists: Postdoc - Computational Cognitive Neuroscience - UCSD Message-ID: Dr. Angela Yu will be interviewing candidates at Society for Neuroscience Meeting in Washington DC (Nov. 12-16). ------------------------------------------------------------------------------------ Applications are invited for a postdoctoral position in the Computational Cognitive Neuroscience Lab, led by Angela Yu, at University of California, San Diego. Initial appointment is for one year, with flexible start date and possibility for renewal. The project is to develop a decision-theoretical framework for the inter-related problems of perceptual decision-making, active vision, statistical learning, and social decision-making. Candidates must have a strong mathematical background in areas including but not restricted to frequentist and Bayesian statistics, reinforcement learning, information theory, and control theory. Experience with measure-theoretic probability theory, stochastic processes, stochastic control theory (stopping problems, bandit problems, sequential decision problems), and/or dynamical systems analysis is a bonus. Candidate should also have programming experience, such as Matlab or equivalent. Research experience in behavioral experiments and fMRI/EEG neuroimaging is highly desired. Applicants should be committed to applying rigorous mathematical tools to modeling cognitive and neural processes, as well as carrying out human behavioral experiments and collaborating with other human/animal neuroscience laboratories. Dr. Yu's lab is situated within the Natural Computation Lab in the Cognitive Science department of UCSD. It is affiliated with the Temporal Dynamics of Learning Center, the UCSD Neurosciences Graduate Program, and the Institute of Neural Computation. It provides ample opportunities for communication and collaboration with related labs not only with other groups in the department of Cognitive Science, but also in Psychology, Linguistics, Neuroscience, Electric and Computer Engineering, Computer Science and Engineering, as well as the Salk Institute. Interested candidates should send a research statement, along with a CV including publications and references to: ajyu at ucsd.edu. Two or more letters of references should be sent directly to the same address. --------------------------------------------------------- Angela J. Yu Assistant Professor Department of Cognitive Science UCSD, Mail Code 0515 9500 Gilman Drive La Jolla, CA 92093-0515 Email: ajyu at cogsci.ucsd.edu Phone: 858-822-3317 Fax: 858-534-1128 Website: www.cogsci.ucsd.edu/~ajyu --------------------------------------------------------- --------------------------------------------------------- Angela J. Yu Assistant Professor Department of Cognitive Science UCSD, Mail Code 0515 9500 Gilman Drive La Jolla, CA 92093-0515 Email: ajyu at ucsd.edu Phone: 858-822-3317 Fax: 858-534-1128 Website: www.cogsci.ucsd.edu/~ajyu --------------------------------------------------------- -------------- next part -------------- An HTML attachment was scrubbed... URL: https://mailman.srv.cs.cmu.edu/mailman/private/connectionists/attachments/20111028/19d8963d/attachment.html From alexandar.jevtic at gmail.com Wed Oct 26 10:48:40 2011 From: alexandar.jevtic at gmail.com (Aleksandar Jevtic) Date: Wed, 26 Oct 2011 16:48:40 +0200 Subject: Connectionists: CFP: WAC 2012 special session on Bioinspired models for robotics and human-robot interaction In-Reply-To: References: Message-ID: Our apologies for any multiple postings that you may have received. ------------------------------------ CFP special session on Bioinspired models for robotics and human-robot interaction Scope: We invite authors to submit their original research work on bioinspired models and methods applied to robotics, human-robot interaction, and human-computer interaction in general. The authors that perform their research in the field of signal processing, pattern recognition, or machine learning, and whose work may contribute to this topic are also invited to submit their papers. Organizer: Aleksandar Jevti?, Robosoft S.A., France (aleksandar.jevtic at robosoft.fr) Co-organizer: Eric Lucet, Robosoft S.A., France (eric.lucet at robosoft.fr) ------------------------------------ Dear Colleagues, Let me kindly inform you that there is an open call for papers, until November 28, for the special session ?Bioinspired models for robotics and human-robot interaction? that will be organized under the upcoming 9th International Symposium on Soft Computing for Industry (ISSCI 2012): http://wacong.org/issci.html The ISSCI 2012 will be one of the five tracks of the World Automation Congress (WAC 2012). The congress will be held in Puerto Vallarta, Mexico on June 24-28, 2012 at the Hotel Fiesta Americana. http://wacong.org The ISSCI aims to bring together scientists, developers and users of hardware and software applications in which the principles of soft computing techniques are involved. Topics: We invite papers on theoretical issues and their applications related to soft computing methods. Suggested topics include but are not limited to theory and software/hardware implementations of soft computing techniques such as: ? Neural Nets ? Swarm Intelligence ? Fuzzy Systems ? Pattern Recognition ? Fuzzy-Neural Systems ? Genetic Algorithms ? Evolutionary Systems ? Support Vector Machines Chair: Diego Andina, Technical University of Madrid, Spain (andina at gc.ssr.upm.es) Co-chairs: Alireza Sadeghian, Ryerson University, Canada, Matthias Reuter TU-Clausthal, Germany Antonio Vega-Corona. Univ. Guanajuato, Mexico Rub?n Ruelas. Univ. Guadalajara, Mexico International Program Committee: Michael Packianather (UK) Valentina Balas (Romania) Chung-Shi Tseng (Taiwan) Farhat Fnaiech (Tunisia) Teresa Restivo (Portugal) Horv?th L?szl?(Hungary) Tshilidzi Marwala (South Africa) Pablo Cort?s (Spain) Rub?n San-Segundo (Spain) Benjam?n Ojeda (M?xico) Armando Colombo (Germany) Stefano Panzieri (Italy) Gustavo Meschino (Argentina) Daniel Ru?z (Spain) Dariush Shahgoshtasbi (USA) Gordon K Lee (USA) Alexis E Marcano (Venezuela) Ana M Tarquis (Spain) Marco Castelliani (Norway) Gu Fang (Australia) Aleksandar Jevti? (Serbia) J.M. Barr?n (M?xico) Jasmin Velagic (Bosnia&Herzegovina) Hui Li (China) More information and instructions concerning how to submit papers on: http://wacong.org ------------------------------------ Time Schedule: Nov 28, 2011 Special session papers & regular papers Jan 20, 2012 Acceptance Notification Mar 1, 2012 Submission of final Manuscript Apr 1, 2012 Early Registration June 24-28, 2012 Congress ------------------------------------ (WAC papers can be found in IEEE Xplore database). WAC 2012 is dedicated to Nobel Laureate Professor Mario Molina for his fundamental and outstanding contributions to science and technology of our environment, especially for the discovering of the Antarctic ozone hole and his role in elucidating the threat to the Earth's ozone layer of chlorofluorocarbon gases General Chairman: Mo Jamshidi, The University of Texas, San Antonio, USA (moj at wacong.org) Co-General Chair: Jila Salari Jamshidi, TSI Enterprises, Inc., San Antonio, TX, USA (tsi at wacong.org) Organizing Committee: Chair: Edgar N. Sanchez, CINVESTAV, Guadalajara, Mexico Co-chair: Jorge Benitez-Read, ININ, Toluca, Mexico Alma Y. Alanis, (UDG) Guadalajara, Mexico Ana E. Martin del Campo (UDG) Pto. Vallarta, Mexico Special Issues of ? Intelligent Automation and Soft Computing (AutoSoft Journal) and IEEE Systems Journal - WAC accepted and presented papers can be coordinated into a unified theme as special issue of the WAC. Kind regards, -- Aleksandar Jevtic, Ph.D. Marie Curie Fellowship Postdoctoral Researcher ROBOSOFT - Technopole d?Izarbel ? F-64210 BIDART Tel: + 33(0) 559 415 364 ? Fax : + 33(0) 559 415 379 www.robosoft.fr -------------- next part -------------- An HTML attachment was scrubbed... URL: https://mailman.srv.cs.cmu.edu/mailman/private/connectionists/attachments/20111026/46c4ee1d/attachment.html From t.heskes at science.ru.nl Sat Oct 29 16:28:16 2011 From: t.heskes at science.ru.nl (Tom Heskes) Date: Sat, 29 Oct 2011 22:28:16 +0200 Subject: Connectionists: Neurocomputing volume 74 (issue 18) Message-ID: <4EAC61E0.8070000@science.ru.nl> Neurocomputing volume 74 (issue 18) http://www.sciencedirect.com/science/issue/271597-1-s2.0-S0925231211X00127 ----------- REGULAR PAPERS A multi-scale supervised orientational invariant neural architecture for natural texture classification F.J. D?az-Pernas, M. Ant?n-Rodr?guez, F.J. Perozo-Rond?n, D. Gonz?lez-Ortega Optimal H? fusion filters for a class of discrete-time intelligent systems with time delays and missing measurement Meiqin Liu, Donglian Qi, Senlin Zhang, Meikang Qiu, Shiyou Zheng Adaptive neural control for uncertain systems subject to actuator failure Tinggang Jia, Yuanyuan Zou, Yugang Niu Improved discriminant locality preserving projections for face and palmprint recognition Jiwen Lu, Yap-Peng Tan Stability analysis for discrete delayed Markovian jumping neural networks with partly unknown transition probabilities Y. Lu, W. Ren, S. Yi, Y. Zuo Neural network based controller for Cr6+?Fe2+ batch reduction process Chew Chun Ming, M.A. Hussain, M.K. Aroua Column subset selection for active learning in image classification Jianfeng Shen, Bin Ju, Tao Jiang, Jingjing Ren, Miao Zheng, Chengwei Yao, Lanjuan Li A computational model for signaling pathways in bounded small-world networks corresponding to brain size Shushuang Man, Dawei Hong, Michael A. Palis, Joseph V. Martin Discriminative concept factorization for data representation Wei Hua, Xiaofei He Stochastic synchronization in an array of neural networks with hybrid nonlinear coupling Jian Feng, Shenquan Wang, Zhanshan Wang Gaussian kernel optimization: Complex problem and a simple solution Jiang-Bo Yin, Tao Li, Hong-Bin Shen Recent advances and trends in visual tracking: A review Hanxuan Yang, Ling Shao, Feng Zheng, Liang Wang, Zhan Song Apply extended self-organizing map to cluster and classify mixed-type data Chung-Chian Hsu, Shu-Han Lin, Wei-Shen Tai Optimization of battery strengths in the Hodgkin?Huxley model Patrick Crotty, Thomas Sangrey A novel neural network ensemble architecture for time series forecasting Iffat A. Gheyas, Leslie S. Smith Self adaptive growing neural network classifier for faults detection and diagnosis M. Barakat, F. Druaux, D. Lefebvre, M. Khalil, O. Mustapha Convergence analysis of a class of simplified background neural networks with two subnetworks Fang Xu, Zhang Yi Excitability range of medium spiny neurons widens through the combined effects of inward rectifying potassium current inactivation and dopaminergic modulation John Eric Steephen Color image segmentation using automatic pixel classification with support vector machine Xiang-Yang Wang, Qin-Yan Wang, Hong-Ying Yang, Juan Bu Self-calming of a random network of dendritic neurons Edita Sakyte, Minvydas Ragulskis An iterative algorithm for robust kernel principal component analysis Hsin-Hsiung Huang, Yi-Ren Yeh From local neural networks to granular neural networks: A study in information granulation Mingli Song, Witold Pedrycz ----------- BRIEF PAPERS Optimal locality preserving projection for face recognition Yu Chen, Xiao-hong Xu, Jian-huang Lai Combine crossing matching scores with conventional matching scores for bimodal biometrics and face and palmprint recognition experiments Yong Xu, Qi Zhu, David Zhang ------------ JOURNAL SITE: http://www.elsevier.com/locate/neucom From jbednar at inf.ed.ac.uk Fri Oct 28 06:04:18 2011 From: jbednar at inf.ed.ac.uk (James A. Bednar) Date: Fri, 28 Oct 2011 11:04:18 +0100 Subject: Connectionists: Paper and thesis on orientation and face perception Message-ID: <20138.32290.819855.212714@cortex.inf.ed.ac.uk> I am very pleased to announce the publication of the following paper in Vision Research: Chen Zhao, Peggy Seri?s, Peter J. B. Hancock, and James A. Bednar. Similar neural adaptation mechanisms underlying face gender and tilt aftereffects. Vision Research, 51(18):2021-2030, 2011. http://dx.doi.org/10.1016/j.visres.2011.07.014 This paper may be of interest to both computational and psychophysical researchers, because it shows how computational models developed for low-level vision (oriented lines) can help explain higher visual function (face gender perception). Specifically, we found that models based on the primary visual cortex successfully predicted previously unknown and important aspects of face gender perception. These results support the idea that higher vision uses similar mechanisms as early vision, and are in conflict with prevailing theories of face perception that rely on norm-based encoding. Additional details and related models are available in Roger's recently completed PhD: http://homepages.inf.ed.ac.uk/jbednar/papers/zhao.phd11.pdf We are very interested in hearing feedback about this work, particularly from those working on norm-based theories of higher visual perception. Jim Dr. James A. Bednar Institute for Adaptive and Neural Computation University of Edinburgh, UK http://homepages.inf.ed.ac.uk/jbednar -- The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. From P.Tino at cs.bham.ac.uk Sun Oct 30 13:01:39 2011 From: P.Tino at cs.bham.ac.uk (Peter Tino) Date: Sun, 30 Oct 2011 17:01:39 +0000 Subject: Connectionists: Postdoc position in Computational Neuroscience & Imaging Message-ID: <17f3800fd87e998ce4ea6f44e0277cb0@cs.bham.ac.uk> UNIVERSITY OF BIRMINGHAM, UK A Post-doctoral Research Fellow is available to work with Zoe Kourtzi (Psychology) and Peter Tino (Computer Science) at the University of Birmingham. The successful applicant will combine brain imaging methods (fMRI, EEG, TMS), computational analysis, behavioural measurements and modelling to examine the neural basis of learning and brain plasticity. The work makes use of state-of-the-art brain imaging techniques and analysis methods. Research will be conducted within well-equipped labs that incorporate a range of bespoke equipment. The School of Psychology provides an excellent working environment with a pronounced research focus and international expertise in Vision Science, Behavioural Neuroscience and Cognitive Neuroscience. Facilities include an Imaging Centre with integrated equipment for the study of human brain and behaviour (3T scanner, EEG) as well as numerous virtual reality devices and eye trackers. The work will be conducted in close collaboration with colleagues in Computer Science. Our research group further benefits from regular interactions with a wide network of international collaborators. Candidates should hold or expect to hold a Ph.D. in Cognitive Neuroscience, Computer Science, Psychology, Physics, Mathematics or a related field. Programming skills (e.g. Matlab, C) are essential and experience with brain imaging methods is desirable. Informal enquiries should be directed to Zoe Kourtzi: z.kourtzi at bham.ac.uk Please send CV and a statement of research background and interests -- Peter Tino The University of Birmingham School of Computer Science Edgbaston, Birmingham B15 2TT, UK +44 121 414 8558 http://www.cs.bham.ac.uk/~pxt/ From t.heskes at science.ru.nl Sun Oct 30 03:08:27 2011 From: t.heskes at science.ru.nl (Tom Heskes) Date: Sun, 30 Oct 2011 08:08:27 +0100 Subject: Connectionists: Neurocomputing volume 75 (issue 1) Message-ID: <4EACF7EB.3010607@science.ru.nl> Neurocomputing volume 75 (issue 1) http://www.sciencedirect.com/science/issue/271597-1-s2.0-S0925231211X00139 ----------- SPECIAL PAPERS (SBRN 2010) Automatic parameters selection in machine learning (editorial) Teresa B. Ludermir, Marcilio C.P. de Souto, Marley Vellasco Combining meta-learning and search techniques to select parameters for support vector machines Taciana A.F. Gomes, Ricardo B.C. Prud?ncio, Carlos Soares, Andr? L.D. Rossi, Andr? Carvalho A constructive algorithm to synthesize arbitrarily connected feedforward neural networks Wilfredo J. Puma-Villanueva, Eur?pedes P. dos Santos, Fernando J. Von Zuben Analysis of complexity indices for classification problems: Cancer gene expression data Ana C. Lorena, Ivan G. Costa, Newton Spola?r, Marcilio C.P. de Souto Measuring the convergence and diversity of CDAS Multi-Objective Particle Swarm Optimization Algorithms: A study of many-objective problems Andre B. de Carvalho, Aurora Pozo Classical and superposed learning for quantum weightless neural networks Adenilton J. da Silva, Wilson R. de Oliveira, Teresa B. Ludermir ----------- SPECIAL PAPERS (HAIS 2010) New trends and applications on hybrid artificial intelligence systems (editorial) Emilio Corchado, Manuel Gra?a, Micha? Wo?niak A comparative study of feature extraction methods for the diagnosis of Alzheimer's disease using the ADNI database F. Segovia, J.M. G?rriz, J. Ram?rez, D. Salas-Gonzalez, I. ?lvarez, M. L?pez, R. Chaves, The Alzheimer's Disease Neuroimaging Initiative Hybrid dendritic computing with kernel-LICA applied to Alzheimer's disease detection in MRI Darya Chyzhyk, Manuel Gra?a, Alexandre Savio, Josu Maiora A probabilistic, discriminative and distributed system for the recognition of human actions from multiple views Rodrigo Cilla, Miguel A. Patricio, Antonio Berlanga, Jos? M. Molina Grammatical inference with bioinformatics criteria Vivian F. L?pez, Ramiro Aguilar, Luis Alonso, Mar?a N. Moreno, Juan M. Corchado Response calibration in neuroblastoma cultures over multielectrode array J.M. Cuadra, J.R. ?lvarez-S?nchez, D. de Santos, V. Lorente, J.M. Ferr?ndez, F. de la Paz, E. Fern?ndez Self-emergence of a common lexicon by evolution in teams of autonomous agents Dar?o Maravall, Javier de Lope, Ra?l Dom?nguez EVOR-STACK: A label-dependent evolutive stacking on remote sensing data fusion Jorge Garc?a-Guti?rrez, Daniel Mateos-Garc?a, Jos? C. Riquelme-Santos Parameter estimation of q-Gaussian Radial Basis Functions Neural Networks with a Hybrid Algorithm for binary classification Francisco Fern?ndez-Navarro, C?sar Herv?s-Mart?nez, Pedro A. Guti?rrez, Jose M. Pe?a-Barrag?n, Francisca L?pez-Granados Improved competitive learning neural networks for network intrusion and fraud detection John Zhong Lei, Ali A. Ghorbani Automatic neural-based pattern classification of motion behaviors in autonomous robots Abraham Prieto, Francisco Bellas, Pilar Caama?o, Richard J. Duro Argument-based agreements in agent societies S. Heras, V. Botti, V. Juli?n GRAMOFON: General model-selection framework based on networks Krisztian Buza, Alexandros Nanopoulos, Tom?? Horv?th, Lars Schmidt-Thieme WeVoS-ViSOM: An ensemble summarization algorithm for enhanced data visualization Emilio Corchado, Bruno Baruque Soft computing methods applied to combination of one-class classifiers Tomasz Wilk, Michal Wozniak A hybrid discriminative/generative approach to protein fold recognition Wies?aw Chmielnicki, Katarzyna Sta?por Label-dependent node classification in the network Przemyslaw Kazienko, Tomasz Kajdanowicz ReliefF-MI: An extension of ReliefF to multiple instance learning Amelia Zafra, Mykola Pechenizkiy, Sebasti?n Ventura Multi-objective learning of white box models with low quality data Jos? R. Villar, Alba Berzosa, Enrique de la Cal, Javier Sedano, Marco Garc?a-Tamargo ------------ JOURNAL SITE: http://www.elsevier.com/locate/neucom From M.Montemurro at manchester.ac.uk Mon Oct 31 10:59:25 2011 From: M.Montemurro at manchester.ac.uk (Marcelo Montemurro) Date: Mon, 31 Oct 2011 14:59:25 +0000 Subject: Connectionists: Funded PhD in Computational Neuroscience - The University of Manchester Message-ID: <30827533-55DE-4334-9BB0-8072696E53EE@manchester.ac.uk> Dear All, applications are invited for a 3-year PhD studentship to work on a project entitled 'Quantifying the contribution of melanopsin to the processing of complex visual information' under the supervision of Dr Marcelo Montemurro and Prof Robert Lucas at the Faculty of Life Siences. The 3-year studentship will provide full support for tuition fees and an annual minimum tax-free stipend of ?13,590. This studentiship is available to UK/EU nationals only due to the nature of the funding and is due to start October 2012. The project is highly interdisciplinary and involves close interaction between computational and experimental approaches. The successful applicant will work on the development of computational analysis methods based on information theory and their application to experimental data gathered at Lucas' lab. The student will also have the opportunity to receive training in experimental methods and actively particiape in experiment design. The precise balance between the different types of approaches will be defined according to he the student's background and interests. Further details can be found at: http://www.neuroscience.manchester.ac.uk/Postgraduate/opportunities/contributionofmelanopsin.pdf For enquires, please write to Dr Marcelo Montemurro (m.montemurro at manchester.ac.uk). Applications are invited up to and including Wednesday 7 December 2011. Regards, -- Dr. Marcelo A. Montemurro Faculty of Life Sciences University of Manchester Room 3.606 Stopford Building Oxford Road Manchester, M13 9PT UK phone: +44(0)161 306 3883 -------------- next part -------------- An HTML attachment was scrubbed... URL: https://mailman.srv.cs.cmu.edu/mailman/private/connectionists/attachments/20111031/e17a401b/attachment.html From thomas.wennekers at plymouth.ac.uk Mon Oct 31 09:13:59 2011 From: thomas.wennekers at plymouth.ac.uk (Thomas Wennekers) Date: Mon, 31 Oct 2011 13:13:59 +0000 Subject: Connectionists: Second Call: Workshop on Sounds and Sound Processing in Natural and Artificial Systems - 20/21 February 2012, Plymouth (UK) Message-ID: <201110311313.59515.thomas.wennekers@plymouth.ac.uk> Making Sense of Sounds Workshop on Sounds and Sound Processing in Natural and Artificial Systems 20/21 February 2012, Plymouth UK How much can we learn about what is going on in the world simply by listening? http://helen.pion.ac.uk/the-meaning-of-sound-2012 Living organisms constantly generate sonic cues about their presence as they move and interact with the world around them. What can we tell about their behaviour or state of mind through the sounds they emit or modulate as they act and interact with the environment? This workshop will discuss many aspects of sound processing, including sound perception in natural systems (humans and animals), the use of sounds to probe the environment (bio-sonar), computational modelling of auditory processing, and the development of bio-inspired real-time sound processing systems. Submissions are invited that address, but are not restricted to, the following topics: ? Listening in time ? Listening in the real world ? Listening to movement ? Neural basis for auditory perception ? Bio-inspired hardware devices and systems Submissions may take the form of a talk, poster or demo; please indicate your preferred medium. Deadlines: ? Abstract : 31 December 2011 ? Registration : 31 January 2012 Invited Speakers ? Andreas Andreou (Johns Hopkins University) ? Tjeerd Andringa (Groningen University) ? Guy Brown (Sheffield University) ? Maria Chait (Ear Institute, UCL) ? Susan Denham (Plymouth University) ? Julio Georgiou (University of Cyprus) ? Alexander Gutschalk (Heidelberg University) ? Giacomo Indiveri (University of Zurich) ? Georg Klump (Oldenburg University) ? Katrin Krumbholz (MRC Institute of Hearing Research) ? Maneesh Sahani (Gatsby Institute, UCL) ? Thomas Wennekers (Plymouth University) ? Istvan Winkler (Institute for Psychology, Hungary) Conference venue will be the Plymouth Marine Aquarium http://www.national-aquarium.co.uk/ There will be a conference dinner at the Aquarium Feb the 20th, and a public evening talk at Feb 21 by Andreas Andreou: "Mind from matter; a journey through sound" Participating in this workshop is free and there is some financial support for those students or postdocs needing it. It is not required to present a poster to apply for a travel grant. Abstracts (100-200 words) should be submitted by email to: scandleworkshop at gmail.com Workshop websites with additional information: http://www.pion.ac.uk/the-meaning-of-sound-2012 http://scandle.eu Please send any further enquiries to Lucy Davies: lucy.davies4 at plymouth.ac.uk This workshop is funded by the European Community through grant ICT-231168-SCANDLE --- "SCANDLE: acoustic SCene ANalysis for Detecting Living Entities"