From etuci at ulb.ac.be Sat Jul 1 06:56:27 2006 From: etuci at ulb.ac.be (Elio Tuci) Date: Sat, 01 Jul 2006 12:56:27 +0200 Subject: Connectionists: Short term 'Visiting Fellowships - IRIDIA-ULB - Brussels Message-ID: <44A654DB.4050303@ulb.ac.be> MARIE CURIE EARLY STAGE RESEARCH TRAINING FELLOWSHIPS at IRIDIA, FREE UNIVERSITY OF BRUSSELS (ULB) The IRIDIA (Institut de Recherches Interdisciplinaires et de D?veloppements en Intelligence Artificielle - http://iridia.ulb.ac.be/) research group at the Free University of Brussels (ULB) is as a Host Institution for Marie Curie Early Stage Research Training (EST) Fellowships. IRIDIA has an opening for a short term 'Visiting Fellowships' (from 6 to 12 months) with a starting date in October 2006. Project description The COMP2SYS (COMPutational intelligence methods for COMPlex SYStems) Early Stage Training project focuses on the training of early stage researchers to the use of Computational Intelligence techniques for the treatment of complex systems in science and engineering. The programme aims at developing the knowledge and skills necessary to solve complex problems using the powerful emergent methods and tools of Computational Intelligence. The programme focuses on five main topics: 1. Evolutionary computation 2. Ant colony optimization 3. Artificial chemistry and biological networks 4. Theoretical and applied machine learning 5. Swarm intelligence and swarm robotics COMP2SYS has an opening for up to 12 months for a young visiting scientist: typically a doctoral student of another university who is pursuing her/his doctorate on a topic related to Computational Intelligence. Occasionally she/he can be an early stage researcher in a company research lab. The typical stay at ULB-IRIDIA will last for a period of time ranging from 6 to 12 months. More details on the COMP2SYS project are available at http://iridia.ulb.ac.be/comp2sys/ We explicitly encourage women to apply for our advertised positions, including those returning to work and/or those with flexible working needs. We guarantee that the selection process will give equal opportunities to female and male applicants and that regarding salary, promotions, career development and all other aspects of employment, equal opportunities shall be vigorously pursued. NB: mobility allowances for employees with dependants may be higher. Eligibility conditions are restricted, so please carefully check these before contacting Dr. Tuci, to whom applications and a CV should be sent by email (etuci at ulb.ac.be). Please refer to the following Marie-Curie website: http://europa.eu.int/comm/research/fp6/mariecurie-actions/action/level_en.html From renaud.jolivet at epfl.ch Sat Jul 1 08:27:33 2006 From: renaud.jolivet at epfl.ch (Renaud Jolivet) Date: Sat, 01 Jul 2006 14:27:33 +0200 Subject: Connectionists: EPFL Computer Science Summer Research Institute Message-ID: <44A66A35.4030306@epfl.ch> Dear all, The EPFL I&C Summer Research Institute starts on Monday, 3 July. This is an annual event organized by the School of Computer & Communications Sciences. During this period the activities of the department and its laboratories are centered on research and a large number of visiting scholars from renowned international institutes are invited. The purpose is to create an informal but rich scientific environment that is a fertile ground for the development of new ideas and the consolidation of ongoing research. We would greatly appreciate your help in publicizing this event by forwarding details to those of your contacts whom you feel would be interested in attending the talks. You will find the complete program on the I&C Memento and also on the following site: http://talk.epfl.ch/ Best, Renaud Jolivet -- Renaud Jolivet PhD Brain Mind Institute EPFL -- http://icwww.epfl.ch/~rjolivet +41 21 693 9687 From g.goodhill at imb.uq.edu.au Wed Jul 5 20:33:42 2006 From: g.goodhill at imb.uq.edu.au (Geoffrey Goodhill) Date: Thu, 06 Jul 2006 10:33:42 +1000 Subject: Connectionists: Network issue 17.2 now available Message-ID: <44AC5A66.2080508@imb.uq.edu.au> Dear Connectionists, Issue 17:2 (June 2006) of Network: Computation in Neural Systems is now available online via http://www.tandf.co.uk/journals/titles/0954898X.asp (click "online contents" on the far rhs); the contents are also listed below. Since the journal moved to an online submission system last February turnaround of papers has been rapid, with an average time from submission to first decision of less than one month. Papers may be submitted via http://mc.manuscriptcentral.com/ncns. ------------ Estimating receptive fields in the presence of spike-time jitter pp. 103 - 129 Tim Gollisch Mean field theory for a balanced hypercolumn model of orientation selectivity in primary visual cortex pp. 131 - 150 Alexander Lerchner, Gustaf Sterner, John Hertz, Mandana Ahmadi The importance of different timings of excitatory and inhibitory pathways in neural field models pp. 151 - 172 Carlo Laing and Stephen Coombes Generation of time delays: Simplified models of intracellular signalling in cerebellar Purkinje cells pp. 173 - 191 Volker Steuber, David Willshaw, Arjen Van Ooyen Classification of stationary neuronal activity according to its information rate pp. 193 - 210 Lubomir Kostal and Petr L?nsk? --------------- Sincerely, Geoff Goodhill Editor-in-Chief, Network: Computation in Neural Systems From derdogmus at ieee.org Thu Jul 6 15:03:26 2006 From: derdogmus at ieee.org (Deniz Erdogmus) Date: Thu, 06 Jul 2006 12:03:26 -0700 Subject: Connectionists: Neurocomputing Special Issue on Advances in Blind Signal Processing Message-ID: <44AD5E7E.2020808@ieee.org> Connectionists: We would like to remind the upcoming special issue with submission deadline of 28 August 2006. You can view the CFP at the following page: http://www.elsevier.com/inca/publications/misc/Blind Signal Processing.pdf Regards, -- Deniz Erdogmus Assistant Professor Departments of BME and CSEE Oregon Health & Science University 20000 NW Walker Road, Beaverton, OR 97006 (Tel) 1-503-7482007, (Fax) 1-503-7481553 http://www.csee.ogi.edu/~deniz derdogmus at ieee.org From nkasabov at aut.ac.nz Mon Jul 3 22:36:40 2006 From: nkasabov at aut.ac.nz (Nikola Kasabov) Date: Tue, 04 Jul 2006 14:36:40 +1200 Subject: Connectionists: Forthcoming book on Evolving Connectionist Systems Message-ID: Please, post this announcement to interested colleagues.Thanks,regardsNik Kasabov *-----------------------------------------------------------------------------------------------------------------------------------------------Nikola Kasabov Evolving Connectionist SystemsThe Knowledge Engineering Approach2006 2nd ed. Approx. 400 p. 185 illus. Softcover, ISBN 1 -84628-345-0 Springer, www.springer,comThis second edition of Evolving Connectionist Systems presents generic computational methods and techniques that can be used for the development of evolvable, adaptive, knowledge-based models and systems, that also include new trends, such as: personalised modelling, computational neuro-genetic models; quantum information processing related to connectionist models. New applications for bioinformatics, autonomous robots, adaptive decision support systems, adaptive multimodal system, etc are also added. The models and techniques presented are connectionist-based, integrating neural networks, fuzzy rule-base systems, evolutionary computation, and statistical techniques. Divided into three parts, the book opens with evolving processes in nature; looks at methods and techniques that can be used in evolving connectionist systems; then covers various applications in bioinformatics and brain studies; finishing with applications for intelligent machines. Aimed at all those interested in developing adaptive models and systems to solve challenging real world problems in computer science and engineering.Contents: From the contents: Part 1 Evolving Connectionist Systems: Methods and Techniques * Introduction: Evolving Information Processes and Evolving Intelligence * Feature selection, Model Creation and Model Validation: Statistical Learning Approaches * Evolving Unsupervised Learning Methods: Clustering and Vector Quantisation * Evolving Connectionist Methods for Supervised Learning * State-Based and Spiking Neural Networks * Evolving Neuro-Fuzzy Inference Systems * Population/Generation-Based Methods: Evolutionary Computation - Evolving Integrated Multi-Model Systems * Part II Inspiration from-, and Applications to Natural Biological Systems * Data Analysis, Modelling and Knowledge Discovery in Bioinformatics * Dynamic Modelling of Brain Functions and Cognitive Processes * Modelling the Emergence of Acoustic Segments from Spoken Languages * Part III Evolving Intelligent Systems * Adaptive Speech Recognition * Adaptive Image Processing * Adaptive Multi-modal Systems * Evolving Robotics and Socio-Economic Systems- Quantum Inspired Connectionist Systems. __________________________________________________________ Prof. Nik Kasabov, PhD, FRSNZ Founding Director and Chief Scientist - Knowl. Eng. and Discovery Res. Inst., KEDRI Chair of Knowl. Eng., School of Comp. and Inform. Sciences Auckland University of Technology, 581 Great South Rd, 1020 Auckland New Zealand, , email: nkasabov at aut.ac.nz PA and contact: Mrs Joyce D'Mello, jdmello at aut.ac.nz; ph.: +64 9 9219504 ______________________________________________________________ From atc27 at cam.ac.uk Wed Jul 5 09:58:33 2006 From: atc27 at cam.ac.uk (A. Taylan Cemgil) Date: Wed, 5 Jul 2006 14:58:33 +0100 Subject: Connectionists: post-doctoral fellowship Message-ID: <006601c6a03b$1acb3f00$5b9aa981@SIGPROCLAB.local> POST-DOCTORAL FELLOWSHIP. Institute of Information Science and Technologies, National Research Council (ISTI-CNR), Pisa, Italy, and BILKENT UNIVERSITY, Ankara, Turkey. Subject: Sequential Monte Carlo Learning for Event Detection in Multimodal Sources The candidate will study particle filters or sequential Monte Carlo techniques for instantaneous event detection and feature extraction in multimedia data. Particle filters which are generalized versions of Kalman filters in which the process and observation equations could possibly be nonlinear and the process and measurements are possibly non-Gaussian. Particle filters provide a state space formulation which is a generalization of the Kalman filtering to the nonlinear evolution and observation equations and to non-Gaussian signal and noise. Due to its potential in modeling non-stationary data, it is very adapt to detect instantaneous events. MUSCLE (Multimedia Understanding Through Semantics and Computation www.muscle-noe.org) is an EC-sponsored Network of Excellence that aims at establishing and fostering closer collaboration between research groups in multimedia datamining and machine learning. The Network integrates the expertise of over forty research groups working on image and video processing, speech and text analysis, statistics and machine learning. The goal is to explore the full potential of statistical learning and cross-modal interaction for the (semi-)automatic generation of robust meta-data with high semantic value for multimedia documents. Contact: A. Enis Cetin cetin at bilkent.edu.tr or Ercan Kuruoglu kuruoglu at isti.cnr.edu Duration: 18 Months : 9 months in Italy and 9 Months in Turkey Salary: 2350 Euros/month (net) + Health insurance + Travel expenses ---------------------------------------------------------- Ali Taylan Cemgil, Research Associate, U. of Cambridge, UK web: http://www-sigproc.eng.cam.ac.uk/~atc27/ phone: +44 1223 332766 Signal Processing and Communications Laboratory Dept. of Engineering, University of Cambridge Trumpington Street, Cambridge, CB2 1PZ, UK ---------------------------------------------------- From l.wiskott at biologie.hu-berlin.de Tue Jul 4 09:02:59 2006 From: l.wiskott at biologie.hu-berlin.de (Laurenz Wiskott) Date: Tue, 4 Jul 2006 15:02:59 +0200 Subject: Connectionists: CNS 2006 - Hippocampus Workshop in Edinburgh, July 19th Message-ID: <17578.26371.195316.445964@huxley.biologie.hu-berlin.de> ============================================================================== Functional Models of the Hippocampal Formation Edinburgh, UK, Wednesday July 19th, 2006 Workshop organized by Laurenz Wiskott at CNS 2006, Edinburgh, UK, July 16th - 20th ============================================================================== The detailed tentative program is available at http://itb.biologie.hu-berlin.de/~wiskott/CNS2006-HippocampusWorkshop.html. ------------------------------------------------------------------------------ Morning session 9-12 o'clock ---------------------------- Laurenz Wiskott "From slowness to place fields" Andr?s L?rincz "May the hippocampal formation break the curse of dimensionality?" William B. Levy "Dynamics and Randomization Drive CA3 Recoding for Sequence Learning and Prediction" Alessandro Treves "What is the advantage of differentiating CA1 from CA3?" ------------------------------------------------------------------------------ Afternoon session 14-17 o'clock ------------------------------- Szabolcs K?li "Radically different computational properties of the two main cortical inputs to area CA1 in single cells and networks" Roger Traub "Electrical coupling between principal cell axons: a source of very fast oscillations (>70 Hz), gamma oscillations (30-70 Hz), and beta2 oscillations (20-30 Hz)" M?t? Lengyel "Uncertainty, phase and oscillatory hippocampal recall" Final Discussion ============================================================================== From Bernard.Girau at loria.fr Wed Jul 5 10:48:45 2006 From: Bernard.Girau at loria.fr (Bernard Girau) Date: Wed, 05 Jul 2006 16:48:45 +0200 Subject: Connectionists: postdoctoral fellowship proposal Message-ID: <44ABD14D.7080800@loria.fr> A postdoctoral position is available at INRIA/Lorraine, Nancy, France. The deadline for submitting applications is very close: 14 of July 2006. ------------------------------------------------------------------------ ------- INRIA-LORRAINE INRIA 2006 POSTDOCTORAL FELLOWSHIP PROPOSAL ------------------------------------------------------------------------ ------- City : Nancy, France Title of Research Project: Data-structured connectionist models for visual and multimodal perception INRIA team in which the research would be effected: Cortex Fellowship supervisor: Bernard Girau, Assistant professor at University Nancy 2, Cortex project Description of Research: Our connectionist research group carries out numerous projects about the use of neural networks for autonomous systems (autonomous robotics, embedded processing of physiological signals, ... etc). These works take advantage of the elementary and massively distributed computations of connectionist models. They include for example perceptive pre-processing modules (vision, olfaction) or procedural control, that aim at interacting autonomously in a real-time and embedded way. The connectionist paradigm has to be the foundation of the autonomy of the processings we develop. Therefore their specific very fine-grain massive parallelism has to be fully exploited, where computation units take place in a very dense information stream. The organisation and the interpretation of such a stream is not a simple problem. To solve it, our research group takes advantage of two approaches, so as to study the connectionist models and algorithms from a functional point of view (bio-inspiration) as well as from a computational point of view (properties of the corresponding computation models). This subject follows both approaches. Standard connectionist models for visual perception usually consist of associated modules, each of them being retinotopically structured. In such models, images are the inputs of the first module or layer of neurons [1]. We study an alternate approach where the neural architecture mimics the natural structure of data (2-dimensional for visual perception), so that these data directly configure and parameterize the neural resources. In such an approach, the retinotopic organization of the connectionist model does not necessarily corresponds to the processing of visual inputs, while it was initially inspired by the structure that has been observed among the cortical columns of the visual areas. Previous works of our team have shown that complex connectionist models may be defined with a simple 2-dimensional architecture thanks to configurable local connections (FPNA paradigm) [2,3]. The goal of these post-doctoral researches is to propose methods to define data-configured maps of retinotopically organized local neural resources, so that a global functional behavior may emerge and characterize the processed image. These researches will be carried out with the help of the available works on FPNAs. Different aspects will be addressed, such as the comparison of this approach with emergent computations in bio-inspired models using excitatory-inhibitory interactions [4], as well as the study of the possible extensions of this approach in the field of multimodal perception. [1] C. Castellanos-Sanchez and B. Girau. Dynamic pursuit with a bio-inspired neural model. In ACIVS 2005, volume 3708 of LNCS, pages 284--291, 2005. [2] B. Girau. FPNA: Applications and implementations. In A. Omondi and J. Rajapakse, editors, FPGA Implementations of Neural Networks. Kluwer, 2004. [3] B. Girau. FPNA: Concepts and properties. In A. Omondi and J. Rajapakse, editors, FPGA Implementations of Neural Networks. Kluwer, 2004. [4] J. Vitay, N. Rougier and F. Alexandre. A distributed model of visual spatial attention. Biomimetic Neural Learning for Intelligent Robotics, 2005. Desired profile of candidat : We aim at recruiting a post-doctoral fellow having a strong background in connectionism, preferably applied to visual perception. This work would also take advantage of skills in software engineering (to integrate and widen FPNA simulation tools) and in computational modeling. Expected duration of fellowship: 12 months Contact: Bernard Girau E-mail : girau at loria.fr Tel : +33 3 83 59 20 58 From Bernard.Girau at loria.fr Wed Jul 5 11:49:22 2006 From: Bernard.Girau at loria.fr (Bernard Girau) Date: Wed, 05 Jul 2006 17:49:22 +0200 Subject: Connectionists: postdoctoral position, call for applications Message-ID: <44ABDF82.8020508@loria.fr> A postdoctoral position may be available at INRIA/Lorraine, Nancy, France. The deadline for submitting applications is very close: 14 of July 2006. ------------------------------------------------------------------------ ------- INRIA-LORRAINE INRIA 2006 POSTDOCTORAL FELLOWSHIP PROPOSAL ------------------------------------------------------------------------ ------- City : Nancy, France Title of Research Project: Feedback interactions for the visual perception of motion by neural networks INRIA team in which the research would be effected: Cortex Fellowship supervisor: Bernard Girau, Assistant professor at University Nancy 2, Cortex project Description of Research: Our connectionist research group carries out numerous projects about the use of neural networks for autonomous systems (autonomous robotics, embedded processing of physiological signals, ... etc). These works take advantage of the elementary and massively distributed computations of connectionist models. They include for example perceptive pre-processing modules (vision, olfaction) or procedural control, that aim at interacting autonomously in a real-time and embedded way. The connectionist paradigm has to be the foundation of the autonomy of the processings we develop. Therefore their specific very fine-grain massive parallelism has to be fully exploited, where computation units take place in a very dense information stream. The organisation and the interpretation of such a stream is not a simple problem. Therefore our research group takes advantage of neuro-physiological knowledge to define connectionist architectures that may perform particularly complex cognitive tasks. A PhD student of our team has developped a modular, highly local and distributed connectionist model for the visual perception of motion [1]. The structure of this model derives directly from the course of the optical flow in the human brain. It is mainly using a dense set of excitatory and inhibitory local lateral interactions. A first module performs a low-level spatio temporal filtering to detect speeds. A second module handles this information through an inhibition mechanism inspired by the organization of cortical area V1 as a set of orientation columns, so that more coherent motion areas are extracted. Finally, a last module focuses on a single moving object and it performs object tracking in natural image sequences [2]. This model offers promising results in real environments. Nevertheless, numerous improvements are required. The intermediate module (coherent motion areas extraction) currently stands as the most difficult aspect to handle, and its performance is still beyond our expectations. Moreover, our model is not able to extract egomotion from image sequences, nor to make object tracking specialize for predefined kinds of motion. Finally, numerous capacities of the focus attention module are not exploited, such as its ability to track several targets simultaneously or to change the tracked target on demand. These limits of our connectionist model for motion perception are currently mainly caused by a lack of modeling of an essential aspect in the neurophysiological pathway of visual signals: it should take into account the dense feedback interactions that exist between the involved cortical areas. The goal of this subject is to improve our connectionist model for motion perception thanks to the introduction of feedback interactions between the different modules. This work will take advantage of existing studies about such interactions in the human brain. The main part is the insertion of the information extracted by the focus attention module inside the excitatory/inhibitory mechanism that extracts coherent motion areas. Then this work will deal with the backpropagation of coherent area informations to the detectors of local motion, so as to improve the robustness of our model. [1] C. Castellanos-Sanchez and B. Girau. Dynamic pursuit with a bio-inspired neural model. In ACIVS 2005, volume 3708 of LNCS, pages 284--291, 2005. [2] J. Vitay, N. Rougier and F. Alexandre. A distributed model of visual spatial attention. Biomimetic Neural Learning for Intelligent Robotics, 2005. Desired profile of candidat : We aim at recruiting a post-doctoral fellow having a strong background in connectionism, preferably applied to visual perception. This work would also take advantage of skills in software engineering and in computational modeling. Expected duration of fellowship: 12 months Contact: Bernard Girau E-mail : girau at loria.fr Tel : +33 3 83 59 20 58 From mvanross at inf.ed.ac.uk Fri Jul 7 10:03:11 2006 From: mvanross at inf.ed.ac.uk (Mark van Rossum) Date: Fri, 7 Jul 2006 15:03:11 +0100 Subject: Connectionists: Postdoc on plasticity models, Edinburgh Message-ID: <200607071503.11551.mvanross@inf.ed.ac.uk> Postdoctoral Fellowship in Computational Neuroscience We invite applications for a 2.5 years HFSP funded postdoctoral fellowship to work on theoretical and computational models of plasticity. The subject is synaptic tagging and capture (Frey and Morris '97). The full project also involves 3 experimental labs (Haruhiko Bito in Tokyo, Tobias Bonhoeffer in Munich and Richard Morris in Edinburgh). Our part of the project aims to develop models for synaptic tagging both on a biophysical and computational level, and generate hypotheses for experiments. Applicants should have a strong background in mathematics, physics, computer science, or computational neuroscience and have a commitment to a future research career in neuroscience. The fellowship allows for top class research in a stimulating environment. Edinburgh is one of the leading centers in the UK for Comp Neuroscience. It provides a large, active community in computational neuroscience with strong links with the neuroscience research groups in Edinburgh and the project partners. Edinburgh has been voted as 'best place to live in Britain'. The expected starting data is Oct 1st, but could be adjusted to be later. To apply please send cover letter, CV, representative papers and 2 letters of recommendation to Pat Ferguson, Rm D10, 5 Forrest Hill, Edinburgh EH1 2QL, UK or email to pferguso at inf.ed.ac.uk with subject "hfsp". Inquiries can be addressed to Mark van Rossum, mvanross at inf.ed.ac.uk and during the upcoming CNS conference in Edinburgh. Weblinks: homepages.inf.ed.ac.uk/mvanross, www.anc.ed.ac.uk, www.anc.ed.ac.uk/neuroinformatics, From dbeeman at dogstar.colorado.edu Wed Jul 12 13:29:01 2006 From: dbeeman at dogstar.colorado.edu (Dave Beeman) Date: Wed, 12 Jul 2006 11:29:01 -0600 (MDT) Subject: Connectionists: Realistic Neural Modeling Tutorials available Message-ID: A new version of the GENESIS Neural Modeling Tutorials package is now available for viewing or downloading from the web site for the GENESIS neural simulator, http://www.genesis-sim.org/GENESIS/. These are an evolving package of HTML tutorials intended to teach the process of constructing biologically realistic neural models with the GENESIS simulator. The Introduction to Realistic Neural Modeling is a general overview and introduction to compartmental cell modeling and realistic network simulation for the beginner. Although examples are drawn from GENESIS simulations, the tutorial emphasizes the general modeling approach, rather than the details of using any particular simulator. The main tutorial of the package, the GENESIS Modeling Tutorial, is a multi-part tutorial on creating realistic cell and network models with GENESIS, and makes use of provided example simulation scripts to help the user quickly get to the stage of building large network models. The latest release of GENESIS (ver. 2.3, March 2006), is also available for download. The new version has a number of changes in the simulator source code to allow use on a greater variety of platforms, including Intel and AMD 64 bit processors, most varieties of Linux and UNIX, MacIntosh with OS/X, and Microsoft Windows with the Cygwin environment. It includes updated versions of Kinetikit (for modeling biochemical reactions) and the Purkinje cell tutorial, some new simulation objects and enhancements of existing ones, plus revised and updated documentation. The latest version of Parallel GENESIS (PGENESIS 2.3) is also available. PGENESIS is an extension to GENESIS for parallel hardware. It supports both running simulations of large networks on multiple processors, and running many simulations concurrently (e.g., for parameter searching). It should run on almost any parallel cluster, SMP, supercomputer, or network of workstations where MPI and/or PVM is supported, and on which serial GENESIS itself is runnable. ---------------------------------------------------------------------------- Prof. David Beeman, GENESIS Users Group - email: genesis at genesis-sim.org GENESIS WWW site: http://www.genesis-sim.org/GENESIS/ ---------------------------------------------------------------------------- From alaakso at indiana.edu Wed Jul 12 09:43:29 2006 From: alaakso at indiana.edu (Aarre Laakso) Date: Wed, 12 Jul 2006 09:43:29 -0400 Subject: Connectionists: CFP: Dynamics and Psychology Message-ID: <44B4FC81.9010808@indiana.edu> ************** APOLOGIES FOR MULTIPLE POSTINGS ******************* SECOND CALL FOR PAPERS *New Ideas in Psychology* Published by Elsevier Science B.V. ISSN 0732-118X, URL: A Special Issue on 'Dynamics and Psychology' GUEST EDITORS Paco Calvo (U. Murcia, Spain) Aarre Laakso (Indiana University, USA) Toni Gomila (U. Illes Balears, Spain) Paper Submission Deadline: September 30th, 2006 New Ideas in Psychology is calling papers for a special issue entitled 'Dynamics and Psychology'. The purpose of this special issue is to bring together some of the leading views on dynamicism as it relates to psychological phenomena. Although the primary focus is on conceptual ideas regarding the status of dynamicism from the standpoint of Developmental Psychology, Cognitive Science, Artificial Intelligence, Philosophy, and related fields, empirical work is also welcome insofar as it bears explicitly upon theoretical debate. New Ideas in Psychology invites original contributions for the forthcoming special issue on Dynamics and Psychology from a broad scope of areas. Some key research issues and topics relevant to this special issue include: *Brain and cognitive function *Categorical perception *Dynamic computer simulations *Dynamic field approach *Dynamic systems theory and developmental theory *Dynamics of control of processing *Dynamics of social interaction *Emergence *Intermodality *Language development *Mental representation *Motor development *Neurobiological constraints *Perceptual learning *Self-organization of behavior *Sensory-motor and perception-action loops *Temporality SUBMISSION INSTRUCTIONS AND DEADLINE Manuscripts, following the New Ideas in Psychology guidelines () should be emailed to Paco Calvo (fjcalvo at um.es) by September 30th, 2006. INVITED CONTRIBUTORS The special issue will include invited papers by: Dante Chialvo (Northwestern University Medical School, Chicago) Eliana Colunga (Colorado, Boulder) and Linda Smith (Indiana University) Rick Grush (UCSD) Aarre Laakso (Indiana University) John Spencer (University of Iowa) RELATED AND SAMPLE ARTICLES *Bechtel, W. (1998) "Representations and cognitive explanations: assessing the dynamicist's challenge in cognitive science", Cognitive Science, 22, 295-318. *Beer, R. D. (1995) "A dynamical systems perspective on agent-environment interaction", Artificial Intelligence, 72, 173-215. *Clark, A. (1997) "The dynamical challenge", Cognitive Science, 21, 461-481. *Erlhagen, W. & Sch?ner, G. (2002) "Dynamic field theory of movement preparation", Psychological Review, 109, 545-572. *Nu?ez, R. & Freeman, W.J. (1999) Reclaiming cognition: the primacy of action, intention and emotion. Imprint Academic. *Prinz, J. J., & Barsalou, L. W. (2000) "Steering a course for embodied representation", In E. Dietrich & A. B. *Markman (Eds.), Cognitive dynamics: Conceptual and representational change in humans and machines (pp. 51-77). Mahwah, NJ: Lawrence Erlbaum Associates. *Spencer, J.P. & Sch?ner, G. (2003) "Bridging the representational gap in the dynamic systems approach to development", Developmental Science, 6, 392-412. *Sporns, O., Chialvo, D., Kaiser, M. & Hilgetag, C. (2004) "Organization, development and function of complex brain networks", Trends in Cognitive Sciences, 9, 418-425. *Thelen, E., Sch?ner, G., Scheier, C. & Smith, L. (2001) "The dynamics of embodiment: A field theory of infant perseverative reaching", Behavioral and Brain Sciences, 24, 1-86. *Townsend, J. T., & Busemeyer, J. (1995) "Dynamic representation of decision making", In R. F. Port & T. Van Gelder (Eds.), Mind as motion. Cambridge, MA: MIT Press. *Turvey, M. T., & Carello, C. (1995) "Some dynamical themes in perception and action" In R. F. Port & T. Van *Gelder (Eds.), Mind as motion. Cambridge, MA: MIT Press. *van Gelder, T. (1998) "The dynamical hypothesis in Cognitive Science", Behavioral and Brain Sciences, 21, 615-665. GUEST EDITORS Paco Calvo Departamento de Filosof?a Universidad de Murcia E-30100 Murcia - SPAIN e-mail: fjcalvo at um.es Aarre Laakso Department of Psychology Indiana University 1101 East 10th Street Bloomington, IN 47405 e-mail: alaakso at indiana.edu Toni Gomila Department of Psychology University of the Balearic Islands E-07122 Palma de Mallorca - SPAIN e-mail: toni.gomila at uib.es From M.Casey at surrey.ac.uk Tue Jul 11 08:57:19 2006 From: M.Casey at surrey.ac.uk (M.Casey@surrey.ac.uk) Date: Tue, 11 Jul 2006 13:57:19 +0100 Subject: Connectionists: International Workshop on Biologically Inspired Information Fusion: Funding Available Message-ID: My apologies if you receive multiple copies of this e-mail. ======================================================================== ==================== International Workshop on Biologically Inspired Information Fusion Tuesday 22 August - Wednesday 23 August 2006, University of Surrey, Guildford, UK. http://www.soc.surrey.ac.uk/ias/workshops/biif/ ======================================================================== ==================== Confirmed tutorial guests include: Professor Barry Stein, Department of Neurobiology and Anatomy, Wake Forest University School of Medicine. Dr Gemma Calvert, Multisensory Research Group in the Department of Psychology, University of Bath. Dr Charles Spence, Department of Psychology, Oxford University. Dr Belur V. Dasarathy, Editor-in-Chief of the Elsevier Information Fusion journal. ======================================================================== ==================== Natural and Artificial Multi-sensory Processing The ability to process, interpret and act upon sensory information is perhaps one of the most remarkable aspects of human and animal cognition. Our sensory systems process large volumes of information at different scales in short periods of time, far out-performing current artificial systems, which struggle to usefully process just a single modality of information. For example, whereas speech recognition systems have achieved real-time continuous operation, artificial systems, designed for vision or olfaction are far less advanced, yet the combination of different information sources, or senses, may help overcome some of the processing limitations. This disparity between natural and artificial cognitive systems has been recognised in the recent UK Foresight Cognitive Systems Review, which suggests that our understanding of both natural and artificial systems of sensory processing can be achieved through collaboration between life and physical scientists. About the Workshop The workshop is sponsored by the EPSRC and the University of Surrey's Institute of Advanced Studies. The aim is to promote collaboration between disciplines to develop an understanding of how to build adaptive information fusion systems by improving our knowledge from both natural and artificial systems research. The programme is designed to facilitate a cross-discipline understanding of multi-sensory fusion, with discussions on key topics and future directions, and presentation of current ideas. This is to be achieved through tutorials from leaders in each of the target disciplines, brainstorming and debate sessions lead by relevant researchers, and presentations from research students. Abstracts and papers will be available to workshop attendees via the website and printed proceedings. After the workshop, participants will be invited to submit papers based upon their work to two journal special issues (journals to be confirmed). These will contain a mixture of review/discussion articles and presentations of current research work. ======================================================================== ==================== Funding There are a small number of funds available to support attendance at the workshop. Funding is being provided to cover workshop registration and accommodation (including dinner and breakfast) for two nights on campus (21st and 22nd). Funding is unfortunately not available for travel. Applicants seeking funding should submit a request to biif2006 at surrey.ac.uk by Wednesday 26th July. Priority will be given to students and/or workshop presenters. Students should submit evidence to support their status (such as e-mail confirmation from their supervisor). Funding has been provided by the EPSRC under grant number EP/E012795/1. Important Dates 26 July 2006 Deadline for funding applications 31 July 2006 Notification of funding allocation 22-23 August 2006 Workshop at the University of Surrey Further information can be obtained from: - Website: http://www.soc.surrey.ac.uk/ias/workshops/biif/ - Enquiries about funding: biif2006 at surrey.ac.uk - General and administrative enquiries: Mrs Gautier O'Shea, S.Gautier at surrey.ac.uk; Mrs Heather Norman, H.Norman at surrey.ac.uk - Dr Matthew Casey, M.Casey at surrey.ac.uk; tel. +44 (0)1483 689635 - Dr Paul Sowden, P.Sowden at surrey.ac.uk - Dr Hujun Yin, Hujun.Yin at manchester.ac.uk - Dr Tony Browne, A.Browne at surrey.ac.uk From y.demiris at imperial.ac.uk Mon Jul 17 16:42:56 2006 From: y.demiris at imperial.ac.uk (Yiannis Demiris) Date: Mon, 17 Jul 2006 21:42:56 +0100 Subject: Connectionists: Postdoctoral position, Learning for Multiagent control, Imperial College London In-Reply-To: Message-ID: Dear colleagues, a postdoctoral research position is available at our laboratory, for someone that has or is about to complete a PhD in a research area with strong mathematical and computational content. Experience with learning with graphical models, and/or control of multi-agent systems will be advantageous. More details below, or at: http://www.iis.ee.ic.ac.uk/yiannis/postdoc06a.html Please forward to people that might be interested, and excuse any duplicates you might receive. Regards, Yiannis -- Dr Yiannis Demiris, Lecturer, Intelligent Systems and Networks Group, Department of Electrical and Electronic Engineering, Imperial College London, South Kensington Campus, Exhibition Road, London, SW7 2BT, UK Tel: +44(0)2075946300, Fax: +44(0)2075946274 http://www.iis.ee.ic.ac.uk/yiannis ----------- POSTDOCTORAL RESEARCH POSITION, IMPERIAL COLLEGE LONDON Department of Electrical and Electronic Engineering, Intelligent Systems and Networks Group Salary: 22,870 - 26,830 UK Pounds per annum dependent on experience Fixed term appointment for two and a half years, commencing 1 October 2006 A Research Assistant/Associate Position is available, with a start date of 1st of October 2006 for 30 months, in the area of machine learning for decision support in controlling multi-agent systems, under the supervision of Dr Yiannis Demiris. The post requires that you have or are about to complete a PhD in an area with strong mathematical and computational content. Excellent programming skills are essential, while knowledge of machine learning algorithms, particularly involving graphical models, will be very advantageous. You will be working in close collaboration with an industrial partner to develop trainable intelligent mobile decision support systems, where experience of previous actions (inverse models) and tailored agent profiles (forward models) interact to support the decision making process. You will be developing and testing these ideas in simulators involving multiple agents (for example, multiple robots, or vehicles) with real word dynamics. How to apply: To apply, please send your completed application form (downloadable from http://www3.imperial.ac.uk/employment/applicationformacademic or obtainable from Ms Shahareen Hilmy), CV and a cover letter explaining your current interests and relevant background for this project to Ms Shahareen Hilmy, Department of Electrical and Electronic Engineering, Imperial College London, South Kensington campus, London SW7 2AZ, UK. We encourage application by e-mail, to s.hilmy at imperial.ac.uk, with a copy to y.demiris at imperial.ac.uk, to who informal enquiries about the position can also be addressed. Your CV should indicate two persons who can provide a reference. CLOSING DATE: 28 July 2006 From matthias.franz at tuebingen.mpg.de Tue Jul 18 08:59:35 2006 From: matthias.franz at tuebingen.mpg.de (Matthias Franz) Date: Tue, 18 Jul 2006 14:59:35 +0200 Subject: Connectionists: Research Position in Computer Vision and Machine Learning at the Max Planck Institute for Biological Cybernetics Message-ID: <44BCDB37.7010803@tuebingen.mpg.de> A research position in the field of computer vision is available in the Department for Empirical Inference of Prof. B. Sch?lkopf at the Max Planck Institute for Biological Cybernetics, T?bingen, Germany. The successful applicant will join the Computer Vision and Robotics Research Group and will be working on the European-funded project CLASS: Cognitive-level annotation using latent statistical structure. The focus on the project is to design and analyse novel machine-learning algorithms for the annotation of images and intelligent content analysis. CLASS project partners include Oxford, Grenoble, Leuven, and Helsinki. It is expected that the applicant will co-supervise two PhD students also working on CLASS, and be the main coordinator of CLASS-specific activities in the department. Applicants should hold a PhD and have experience in computer vision, machine learning and optimisation methods. Prior knowledge of modern machine learning techniques (in particular kernel methods, structured output learning, and/or probabilistic approaches) will be an advantage, a strong analytical background is a must. We are looking for a highly motivated and creative individual who enjoys working in an excellent research environment including adequate funding for equipment and conference travel. Conditions of Employment: The successful candidate will receive a salary according to the German civil service pay scale. Depending on qualifications, the position can either be BAT IIa (postdoc) or BAT Ib (roughly corresponding to a non-tenured research assistant professor). The Max Planck Society is an equal opportunity employer and is committed to employing more handicapped individuals and especially encourages them to apply. The Max Planck Society wishes to increase the proportion of women in areas in which they are underrepresented. Women are strongly encouraged to apply. The position is available until the end of 2008, at which point follow-up opportunities in our lab may be available. Formal applications should include a brief statement of research experience and interests, CV, as well as the contact details of two referees. Please send applications before September 1st, 2006 to: Prof. B. Sch?lkopf sekretariat-schoelkopf at tuebingen.mpg.de Max Planck Institute for Biological Cybernetics Spemannstr. 38 D-72076 T?bingen Germany From rao at cs.washington.edu Wed Jul 19 14:49:21 2006 From: rao at cs.washington.edu (Rajesh Rao) Date: Wed, 19 Jul 2006 11:49:21 -0700 Subject: Connectionists: Call for Workshop Proposals: NIPS 2006 Message-ID: <44BE7EB1.1080109@cs.washington.edu> CALL FOR WORKSHOP PROPOSALS Neural Information Processing Systems -- Natural and Synthetic NIPS 2006 Post-Conference Workshops -- December 8 and 9, 2006 Whistler Resort & Spa and the Whistler Hilton Resort & Spa, BC, CANADA http://www.nips.cc/ Workshop Proposal Deadline: August 4, 2006 Following the Neural Information Processing Systems 2006 Conference in Vancouver, BC, Canada, workshops on a variety of current topics in neural information processing will be held on December 8 and 9, 2006, in Whistler, BC, Canada. We invite researchers interested in chairing one of these workshops to submit proposals for workshops. The goal of the workshops is to provide an informal forum for researchers to discuss important research questions and challenges. Controversial issues, open problems, and comparisons of competing approaches are not only encouraged but preferred as workshop topics. Representation of alternative viewpoints and panel-style discussions are also particularly encouraged. Workshop topics include, but are not limited to: Active Learning, Attention, Audition, Bayesian Networks, Bayesian Statistics, Benchmarking, Biophysics, Brain-Machine Interfaces, Brain Imaging, Cognitive Neuroscience, Computational Biology and Bioinformatics, Computational Complexity, Control, Genetic/Evolutionary Algorithms, Graphical Models, Hippocampus and Memory, Human-Computer Interfaces, Implementations, Independent Component Analysis, Kernel Methods, Mean-Field Methods, Music, Network Dynamics, Neural Coding, Neural Plasticity, Neuromorphic Systems, On-Line Learning, Optimization, Robotics, Rule Extraction, Self-Organization, Signal Processing, Spike Timing, Speech, Supervised/Unsupervised Learning, Time Series, Topological Maps, and Vision. This year, we are especially interested in workshops on cutting-edge research in Neuroscience. There will be six hours of workshop meetings per day, split into morning and afternoon sessions, with free time between the sessions for ongoing individual exchange or outdoor activities. Selected workshops may be invited to submit proceedings for publication in the post-NIPS workshops monographs series published by the MIT Press. Workshop organizers have several responsibilities, including: * Coordinating workshop participation and content, including arranging short informal presentations by experts, arranging for expert commentators to sit on discussion panels, formulating discussion topics, etc. * Moderating the discussion, and reporting its findings and conclusions to the group during the evening plenary sessions. * Writing a brief summary and/or coordinating submitted material for post-conference electronic dissemination. Submission Instructions Interested parties must submit a proposal for a workshop via email by August 4, 2006. Proposals should include a title, description of what the workshop is to address and accomplish, proposed workshop length (1 or 2 days), planned format (e.g., lectures, group discussions, panel discussion, combinations of the above, etc.), and proposed speakers. Names of potential invitees should be given where possible. Preference will be given to workshops that reserve a significant portion of time for open discussion or panel discussion, as opposed to a pure "mini-conference" format. An example format is: * Tutorial lecture providing background and introducing terminology relevant to the topic. * Discussion or panel presentation. * Short talks or panels alternating with discussion and question/answer sessions. * General discussion and wrap-up. We suggest that organizers allocate at least 50% of the workshop schedule to questions, discussion, and breaks. Past experience suggests that workshops otherwise degrade into mini-conferences as talks begin to run over. For the same reason, we strongly recommend that each workshop include no more than 12 talks per day. The proposal should motivate why the topic is of interest, why it should be discussed, and the targeted group of participants. It should include a brief r??sum?? of the prospective workshop chair with a list of publications to establish scholarship in the field. We encourage workshops that build, continue, or arise from one or more workshops from previous years. Please mention any such connections. Detailed descriptions of previous workshops may be found at: http://www.nips.cc/Conferences/2005/ NIPS does not provide travel funding for workshop speakers. In the past, some workshops have sought and received funding from external sources to bring in outside speakers. In any case, the organizers of each accepted workshop can name two individuals to receive free registration for the workshop program. Proposals should be emailed as plain text to: nips-workshops at cc.gatech.edu (please do not use attachments, Word, postscript, html, or pdf files) by August 4, 2006. Submissions should include the name, address, email address, phone and fax numbers for all organizers. If there is more than one organizer, please designate one organizer as the primary contact. Charles Isbell, Georgia Institute of Technology Rajesh Rao, University of Washington NIPS 2006 Workshops Co-Chairs From cjs at ecs.soton.ac.uk Mon Jul 17 07:17:23 2006 From: cjs at ecs.soton.ac.uk (Craig Saunders) Date: Mon, 17 Jul 2006 12:17:23 +0100 Subject: Connectionists: Chair in ISIS Group, University of Southampton Message-ID: <200607171117.k6HBHNvf003439@goose.ecs.soton.ac.uk> Chair in Information: Signals, Images, Systems Electronics & Computer Science Applications are invited for a Chair in Information: Signals, Images, Systems in the School of Electronics and Computer Science at the University of Southampton. The School is the largest of its kind in the UK and it was awarded the top grades (5*/5*) for its research in Electronics, Electrical Engineering and Computer Science in the 2001 Research Assessment Exercise. In teaching the School has been awarded the highest grades possible by the Quality Assurance Agency for Higher Education. The chair will be in the Information: Signals, Images, Systems (ISIS) Research Group which currently has twelve academic staff including five Professors and major established research programmes in Machine Learning, Computational Learning Theory and Applications, Control Theory and Applications, Biometrics, Computer Vision, and Speech Technology. This appointment will extend and enhance the research profile of the group through personal and collaborative research. We seek applicants with proven qualities of academic leadership, international reputation, and a verifiable track record of research fully commensurate with the School's 5* ratings. We solicit applications from outstanding individuals with research interests to complement the ISIS research profile. Information about the School can be found at http://www.ecs.soton.ac.uk/ and on the ISIS website at http://www.isis.ecs.soton.ac.uk/. Informal enquiries can be made in the first instance to Professor David Nunn dn at ecs.soton.ac.uk For a CV Application Cover Sheet and further particulars visit: www.jobs.soton.ac.uk (specifically: http://www.jobs.soton.ac.uk/adminweb/jsp/jobs/sJobview.jsp?function=View&id= 05P0959) email: recruit at soton.ac.uk Tel: 023 8059 2750 (minicom: 023 8059 5595). Completed applications should be returned no later than 17 August 2006. Please quote reference number 05P959. From david.barber at idiap.ch Fri Jul 14 13:39:18 2006 From: david.barber at idiap.ch (David Barber) Date: Fri, 14 Jul 2006 19:39:18 +0200 Subject: Connectionists: Extended Deadline : Call for Participation and Presentations : IDIAP 15th Anniversary Workshop Message-ID: <00d101c6a76c$6f6e1630$badd21c0@davidbarber> Due to many requests, the deadline for talk submissions to the IDIAP 15th Anniversary workshop has been extended : EXTENDED DEADLINE for submission of talk proposals : July 25th. The original call is reposted below. David Barber ************************************************************************************** Call for Participation and Presentations: IDIAP 15th Anniversary Workshop 12-13 September, 2006 http://www.idiap.ch/ws15/ IDIAP Research Institute, Martigny, Switzerland Abstract Submission Deadline : July 11, 2006 ************************************************************************************** Workshop Description : IDIAP is leading Swiss research institute dedicated to the study of human-machine interaction, with strong activity in speech processing, machine learning, multimodal interaction, brain computer interfaces, computer vision and information retrieval. As part of IDIAP's 15th Anniversary, the workshop will provide an informal setting within which to discuss and interact, taking place in the beautiful setting of Martigny in the Swiss Alps. The two day workshop will cover four key areas: * Machine Learning * Speech Processing * Computer Vision * Information Retrieval The last 15 years has brought a maturation in these fields, leading to many theoretical and practical advances. The statistical paradigm has been prevalent in recent years, leading to a common framework within which many of the techniques applied in these different areas may be related. Whilst, therefore, a stronger understanding of the commonality of techniques now exists, each field requires specific insights for the continued and successful development toward solving substantial real-world applications. The workshop will address these areas from the viewpoint of key progress made, current techniques and applications, and will discuss future prospects in these ever growing and exciting fields. The scope of the workshop is broad, with the desire to encourage interaction between researchers from these diverse areas. Of particular interest are key technical developments, and the highlighting of current difficulties preventing their further application to substantial real-world problems. ************************************************************************************** Invited speakers : Chris Bishop (Assistant Director Microsoft Research, Cambridge, UK) Nelson Morgan (Director International Computer Science Institute, Berkeley, USA) Thomas Hofmann (Director IPSI Fraunhofer and Darmstadt University of Technology, Germany) Patrick Perez (Irisa/Inria-Rennes, France.) ************************************************************************************** Call for Presentations : We invite talks from students and researchers in any of the above fields, addressing either a theoretical or application issue. Talks which discuss technical developments are welcome, particularly those which address key stumbling blocks in the application of theory to substantial real-world problems. The talks are to be 15 minutes + 5 minutes questions. Please see http://www.idiap.ch/ws15/ for submission of abstracts of presentations. * Deadline for abstract submission is 11:59pm (GMT) Tuesday July 25, 2006. *** NOTE NEW DEADLINE * Decisions will be emailed on or before July 28. ************************************************************************************** Registration for the workshop is free, but limited to 150 participants. ************************************************************************************** Travel Grants : A small number of travel grants (limited to CHF 500 each) are available. Please see http://www.idiap.ch/ws15/ for details of how to apply. ************************************************************************************** Organizers: David Barber (IDIAP) Herve Bourlard (IDIAP) From Lakhmi.Jain at unisa.edu.au Tue Jul 18 23:57:03 2006 From: Lakhmi.Jain at unisa.edu.au (Lakhmi Jain) Date: Wed, 19 Jul 2006 13:27:03 +0930 Subject: Connectionists: Springer Book Series: Advanced Information and Knowledge Processing (AI & KP) Message-ID: <125E143C87C9D744AD879C611475D03508841E8C@ITUPROD-EXCL1.UniNet.unisa.edu.au> Dear Colleagues, I believe that the books in the "Springer AI&KP" series will be of interest to the Connectionists Community. (apologies for multiple copies). =================================================================== Springer Book Series: Advanced Information and Knowledge Processing (AI & KP) (Text books, monograms, edited books, handbooks, etc.) http://www.springeronline.com/series/4738 Lakhmi.jain at unisa.edu.au xwu at cem.uvm.edu The series publishes books on new designs and applications of advanced information and knowledge processing paradigms in areas such as business, defense, education, engineering, health, management, and science. Areas covered include sample applications like artificial life-based systems, biometrical authentication, negotiating e-commerce systems, information evaluation, information fusion, knowledge-based software engineering, machine intelligence, ontologies, tutoring systems, virtual reality, and many more. Books in the series have a strong focus on information processing - combined with, or extended by, new results from adjacent sciences. ======================================================= Books: * Data Complexity in Pattern Recognition, Basu, M., Ho, T.K. (Eds.), Springer-Verlag, London. * Knowledge Asset Management, Mentzas, G., et al., Springer-Verlag, London. * Uncertainty Handling and Quality Assessment in Data Mining, Vazirgiannis, M., et al., Springer-Verlag, London. * Ontological Engineering, Gomez-Perez, et al., Springer-Verlag, London. * Evolutionary Multiobjective Optimization, Abraham, A., et al.(editors), Springer-Verlag, London, 2005 * Advanced Techniques in Knowledge Discovery and Data Mining, Pal, N., Springer-Verlag, London, 2005 * Environmental Online Communication, Scharl, A., Springer-Verlag, London * Knowledge Discovery in Multiple Databases, Zhang, S., et. al. Springer-Verlag, London. * Data Mining in Bioinformatics, Wang, J.T.L.(Editors), Springer-Verlag, London. * Creating Web-based Laboratories, Ko, C.C., et al., Springer-Verlag, London. * Information Processing with Evolutionary Algorithms, Grana, M., et al.(Editors), Springer-Verlag, London. * Hebbian Learning and Negative Feedback Networks, Fyfe, C., Springer-Verlag, London. * Automatic Business Modelling, Chen-Burger, Y. and Robertson, D., Springer-Verlag, London. * Probabilistic Modelling in Bioinformatics and Medical Informatics, Husmeier, D., et.al. (Editors), Springer-Verlag, London. * Multiobjective Evolutionary Algorithms and Applications, Tan, K.C. et al., Springer-Verlag, London. * Advanced Methods for Knowledge Discovery from Complex Data, Bandyopadhyay, S.,et. al. (Editors), Springer-Verlag, London. * Optimized Bayesian Dynamic Advising, Karny, M.(Editor), Springer-Verlag, London. * Cognitive Engineering, Konar, A, et al. Springer-Verlag, London. * Grey Information: Theory and Practical Applications, Liu, S. and Lin, Y., Springer-Verlag, London. * Machine Learning and Data Mining for Computer Security, Maloof, M.A. (Editor), Springer-Verlag, London. * R-Trees: Theory and Applications, Manolopoulos, Y., et al., Springer-Verlag, London. * Knowledge Asset Management, Mentzas, G., et al., Springer-Verlag, London. * Information Sharing on the Semantic Web, Stuckenschmidt,H. and Harmelen, F.V., Springer-Verlag, London. * Uncertainty Handling and Quality Assessment in Dara Mining, Vazirgiannis, M. et al., Springer-Verlag, London * Data Mining with Computational Intelligence, Wang, L. and Fu, X., Springer-Verlag, London. From pascal.fua at epfl.ch Mon Jul 17 07:53:15 2006 From: pascal.fua at epfl.ch (Pascal Fua) Date: Mon, 17 Jul 2006 13:53:15 +0200 Subject: Connectionists: Post-doctoral position, Computer Vision Lab, EPFL, Lausanne, Switzerland Message-ID: <44BB7A2B.8020404@epfl.ch> Hello, Could you please post the following job advertisement on your mailing list? Thanks in advance Pascal Post-doctoral position, Computer Vision Lab, EPFL, Lausanne, Switzerland A one year, renewable for up to 4 years, post-doctoral position is available at EPFL?s Computer Vision Laboratory, Lausanne, Switzerland. Our laboratory (http://cvlab.epfl.ch/) focuses on object detection, 3D shape reconstruction, and human body modeling from video sequences. We provide unique expertise in combining geometric and statistical learning techniques in a friendly environment. Applicants are expected to have finished, or about to finish their Ph.D. degrees, have strong mathematical background, have a track record of publications in top computer vision conferences and journals, and have strong programming skills. Possible topics include 3D detection of object classes, vision for Augmented Reality, human body pose detection. A suitable project will be chosen depending on the interests of the candidate. EPFL is located next to Lake Geneva in a beautiful setting 60 kilometers away from the city of Geneva. Post-doctoral salaries are in the range CHF 70000 to 80000. Interested applicants should send a resume to Pascal Fua (pascal.fua at epfl.ch) and Vincent Lepetit (vincent.lepetit at epfl.ch), including a list of publications and the names of two or three people that can be contacted to obtain references. -- -------------------------------------------------------------------- Prof. P. Fua (Pascal.Fua at epfl.ch) Tel: 41/21-693-7519 FAX: 41/21-693-7520 Url: http://cvlab.epfl.ch/~fua/ -------------------------------------------------------------------- From py at csl.sony.fr Mon Jul 17 11:40:14 2006 From: py at csl.sony.fr (Pierre-Yves Oudeyer) Date: Mon, 17 Jul 2006 17:40:14 +0200 Subject: Connectionists: =?iso-8859-1?q?Call_for_Registration=3A_Epigeneti?= =?iso-8859-1?q?c_Robotics_2006=2C_20-22_September_2006=2C_Paris=2C_France?= =?iso-8859-1?q?=09Sixth_International_Conference_on_Epigenetic_Robotics?= =?iso-8859-1?q?=3A=09Modeling_Cognitive_Development_in_Robotic_Systems=09?= =?iso-8859-1?q?website=3A_http=3A//www=2Eepigenetic-robotics=2Eorg=09cont?= =?iso-8859-1?q?act_information=3A_epirob06=40csl=2Esony=2Efr=09=09Locatio?= =?iso-8859-1?q?n=3A_Hopital_de_la_Salp=EAtri=E8re=2C_Paris=2C_France=09?= =?iso-8859-1?q?=09REGISTRATION_IS_NOW_OPEN_on_http=3A//www=2Ecsl=2Esony?= =?iso-8859-1?q?=2Efr/epirob2006/registration=2Ehtm=09=09early_registratio?= 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=?iso-8859-1?q?_and_morphological_development=3B=09=09Tutorials=09=09=09T?= =?iso-8859-1?q?wo_tutorials_will_be_organized_during_the_conference=09=09?= =?iso-8859-1?q?-_=22Featural_processing_of_auditory_and_visual_inputs_for?= =?iso-8859-1?q?_epigenetic_robots_=22=09Christian_Balkenius_=26_Christoph?= =?iso-8859-1?q?er_G=2E_Prince=09=09-_=22Development_of_imitation_and_emot?= =?iso-8859-1?q?ion_in_human_and_robots=3A_cross_fertilization_of_research?= =?iso-8859-1?q?=22=09Organized_by_Philippe_Gaussier_and_Jacqueline_Nadel?= =?iso-8859-1?q?=09=09=09=09=09=09=09Call_for_Registration=3A_6th_Internat?= =?iso-8859-1?q?ional_Conference_on_Epigenetic_Robotics?= Message-ID: <44BBAF5E.7040608@csl.sony.fr> Call for Registration: Epigenetic Robotics 2006, 20-22 September 2006, Paris, France Sixth International Conference on Epigenetic Robotics: Modeling Cognitive Development in Robotic Systems website: http://www.epigenetic-robotics.org contact information: epirob06 at csl.sony.fr Location: Hopital de la Salp?tri?re, Paris, France REGISTRATION IS NOW OPEN on http://www.csl.sony.fr/epirob2006/registration.htm early registration fees are available until July, 31 Confirmed invited speakers 2006 Karen Adolph (Psychology Dpt, New York University, USA) Andrew Barto (Computer Science Dpt, University of Massachusetts Amherst, USA) Philippe Rochat (Psychology Dpt, University of Emory, USA) Gregor Schoener (Institut f?r Neuroinformatik, Ruhr-Universit?t-Bochum, Germany) Bruno Wicker (Institut de Neurosciences Cognitives de la Mediterran?e, France) Conference Themes In the past 5 years, the Epigenetic Robotics annual workshop has established itself as a unique place where original research combining developmental sciences, neuroscience, biology, and cognitive robotics and artificial intelligence is being presented. Epigenetic systems, either natural or artificial, share a prolonged developmental process through which varied and complex cognitive and perceptual structures emerge as a result of the interaction of an embodied system with a physical and social environment. Epigenetic robotics includes the two-fold goal of understanding biological systems by the interdisciplinary integration between social and engineering sciences and, simultaneously, that of enabling robots and artificial systems to develop skills for any particular environment instead of programming them for solving particular goals for the environment in which they happen to reside. Psychological theory and empirical evidence is being used to inform epigenetic robotic models, and these models should be used as theoretical tools to make experimental predictions in developmental psychology. This year we particularly encourage research resulting from actual interdisciplinary collaboration. Epigenetic Robotics themes include, but are not limited to: * The development of: emotion, imitation, synchrony processing, intersubjectivity, joint attention, intentionality, non-verbal and verbal communication, sensorimotor schemata, shared meaning and symbolic reference, social learning, social relationships, social cognition ("mind reading", "theory of mind"); * The scope and limits of maturation, the mechanisms of open-ended development; * The mechanisms of stage formation and stage transitions; * The epistemological foundations of using robots to study development; * The role of motivations, emotions, and value systems in development; * Interaction between innate structure, ongoing developing structure, and experience; * The interplay between embodiment, learning biases and environment; * The differences between learning and development; * Algorithms for self-supervision, autonomous exploration, representation making, and methods for evolving new representations during ontogeny; * Robots that can undergo morphological changes and how they can be used to study the interplay between cognitive and morphological development; Tutorials Two tutorials will be organized during the conference - "Featural processing of auditory and visual inputs for epigenetic robots " Christian Balkenius & Christopher G. Prince - "Development of imitation and emotion in human and robots: cross fertilization of research" Organized by Philippe Gaussier and Jacqueline Nadel From ted.carnevale at yale.edu Wed Jul 19 17:15:31 2006 From: ted.carnevale at yale.edu (Ted Carnevale) Date: Wed, 19 Jul 2006 17:15:31 -0400 Subject: Connectionists: NEURON course at 2006 SFN meeting Message-ID: <44BEA0F3.3080307@yale.edu> Short Course Announcement USING THE NEURON SIMULATION ENVIRONMENT Satellite Symposium, Society for Neuroscience Meeting 9 AM - 5 PM on Friday, Oct. 13, 2006 Speakers to include M.L. Hines and N.T. Carnevale NEURON is a powerful and convenient simulator that handles realistic models of biophysical mechanisms, individual neurons, and networks of cells, and runs under MSWindows, OS X, and UNIX/Linux. This one day course will present information essential for research and teaching applications of NEURON. The emphasis is on practical issues that are key to its most productive use. Topics that will be covered include: constructing and managing models of cells and networks parallelizing network models expanding NEURON's repertoire of biophysical mechanisms database resources for empirically-based modeling Each registrant will a comprehensive set of notes. Registration is limited to 40 individuals on a first-come, first serve basis. Registration deadline is Friday, September 29, 2006. For more information see http://www.neuron.yale.edu/neuron/at2006.html --Ted Carnevale From psollich at mth.kcl.ac.uk Thu Jul 20 08:03:13 2006 From: psollich at mth.kcl.ac.uk (psollich@mth.kcl.ac.uk) Date: Thu, 20 Jul 2006 13:03:13 +0100 (BST) Subject: Connectionists: Permanent Lectureship in Disordered Systems at King's College London Message-ID: Dear colleagues - We have an opening for a permanent lectureship in the Disordered Systems group at King's College London, to be filled in Jan 2007 or as soon as possible thereafter. I attach the outline advert below and would be grateful if you could bring this opportunity to the attention of any suitable candidates with interests in e.g. machine learning, statistical inference and statistical mechanics or related areas as detailed below. The full details and application pack can be downloaded from http://www.mth.kcl.ac.uk/research/dsnn/LectureshipDisorderedSystems.doc The closing date for applications is 25 August 2006 so applications should be submitted as soon as possible. Many thanks in advance - Peter -------------------------------------------------------------------------- Prof. Peter Sollich Department of Mathematics Phone: +44 - (0)20 - 7848 2875 King's College Fax: +44 - (0)20 - 7848 2017 University of London E-mail: peter.sollich at kcl.ac.uk Strand WWW: http://www.mth.kcl.ac.uk/~psollich London WC2R 2LS, U.K. -------------------------------------------------------------------------- LOOK: Update to email address above; old address psollich at mth.kcl is defunct. Applications are invited for a Lectureship in Complex and Disordered Systems, in the Disordered Systems group of the Department of Mathematics, to be taken up with effect from January 2007 or as soon as possible thereafter. The successful candidate will expand and enhance the research spectrum of the Disordered Systems group. In particular we are looking for a candidate whose research expertise falls within the statistical mechanics of disordered and complex systems (equilibrium and non-equilibrium), and its applications to e.g. glassy physics (structural, spin and quantum glasses), soft condensed matter (polymers, glassy rheology, polydispersity), complex networks, proteins and their interactions, biophysics, econophysics, machine learning, or statistical inference. The successful candidate will be expected to contribute to the teaching of the interdisciplinary MSc course in Information Processing and Neural Networks, and to other applied mathematics courses. We are looking for candidates with a proven research track record appropriate for appointment to the above post. Applicants will be expected to hold a PhD in Applied Mathematics or Theoretical Physics and have postdoctoral experience in the statistical mechanics of complex and disordered systems. They will have demonstrated, through published work in highly rated and high-calibre journals, the potential to develop an international reputation in their research areas. They will preferably have worked with research students and have some experience of teaching in a university environment. From terry at salk.edu Thu Jul 20 13:09:46 2006 From: terry at salk.edu (Terry Sejnowski) Date: Thu, 20 Jul 2006 10:09:46 -0700 Subject: Connectionists: NEURAL COMPUTATION August, 2006 In-Reply-To: Message-ID: Neural Computation - Contents - Volume 18, Number 8 - August 1, 2006 Article Multivariate Information Bottleneck Naftali Tishby, Noam Slonim, and Nir Friedman Letter Variational Bayesian Multinomial Probit Regression with Gaussian Process Priors Mark Girolami and Simon Rogers A Novel Neural Network for a Class of Convex Quadratic Minimax Problems Xing-Bao Gao and Li-Zhi Liao Dynamic Gain Changes During Attentional Modulation Arun P. Sripati and Kenneth O. Johnson On the Analysis and Interpretation of Inhomogenous Quadratic Forms as Receptive Fields Pierto Berkes and Laurenz Wiskott Comment on: Characterization of Subthreshold Voltage Fluctuations in Neuronal Membranes by M. Rudolph, A. Destexhe, Benjamin Lindner and Andre Longtin Kernel Projection Classifier with Suppressing Features of Other Classes Yoshikazu Washizawa and Yukihiko Yamashita Implications of Neuronal Diversity on Population Coding Maoz Shamir and Haim Sompolinsky A Neighborhood-based Enhancement of the Gauss-Newton Bayesian Regularization Training Method Miguel Pinzolas, Ana Toledo and Juan Luis Pedreno Exact Simulation of Integrate-and-Fire Models with Synaptic Conductances Romain Brette ----- ON-LINE - http://neco.mitpress.org/ SUBSCRIPTIONS - 2006 - VOLUME 18 - 12 ISSUES Electronic only USA Canada* Others USA Canada* Student/Retired $60 $64.20 $114 $54 $57.78 Individual $100 $107.00 $154 $90 $96.30 Institution $730 $781.10 $784 $657 $702.99 * includes 7% GST MIT Press Journals, 5 Cambridge Center, Cambridge, MA 02142-9902. Tel: (617) 253-2889 FAX: (617) 577-1545 journals-orders at mit.edu ----- From p.husbands at sussex.ac.uk Fri Jul 21 06:19:37 2006 From: p.husbands at sussex.ac.uk (Phil Husbands) Date: Fri, 21 Jul 2006 11:19:37 +0100 Subject: Connectionists: 2 RCUK fellowships at Sussex University Message-ID: <4311093.1153480777@[192.168.123.101]> 2x RCUK Academic Fellowships in Centre for Computational Neuroscience and Robotics (Fixed term to permanent) JOB REF: 422 Department of Biology & Environmental Science and Department of Informatics, University of Sussex Fixed Term for 5 years leading to a permanent post. We seek to appoint two outstanding Academic Fellows under the RCUK scheme to work in the Centre for Computational Neuroscience and Robotics Neuroscience (www.informatics.sussex.ac.uk/ccnr/), a leading interdisciplinary research centre run jointly by the Neuroscience research group within the Department of Biology and Environmental Science and the Evolutionary and Adaptive Systems group in the Department of Informatics. The Fellows will contribute to one or more of the CCNR's areas of research which include computational neuroscience, sensory and motor systems, MEA interfacing to cultured neural networks, insect and robot navigation, biologically inspired adaptive robotics, complex adaptive systems and computational biology. We are looking for scientists who can show evidence of independent research of international standing as well as promise as excellent communicators of science. Both fellowships will be joint appointments in the Department of Biology and Environmental Science and the Department of Informatics. Although we seek two individuals with strong multidisciplinary interests, one may be more biased towards the biological sciences and the other towards the computational. The RCUK fellowship scheme (www.rcuk.ac.uk/acfellow/) is designed to give researchers on fellowships or grant funding a stable route into academia. Those who already hold or are promised a permanent position in a University are not eligible. The University has a commitment to provide a permanent position as a member of teaching faculty at the end of the 5-year fellowship, subject to the satisfactory completion of the probation period. Salary will depend on skills and experience. For an informal discussion about this post, please contact Prof Phil Husbands (philh at sussex.ac.uk) or Prof Michael O'Shea (M.O-Shea at sussex.ac.uk) For further details and application process (application form + CV + covering letter) see Closing date: 17 August 2006. From rdbeer at indiana.edu Fri Jul 21 15:11:05 2006 From: rdbeer at indiana.edu (Randall Beer) Date: Fri, 21 Jul 2006 15:11:05 -0400 Subject: Connectionists: Indiana University Cognitive Science Position Message-ID: <41EEAE40-5D20-44EA-9FB4-DF6AF904E91E@indiana.edu> Indiana University, Bloomington, Indiana. Faculty position beginning Fall, 2007 As part of a series of new appointments, the Cognitive Science Program at Indiana University seeks a junior level appointment in the general area of intersection of cognitive science and robotics. Applicants with expertise in any aspect of embodied cognitive science are welcome, but we are particularly interested in those with expertise in evolutionary robotics and/or dynamical approaches to cognition. Applicants should have a record that demonstrates an excellent potential in the areas of research and teaching. Successful applicants will take a leadership role in the ongoing development of a new, state-of-the-art robotics laboratory for teaching and research. Indiana University is an equal opportunity/affirmative action employer. Applications from women and minority group members are especially encouraged. Applicants should send full dossiers, including three letters of recommendation. As far as possible, e-mail all materials (ideally in PDF format) to cogsrch at indiana.edu. Materials may also be mailed to Professor Randall Beer, Robotics Search Committee, Cognitive Science Program, Eigenmann 819, 1910 E. 10th St., Bloomington, IN 47406-7512. Applications received by November 1, 2006 are assured full consideration. From adr at adrlab.ahc.umn.edu Fri Jul 21 15:11:04 2006 From: adr at adrlab.ahc.umn.edu (A David Redish) Date: Fri, 21 Jul 2006 14:11:04 -0500 Subject: Connectionists: Announcement: The Adaptive Brain Symposium at the University of Minnesota Message-ID: <200607211911.k6LJB4l7025836@adrlab.ahc.umn.edu> Mime-Version: 1.0 Content-Type: multipart/mixed; boundary="++----------20060721141025-112632577----------++" Content-Transfer-Encoding: 7bit X-Mailer: Emacs 21.3.1 with etach 1.2.0 Reply-to: redish at ahc.umn.edu ---------------- This is a multi-part message in MIME format. --++----------20060721141025-112632577----------++ Content-Type: text/plain; charset=us-ascii Content-Transfer-Encoding: 7bit Please post: We would like to announce an upcoming Presidential Symposium on Neuroscience at the University of Minnesota titled The Adaptive Brain The symposium is sponsored by the University of Minnesota and is taking place on the Twin Cities Campus in Minneapolis on Thursday and Friday, September 14th and 15th of 2006 (please find a pdf file of the Poster announcing the event attached to this email). The Symposium will present the research of twelve world-renowned neuroscientists whose work has advanced our understanding of the variety of adaptive mechanisms operating to couple the structure and function of the nervous system to environmental change. Topics addressed will span molecular, developmental, cellular, systems, behavioral and cognitive neuroscience to explore principles relevant to multiple levels of analysis. (Note: Registration is required.) The speakers include: . David Anderson - Molecular Genetic Analysis of Neural Circuits for Innate Behaviors in Flies and Mice (California Institute of Technology) . Karen Hsiao Ashe - Molecular mechanisms of memory loss in Alzheimer mouse models (University of Minnesota ) . Apostolos Georgopoulos -Neural Mechanisms of Spatial Cognitive Processes (University of Minnesota) . Jim Hudspeth - Making an effort to listen: mechanical amplification by myosin molecules and ion channels in hair cells of the inner ear (Rockefeller University) . Mark Konishi - From instinct to brain (California Institute of Technology) . Paul LeTourneau - Axonal growth and guidance (University of Minnesota) . Robert Malenka - TBA (Stanford University) . Eve Marder - Variability, Compensation, and Homeostasis in Neuronal Networks (Brandeis University) . Eric Nestler - Molecular Mechanisms of Drug Addiction (University of Texas, Southwestern) . William Newsom - Perception, Decisions and Reward: Toward a Biological Understanding of Decision-Making (Stanford University) . Wolfram Schultz - Reward, predictions, learning and uncertainty (University of Cambridge ) . Li-Huei Tsai - Recovery of lost memories in a mouse model of severe neurodegeneration (Massachusetts Institute of Technology) WHERE: McNamara Alumni Center 200 Oak Street S.E. Minneapolis, MN 55455 WHEN: Thursday September 14, 2006; 8:15am - 6pm Friday September 15, 2006; 8:30am - 4pm REGISTRATION: Now through Aug. 15, online at http://www.brainsymposium.umn.edu Each registrant will be eligible to submit an abstract of 300 words or less of their research to be presented at a poster session on September 14th. Abstract submission is online via the website at the above address. Tour of labs at the University of Minnesota for interested registrants will be conducted on the afternoon of Wednesday September 13th. For additional information regarding the agenda, speakers, location and accommodations, please visit the website for the event (at http://www.brainsymposium.umn.edu) We would very much appreciate it if you could forward this email to any other potentially interested faculty or students in your department. Thank you for your attention to this announcement, and hope you can join us. 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AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAFAFMAdQBtAG0AYQByAHkASQBuAGYA bwByAG0AYQB0AGkAbwBuAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAKAACAf////////////// /wAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAC8AAAAAEAAAAAAAAAUARABvAGMA dQBtAGUAbgB0AFMAdQBtAG0AYQByAHkASQBuAGYAbwByAG0AYQB0AGkAbwBuAAAAAAAAAAAAAAA4 AAIBBAAAAP//////////AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAARgAAAAAQ AAAAAAAAAQBDAG8AbQBwAE8AYgBqAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAABIAAgD///////////////8AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAcQAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAP///////////////wAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA== --++----------20060721141025-112632577----------++-- From ingber at alumni.caltech.edu Sun Jul 23 12:46:20 2006 From: ingber at alumni.caltech.edu (Lester Ingber) Date: Sun, 23 Jul 2006 09:46:20 -0700 Subject: Connectionists: Paper: Ideas by Statistical Mechanics (ISM) Message-ID: <20060723164620.GA2345@alumnus> The following working paper is available from http://www.ingber.com or http://alumnus.caltech.edu/~ingber %A L. Ingber %T Ideas by Statistical Mechanics (ISM) %R Report 2006:ISM %I Lester Ingber Research %D 2006 %O URL http://www.ingber.com/smni06_ism.pdf Ideas by Statistical Mechanics (ISM) is a generic program to model evolution and propagation of ideas/patterns throughout populations subjected to endogenous and exogenous interactions. The program is based on the author's work in Statistical Mechanics of Neocortical Interactions (SMNI), and uses the author's Adaptive Simulated Annealing (ASA) code for optimizations of training sets, as well as for importance-sampling to apply the author's copula financial risk-management codes, Trading in Risk Dimensions (TRD), for assessments of risk and uncertainty. This product can be used for decision support for projects ranging from diplomatic, information, military, and economic (DIME) factors of propagation/evolution of ideas, to commercial sales, trading indicators across sectors of financial markets, advertising and political campaigns, etc. It seems appropriate to base an approach for propagation of ideas on the only system so far demonstrated to develop and nurture ideas, i.e., the neocortical brain. A statistical mechanical model of neocortical interactions, developed by the author and tested successfully in describing short-term memory and EEG indicators, is the proposed model. ISM develops subsets of macrocolumnar activity of multivariate stochastic descriptions of defined populations, with macrocolumns defined by their local parameters within specific regions and with parameterized endogenous inter-regional and exogenous external connectivities. Parameters with a given subset of macrocolumns will be fit using ASA to patterns representing ideas. Parameters of external and inter-regional interactions will be determined that promote or inhibit the spread of these ideas. Tools of financial risk management, developed by the author to process correlated multivariate systems with differing non-Gaussian distributions using modern copula analysis, importance-sampled using ASA, will enable bona fide correlations and uncertainties of success and failure to be calculated. Marginal distributions will be evolved to determine their expected duration and stability using algorithms developed by the author, i.e., PATHTREE and PATHINT codes From Eugene.Izhikevich at nsi.edu Sun Jul 23 18:18:22 2006 From: Eugene.Izhikevich at nsi.edu (Eugene M. Izhikevich) Date: Sun, 23 Jul 2006 15:18:22 -0700 Subject: Connectionists: Encyclopedia of Computational Neuroscience Message-ID: <44C3F5AE.6000104@nsi.edu> All subscribers are invited to participate in the election of authors for the Encyclopedia of Computational Neuroscience, which is hosted by scholarpedia.org ? the free peer-reviewed encyclopedia. Scholarpedia is a synthesis of Encyclopedia Britannica and Wikipedia. It feels and looks like Wikipedia, with the exception that (1) Each article is written by an expert. (2) Each article is anonymously peer reviewed to ensure accurate and reliable information. (3) Each article has a curator - typically its author -- who is responsible for its content. (4) Any modification of the article needs to be approved by the curator before it appears in the final, approved version. Currently, Scholarpedia hosts Encyclopedia of Computational Neuroscience, Encyclopedia of Dynamical Systems, and Encyclopedia of Computational Intelligence. All will be published in a printed form. A unique feature of Scholarpedia is that its authors are either invited by the editor-in-chief or elected by the public - you. Public election of authors ensures fairness in assigning articles to the corresponding experts in each field. You are invited to register as a ?Scholar? using the invitation key ?IEEE?. This would allow you to vote for authors, nominate people for articles, and even initiate election for new articles. Self-nominations are welcomed. Read more about Scholarpedia at http://www.scholarpedia.org. Click at http://www.scholarpedia.org/article/Encyclopedia_of_Computational_Neuroscience to see the list of suggested articles for the encyclopedia. Feel free to modify it and add new topics. (The invitation key will expire 1 week after this announcement). Eugene M. Izhikevich, The Neurosciences Institute, San Diego, California. From fschwenker at neuro.informatik.uni-ulm.de Mon Jul 24 03:38:22 2006 From: fschwenker at neuro.informatik.uni-ulm.de (Friedhelm Schwenker) Date: Mon, 24 Jul 2006 09:38:22 +0200 Subject: Connectionists: ANNPR 2006 : Call for registrations Message-ID: <44C478EE.40201@neuro.informatik.uni-ulm.de> [ Apologies for multiple postings ] ========================================================== CALL FOR REGISTRATION ANNPR 2006 2nd IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition August 31 - September 2 2006 University of Ulm, Reisensburg Castle (Germany) (http://www.informatik.uni-ulm.de/ni/ANNPR06) ========================================================== *Registration is open now!* Workshop program and registration form are available at the workshop web site! Proceedings, published in the Springer LNAI Series (Vol. 4087), will be available at the opening of the workshop. Simone Marinai Friedhelm Schwenker* *ANNPR 2006 workshop chairs ========================================================== ************************************************************* FINAL CALL FOR PAPERS ANNPR 2006 2nd IAPR TC3 International Workshop on Artificial Neural Networks in Pattern Recognition August 31 - September 2 2006 University of Ulm, Reisensburg Castle (Germany) (http://www.informatik.uni-ulm.de/ni/ANNPR06) The workshop proceedings will be published by Springer Verlag (LNAI). Aim of the workshop: ANNPR 2006 follows the success of the first workshop ANNPR 2003 held at the University of Florence, Italy, in September 2003. This 2nd ANNPR workshop will act as a major forum for international researchers and practitioners working in all areas of neural network based pattern recognition to present and discuss the latest research, results, and ideas in these areas. The TC3 "Neural Networks & Computational Intelligence" is one of the 20 technical committees of the International Association on Pattern Recognition (IAPR). The scope of this TC is on all kinds of Computational Intelligence approaches, including artificial neural networks, fuzzy systems, evolutionary computing, with focus on pattern recognition applications. Papers are solicited dealing with neural networks and pattern recognition which emphasize methodological issues arising in applications. They should be related but not limited to the following topics. Methodological issues: - Supervised learning. - Unsupervised learning. - Combination of supervized and unsupervized learning. - Feedforward networks and kernel machines - Recurrent and competitive neural networks. - Hierarchical modular architectures and hybrid systems. - Combination of neural networks and Hidden Markov models. - Multiple classifier systems and ensemble methods. Applications in Pattern Recognition - Image processing and segmentation. - Sensorfusion and multimodal processing. - Feature extraction, dimension reduction. - Clustering and vector quantisation. - Speech and speaker recognition. - Data, text, and web mining. - Bioinformatics. --------------------------------------------------------------------------- Original and unpublished contributions are solicited which include regular papers and extended abstracts. Potential participants should submit a paper describing their work in one of the areas described above. Each regular paper must be accompanied by an abstract summarizing the contribution it makes to the field. Maximum paper length for regular papers is 12 pages in LNCS format. Extended abstracts can have at most four pages. Submission of a paper constitutes a commitment that, if accepted, one or more authors will attend and participate in the workshop. The workshop proceedings will be published in the Springer LNAI series. Electronic submission in camera-ready format is required. Papers must be sent to: Friedhelm Schwenker, Department of Neural Information Processing, University of Ulm (Email: friedhelm.schwenker at uni-ulm.de) --------------------------------------------------------------------------- Important Dates: Paper submission: March 30, 2006 Notification of acceptance: May 15, 2006 Camera ready copies: May 30, 2006 --------------------------------------------------------------------------- Further information: Contact Simone Marinai or Friedhelm Schwenker (Email: annpr2006 at uni-ulm.de) or visit the Workshop web page (http://www.informatik.uni-ulm.de/ni/ANNPR06/). --------------------------------------------------------------------------- General Chair Simone Marinai (University of Florence, Italy) Program Chair Friedhelm Schwenker (University of Ulm, Germany) Program Committee (confirmed members): Shigeo Abe (Kobe University, Japan) Herve Bourlard (IDIAP, Martigny, Switzerland) Horst Bunke (University of Bern, Switzerland) Neamat El Gayar(Cairo University, Egypt) Patrick Gallinari (University Pierre et Marie Curie, Paris, France) Marco Gori (University of Siena, Italy) Barbara Hammer (Technical University of Clausthal, Germany) Tom Heskes (University of Nijmegen, The Netherlands) Jose Manuel Inesta (University of Alicante, Spain) Rudolph Kruse (Otto-von-Guericke University of Magdeburg, Germany) Cheng-Lin Liu (Chinese Academy of Sciences, China) Marco Maggini (University of Siena, Italy) Erkki Oja (Helsinky University of Technology, Finland) Guenther Palm (University of Ulm, Germany) Marcello Pelillo (University Ca Foscari, Venezia, Italy) Raul Rojas (Freie University of Berlin, Germany) Fabio Roli (University of Cagliari, Italy) Ah Chung Tsoi (University of Wollongong, Australia) Michel Verleysen (Catholic University of Louvain, Belgium) Stefan Wermter (University of Sunderland, UK) ----------------------------------------------------- -- ---------------------------------------------------------------------- Dr. Friedhelm Schwenker University of Ulm | email: friedhelm.schwenker at uni-ulm.de Department of Neural | fax: +49-731-50-24156 Information Processing | phone: +49-731-50-24159 D-89069 Ulm (Germany) | www: http://www.informatik.uni-ulm.de/ni/mitarbeiter/FSchwenker.html ---------------------------------------------------------------------- From boehme at inb.uni-luebeck.de Tue Jul 25 08:37:50 2006 From: boehme at inb.uni-luebeck.de (Martin Boehme) Date: Tue, 25 Jul 2006 14:37:50 +0200 Subject: Connectionists: =?iso-8859-1?q?PhD_/_Postdoc_position_at_L=FCbeck?= =?iso-8859-1?q?_University=2C_Institute_for_Neuro-_and_Bioinformatics?= Message-ID: <44C6109E.8050304@inb.uni-luebeck.de> The Institute for Neuro- and Bioinformatics (INB) at the University of L?beck, Germany is seeking a PhD student or Postdoctoral Researcher for the ARTTS project (Action Recognition and Tracking based on Time-of-flight Sensors), funded by an EU grant. Project ------- Based on a new type of award-winning sensor technology, the time-of-flight (TOF) camera, ARTTS will develop algorithms and prototype systems to solve open computer vision problems and enable new applications that involve multimodal interfaces and the sensing of people and their actions. Unlike a conventional video camera, the TOF camera delivers not only an intensity image but also a range map that contains a distance measurement at each pixel, obtained by measuring the time required by light to reach the object and return to the camera (time-of-flight principle); see http://www.swissranger.ch. The other partners in the ARTTS project are the Technical University of Denmark; the University Politehnica of Bucharest; CSEM (the Swiss Center for Electronics and Microtechnology); and SensoMotoric Instruments GmbH, Germany. Work at INB will focus on developing new algorithms for head tracking, gesture and action recognition, and face detection using the innovative time-of-flight technology. Position -------- Applicants for the PhD student position should have a Master, Diploma, or equivalent degree in computer science, physics, mathematics, or related areas. Applicants for the postdoctoral position should have a PhD in one of the areas listed above. Additionally, applicants should have a background in at least one of the following areas: - Image Processing and Image Analysis - Computer Vision - Machine Learning - Software Development - Head Tracking or People Tracking The position lasts for three years and is available from 1 September 2006. Applicants should ideally be available from this date, though applicants who require a later starting date may also be considered. The salary will be based on the German public service BAT IIa payscale (around 40,000 EUR per annum, the exact amount depending on age and marital status) Disabled applicants with equal qualifications will be given preferential treatment. Applications, including CV and references, should be sent via email to barth at inb.uni-luebeck.de with Cc to martinetz at inb.uni-luebeck.de and boehme at inb.uni-luebeck.de The deadline for applications is midnight CEST on 14 August 2006; later applications may be considered until the position is filled. -- Martin B?hme Inst. f. Neuro- and Bioinformatics Ratzeburger Allee 160, D-23538 Luebeck Phone: +49 451 500 5814 Fax: +49 451 500 5502 boehme at inb.uni-luebeck.de From coenen at csl.sony.fr Tue Jul 25 12:57:15 2006 From: coenen at csl.sony.fr (Olivier J.-M. D. Coenen) Date: Tue, 25 Jul 2006 18:57:15 +0200 Subject: Connectionists: Positions Sony CSL Paris - Neuro Message-ID: <003101c6b00b$638be840$cf01000a@CoenenVaioS1> Positions are available IN THEORETICAL AND COMPUTATIONAL NEUROSCIENCE Neural Information Dynamics Group Sony Computer Science Laboratory - Paris, France Available immediately Positions (Postdocs, Associate Reseachers, Engineers, etc.) are available for theoretical and computational studies in Neuroscience and Machine Learning with potential applications in robotics and other fields. Highly motivated and creative individuals are sought for a period of up to 3 years to join our research efforts. The interested candidates will be building mathematical and computational models of neural processing, sensorimotor integration and control with a particular emphasis on active perception, and representation and learning in different brain areas. Research interests include unsupervised learning, information theory and probabilistic approaches to representation and learning in networks of (spiking) neurons, touch and haptic representation, laws of sensorimotor interactions, reinforcement learning and robotic learning and control, sensory augmentation and sensory substitution systems as well as sensorimotor illusion devices. The candidates will have the opportunity to work across disciplines and levels of investigation, from mathematical theories, analytical models and detailed compartmental models of neurons to the creation of a unique computing platform. The models will be informed and constrained by neurobiological and psychological data. The Sony Computer Science Laboratory is a fundamental research center located in the Quartier Latin, in the center of Paris. It is next door to the renown Ecole Normale Superieure and only a few steps away from a large number of universities and institutions in Paris (Sorbonne, Jussieu, College de France, etc.). The laboratory has interests in cognition, music, language, and robotics. Current collaborations within the European Project SENSOPAC (SENSOrimotor structuring of Perception and Action for emerging Cognition) will give the candidates the possibility to interact closely with theoreticians, experimental neurophysiologists, and computer and hardware scientists at universities in Paris, in Europe and abroad. Candidates should have a solid analytical background and a keen interest in neuroscience. Experience in machine learning algorithms and in computational models is desirable. Excellent computer programming skills (Matlab, C, C++) are essential. Competitive salaries are presented in accordance with qualifications. Applicants should send by email with the subject "Positions Sony CSL Neuro" a curriculum vitae (CV) (pdf format preferred)with a list of publications, a 1 or 2-page statement of research interests, together with the names, addresses, emails and phone numbers of at least three referees to coenen '-at-' csl.sony.fr (please title your files using yourfullname-positionrequested-[CV,statement].pdf, such as johnsmith-postdoc-statement.pdf) or mail to: Olivier J.-M. D. Coenen, Ph.D. Sony Computer Science Laboratory - Paris 6, rue Amyot 75005, Paris France Phone: +33 1 44 08 05 04 Fax: +33 1 45 87 87 50 http://www.csl.sony.fr From tobias at jupiter.chaos.gwdg.de Wed Jul 26 03:56:15 2006 From: tobias at jupiter.chaos.gwdg.de (Tobias Niemann) Date: Wed, 26 Jul 2006 09:56:15 +0200 Subject: Connectionists: Bernstein Fellow PostDoc-Position: Bernstein Fellow for Computational Neuroscience Message-ID: <44C7201F.7030608@chaos.gwdg.de> Applications are invited for Postdoctoral Research Positions in Computational Neuroscience at the recently established Bernstein Center for Computational Neuroscience (BCCN) in G?ttingen, Germany. G?ttingen is a center of neuroscience in Europe hosting numerous internationally recognized neuroscience research institutions, including three Max Planck Institutes, the European Neuroscience Institute, the German Primate Research Center, and G?ttingen University's Centers for Systems Neuroscience (ZNV) and for the Molecular Physiology of the Brain (CMPB). The BCCN integrates theoretical and experimental research groups from these institutions to foster interdisciplinary research in computational neuroscience specifically supporting close collaboration between theorists and experimental researchers. We are looking for strong research personalities, who are experienced in the field of Computational Neuroscience and/or related disciplines such as theoretical physics, biophysics, mathematics, or computer science and with commitment to a research career in neuroscience. Prior biological or neuroscience training is welcome but not required. The Bernstein Fellow will have the opportunity to collaborate with other members of the BCCN or to establish an own research program which complements the activities of the BCCN. Initially the positions are limited to two years and may be extended to up to four years. Application deadline is 31 August 2006. Please submit your application preferably in one single PDF-document, including cover letter, CV, list of publications, research proposal/interests, names of three possible referees, relevant certificates, and copies of three of your most important publications to: jobs at bccn-goettingen.de (Subject: Bernstein Fellow) For more information please refer to http://www.bccn-goettingen.de While e-mail is preferred, applications may also be submitted in hardcopy to the following address: Prof. Dr. Theo Geisel Keyword: Bernstein Fellow Bernstein Center for Computational Neuroscience (BCCN) G?ttingen Max-Planck-Institute for Dynamics and Self-Organization Bunsenstrasse 10 D - 37073 G?ttingen, Germany http://www.bccn-goettingen.de The BCCN is an equal opportunity employer. From gb at tuebingen.mpg.de Wed Jul 26 05:50:24 2006 From: gb at tuebingen.mpg.de (=?iso-8859-1?Q?G=F6khan_H_BakIr?=) Date: Wed, 26 Jul 2006 11:50:24 +0200 Subject: Connectionists: The Spider -- Machine Learning Toolbox for Matlab Message-ID: Dear Colleagues, Hereby, we would like to announce the Spider machine learning toolbox v1.71 for Matlab. http://www.kyb.tuebingen.mpg.de/bs/people/spider/ The spider is intended to be a complete object orientated environment for machine learning in Matlab. Aside from easy use of base learning algorithms, algorithms can be plugged together and can be compared with, e.g model selection, statistical tests and visual plots. This gives all the power of objects (reusability, plug together, share code) but also all the power of Matlab for machine learning research. For demonstration, use cases and FAQ please see the webpage. Best wishes G?khan BakIr From rgutier at cs.tamu.edu Wed Jul 26 20:24:28 2006 From: rgutier at cs.tamu.edu (Ricardo Gutierrez-Osuna) Date: Wed, 26 Jul 2006 19:24:28 -0500 Subject: Connectionists: Postdoctoral position available in Neurodynamics Message-ID: <20060727002428.8782982B94@hobbiton.cs.tamu.edu> ASSISTANT RESEARCH SCIENTIST POSITION AVAILABLE Department of Computer Science Texas A&M University A postdoctoral position at the level of Assistant Research Scientist is available in the Department of Computer Science at Texas A&M University, under the supervision of Prof. Ricardo Gutierrez-Osuna. The appointment will be for two years; a third year may also be available subject to approval from the sponsor. Salary will be competitive, depending on qualifications and experience. The post is available immediately. U.S. citizenship is required. Candidates should have or be close to completing a Ph.D. in Computer Science, Electrical Engineering, Computational Neuroscience, or related disciplines. The project will involve developing pattern recognition and neurodynamical models to control the operation of chemical microsensor arrays. To accomplish the overall goal of the project, applicants must have clearly demonstrated experience in pattern recognition, neural information processing and dynamical systems models. Programming experience is also a must. Familiarity with chemical sensors is desirable, but not essential. During the first year, work will be undertaken at the TAMU Pattern Recognition and Intelligent Sensor Machines Laboratory at TAMU. During the second year, work will be performed jointly at TAMU and at the Process Measurements Division, National Institute of Standards and Technology (Gaithersburg, MD) under the supervision of Dr. Steve Semancik. APPLICATION To be considered for the position, applicants must submit the following materials: - Curriculum vitae, including a list of publications - Statement of research interests and goals - Sample publications (refereed) - Three letters of recommendation, sent directly by the evaluators -A transcript from the institution where the Ph.D. was (or will be) earned To be assured of full consideration, all material must arrive by September 30, 2006. Applications will continue to be accepted until the position is filled. Please send materials by U.S. mail or email to: Prof. Ricardo Gutierrez-Osuna Department of Computer Science Texas A&M University Box 3112 College Station, Texas 77843-3112 Email: prism.pd at cs.tamu.edu Tel: (979) 845-2942 From dayan at gatsby.ucl.ac.uk Fri Jul 28 09:04:19 2006 From: dayan at gatsby.ucl.ac.uk (Peter Dayan) Date: Fri, 28 Jul 2006 14:04:19 +0100 Subject: Connectionists: PhD studentship at Queen's University Belfast Message-ID: <20060728130419.GA11840@flies.gatsby.ucl.ac.uk> Ph.D. studentship: "The World of Uncertainty" The World of Uncertainty will be an educational computer game. In it decision-makers will learn how to manage scientific uncertainty. They will practice until they are as good as a bookmaker. Currently there is a big gap in understanding between those who are happy modelling uncertainty (such as scientists and bookmakers) and those who want to make decisions based on simple stories (such as a politician or civil servants). In newspaper articles or TV News complex subjects such as global warming are reduced to one or two simple narratives. But in computer games we are not forced into a linear narrative. Players can explore alternatives, trying out different options, creating their own narratives as they wander through a world of uncertainty. The EPSRC is funding Queen's University Belfast, University College London and Brunel University to build and evaluate an educational computer game, in which players will learn to manage scientific uncertainty. The project proposal is online at (at http://is.mgt.qub.ac.uk/research/uncertainty/world_of_uncertainty.pdf). The School of Management and Economics in QUB is now offering a postgraduate research studentship to work as part of the project team and complete a Ph.D. or M.Phil. programme of research. You will need to develop a psychological understanding of what decision-makers, learners and their teachers would require in order to effectively improve understanding of uncertainty and a mathematical understanding of how to explicitly represent uncertainty inside a computer game. A computer games developer will then build a prototype game, which you will then test in order to evaluate its educational effects. Applicants should hold at least a 2.1 Honours degree (or equivalent). You must have, through your degree or elsewhere, experience in, or skills applicable to, the mathematics of uncertainty, and the psychology or sociology of decision-making. A stipend of 12,000 pounds sterling will be paid, along with postgraduate research fees for UK and EU students. Applicants should forward to Mrs Sonia O'Hare, School Administrator, a detailed curriculum vitae in conjunction with an outline proposal of how their skills would contribute to each of the stages of the project. . For further information and particulars, please contact Dr. Brian Webb (e-mail: b.webb at qub.ac.uk or tel: +44 (0)28 90 27 3592). Closing Date for applications: 25 August 2006. Starting Date: End September 2006 or as close to this date as can be arranged. The School of Management and Economics reserves the right to withdraw the offer of a studentship and alter any terms and conditions stated. From julien.ciroux at gmail.com Fri Jul 28 08:33:18 2006 From: julien.ciroux at gmail.com (Julien Ciroux) Date: Fri, 28 Jul 2006 13:33:18 +0100 Subject: Connectionists: New thesis -- Modeling the McCollough Effect Message-ID: <17610.1038.536103.20688@lodestar.inf.ed.ac.uk> Dear Colleagues, It is my pleasure to announce the availability of my MSc dissertation, completed at the Institute for Adaptive and Neural Computation at the University of Edinburgh, Scotland under the supervision of Dr. James A. Bednar. The dissertation describes how the McCollough color/orientation aftereffect can be explained in remarkable detail, based on the same Hebbian learning mechanisms that lead to the development of biologically realistic topographic maps for orientation and color preferences in V1. The model thus provides a novel link between long-term development and color vision in the adult. For more details, please see the abstract below, or download the PDF file using the link provided. Julien Ciroux _______________________________________________________________________________ Simulating the McCollough Effect in a Self-Organizing Model of the Primary Visual Cortex Julien Ciroux The McCollough effect, an orientation-contingent color aftereffect, is a useful tool for studying the functionality of the visual system. There have been several attempts to model and understand the neural mechanisms underlying it, but none of them give a satisfactory functional explanation of the effect. Moreover, numerous experiments seem to indicate that this aftereffect involves the primary visual cortex (V1), and there have been no reported efforts to simulate it with a computational model of this cortical area. The present document constitutes the first computational study of the McCollough effect with a self-organizing map model of V1. LISSOM (Laterally Interconnected Synergetically Self-Organizing Map) is a biologically plausible, self-organizing map model that has successfully accounted for important anatomical and functional features of V1, as well as for the tilt aftereffect, another visual effect. Fundamental assumptions of LISSOM are that lateral connections between cortical neurons play an important role in cortical processing, and that the cortex self-organizes through Hebbian learning. LISSOM has been recently used to model the development of color and orientation maps at the V1 level and is therefore appropriate for modeling the McCollough effect. This thesis presents a simulation of the effect with LISSOM, and the first rigorous comparison of the simulated effect with available psychophysical data on the McCollough effect. The model suggests that Hebbian learning of lateral inhibitory interactions between orientation and color selective cells in V1 is the neural mechanism underlying the effect, thus lending strong support to the theory that the processing mechanisms involved in the ME are mostly located in the primary visual cortex. Moreover, the structure of the orientation and color map in V1, as well as the interactions between them, are also examined further, and it will be shown that the model accounts for both structural self-organization in color and orientation map and functional characteristics of adult vision. Thus, this thesis constitutes the first psychophysically and biologically grounded simulation of the ME, and the first to simulate complete topographic maps like those in the visual cortex. Importantly, the model was not originally developed with the ME in mind, which strongly suggests that the effect is a byproduct of the general cortical processing mechanisms in the model. The model also shows for the first time how the short-term adaptation in the ME is related to the long-term developmental processes, providing an important link between development and adult visual function. URL: http://www.inf.ed.ac.uk/publications/thesis/online/IM050308.pdf Software: http://www.topographica.org Keywords: McCollough effect, orientation maps, color maps, development, self-organization, natural images, modeling From rsalakhu at cs.toronto.edu Mon Jul 31 12:08:43 2006 From: rsalakhu at cs.toronto.edu (Ruslan Salakhutdinov) Date: Mon, 31 Jul 2006 12:08:43 -0400 (EDT) Subject: Connectionists: Non-linear dimensionality reduction using neural networks Message-ID: Dear Colleagues, I wanted to advertise our paper appearing in this issue of Science magazine (July 28, 2006). The paper, along with supporting material and Matlab code, is publicly available at: http://www.cs.toronto.edu/~rsalakhu/index.html or from Science online (subscription-only) at http://www.sciencemag.org/cgi/content/full/313/5786/504 Here is the abstract; Reducing the Dimensionality of Data with Neural Networks G. E. Hinton and R. R. Salakhutdinov High-dimensional data can be converted to low-dimensional codes by training a multilayer neural network with a small central layer to reconstruct high-dimensional input vectors. Gradient descent can be used for fine-tuning the weights in such "autoencoder" networks, but this works well only if the initial weights are close to a good solution. We describe an effective way of initializing the weights that allows deep autoencoder networks to learn low-dimensional codes that work much better than principal components analysis as a tool to reduce the dimensionality of data. Department of Computer Science, University of Toronto, 6 King's College Road, Toronto, Ontario M5S 3G4, Canada. Science 28 July 2006: Vol. 313. no. 5786, pp. 504 - 507 Sincerely, Russ From g.goodhill at imb.uq.edu.au Mon Jul 31 22:04:13 2006 From: g.goodhill at imb.uq.edu.au (Geoffrey Goodhill) Date: Tue, 01 Aug 2006 12:04:13 +1000 Subject: Connectionists: Summary of courses available Message-ID: <44CEB69D.6040907@imb.uq.edu.au> Dear Connectionists, Thank you very much to everyone who replied to my request for information about courses being taught in Computational Neuroscience. Below is a lightly-edited summary of responses so far (sorry for the delay), in roughly the order they arrived. I have also made this file available at www.goodhill.org/comp_neuro_courses I will be happy to update this file periodically if you would like to send me additional info. Thanks, Geoff ------------------------------------------- BEDNAR (Edinburgh) "Computational Neuroscience of Vision" http://www.inf.ed.ac.uk/teaching/courses/cnv/ Text: Miikkulainen et al, Computational Maps in the Visual Cortex, Springer (2005). Officially, the course was at the MSc level, although there were a couple of 4th-year undergraduates also. There are 18 1-hour lectures. This year (the first year it has been offered) there were 17 students who took it for credit, plus three auditing. There are no specific prerequisites, because it's not particularly mathematical, and because I include a long intro to biological vision. Assessment: 2 practical assignments, plus a short-essay exam. "This course focuses on understanding the computational mechanisms underlying animal visual systems that are similar to those of humans. The main emphasis is on how the properties of neurons across the two-dimensional surface of the visual cortex are organised topographically to represent and transform the relevant features of visual stimuli. Because the visual cortex is the primary model system for understanding the cortex in general, the course also acts as an introduction to computational processing in all topographically organised cortical regions." ROSSUM (Edinburgh) Graduate http://www.inf.ed.ac.uk/teaching/courses/2005/nc.html Text: Dayan & Abbott, Theoretical Neuroscience, MIT Press, 2001. "This module aims to examine: How the brain computes and processes information from the outside world. How the brain wires up and how it stores information. We will study the brain at a fairly low level, so that we can make contact with neurophysiological data. We will show the necessary biological data and how it can be described in mathematical terms. We will present modelling methods applicable to various levels of organisation of the nervous system (e.g. single cells, networks of cells). We discuss models of particular brain subsystems. In the practical session we use Matlab and NEURON to simulate the models (No familiarity with NEURON required, some self study of Matlab is beneficial.)" BLACKWELL (GMU) http://www.gmu.edu/departments/krasnow/CENlab/syllabus.html Text: Johnston & Wu, Foundations of Cellular Neurophysiology, MIT Press, 1995. "An intense review of neurobiology for graduate students interested in studying how nerve cells integrate and transmit signals, and how behavior emerges from the integrated actions of populations or circuits of nerve cells. The course covers electrical and biochemical properties of single neurons, and electrical and chemical communication between neurons. Emphasis is on mathematical descriptions and computational techniques used to study and understand neurons and networks of neurons.Learn how to ask and answer questions about neurobiology using computational techniques" http://www.gmu.edu/departments/krasnow/CENlab/csi735.html Text: Dayan & Abbott, Theoretical Neuroscience, MIT Press, 2001. "An intensive introduction to systems neuroscience. The anatomy, physiology, and function of each of the major brain structures and systems will be presented. The emphasis will be on behaviors that emerges from integrated actions of populations of neurons. Computational techniques used to study and understand networks of neurons also will be addressed. Students are expected to do assigned readings prior to class and to participate in class discussions (20% of grade) and present a project in class (80% of grade)." TRAPPENBERG (Dalhousie) Graduate Text: Trappenberg, Fundamentals of Computational Neuroscience, OUP, 2002. The role of modelling in neuroscience. Example of mapping networks (e.g. simple perceptron or MLP) to recognize letters. Neurophysiological basis of spiking neurons. Models of spiking neurons. Modelling population averages. Synaptic Plasticity (spike time and rate models) Overview of some organizations in the brain (e.g. very basic anatomy, cortical maps, laminar organization, etc). Memory and learning. Recurrent attractor models (typically point attractor networks, sometimes continuous attractors as an example of my research specialty), Hippocampus Self-organizing maps, typically in the form of Willshaw and Von der Marlsburg). Some basic reinforcement learning. Usually at least one example of a coupled network or system level model of the brain. The course also includes some technical introductions, in particular Introduction to Matlab Numerical integration of differential equations Basic vector and matrix algebra Sometimes some statistics No perquisites are required and the course is introductory in nature due to the diverse background of the students, but I make it clear that they need to write basic simulation programs that typically involve the numerical integration of ODEs. A major part of the course and the evaluation are individual student projects. Finally, we will offer a 4th-year undergraduate elective in the UG neuroscience program for the first time this fall. This course will be along similar lines as described above (and initially co-taught) but with more specific projects instead of the very research-oriented projects required by the grad students. I also taught a weekly section of the main graduate neuroscience course on the topic of computation neuroscience but did not continue this in the last two years due to my schedule restrictions. BOWMAN (Kent) Graduate/undergraduate http://www.cs.kent.ac.uk/teaching/05/modules/CO/6/36/index.html Texts: Reilly & Munakata, "Computational Explorations in Cognitive Neuroscience, Understanding the Mind by Simulating the Brain", MIT Press, 2000. Introduction to cognitive neural networks The individual neuron Networks of Neurons Model Learning Task Learning Combined model, task learning and other mechanisms The brain and implications for biologically plausible neural networks Perception, Vision, Object Recognition and Attention ERMENTROUT (Pittsburgh) Here are 2 classes I've taught several times over the years. I currently use Abbott & Dayan for the comp neuro course and I use a draft of my book, Math Neuroscience, for the math course. http://www.math.pitt.edu/~bard/bardware/classes/compneuro/neurointro.html http://www.math.pitt.edu/~bard/bardware/classes/introcns.html http://www.math.pitt.edu/~bard/bardware/classes/mathneuro/intro.html http://www.math.pitt.edu/~bard/bardware/classes/mathneuro/mn.html http://www.math.pitt.edu/~bard/bardware/classes/mathneuro/mn06.html FELDMAN (ICSI) http://www-inst.eecs.berkeley.edu/~cs182/sp06/ UG class, 15 weeks, ~70 students Text: Feldman, From Molecule to Metaphor: A Neural Theory of Language, MIT Press, 2006. HINTON (Toronto) Undergraduate http://www.cs.toronto.edu/~hinton/csc321/index.html Graduate http://www.cs.toronto.edu/~hinton/csc2535/index.html SANCHEZ (Florida) I teach a course titled "Fundamentals of Computational Neuroscience" every spring semester at the University of Florida. This past year, I had 8 graduate students. You can see the course website here http://nrg.mbi.ufl.edu (select courses) DAYAN (UCL) Graduate, 24 lectures, 5-10 students. Text: Dayan & Abbott, Theoretical Neuroscience, MIT Press, 2001. Prerequisites: facility with standard mathematical methods for physcists, plus some probability theory. neural encoding and decoding, information theory neuroelectronics (spiking, dendrites, propagation, synapses) development and learning Assessment: brutal [sic] The main problem is deciding how to teach systems as well as methods. we currently solve that by having a separate course. REGGIA (U Maryland) I teach the following course roughly every two or three years in the Comp. Sci. Department at the University of Maryland: Title: Neural Computation Level: graduate students Duration: about 30 lectures Size: about 20 - 25 students per offering Prerequisite: graduate standing in comp sci/EE/neuro/psych/etc. Topics: methods/algorithms for neural computation, with a heavy emphasis on learning, including perceptrons, backpropagation, radial basis function networks, associative nets, unsupervised learning, self-organizing maps, associative memories, dynamical system theory, oscillatory nets, etc. Textbooks: several as references plus papers from the literature Assessment: typically four programming projects, homework problems, midterm and final exams GRAHAM (Stirling) I teach an undergraduate computing science honours-level half module called "Computing and the Brain" (point your browser at: www.cs.stir.ac.uk/courses/CSC9YF/ This normally has 10-20 students, uses the NEURON simulator and loosely refers to Churchland & Sejnowski, "The Computational Brain" and Lytton, "From Computer to Brain". It assumes nothing (just as well!) from the students and provides a basic intro to neuroscience/computational neuroscience. SWINDALE (UBC) I teach an introductory course in computational neuroscience aimed at graduate students (it is a 500 level course), it is for 3 credits and is one session of 3 hours per week for one term. There are typically 5 - 10 students in the class and typically several of them are auditors who contribute in exactly the same way as those doing it for credit. Prerequisites: Some background in either physics/math/computer science/engineering and/or some neuroscience background. This means the backgrounds of the students are usually quite mixed. More often than not they lack the neuroscience side, so the course usually includes about 3 - 4 classes of introductory neuroscience material, of course stressing the quantitative aspects. In the first class we ask 'is the brain a computer?' (Turing's paper) and 'what is computation?', for which we go to Penrose for a good explanation of Turing machines and computability. That usually gets the students talking a lot. After that we begin for real with nervous system basics including cellular biophysics, synapses, receptors, compartmental modelling, very detailed 'Neuron' type simulations. Then we go on to look at simplified model neurons and some basic types of neural net, including various associators, adalines, Hopfield, back-propagation etc; then we usually look at some more specifically neural models e.g. cortical maps (correlation based learning, Kohonen, maybe even elastic net); after that the selection is somewhat up to the students, this year we had a class on sparse coding and usually we review something to do with hippocampus. In the last class we return to the beginning in a sense and look at the neural corelates of consciousness. Textbook: There isn't an ideal one. Dayan & Abbott is a great book but is a bit too advanced to be used for the whole course (I have started to use parts of it though). Mostly I use chapters from various sources, Anderson is the best book for the basic simple network models that we look at. However it does not cover the neuroscience well enough for me, also I find the mathematical notation is over-simplified to the point that it makes it harder (for me at least) e.g. the section of back-prop which is tricky to make clear but is not particularly difficult, if it is done well. Assessment: Students present some of the material (as far as possible in areas that they are more comfortable with than the rest of the class), they also do an end of term presentation of a project (the idea is to get them to write code of some kind) and there is also a written exam (which can be quite revealing). Problems: It is very introductory but it has to be, given the varied backgrounds of the students; the main goals are to give students from the physical sciences some understanding of what the brain is like as a physical system and to persuade the less-mathematically trained neuroscience students that programming and modelling are not difficult if you are clear about what you are trying to do. FRANK (Arizona) This past semester I taught a graduate seminar, ?Computational Cognitive Functions of the Prefrontal Cortex?: https://www.polis.arizona.edu/courseHomesite.do?course=PSYC_596F-1&semester=spring06 There were about 10 students. This coming semester I will teach an undergraduate honors seminar on computational cognitive neuroscience, with 20 students and one lecture and one lab section a week. I will subsequently teach a grad-level course on the same topic. Both these classes will use the O?Reilly & Munakata (2000) textbook. GOODHILL (U Queensland) I currently teach part of a 3rd-year undergrad course in Mathematical Biology, which this year had about 30 students. My part is loosely based on parts of Dayan & Abbott, Theoretical Neuroscience, MIT Press, 2001, and focuses particularly on neural coding and unsupervised learning. Assessment is by computer assignments (in matlab) and written final exam. The main problem is dealing with the diversity of backgrounds of the students, which vary substantially along the 3 dimensions of maths, programming and neuroscience.