From bert@mbfys.kun.nl Wed Nov 1 14:03:07 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Wed, 1 Nov 95 14:03:04 -0600; AA20821 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Wed, 1 Nov 95 14:03:02 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa25163; 31 Oct 95 13:47:41 EST Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa25161; 31 Oct 95 13:34:19 EST Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa04516; 31 Oct 95 13:33:38 EST Received: from RI.CMU.EDU by B.GP.CS.CMU.EDU id ab12942; 31 Oct 95 11:24:41 EST Received: from septimius.mbfys.kun.nl by RI.CMU.EDU id aa16827; 31 Oct 95 11:24:02 EST Received: from dontcare by septimius.mbfys.kun.nl via galba.mbfys.kun.nl [131.174.82.73] with SMTP id RAA26312 (8.6.10/2.4) for ; Tue, 31 Oct 1995 17:24:48 +0100 Date: Tue, 31 Oct 1995 17:24:48 +0100 From: Bert Kappen Message-Id: <199510311624.RAA26312@septimius.mbfys.kun.nl> To: Connectionists@cs.cmu.edu University of Nijmegen, Postdoctoral Fellowship The Foundation for Neural Netwokrs at the University of Nijmegen has a vacancy for a postdoctoral fellow for a theoretical research project. The project consists of the development of novel theory, techniques and implementations for perception and cognitive reasoning in a complex dynamic multi-sensory environment. The results will be explored both in robotics and in multi-media applications. The fundamental problems which could be addressed within the context of this project are for instance: Sub-symbolic symbolic interfacing, learning in a changing environment, or probabilistic knowledge representation combining neural networks and AI techniques such as Bayes networks. The project includes a group of about 10 scientists with participation from the University of Amsterdam (robotics-group) and Utrecht (research group on 3_d computer vision) and is funded by the Japanese Real World Computing Program. For more information about the research of the Foundation for Neural Networks and the neural networks research at the University of Nijmegen, please consult http://www.mbfys.kun.nl/SNN/ Applications for the position, which will be for one year with possible extension to three years, should be sent before november 20 to: Foundation for Neural Networks, University of Nijmegen Geert Grooteplein 21, NL 6525 EZ Nijmegen, The Netherlands Email: snn@mbfys.kun.nl From trevor@orion.eee.kcl.ac.uk Wed Nov 1 14:03:10 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Wed, 1 Nov 95 14:03:08 -0600; AA20829 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Wed, 1 Nov 95 14:03:06 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa25177; 31 Oct 95 13:58:28 EST Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa25165; 31 Oct 95 13:37:45 EST Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa04535; 31 Oct 95 13:37:07 EST Received: from CS.CMU.EDU by B.GP.CS.CMU.EDU id aa13986; 31 Oct 95 12:51:03 EST Received: from [137.73.10.73] by CS.CMU.EDU id aa24462; 31 Oct 95 12:47:11 EST Received: from swift.eee (swift.eee.kcl.ac.uk) by orion.eee.kcl.ac.uk (4.1/SMI-4.1) id AA29476; Tue, 31 Oct 95 17:42:47 GMT Date: Tue, 31 Oct 95 17:42:46 GMT From: T G Clarkson Message-Id: <9510311742.AA29476@orion.eee.kcl.ac.uk> To: connectionists@cs.cmu.edu Subject: Final Call for Papers - NeuroFuzzy'96, Prague, April 1996 (EU students should see the section on 'studentships') IEEE EUROPEAN WORKSHOP NEuroFuzzy '96 (with Neuronet'96) Workshop on Computational Intelligence 16-18 April 1996 Prague, Czech Republic Final Call for Papers You are invited to submit original papers addressing topics of interest for presentation at the conference and inclusion in the conference proceedings. Submissions should be in-depth, technical papers describing recent research and development results. Some tutorial papers are also welcome. o Selected papers will be prepared for publication in book form by IEEE Press. o All accepted papers will appear in a special issue of the journal Neural Network World in 1996. Schedule: The proceedings will now be published in Neural Network World. Camera-ready papers are not now required and the schedule has therefore been extended. Send one copy of the manuscript in English (up to 3000 words ) in LaTex or Word6 (figures should be send as separate "epsf" files) by email to mirko@uivt.cas.cz. Submissions due: December 1, 1995 Acceptance Notices mailed: January 15, 1996 Final version: February 2, 1996 Sponsored by: IEEE UK&RI Neural Networks Regional Interest Group IEEE UK&RI Communications Chapter Information: Further details about the workshop can be found on World Wide Web at: http://crg.eee.kcl.ac.uk/rig/neurofuzzy.html Technical Areas: o Neurobiological models o Intelligent Systems for Perception o Intelligent Systems for Communication o Intelligent Systems for Control and Robotics o Intelligent Systems for Time-series Analysis o Hardware Implementations Tutorials: Tutorials will be held on 16 April and will include: o Introduction to neural networks o Learning methods o Time-series analysis o Hardware for neural networks o Cellular neural networks o Neural network applications Location: The conference will be held in the historic Strahov monastery, which is near to the Castle in the centre of Prague. A hotel nearby will offer rooms at approx. 45 US$ per night. Limited accommodation at lower rates may be available. Fees (in US$): Non-members IEEE members Full registration $250 $220 Students $180 $150 East European Students $100 $100 Tutorials only $90 $75 Full registration includes attendance at the welcome party, tutorials, technical sessions, conference banquet and a copy of the proceedings in Neural Network World. Payment details will be given on the registration form which will be available soon. Submission Instructions: The title page of your submission must include 1) the name, complete return address, email, telephone and fax numbers of the author to whom all correspondence will be sent. 2) a 100-word abstract All other pages should be marked with the title of the paper and the name of the first author. Submissions to: Send one copy of the manuscript in English (up to 3000 words ) in LaTex or Word6 (figures should be send as separate "epsf" files) by email to mirko@uivt.cas.cz or on disk to: Prof. Dr.-Ing. Mirko Novak Institute of Computer Science Academy of Sciences of the Czech Republic Pod vodarenskou vezi 2 18207 Prague 8 Czech Republic ATTENTION: EU students A limited number of studentships of 450 ECU are available from the NEuroNet programme for EU students only to attend the tutorials at NEuroFuzzy. The grant is a contribution to travel, accommodation and registration so that students will be able to participate in the technical sessions as well as the tutorials. The studentships will be awarded on merit and applications must be received before December 31, 1995. Successful applicants will be notified in January 1996. For details concerning studentships only, contact the NEuroNet office: Ms Terhi Garner, NEuroNet Department of Electronic and Electrical Engineering King's College London Strand, London WC2R 2LS UK Email: terhi.garner@kcl.ac.uk Fax: +44 171 873 2559 From bruno@redwood.psych.cornell.edu Wed Nov 1 14:03:15 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Wed, 1 Nov 95 14:03:06 -0600; AA20826 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Wed, 1 Nov 95 14:03:04 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id ab25163; 31 Oct 95 13:48:46 EST Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id ab25161; 31 Oct 95 13:34:29 EST Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa04521; 31 Oct 95 13:34:06 EST Received: from RI.CMU.EDU by B.GP.CS.CMU.EDU id aa13116; 31 Oct 95 11:39:35 EST Received: from REDWOOD.PSYCH.CORNELL.EDU by RI.CMU.EDU id aa16898; 31 Oct 95 11:39:27 EST Received: by redwood.psych.cornell.edu (940816.SGI.8.6.9/940406.SGI.AUTO) id LAA14619; Tue, 31 Oct 1995 11:37:23 -0500 Date: Tue, 31 Oct 1995 11:37:23 -0500 From: "Bruno A. Olshausen" Message-Id: <199510311637.LAA14619@redwood.psych.cornell.edu> To: CVNetList@skivs.ski.org, connectionists@cs.cmu.edu Subject: neuroanatomical database available The following software is available via ftp://v1.wustl.edu/pub/xanat/xanat-2.0.tar.Z There is also a homepage at http://redwood.psych.cornell.edu/bruno/xanat/xanat.html Xanat 2.0 A Graphical Anatomical Database By Bill Press and Bruno Olshausen Washington University School of Medicine Department of Anatomy and Neurobiology St. Louis, Missouri 63110 XANAT is a computer program that facilitates the analysis of neuroanatomical data by storing the results of numerous studies in a standardized format, and by providing various tools for performing summaries and comparisons of these studies. Data are entered by drawing injection and label sites directly onto canonical representations of the neuroanatomical structures of interest, along with providing descriptive text information. Searches may then be performed on the data by querying the database graphically according to injection or label site, or via text information (i.e., keyword search). Analyses may also be performed by accumulating data across multiple studies and displaying a color coded map that graphically represents the total evidence for connectivity between regions. Data may be studied and compared free of areal boundaries (which often vary from one lab to the next), and instead with respect to standard landmarks, such as the position relative to well known neuroanatomical substrates, or stereotaxic coordinates. If desired, areal boundaries may be defined by the user to facilitate the interpretation of results. XANAT is written in C and is intended to run on unix workstations running the X11 window system. The workstation must have at least a modifiable 8-bit color map. The program has been successfully tested on Suns, SGIs, and IBM PCs (running Linux). Included with the distribution is an example dataset of pulvinar-cortical connectivity, which should prove useful in learning how to use the program. From giles@research.nj.nec.com Thu Nov 2 11:51:02 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Thu, 2 Nov 95 11:51:00 -0600; AA05786 Received: from bilby.cs.uwa.oz.au by lucy.cs.wisc.edu; Thu, 2 Nov 95 11:50:55 -0600 Received: from (mafm@parma.cs.uwa.oz.au [130.95.1.7]) by cs.uwa.oz.au (8.6.8/8.5) with SMTP id SAA11142; Thu, 2 Nov 1995 18:21:13 +0800 Message-Id: <199511021021.SAA11142@cs.uwa.oz.au> From: giles@research.nj.nec.com (Lee Giles) To: reinforce@cs.uwa.edu.au Subject: Call For Papers Date: Wed, 1 Nov 95 15:52:34 EST CALL FOR PAPERS: Third International Colloquium on Grammatical Inference (ICGI-96) Montpellier (France), September 25-27, 1996 With the help of the Special Interest Group in Natural Language Learning (SIGNLL) of the ACL. Chairperson: Laurent Miclet (IRISA-ENSSAT, Lannion, France) miclet@enssat.fr Organization : Colin de la Higuera (LIRMM, Montpellier, France) cdlh@lirmm.fr Scientific Committee J. Berstel (University Paris 6, France) M. Brent (J. Hopkins University, USA) H. Bunke (University of Bern, Switzerland) C. Cardie (Cornell University, USA) W. Daelemans (KUB, Nederlands) P. Dupont (FT-CNET, France) O. Gascuel (LIRMM, France) C. L. Giles (NEC Princeton, USA) J. Gregor (University of Tennessee, USA) J. P. Haton (CRIN-INRIA, France) F. Jelinek (J. Hopkins University, USA) T. Knuutila (University of Turku, Finland) S. Lucas (University of Essex, England) D. Luzeaux (=05ETCA, France) D. Magerman (Renaissance Technology, USA) E. Makinen (University of Tampere, Finland) R. Mooney (University of Texas, USA) G. Nagaraja (IIT Bombay, India) J. Nicolas (IRISA, France) J. Oncina, University of Alicante, Spain) L. Pitt (University of Illinois, USA) D. Powers (Flinders University, Australia) Y. Sakakibara (Fujitsu Laboratories Ltd, Japan) A. Stolcke (SRI International, Menlo Park, USA) E. Vidal (Universidad Politechnica de Valencia, Spain) Grammatical Inference (GI) is broadly understood as Machine Learning of Grammars and Languages from data. Traditionally, GI has been studied within several contexts: Information Theory, Formal Languages Theory, Computational Linguistics, Machine Learning, Pattern Recognition, Computational Learning Neural Networks, etc. This multidisciplinary perspective, however, has lead so far to a lack of a focused research community. A first attempt to correct this started with the "First Colloquium on Grammatical Inference : Theory, Applications and Alternatives" held in the University of Essex (U.K.), in April 1993. Then followed the "International Colloquium on Grammatical Inference 1994", held in Alicante (Spain), which proceedings have been published by Springer-Verlag as Volume 862 of the Lectures Notes in Artificial Intelligence. Following these successful meetings, ICGI 96 keeps aiming to provide a forum for discussion of principles, theory and applications of all those aspects of Machine Learning that explicitly focus on Grammars and Languages. Within this framework, topics of interest include, but are not limited to, the following : * Learning Paradigms for Grammars and languages : Cognitive models, Algebraic aspects, Identification in the limit and PAC-Learning ; Stochastic and Corpus-based approaches, Neural Networks, Genetic Algorithms, Fuzzy systems, etc. * Algorithms. * Heuristics. * Benchmarks. * Applications : Natural Language Processing, Language Translation ; Biological Sequences and Time Series Modelization and Prediction ; Image and Speech Recognition, Discrete Events Systems, etc. SCHEDULE : April 1, 1996 Deadline for submitted papers. June 15, 1996 Notification of acceptance and referrees comments. July 15, 1996 Camera ready copy. September 25-27, 1996 Colloquium. Please submit (not via electronic mail) three copies of your full length article (maximum 12 pages, 12 pt. font, including figures, tables, references, etc.) to : L. Miclet IRISA-ENSSAT BP 447 - 6, Rue de K=E9rampont 22305 LANNION Cedex FRANCE The Proceedings of the Colloquium will be considered for publication as a volume in the Springer-Verlag Lecture Notes Series in Artificial Intelligence. Information on ICGI'96 is on the www page : http://itkwww.kub.nl:2080/itk/Docs/Projects/Walter/icgi.html Laurent Miclet ENSSAT ________________________________________________________________ Ecole Nationale Sup=E9rieure de Sciences Appliqu=E9es et Technologie BP 447 6, rue de K=E9rampont Tel : +33 96 46 66 28 22305 LANNION Cedex Fax : +33 96 37 01 99 =46RANCE ________________________________________________________________ -- C. Lee Giles / Computer Sciences / NEC Research Institute / 4 Independence Way / Princeton, NJ 08540, USA / 609-951-2642 / Fax 2482 http://www.neci.nj.nec.com/homepages/giles.html == From marks@u.washington.edu Thu Nov 2 20:29:09 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Thu, 2 Nov 95 20:28:55 -0600; AA14414 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Thu, 2 Nov 95 20:28:53 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa27254; 1 Nov 95 20:25:57 EST Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa27252; 1 Nov 95 20:09:45 EST Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa06685; 1 Nov 95 20:08:23 EST Received: from MAILBOX.SRV.CS.CMU.EDU by B.GP.CS.CMU.EDU id aa12967; 1 Nov 95 19:58:12 EST Received: from carson.u.washington.edu by MAILBOX.SRV.CS.CMU.EDU id aa00877; 1 Nov 95 19:43:53 EST Received: by carson.u.washington.edu (5.65+UW95.10/UW-NDC Revision: 2.33 ) id AA13754; Wed, 1 Nov 95 16:40:55 -0800 Date: Wed, 1 Nov 95 16:40:55 -0800 From: Robert Marks Message-Id: <9511020040.AA13754@carson.u.washington.edu> X-Sender: marks@carson.u.washington.edu To: ai-ed@sun.com, ai-medicine@medmail.Stanford.EDU, biophys@net.bio.net, cbt-general@virginia.edu, clinical-psychology@mailbase.ac.uk, clinical-psychophysiology@mailbase.ac.uk, compumed@sjuvm.stjohns.edu, computers-and-psychology@mailbase.ac.uk, connectionists@MAILBOX.SRV.CS.CMU.EDU, cvnet@skivs.ski.org, cybsys-l@bingvmb.cc.binghamton.edu, dasp-l@earn.cvut.cz, eap@pge.com, human-nets@aramis.rutger.edu, iapsy-l@acsc2.albany.edu, lawson-l@cc.umanitoba.cca, medphys@radonc.duke.edu, neuron@cattell.psych.upenn.edu, nl-kr@cs.rpi.edu, population-biology@net.bio.net, psyc@pucc.princeton.edu, psycgrad@acadvm1.uottowa.ca, qmlist@tbone.biol.sc.edu, vision-list@teleos.com, wiley!ai-chi@lll-lcc.llnl.gov, wisenet@UICVM.CC.UIC.EDU Subject: NN Press Release Cc: marks@ee.washington.edu IEEE Neural Networks Council PRESS RELEASE Detroit, Michigan, November 1, 1995 Awards Committee, IEEE Neural Networks Council 1995 IEEE Neural Networks Council Pioneer Awards Professors Michael A. Arbib and Nils J. Nilsson and Dr. Paul J. Werbos have been selected to receive the 1995 IEEE Neural Networks Council Pioneer Awards. The awards will be presented at the Banquet of the 1995 IEEE International Conference on Neural Networks (ICNN '95) in Perth (at the Tumbulgum Farm), Western Australia, on Thursday November 30, 1995. The IEEE Neural Networks Council Pioneer Awards have been established to recognize and honor the vision of those people whose efforts resulted in significant contributions to the early concepts and developments in the neural networks field. 1995 marks the fifth year for this award, which is to be presented to outstanding individuals for contributions made at least fifteen years earlier. The three individuals receiving Pioneer Awards in 1995 are internationally recognized experts who have made pioneering technical contributions in the neural networks field. The following is a brief description of the awardeesU pioneering contributions that the Pioneer Award recognize and biographies which provide an overview of the distinguished careers of the awardees. Michael A. Arbib pioneered Neural Networks in Australia, writing his first paper on the subject as an undergraduate at Sydney University in 1960, and basing his first book (Brains, Machines and Mathematics, McGraw- Hill 1964) on lectures presented at the University of New South Wales. He is being honored for his pioneering work on the development of a system-theoretic approach to the brain in the early sixties. He has very actively advanced the notion that the brain is not a computer in the recent technological sense, but that we can learn much about brains from studying machines, and much about machines from studying brains. His thoughts have influenced, encouraged, and encharmed many researchers in the field of neural networks. Arbib is Professor of Computer Science, Neurobiology and Physiology, as well as of Biomedical Engineering, Electrical Engineering, and Psychology at the University of Southern California, which he joined in September of 1986. Born in England in 1940, he grew up in Australia where he had earned his B.Sc. (Hons.) from Sydney University. Dr. Arbib later moved to the U.S. where he received his Ph.D. in Mathematics from MIT in 1963, spending two years as a Research Assistant to Warren McCulloch. After five years at Stanford University (as Assistant Professor and later as Associate Professor), he became Chairman of the Department of Computer and Information Science at the University of Massachusetts at Amherst in 1970, and remained in the Department until August of 1986. Dr. Arbib currently directs a major interdisciplinary project on "Neural Plasticity: Data and Computational Structures", integrating studies of the brain with new approaches to databases, visualization, simulation, and the World Wide Web. His own research focuses on mechanisms underlying the coordination of perception and action. The author of twenty books and the editor of eleven more, Arbib has most recently edited The Handbook of Brain Theory and Neural Networks (The MIT Press, 1995). Nils J. Nilsson is being honored with the IEEE Neural Networks Council Pioneer Award for his contribution to the theory of perceptrons and learning machines. His outstanding contribution in the area of neural networks was his 1965 Pioneering book, Learning Machines: Foundations of Trainable Pattern-Classifying Systems. This was the definitive book on the subject during that decade. The book treated algorithms, learning, capacity, and multi-layer perceptrons. He did it in an accessible manner, which influenced a whole decade of research in the area. Nils J. Nilsson is Professor of Computer Science at Stanford University. Born in Saginaw, Michigan, in 1933, Nilsson's early education was in schools in Michigan and Southern California. He attended Stanford University both as an undergraduate and a graduate student and earned M.S. and Ph.D. degrees in Electrical Engineering, in 1956 and 1958, respectively. For three years after his Ph.D., he served as an Air Force lieutenant at the Rome Air Development Center in Rome, New York, where he performed research in radar signal detection. Dr. Nilsson joined SRI International (then called the Stanford Research Institute) in 1961. His early work there was on statistical and neural-network approaches to pattern recognition and led to his influential book Learning Machines: Foundations of Trainable Pattern-Classifying Systems (McGraw- Hill, 1965). Later at SRI, Dr. Nilsson became interested in broader aspects of AI which led to the publication of his two books: Problem Solving Methods in Artificial Intelligence (McGraw-Hill, 1971), and Principles of Artificial Intelligence (Morgan Kaufmann, San Francisco, CA 1980). Dr. Nilsson also led the project that developed the SRI robot RShakeyS and served as the director of the SRI Artificial Intelligence Center for the years 1980 to 1984. Professor Nilsson returned to Stanford in 1985 as the Chairman of the Department of Computer Science, a position he held until August 1990. At Stanford, he coauthored (with Michael Genesereth) the book Logical Foundations of Artificial Intelligence (Morgan Kaufmann, San Francisco, CA 1987). His most recent research is on the problem of combining deliberate (and sometimes slow) robot-reasoning processes with mechanisms for making more rapid, stero-typical responses to dynamic, time-critical situations. He is also interested in applying machine learning and adaptive computation techniques to this problem. Professor Nilsson served as the AI Area Editor for the Journal of the Association for Computing Machinery, is on the editorial board of the journal Artificial Intelligence, and is a past-president and Fellow of the American Association for Artificial Intelligence. He is also a fellow of the American Association for the Advancement of Science and has been elected as a foreign member of the Royal Swedish Academy of Engineering Sciences. He helped found and is on the board of directors of Morgan Kaufmann Publishers, Inc. Paul J. Werbos is being honored for doing much of the ground work, in the early seventies, for what has now emerged as the practical back-propagation learning algorithm in multi-layer networks; and for his continuing and sustained contributions to current advances in neurocontrol. Dr. Werbos holds four degrees from Harvard University and the London School of Economics, covering economics, mathematical physics, decision and control. His 1974 Harvard Ph.D. thesis presented the Rbackpropagation methodS for the first time, permitting the efficient calculation of derivatives and adaptation of all kinds of nonlinear sparse structures, including neural networks; it has been reprinted in its entirety in his book, The Roots of Backpropagation (Wiley, 1994) along with several related seminal and tutorial papers. In these and other more recent papers, he has described how backpropagation may be incorporated into new intelligent control designs with extensive parallels to the structure of the human brain. Dr. Werbos runs the Neuroengineering program and the SBIR Next Generation Vehicle program at the National Science Foundation. He is Past President of the International Neural Network Society, and a member of the IEEE Control and SMC Societies. Prior to NSF, he worked at the University of Maryland and the U.S. Department of Energy. He was born in 1947 near Philadelphia, Pennsylvania. His publications range from neural networks to quantum foundations, energy economics, and issues of consciousness. Mohamad H. Hassoun Professor Department of Electrical and Computer Engineering Wayne State University 5050 Anthony Wayne Drive Detroit, MI 48202 Tel. (313) 577-3920 Fax. (313) 577-1101 From maja@cs.brandeis.edu Fri Nov 3 10:03:23 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Fri, 3 Nov 95 10:03:20 -0600; AA00316 Received: from bilby.cs.uwa.oz.au by lucy.cs.wisc.edu; Fri, 3 Nov 95 10:03:05 -0600 Received: from (mafm@parma.cs.uwa.oz.au [130.95.1.7]) by cs.uwa.oz.au (8.6.8/8.5) with SMTP id OAA06813; Fri, 3 Nov 1995 14:22:34 +0800 Message-Id: <199511030622.OAA06813@cs.uwa.oz.au> From: Maja Mataric To: reinforce@cs.uwa.edu.au Subject: CFP - Adaptive Behavior Journal Date: Thu, 2 Nov 1995 10:31:29 -0500 CALL FOR PAPERS (http://www.cs.brandeis.edu:80/~maja/abj-special-issue/) ADAPTIVE BEHAVIOR Journal Special Issue on COMPLETE AGENT LEARNING IN COMPLEX ENVIRONMENTS Guest editors: Maja J Mataric Submission Deadline: June 1, 1996. Adaptive Behavior is an international journal published by MIT Press; Editor-in-Chief: Jean-Arcady Meyer, Ecole Normale Superieure, Paris. In the last decade, the problems being treated in AI, Alife, and Robotics have witnessed an increase in complexity as the domains under investigation have transitioned from theoretically clean scenarios to more complex dynamic environments. Agents that must adapt in environments such as the physical world, an active ecology or economy, and the World Wide Web, challenge traditional assumptions and approaches to learning. As a consequence, novel methods for automated adaptation, action selection, and new behavior acquisition have become the focus of much research in the field. This special issue of Adaptive Behavior will focus on situated agent learning in challenging environments that feature noise, uncertainty, and complex dynamics. We are soliciting papers describing finished work on autonomous learning and adaptation during the lifetime of a complete agent situated in a dynamic environment. We encourage submissions that address several of the following topics within a whole agent learning system: * learning from ambiguous perceptual inputs * learning with noisy/uncertain action/motor outputs * learning from sparse, irregular, inconsistent, and noisy reinforcement/feedback * learning in real time * combining built-in and learned knowledge * learning in complex environments requiring generalization in state representation * learning from incremental and delayed feedback * learning in smoothly or discontinuously changing environments We invite submissions from all areas in AI, Alife, and Robotics that treat either complete synthetic systems or models of biological adaptive systems situated in complex environments. Submitted papers should be delivered by June 1, 1996. Authors intending to submit a manuscript should contact the guest editor as soon as possible to discuss paper ideas and suitability for this issue. Use maja@cs.brandeis.edu or tel: (617) 736-2708 or fax: (617) 736-2741. Manuscripts should be typed or laser-printed in English (with American spelling preferred) and double-spaced. Both paper and electronic submission are possible, as described below. Copies of the complete Adaptive Behavior Instructions to Contributors are available on request--also see the Adaptive Behavior journal's home page at: http://www.ens.fr:80/bioinfo/www/francais/AB.html. For paper submissions, send five (5) copies of submitted papers (hard-copy only) to: Maja Mataric Volen Center for Complex Systems Computer Science Department Brandeis University Waltham, MA 02254-9110, USA For electronic submissions, use Postscript format, ftp the file to ftp.cs.brandeis.edu/incoming, and send an email notification to maja@cs.brandeis.edu. For a Web page of this call, and detailed ftp directions, see: http://www.cs.brandeis.edu/~maja/abj-special-issue/ \end{document} From marwan@sedal.usyd.edu.AU Fri Nov 3 13:20:49 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Fri, 3 Nov 95 13:20:34 -0600; AA03736 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Fri, 3 Nov 95 13:20:24 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa28423; 2 Nov 95 14:05:24 EST Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa28413; 2 Nov 95 13:39:33 EST Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa07447; 2 Nov 95 13:38:39 EST Received: from RI.CMU.EDU by B.GP.CS.CMU.EDU id aa21394; 2 Nov 95 9:12:46 EST Received: from sedal.sedal.su.OZ.AU by RI.CMU.EDU id aa26622; 2 Nov 95 9:10:36 EST Received: (from marwan@localhost) by sedal.sedal.su.OZ.AU (8.6.9/8.6.9) id BAA08045 for connectionists@cs.cmu.edu; Fri, 3 Nov 1995 01:10:08 +1100 Date: Fri, 3 Nov 1995 01:10:08 +1100 From: "Marwan A. Jabri, Sydney Univ. Elec. Eng., Tel: +61-2 692 2240" Message-Id: <199511021410.BAA08045@sedal.sedal.su.OZ.AU> To: connectionists@cs.cmu.edu Subject: Girling Watson Research Fellowship GIRLING WATSON RESEARCH FELLOWSHIP (Renewable) Reference No. B42/01 Systems Engineering & Design Automation Laboratory Department of Electrical Engineering The University of Sydney Applications are invited for a Girling Watson Research Fellowship at Sydney University Electrical Engineering. The Fellow will work with SEDAL (Systems Engineering and Design Automation Laboratory). SEDAL has research projects on optical character recognition, adiabatic computing, pattern recognition for implantable devices, VLSI implementation of connectionist architectures, intra-cardiac electrogram classification, software and hardware implementations for video-telephony, pattern recognition for cochlear implants, audio localisation and time series prediction. SEDAL collaborates with Australian and multinational companies in many of these research projects. The Fellow should have a PhD and an excellent research background in one of the following areas: Pattern recognition and analysis; connectionist architectures; analog and digital microelectronics; or time series modelling. The Fellow is expected to play a leading role in research, post graduate student supervision and at providing occasional teaching support in his/her area of expertise. The appointment is available for a period of three years. There is the possibility of further offers of employment for another three years, subject to funding and need. Membership of a University approved superannuation scheme is a condition of employment for new appointees. For further information contact Marwan Jabri tel (+61-2) 351 2240, fax 660 1228, Email: marwan@sedal.su.oz.au Salary: Research Fellow $42,198 - $50,111 p.a. Closing: 7 December 1995 Applications should be sent to the Personeel Services at the address below. Applications should quote the reference number B42/01, a CV describing research achievements and the names, addresses, teplephones, fax and email of three referees who can comment on research performance, Personnel Services Academic Group B J13 The University of Sydney NSW 2006 Australia From malaka@ira.uka.de Fri Nov 3 13:20:50 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Fri, 3 Nov 95 13:20:25 -0600; AA03732 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Fri, 3 Nov 95 13:20:21 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa28411; 2 Nov 95 13:55:37 EST Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa28409; 2 Nov 95 13:38:13 EST Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa07437; 2 Nov 95 13:37:28 EST Received: from CS.CMU.EDU by B.GP.CS.CMU.EDU id aa18212; 2 Nov 95 5:11:36 EST Received: from irafs1.ira.uka.de by CS.CMU.EDU id aa12005; 2 Nov 95 5:10:14 EST Received: from irafs2.ira.uka.de (actually irafs2) by irafs1 with SMTP (PP); Thu, 2 Nov 1995 11:10:20 +0000 Received: from ira.uka.de (actually i11s1.ira.uka.de) by irafs2.ira.uka.de with SMTP (PP); Thu, 2 Nov 1995 11:10:04 +0100 To: Connectionists@cs.cmu.edu Subject: (p)reprints and WWW-site on olfactory modelling Date: Thu, 02 Nov 1995 11:09:47 +0100 From: Rainer Malaka Message-Id: <"irafs2.ira.414:02.11.95.10.10.06"@ira.uka.de> Dear connectionists, several re- and preprints on olfactory modelling, classical conditioning and spiking neural networks are available on our WWW-server: http://i11www.ira.uka.de:80/~malaka/publications.html including the following papers: R. Malaka Dynamical odor coding in a model of the antennal lobe. In Proceedings of the International Conference on Artificial Neural Networks (ICANN`95), Paris , volume 2 Abstract: A model for the insect antennal lobe is presented. The model is embedded into a framework covering chemosensory input and associative learning of odors. The resulting dynamic representation of odors in spatio-temporal activity patterns corresponds to response patterns observed in the generalistic olfactory systems. We discuss the meaning of symmetrical and asymmetrical connections and temporal coding for classical conditioning, and demonstrate, that non-converging activity patterns can be learned and discriminated. R. Malaka, M. Hammer (1996), Real-time models of classical conditioning. Submitted to the ICNN`96 conference, Washington Abstract: Real-time models of classical conditioning simulate features of associative learning including its dependence on the timing of stimuli. We present the Sutton/Barto model, the TD model, the CP model, the drive-reinforcement model, and the SOP model in a framework of reinforcement learning rules. The role of eligibility and reinforcement is analyzed and the ability of the models to simulate time-dependent learning (e.g. inhibitory backward conditioning) and other conditioning phenomena is compared. A new model is introduced, that is mathematically simple, and overcomes weaknesses of the other models. This model combines the two antagonistic US traces of the SOP model with the reinforcement term of the TD model. R. Malaka, T. Ragg, M. Hammer (1995) A Model for Chemosensory Reception, In G. Tesauro, D.S. Touretzky, T.K. Leen (eds), Advances in Neural Information Processing Systems, Vol. 7 Abstract: A new model for chemosensory reception is presented. It models reactions between odor molecules and receptor proteins and the activation of second messenger by receptor proteins. The mathematical formulation of the reaction kinetics is transformed into an artificial neural network (ANN). The resulting feed-forward network provides a powerful means for parameter fitting by applying learning algorithms. The weights of the network corresponding to chemical parameters can be trained by presenting experimental data. We demonstrate the simulation capabilities of the model with experimental data from honey bee chemosensory neurons. It can be shown that our model is sufficient to rebuild the observed data and that simpler models are not able to do this task. R. Malaka, U. Koelsch (1994) Pattern Segmentation in Recurrent Networks of Biologically Plausible Neural Elements. In Intelligent Engineering Systems Through Artificial Neural Networks, Vol. 4 Abstract: We introduce a neural network model using spiking neurons. The neuron model is a biological neuron with Hodgkin-Huxley channels. We compare the network's ability of auto-associative pattern recognition with to that of the Hopfield network. The model recognizes patterns by converging into dynamic stable states of synchonous firing activity. This activity can last for arbitrary time or return to a resting activation after stimulus offset. If one presents overlayed patterns to the network, the network is able to separate the components. The single components are encoded by synchronous firing patterns. and some others. Yours, Rainer Malaka ------------------------------------------------------------------------------ Rainer Malaka /| phone: (+49) (721) 608-4212 Universitaet Karlsruhe | | /| fax : (+49) (721) 608-4211 Institut fuer Logik, Komplexitaet /||/ | | csnet: malaka@ira.uka.de und Deduktionssysteme | | /||/ P.O.-Box 6980 |/ | | WWW : D-76128 Karlsruhe, Germany |/ http://i11www.ira.uka.de/~malaka/ ------------------------------------------------------------------------------ From dnoelle@cs.ucsd.edu Fri Nov 3 13:20:55 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Fri, 3 Nov 95 13:20:44 -0600; AA03743 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Fri, 3 Nov 95 13:20:31 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa28778; 2 Nov 95 20:23:15 EST Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa28774; 2 Nov 95 20:08:26 EST Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa07635; 2 Nov 95 20:08:18 EST Received: from EDRC.CMU.EDU by B.GP.CS.CMU.EDU id aa02242; 2 Nov 95 20:03:53 EST Received: from odin.ucsd.edu by EDRC.CMU.EDU id aa15508; 2 Nov 95 20:02:59 EST Received: from beowulf.ucsd.edu by odin.ucsd.edu; id AA18580 sendmail 5.67/UCSDPSEUDO.4-CS via SMTP Thu, 2 Nov 95 17:02:13 -0800 for connectionists@cs.cmu.edu Received: by beowulf (5.67/UCSDPSEUDO.4) id AA22084 for connectionists@cs.cmu.edu; Thu, 2 Nov 95 17:00:49 -0800 Date: Thu, 2 Nov 95 17:00:49 -0800 From: David Noelle Message-Id: <9511030100.AA22084@beowulf> To: connectionists@cs.cmu.edu Subject: Cognitive Science '96 Eighteenth Annual Conference of the COGNITIVE SCIENCE SOCIETY July 12-15, 1996 University of California, San Diego La Jolla, California CALL FOR PAPERS DUE DATE: Thursday, February 1, 1996 The Annual Cognitive Science Conference began with the La Jolla Conference on Cognitive Science in August of 1979. The organizing committee of the Eighteenth Annual Conference would like to welcome members home to La Jolla. We plan to recapture the pioneering spirit of the original conference, extending our welcome to fields on the expanding frontier of Cognitive Science, including Artificial Life, Cognitive and Computational Neuroscience, Evolutionary Psychology, as well as the core areas of Anthropology, Computer Science, Linguistics, Neuroscience, Philosophy, and Psychology. As a change this year, we follow the example of Psychonomics and the Neuroscience Conferences and invite Members of the Society to submit one-page abstracts for guaranteed poster presentation at the conference. A second change is that all papers accepted as posters will only get one page in the proceedings. The conference will feature plenary addresses by invited speakers, invited symposia by leaders in their fields, technical paper and a poster sessions, a banquet, and a Blues Party. San Diego is the home of the world-famous San Diego Zoo and Wild Animal Park, Sea World, the historic all-wooden Hotel Del Coronado, beautiful beaches, mountain areas and deserts, is a short drive from Mexico, and features a high Cappuccino Index. Bring the whole family and stay a while! GUIDELINES FOR PAPER SUBMISSIONS Novel research papers are invited on any topic related to cognition. Members of the Society may submit a one page abstract for poster presentation, which will be automatically accepted for publication in the proceedings. Submitted full-length papers will be evaluated through peer review with respect to several criteria, including originality, quality, and significance of research, relevance to a broad audience of cognitive science researchers, and clarity of presentation. Papers will either be accepted for publication in the proceedings, or (if the author is a Society member) will be accepted as a poster, and a one-page abstract will be published. Such authors will get a chance to flesh out the abstract to a page when submitting their camera ready copy. Poster abstracts from non-members will be accepted, but the presenter should join the Society prior to presenting the poster. Accepted papers will be presented at the conference as talks. Papers may present results from completed research as well as report on current research with an emphasis on novel approaches, methods, ideas, and perspectives. Posters may report on recent work to be published elsewhere that has not been previously presented at the conference. Authors should submit five (5) copies of the paper in hard copy form by Thursday, February 1, 1996, to: Dr. Garrison W. Cottrell Computer Science and Engineering 0114 FED EX ONLY: 3250 Applied Physics and Math University of California San Diego La Jolla, Ca. 92093-0114 phone for FED EX: 619-534-5948 (my secretary, Marie Kreider) If confirmation of receipt is desired, please use certified mail or enclose a self-addressed stamped envelope or postcard. DAVID MARR MEMORIAL PRIZES FOR EXCELLENT STUDENT PAPERS Papers with a student first author are eligible to compete for a David Marr Memorial Prize for excellence in research and presentation. The David Marr Prizes are accompanied by a $300.00 honorarium, and are funded by an anonymous donor. LENGTH Papers must be a maximum of eleven (11) pages long (excluding only the cover page but including figures and references), with 1 inch margins on all sides (i.e., the text should be 6.5 inches by 9 inches, including footnotes but excluding page numbers), double-spaced, and in 12-point type. Each page should be numbered (excluding the cover page). Template and style files conforming to these specifications for several text formatting programs, including LaTeX, Framemaker, Word, Word Perfect, and HTML will be available by anonymous FTP after November 15th, 1995. (Check "http://www.cse.ucsd.edu/events/cogsci96/" for details). Submitted abstracts should be one page in length, with the same margins as full papers. Style files for these will be available at the same location as above. Final versions of papers and poster abstracts will be required only after authors are notified of acceptance; accepted papers will be published in a CD-ROM version of the proceedings. Abstracts will be available before the meeting from a WWW server. Final versions must follow the HTML style guidelines referred to above. This year we will continue to publish the proceedings in two modalities, paper and a CD-ROM version. When the procedures for efficient HTML submission stabilize, we will be switching from paper to CD-ROM publication in order to control escalating costs and permit use of search software. [Comments on this change should be directed to "alan@lrdc4.lrdc.pitt.edu" (Alan Lesgold, Secretary/Treasurer).] COVER PAGE Each copy of the submitted paper must include a cover page, separate from the body of the paper, which includes: 1. Title of paper. 2. Full names, postal addresses, phone numbers, and e-mail addresses of all authors. 3. An abstract of no more than 200 words. 4. Three to five keywords in decreasing order of relevance. The keywords will be used in the index for the proceedings. 5. Preference for presentation format: Talk or poster, talk only, poster only. Poster only submissions should follow paper format, but be no more than 2 pages in this format (final poster abstracts will follow the same 2 column format as papers). Accepted papers will be presented as talks. Submitted posters by Society Members will be accepted for poster presentation, but may, at the discretion of the Program Committee, be invited for oral presentation. Non-members may join the Society at the time of submission. 6. A note stating if the paper is eligible to compete for a Marr Prize. DEADLINE Papers must be received by Thursday, February 1, 1996. Papers received after this date will be recycled. CALL FOR SYMPOSIA In addition to technical papers, posters, plenary sessions, and invited symposia, the conference will accept submitted research symposia. Proposals for symposia are invited and should indicate: 1. A brief description of the topic; 2. How the symposium would address a broad cognitive science audience, and some evidence of interest; 3. Names of symposium organizer(s); 4. List of potential speakers, their topics, and some estimate of their likelihood of participation; 5. Proposed symposium format (designed to last 90 minutes). Symposium proposals should be sent as soon as possible, but no later than January 1, 1996. Abstracts of the symposium talks will be included in the proceedings and must be made available in HTML format, as above. CONFERENCE CHAIRS Edwin Hutchins and Walter Savitch hutchins@cogsci.ucsd.edu savitch@cogsci.ucsd.edu PROGRAM CHAIR Garrison W. Cottrell gary@cs.ucsd.edu From szepes@sol.cc.u-szeged.hu Sat Nov 4 09:55:31 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Sat, 4 Nov 95 09:55:28 -0600; AA17098 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Sat, 4 Nov 95 09:55:25 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa28768; 2 Nov 95 20:14:50 EST Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa28766; 2 Nov 95 20:04:19 EST Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa07610; 2 Nov 95 20:03:28 EST Received: from CS.CMU.EDU by B.GP.CS.CMU.EDU id ag01960; 2 Nov 95 19:51:39 EST Received: from [160.114.8.24] by CS.CMU.EDU id aa04594; 2 Nov 95 17:59:05 EST Received: from kuvasz (kuvasz.math.u-szeged.hu) by sol.cc.u-szeged.hu (5.0/SMI-SVR4) id AA22334; Thu, 2 Nov 1995 14:03:19 +0100 Message-Id: <9511021303.AA22334@sol.cc.u-szeged.hu> Sender: szepes@sol.cc.u-szeged.hu Mmdf-Warning: Parse error in original version of preceding line at DST.BOLTZ.CS.CMU.EDU From: Csaba Szepesvari To: connectionists@cs.cmu.edu Date: Thu, 2 Nov 1995 14:02:44 +0000 Subject: PA: Approximate Geometry Representations and Sensory Fusion Priority: normal X-Mailer: Pegasus Mail/Windows (v1.22) Content-Length: 0 *****************Pre-print Available via FTP ******************* URL ftp:// iserv.iki.kfki.hu/pub/papers/szepes.fusion.ps.Z WWW http://iserv.iki.kfki.hu/adaptlab.html Title: Approximate Geometry Representations and Sensory Fusion Keywords: self-organizing networks, sensory fusion, geometry representation, topographical mapping, Kohonen network Csaba Szepesvari^* Andras Lorincz Adaptive Systems Laboratory, Insitute of Isotopes, Hungarian Academny of Sciences *Bolyai Institute of Mathematics, Jozsef Attila University of Szeged Knowledge of the geometry of the world external to a system is essential in cases such as navigation when for predicting the trajectories of moving objects. It may also play a role in recognition tasks, particularly when the procedures used for image segmentation and feature extraction utilize information on the geometry. A more abstract example is function approximation, where this information is used to create better interpolation. This paper summarizes the recent advances in the theory of self-organizing development of approximate geometry representations based on the use of neural networks. Part of this work is based on the theoretical approach of (Szepesvari, 1993), which is different from that of (Martinetz, 1993) and also is somewhat more general. The Martinetz approach treats signals provided by artificial neuron-like entities whereas the present work uses the entities of the external world as its starting point. The relationship between the present work and the Martinetz approach will be detailed. We approach the problem of approximate geometry representations by first examining the problem of sensory fusion, i.e., the problem of fusing information from different transductors. A straightforward solution is the simultaneous discretization of the output of all transductors, which means the discretization of a space defined as the product of the individual transductor output spaces. However, the geometry relations are defined for the **external world** only, so it is still an open question how to define the metrics on the product of output spaces. It will be shown that **simple Hebbian learning** can result in the formation of a correct geometry representation. Some mathematical considerations will be presented to help us clarify the underlying concepts and assumptions. The mathematical framework gives rise to a corollary on the "topographical mappings" realized by Kohonen networks. In fact, the present work as well as (Martinetz, 1993) may be considered as a generalization of Kohonen's topographic maps. We develop topographic maps with self-organizing interneural connections. *****************Pre-print Available via FTP ******************* ========================================================================== Csaba Szepesvari ---------------------------------------+---------------------------------- Bolyai Institute of Mathematics |e-mail: szepes@math.u-szeged.hu "Jozsef Attila" University of Szeged |http://www.inf.u-szeged.hu/~szepes Szeged 6720 | Aradi vrt tere 1. | HUNGARY | Tel.: (36-62) 311-622/3706 |phone at home (tel/fax): Tel/Fax: (36-62) 326-246 | (36-62) 494-225 ---------------------------------------+---------------------------------- From Dave_Touretzky@DST.BOLTZ.CS.CMU.EDU Sat Nov 4 16:13:03 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Sat, 4 Nov 95 16:13:00 -0600; AA19670 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Sat, 4 Nov 95 16:12:58 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa00980; 4 Nov 95 5:21:36 EST Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa00978; 4 Nov 95 5:08:59 EST Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa09312; 4 Nov 95 5:08:28 EST Received: from DST.BOLTZ.CS.CMU.EDU by B.GP.CS.CMU.EDU id aa29980; 4 Nov 95 5:07:19 EST Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa09297; 4 Nov 95 5:06:57 EST To: Connectionists@cs.cmu.edu Reply-To: Dave_Touretzky@cs.cmu.edu Subject: Neural Processes in Cognition training program Date: Sat, 04 Nov 95 05:06:55 EST Message-Id: <9295.815479615@DST.BOLTZ.CS.CMU.EDU> From: Dave_Touretzky@DST.BOLTZ.CS.CMU.EDU Applications are being accepted for both pre- and postdoctoral training in Neural Processes in Cognition, a joint program of the Center for the Neural Basis of Cognition operated by the University of Pittsburgh, its School of Medicine, and Carnegie Mellon University. This is an interdisciplinary program investigating the neurobiology of cognition, and utilizing neuroanatomical, neurophysiological, behavioral, and computer simulation techniques. Some of the departments offering training as part of the Neural Processes in Cognition program are: CMU: Psychology, Computer Science, Biological Sciences, Robotics University of Pittsburgh: Psychology, Neuroscience, Neurobiology, Mathematics, Information Science, Radiology, Neurology Research facilities include: computerized microscopy, human and animal electrophysiological instrumentation, behavioral assessment laboratories, brain imaging, the Pittsburgh Supercomputing Center, and access to human clinical populations. The application deadline is February 1, 1996. Additional details about the Center for the Neural Basis of Cognition, the Neural Processes in Cognition program, and how to apply to the program can be found on the World-Wide Web: http://neurocog.lrdc.pitt.edu/npc/ http://www.cs.cmu.edu/Web/Groups/CNBC/CNBC.html For more information contact: Professor Walter Schneider University of Pittsburgh 3939 O'Hara Street Pittsburgh, PA 15260 tel. 412-624-7061 E-mail: NEUROCOG@PITTVMS.BITNET From steven.young@psy.ox.ac.uk Sat Nov 4 16:13:04 1995 Received: from lucy.cs.wisc.edu by sea.cs.wisc.edu; Sat, 4 Nov 95 16:12:58 -0600; AA19668 Received: from TELNET-1.SRV.CS.CMU.EDU by lucy.cs.wisc.edu; Sat, 4 Nov 95 16:12:56 -0600 Received: from TELNET-1.SRV.CS.CMU.EDU by telnet-1.srv.cs.CMU.EDU id aa29862; 3 Nov 95 15:09:30 EST Received: from DST.BOLTZ.CS.CMU.EDU by TELNET-1.SRV.CS.CMU.EDU id aa29860; 3 Nov 95 14:46:04 EST Received: from DST.BOLTZ.CS.CMU.EDU by DST.BOLTZ.CS.CMU.EDU id aa08520; 3 Nov 95 14:45:57 EST Received: from RI.CMU.EDU by B.GP.CS.CMU.EDU id aa12888; 3 Nov 95 9:46:22 EST Received: from [163.1.2.1] by RI.CMU.EDU id aa01718; 3 Nov 95 9:45:07 EST Received: from cogsci1.psych.ox.ac.uk by oxmail2 with SMTP (PP); Fri, 3 Nov 1995 14:40:45 +0000 Received: from cogsci2.psych.ox.ac.uk (cogsci2.psych.ox.ac.uk [163.1.29.212]) by cogsci1.psych.ox.ac.uk (8.6.11/8.6.12) with ESMTP id OAA11102; Fri, 3 Nov 1995 14:40:39 GMT From: Steven Young Received: (young@localhost) by cogsci2.psych.ox.ac.uk (8.6.11/8.6.12) id OAA04054; Fri, 3 Nov 1995 14:40:38 GMT Message-Id: <199511031440.OAA04054@cogsci2.psych.ox.ac.uk> Subject: Oxford Summer School on Connectionist Modelling To: connectionists@cs.cmu.edu, dev-europe@durham.ac.uk, info-childs@poppy.psy.cmu.edu, psyling@psy.gla.ac.uk, psyc@pucc.princeton.edu, neuron@cattell.psych.upenn.edu Date: Fri, 3 Nov 1995 14:40:37 +0000 (GMT) Cc: Steven.Young@psy.ox.ac.uk, Susan.King@psy.ox.ac.uk, Kim.Plunkett@psy.ox.ac.uk, Edmund.Rolls@psy.ox.ac.uk X-Mailer: ELM [version 2.4 PL24] Mime-Version: 1.0 Content-Type: text/plain; charset=US-ASCII Content-Transfer-Encoding: 7bit Content-Length: 2735 The call for participation for the 1996 Oxford Summer School on Connectionist Modelling follows. Please pass on this information to people you know you would be interested. -------- OXFORD SUMMER SCHOOL ON CONNECTIONIST MODELLING Department of Experimental Psychology University of Oxford 21 July - 2nd August 1996 Applications are invited for participation in a 2-week residential Summer School on techniques in connectionist modelling. The course is aimed primarily at researchers who wish to exploit neural network models in their teaching and/or research and it will provide a general introduction to connectionist modelling through lectures and exercises on Power PCs. The course is interdisciplinary in content though many of the illustrative examples are taken from cognitive and developmental psychology, and cognitive neuroscience. The instructors with primary responsibility for teaching the course are Kim Plunkett and Edmund Rolls. No prior knowledge of computational modelling will be required though simple word processing skills will be assumed. Participants will be encouraged to start work on their own modelling projects during the Summer School. The cost of participation in the Summer School is #750 to include accommodation (bed and breakfast at St. John's College) and registration. Participants will be expected to cover their own travel and meal costs. A small number of graduate student scholarships providing partial funding may be available. Applicants should indicate whether they wish to be considered for a graduate student scholarship but are advised to seek their own funding as well, since in previous years the number of graduate student applications has far exceeded the number of scholarships available. There is a Summer School World Wide Web page describing the contents of the 1995 Summer School available on: http://cogsci1.psych.ox.ac.uk/summer-school/ Further information about contents of the course can be obtained from Steven.Young@psy.ox.ac.uk If you are interested in participating in the Summer School, please contact: Mrs Sue King Department of Experimental Psychology University of Oxford South Parks Road Oxford OX1 3UD Tel: (01865) 271353 Email: susan.king@psy.oxford.ac.uk Please send a brief description of your background with an explanation of why you would like to attend the Summer School (one page maximum) no later than 31st January 1996. Regards, Steven Young. -- Facility for Computational Modelling in Cognitive Science McDonnell-Pew Centre for Cognitive Neuroscience, Oxford