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Date: Mon, 16 Sep 1996 09:05:02 -0400
From: CAS/CNS <cas-cns@cns.bu.edu>
To: cas-cns@cns.bu.edu
Subject: Grad Training - BU Cognitive & Neural Systems
Organization: Boston University - Dept. of Cognitive & Neural Systems
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*************************************************************************

GRADUATE TRAINING IN THE 
DEPARTMENT OF COGNITIVE AND NEURAL SYSTEMS (CNS) 
AT BOSTON UNIVERSITY

*************************************************************************

The Boston University Department of Cognitive and Neural Systems
offers comprehensive graduate training in the neural and
computational principles, mechanisms, and architectures that
underlie human and animal behavior, and the application of
neural network architectures to the solution of technological
problems.

Applications for Fall, 1997, admission and financial aid are now
being accepted for both the MA and PhD degree programs.

To obtain a brochure describing the CNS Program and a set of
application materials, write, telephone, or fax:

DEPARTMENT OF COGNITIVE AND NEURAL SYSTEMS 
Boston University
677 Beacon Street
Boston, MA 02215

617/353-9481 (phone) 
617/353-7755 (fax)

or send via email your full name and mailing address to:

rll@cns.bu.edu  (Ms. Robin L. Locke)

Applications for admission and financial aid should be received
by the Graduate School Admissions Office no later than January
15.  Late applications will be considered until May 1; after
that date applications will be considered only as special cases.

Applicants are required to submit undergraduate (and, if
applicable, graduate) transcripts, three letters of
recommendation, and Graduate Record Examination (GRE) scores.
The Advanced Test should be in the candidate's area of
departmental specialization. GRE scores may be waived for MA
candidates and, in exceptional cases, for PhD candidates, but
absence of these scores may decrease an applicant's chances for
admission and financial aid.

Non-degree students may also enroll in CNS courses on a
part-time basis.

Stephen Grossberg, Chairman 
Gail A. Carpenter, Director of Graduate Studies

Description of the CNS Department:

The Department of Cognitive and Neural Systems (CNS) provides
advanced training and research experience for graduate students
interested in the neural and computational principles,
mechanisms, and architectures that underlie human and animal
behavior, and the application of neural network architectures to
the solution of outstanding technological problems. Students are
trained in a broad range of areas concerning cognitive and
neural systems, including vision and image processing; speech
and language understanding; adaptive pattern recognition;
cognitive information processing; self-organization; associative
learning and long-term memory; cooperative and competitive
network dynamics and short-term memory; reinforcement,
motivation, and attention; adaptive sensory-motor control and
robotics; and biological rhythms; as well as the mathematical
and computational methods needed to support advanced modeling
research and applications. The CNS Department awards MA, PhD,
and BA/MA degrees.

The CNS Department embodies a number of unique features. It has
developed a curriculum that consists of interdisciplinary
graduate courses, each of which integrates the psychological,
neurobiological, mathematical, and computational information
needed to theoretically investigate fundamental issues
concerning mind and brain processes and the applications of
neural networks to technology. Additional advanced courses,
including research seminars, are also offered. Each course is
typically taught once a week in the afternoon or evening to make
the program available to qualified students, including working
professionals, throughout the Boston area. Students develop a
coherent area of expertise by designing a program that includes
courses in areas such as biology, computer science, engineering,
mathematics, and psychology, in addition to courses in the CNS
curriculum.

The CNS Department prepares students for thesis research with
scientists in one of several Boston University research centers
or groups, and with Boston-area scientists collaborating with
these centers. The unit most closely linked to the department is
the Center for Adaptive Systems.  Students interested in neural
network hardware work with researchers in CNS, at the College of
Engineering, and at MIT Lincoln Laboratory.  Other research
resources include distinguished research groups in
neurophysiology, neuroanatomy, and neuropharmacology at the
Medical School and the Charles River Campus; in sensory
robotics, biomedical engineering, computer and systems
engineering, and neuromuscular research within the Engineering
School; in dynamical systems within the Mathematics Department;
in theoretical computer science within the Computer Science
Department; and in biophysics and computational physics within
the Physics Department.

In addition to its basic research and training program, the
department conducts a seminar series, as well as conferences and
symposia, which bring together distinguished scientists from
both experimental and theoretical disciplines.

The department is housed in its own new four story building which
includes ample space for faculty and student offices and
laboratories, as well as an auditorium, classroom and seminar
rooms, library, and faculty-student lounge.

1996-97 CAS MEMBERS and CNS FACULTY:

Jelle Atema
Professor of Biology
Director, Boston University Marine Program (BUMP) 
PhD, University of Michigan 
Sensory physiology and behavior

Aijaz Baloch 
Research Associate of Cognitive and Neural Systems
PhD, Electrical Engineering, Boston University 
Neural modeling of role of visual attention of recognition,
learning and motor control, computational vision, adaptive
control systems, reinforcement learning

Helen Barbas 
Associate Professor, Department of Health Sciences
PhD, Physiology/Neurophysiology, McGill University 
Organization of the prefrontal cortex, evolution of the neocortex

Jacob Beck 
Research Professor of Cognitive and Neural Systems
PhD, Psychology, Cornell University 
Visual perception, psychophysics, computational models

Daniel H. Bullock 
Associate Professor of Cognitive and Neural Systems and Psychology 
PhD, Psychology, Stanford University
Real-time neural systems, sensory-motor learning and control,
evolution of intelligence, cognitive development

Gail A. Carpenter 
Professor of Cognitive and Neural Systems and Mathematics 
Director of Graduate Studies
Department of Cognitive and Neural Systems 
PhD, Mathematics, University of Wisconsin, Madison 
Pattern recognition, categorization, machine learning,
differential equations

Laird Cermak 
Professor of Neuropsychology, School of Medicine 
Professor of Occupational Therapy, Sargent College 
Director, Memory Disorders Research Center
Boston Veterans Affairs Medical Center 
PhD, Ohio State University
Memory disorders

Michael A. Cohen 
Associate Professor of Cognitive and Neural Systems 
and Computer Science 
Director, CAS/CNS Computation Labs
PhD, Psychology, Harvard University 
Speech and language processing, measurement theory, neural
modeling, dynamical systems

H. Steven Colburn 
Professor of Biomedical Engineering 
PhD, Electrical Engineering, Massachusetts Institute of Technology
Audition, binaural interaction, signal processing models of
hearing

William D. Eldred III 
Associate Professor of Biology
PhD, University of Colorado, Health Science Center 
Visual neural biology

Paolo Gaudiano 
Assistant Professor of Cognitive and Neural Systems 
PhD, Cognitive and Neural Systems, Boston University
Computational and neural models of robotics, vision, adaptive
sensory-motor control, and behavioral neurobiology

Jean Berko Gleason 
Professor of Psychology 
PhD, Harvard University 
Psycholinguistics

Douglas Greve 
Research Associate of Cognitive and Neural Systems
PhD, Cognitive and Neural Systems, Boston University
Active vision

Stephen Grossberg 
Wang Professor of Cognitive and Neural Systems
Professor of Mathematics, Psychology, and Biomedical Engineering
Director, Center for Adaptive Systems 
Chairman, Department of Cognitive and Neural Systems 
PhD, Mathematics, Rockefeller University 
Theoretical biology, theoretical psychology, dynamical systems, 
applied mathematics

Frank Guenther 
Assistant Professor of Cognitive and Neural Systems 
PhD, Cognitive and Neural Systems, Boston University
Biological sensory-motor control, spatial representation, 
speech production

Thomas G. Kincaid 
Professor of Electrical, Computer and Systems Engineering
PhD, Electrical Engineering, Massachusetts Institute of Technology 
Signal and image processing, neural networks, non-destructive 
testing

Nancy Kopell 
Professor of Mathematics 
PhD, Mathematics, University of California at Berkeley 
Dynamical systems, mathematical physiology, pattern formation in
biological/physical systems

Ennio Mingolla
Associate Professor of Cognitive and Neural Systems and Psychology 
PhD, Psychology, University of Connecticut 
Visual perception, mathematical modeling of visual processes

Alan Peters 
Chairman and Professor of Anatomy and Neurobiology, School of Medicine 
PhD, Zoology, Bristol University, United Kingdom 
Organization of neurons in the cerebral cortex, effects of aging
on the primate brain, fine structure of the nervous system

Andrzej Przybyszewski 
Senior Research Associate of Cognitive and Neural Systems 
PhD, Warsaw Medical Academy
Retinal physiology, mathematical and computer modeling of
dynamical properties of neurons in the visual system

Adam Reeves
Adjunct Professor of Cognitive and Neural Systems
Professor of Psychology, Northeastern University 
PhD, Psychology, City University of New York 
Psychophysics, cognitive psychology, vision

Mark Rubin 
Research Assistant Professor of Cognitive and Neural Systems 
Research Physicist, Naval Air Warfare Center, China Lake, CA (on leave) 
PhD, Physics, University of Chicago 
Neural networks for vision, pattern recognition, and motor control

Robert Savoy 
Adjunct Associate Professor of Cognitive and Neural Systems 
Scientist, Rowland Institute for Science 
PhD, Experimental Psychology, Harvard University 
Computational neuroscience; visual psychophysics of color, form, and 
motion perception

Eric Schwartz 
Professor of Cognitive and Neural Systems; Electrical, Computer and 
Systems Engineering; and Anatomy and Neurobiology 
PhD, High Energy Physics, Columbia University 
Computational neuroscience, machine vision, neuroanatomy, neural 
modeling

Robert Sekuler 
Adjunct Professor of Cognitive and Neural Systems
Research Professor of Biomedical Engineering, College of Engineering, 
BioMolecular Engineering Research Center 
Jesse and Louis Salvage Professor of Psychology, Brandeis University 
Sc.M., PhD, Brown University

Barbara Shinn-Cunningham
Assistant Professor of Cognitive and Neural Systems
PhD, Electrical Engineering and Computer Science, Massachusetts
Institute of Technology
Psychoacoustics, audition, auditory localization, binaural hearing,
sensorimotor adaptation, mathematical models of human performance

Takeo Watanabe
Assistant Professor of Psychology
PhD, Behavioral Sciences, University of Tokyo
Perception of objects and motion and effects of attention on perception
using psychophysics and brain imaging (f-MRI)

Allen Waxman 
Adjunct Associate Professor of Cognitive and Neural Systems 
Senior Staff Scientist, MIT Lincoln Laboratory 
PhD, Astrophysics, University of Chicago 
Visual system modeling, mobile robotic systems, parallel computing, 
optoelectronic hybrid architectures

James Williamson 
Research Associate of Cognitive and Neural Systems 
PhD, Cognitive and Neural Systems, Boston University
Image processing and object recognition.  Particular interests are: 
dynamic binding, self-organization, shape representation, and 
classification

Jeremy Wolfe 
Adjunct Associate Professor of Cognitive and Neural Systems 
Associate Professor of Ophthalmology, Harvard Medical School 
Psychophysicist, Brigham & Women's Hospital, Surgery Dept. 
Director of Psychophysical Studies, Center for Clinical Cataract Research 
PhD, Massachusetts Institute of Technology
Visual search

*************************************************************************

DEPARTMENT OF COGNITIVE AND NEURAL SYSTEMS GRADUATE TRAINING ANNOUNCEMENT

Boston University
677 Beacon Street
Boston, MA 02215

Phone: 617/353-9481 
Fax:   617/353-7755 
Email: rll@cns.bu.edu 

*************************************************************************
From Jon.Baxter@keating.anu.edu.au Tue Sep 17 05:17:37 1996
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From: Jonathan Baxter <Jon.Baxter@keating.anu.edu.au>
Message-Id: <199609170203.MAA01701@keating.anu.edu.au>
Subject: Re: [arthur@mail4.ai.univie.ac.at: TR: Limitations of SOM]
To: connectionists@cs.cmu.edu
Date: Tue, 17 Sep 1996 12:03:05 +1000 (EST)
Cc: Jonathan Baxter <jon@keating.anu.edu.au>
In-Reply-To: <9609110045.AA03818@peduncle.ai.mit.edu> from "Shimon Edelman" at Sep 10, 96 08:45:09 pm
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Commenting on this paper:

> > Flexer A.: Limitations of self-organizing maps for vector quantization and
> >    multidimensional scaling, to appear in: Advances in Neural Information
> >    Processing Systems 9, edited by M.C. Mozer, M.I. Jordan, and T. Petsche,
> >    available in 1997.

Shimon Edelman said:

> 
> Seeing that comments are welcome... there seems to be a rather glaring
> gap in the references in this TR. Fukunaga proposed a similar
> combination of clustering and topology-preservation criteria in 1972,
> and there was a recent paper by Webb following up on that work. 
> 
> It would have been nice to see Baxter's idea of Canonical Vector
> Quantization discussed in this context.

If anyone is interested, there is a recent version (July 1996) of the Canonical
Quantization paper on my home page:

http://keating.anu.edu.au/~jon/papers/canonical.ps.gz

Title: The Canonical Distortion Measure for Vector Quantization and
Approximation.  
Author: Jonathan Baxter 
Abstract: 

To measure the quality of a set of vector quantization points a means
of measuring the distance between a random point and its quantization
is required. Common metrics such as the {\em Hamming} and {\em
Euclidean} metrics, while mathematically simple, are inappropriate for
comparing speech signals or images. In this paper it is shown how an
{\em environment} of functions on an input space $X$ induces a {\em
canonical distortion measure} (CDM) on X.  The depiction ``canonical''
is justified because it is shown that optimizing the reconstruction
error of X with respect to the CDM gives rise to optimal piecewise
constant approximations of the functions in the environment. The CDM
is calculated in closed form for several different function classes.
An algorithm for training neural networks to implement the CDM is
presented along with some encouraging experimental results.

-------------
Jonathan Baxter	
Department of Systems Engineering
Research School of Information Science and Technology
Australian National University
Canberra, A.C.T 0200
Australia 
Tel: +61 6 249 5182
Fax: +61 6 279 8088
E-mail: jon@syseng.anu.edu.au
From gorr@willamette.edu Tue Sep 17 22:48:02 1996
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From: Jenny Orr <gorr@willamette.edu>
Message-Id: <199609171832.LAA01053@mirror.willamette.edu>
To: Connectionists@cs.cmu.edu
Subject: NIPS*96 Postconference Workshop
Cc: gorr@willamette.edu
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                         CALL FOR SPEAKERS

                   NIPS*96 Postconference Workshop 

        TRICKS OF THE TRADE: How to Make Algorithms REALLY Work

                   Snowmass (Aspen), Colorado USA
                        Saturday Dec 7th, 1996


ORGANIZERS:

   Jenny Orr        Willamette University     gorr@willamette.edu
   Klaus Muller     GMD First,  Germany	      klaus@first.gmd.de
   Rich Caruana     Carnegie Mellon           caruana@cs.cmu.edu


OBJECTIVES:

Using neural networks to solve difficult problems often requires as
much art as science.  Researchers and practitioners acquire, through
experience and word-of-mouth, techniques and heuristics that help them
succeed.  Often these ``tricks'' are theoretically well motivated.
Sometimes they're the result of trial and error.  In this workshop we
ask you to share the ``tricks'' you have found helpful. Our focus will
be mainly regression and classification.


WHAT IS A TRICK?

A technique, rule-of-thumb, or heuristic that:

   - is easy to describe and understand
   - can make a real difference in practice
   - is not (yet) part of well documented  technique
   - has broad application
   - may or may not (yet) have a theoretical explanation

Examples of well known tricks include: early stopping, using symmetric
sigmoids, on-line calculation of the largest eigenvalue of the Hessian
without computing the hessian to determine optimal learning speed, ...


POTENTIAL TOPICS:

 - architecture design: picking layers, nodes, connectivity, 
                        modularity, activation functions, ...

 - model parameters &   learning rates, momentum, annealing schedules,
   speeding learning:   on-line, batch, conjugate gradient,
                        approximating the Hessian, ...

 - training/test sets:  sizes, dealing with too much/little data, 
                        noisy and/or missing data, active sampling,
                        skewed samples, ...

 - generalization:      which smoothers/regularizers to use and when 
                        to use them, network capacity, learning rate, 
                        net initialization, output representation,
                        SSE vs. cross-entropy, ...

 - training problems:   symmetry breaking, bootstrapping large nets, 
                        no negative instances, ...



WORKSHOP FORMAT:

Our goal is to create an enjoyable, quick moving one-day workshop with
lot's of ideas and discussion.  Each three-hour session will have 5-10
short presentations (10 mins max) and 1-2 longer presentations (30
mins max).  The long presentations will allow speakers to present
collections of ``tricks'' focussed on particular topics such as how to
speed up backprop, when and what regularization to use, ...  The short
presentations will give the rest of us an opportunity to present
isolated ``tricks'' with a minimum of presentation overhead.  To help
keep things "light", we ask that short presentations use 5 or fewer
slides.


SUBMISSIONS:

We already have a number of speakers lined up (see below), but we are
looking for more contributions.  If you'd like to give a presentation,
please email a short (1 page or less) description of the trick(s) to
gorr@willamette.edu.  If you wish to discuss a single trick, the total
presentation time will be 10 minutes, or less.  If you wish to discuss
a group of related tricks, please say so and briefly describe all the
tricks, and the total presentation should be 20-30 minutes, or less.

We will review the submissions and include as many as there is time
for in the schedule.  If possible, please discuss what the trick is
used for, when it is and is not applicable, sample problems you have
used it on, how well it seems to work in practice, and any explanation
you have, theoretical or otherwise, for why it seems to work.  Keep in
mind that this is a workshop, and "tricks" do not have to be fully
fleshed out methods with rigorous theoretical or empirical evidence.
If you've found a technique that's sometimes useful, the odds are
others will find it interesting and useful, too.  In order to list
your presentation in the workshop brochure, we need to have the title
and abstract by September 27.

IMPORTANT DATES:

Deadline for listing title in workshop brochure:   27 September, 1996
Final Deadline for submission of abstracts:         7 October, 1996
Notification of acceptance:         	           15 October, 1996 


FOLLOW-UP TO WORKSHOP:

To help insure that presenters get credit for divulging their tricks,
we'll ask presenters to prepare concise, one page write-ups of their
tricks.  These will be compiled into a report and/or published on the
web and made available to anyone interested.  Tricks that as yet have
no known theoretical explanation will be grouped together to form a
set of open problems.  We are also considering the possibility of
publishing a collection of tricks as a short book or special journal
issue.


CONFIRMED SPEAKERS:

Yann LeCun, 
Larry Yaeger
Hans Georg Zimmermann
Patrice Simard
Eric Wan
Rich Caruana
Nici Schraudolph
Shumeet Baluja
David Cohn


General info about the Postconference workshops can be found on the
NIPS homepage: http://www.cs.cmu.edu/afs/cs.cmu.edu/Web/Groups/NIPS/

If you have any questions about this workshop, don't hesitate to
contact one of the organizers.  We look forward to seeing you in
Snowmass!

-Jenny, Klaus, and Rich.


TOP-TEN REASONS WHY YOU SHOULD PRESENT A TRICK:

10: someone should get credit for the tricks we all end up using, 
    it might as well be you  (who's responsible for early stopping?)
 9: so you can bond with others who discovered the same trick
 8: because you couldn't get it on Letterman's Stupid Human Tricks
 7: no one will believe you're an expert if you don't use tricks
 6: your trick sucks, but you'll feel better using the other tricks
    you learn if you present something
 5: so you show everyone how very clever you are
 4: because you'll feel more comfortable using an unsupported trick
    if you can get others to use it, too
 3: so those of us who see flaws in your tricks can flame you alive
 2: you'll feel less guilty skiing if you present something at a 
    workshop
 1: because you really don't want to write a whole paper about it

From greiner@scr.siemens.com Tue Sep 17 22:48:10 1996
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Date: Tue, 17 Sep 1996 14:54:17 -0400 (EDT)
Message-Id: <199609171854.OAA28363@eagle.scr.siemens.com>
From: Russell Greiner <greiner@scr.siemens.com>
To: ml@ics.uci.edu, colt@cs.uiuc.edu, uai@maillist.cs.orst.edu,
        connectionists@cs.cmu.edu, dbworld@cs.wisc.edu,
        ai-stats@watstat.uwaterloo.ca
Subject: Research/Development Position
CC: blanz@as1.scr.siemens.com


The Adaptive Information and Signal Processing Department at
Siemens Corporate Research, Inc. (SCR) in Princeton, New Jersey has 
immediate openings for research and development personnel with 
experience in one or more of these areas:
	machine learning
	expert systems (and other areas of AI)
	adaptive signal processing
	fuzzy logic
	user agents
	neural networks
	intelligent control

To qualify for one of these positions, you should have a PhD with
proven experience in one of the above named areas and a strong
interest in applied research and development aimed at delivering
working prototypes and products to Siemens companies.  You must have
very good software development skills including C or C++.  Windows API
or OLE is a plus.

Siemens is a world-wide company with sales of more than $60billion and
world-wide employment of almost 400,000.  In the US, Siemens has sales
of $6billion and almost 40,000 employees.

Siemens Corporate Research, Inc. employs approximately 140 technical
staff with an emphasis on imaging, multimedia, software engineering
and adaptive systems.  SCR's mission is to provide technical expertise
to develop solutions for Siemens operating companies and groups.

Siemens is an Equal Opportunity Employer.

If interested, do **NOT** reply to this message.  Send your resume to:

   Russell Greiner
   Siemens Corporate Research Inc.
   755 College Road East
   Princeton, NJ  08540
From oreilly@flies.mit.edu Tue Sep 17 22:48:14 1996
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Date: Tue, 17 Sep 1996 16:20:47 -0500
Message-Id: <199609172120.QAA22328@flies.mit.edu>
From: "Randall O'Reilly" <oreilly@flies.mit.edu>
To: connectionists@cs.cmu.edu
Subject: PhD Thesis Available
Reply-To: oreilly@ai.mit.edu


My PhD thesis is avialable for anonymous ftp downloading:

ftp://hydra.psy.cmu.edu/pub/user/oreilly/oreilly_thesis.tar.gz

it is 1,085,460 bytes and un-tars into roughly 6 meg of under 1 meg
postscript files.

--------------------------

The LEABRA Model of Neural Interactions and Learning in the Neocortex

			 Randall C. O'Reilly

	       Center for the Neural Basis of Cognition
		       Department of Psychology
		      Carnegie Mellon University

There is evidence that the specialized neural processing systems in
the neocortex, which are responsible for much of human cognition,
arise from the action of a relatively general-purpose learning
mechanism.  I propose that such a neocortical learning mechanism can
be best understood as the combination of error-driven and
self-organizing (Hebbian associative) learning.  This model of
neocortical learning, called LEABRA (local, error-driven and
associative, biologically realistic algorithm), is computationally
powerful, has important implications for psychological models, and is
biologically feasible.  The thesis begins with an evaluation of the
strengths and limitations of current neural network learning
algorithms as models of a neocortical learning mechanism according to
psychological, biological, and computational criteria.  I argue that
error-driven (e.g., backpropagation) learning is a reasonable
computational and psychological model, but it is biologically
implausible.  I show that backpropagation can be implemented in a
biologically plausible fashion by using interactive (bi-directional,
recurrent) activation flow, which is known to exist in the neocortex,
and has been important for accounting for psychological data.
However, the interactivity required for biological and psychological
plausibility significantly impairs the ability to respond
systematically to novel stimuli, making it still a bad psychological
model (e.g., for nonword reading).  I propose that the neocortex
solves this problem by using inhibitory activity regulation and
Hebbian associative learning, the computational properties of which
have been explored in the context of self-organizing learning models.
I show that by introducing these properties into an interactive
(biologically plausible) error-driven network, one obtains a model of
neocortical learning that: 1) provides a clear computational role for
a number of biological features of the neocortex; 2) behaves
systematically on novel stimuli, and exhibits transfer to novel tasks;
3) learns rapidly in networks with many hidden layers; 4) provides
flexible access to learned knowledge; 5) shows promise in accounting
for psychological phenomena such as the U-shaped curve in
over-regularization of the past-tense inflection; 6) has a number of
other nice properties.

---------------------------------------------
Note that I am now doing a postdoc at at MIT: 

Center for Biological and Computational Learning
Department of Brain and Cognitive Sciences
E25-210, MIT
Cambridge, MA 02139
oreilly@ai.mit.edu
From amilcar@eden.dei.uc.pt Wed Sep 18 00:27:48 1996
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Message-Id: <199609180309.LAA22975@cs.uwa.oz.au>
From: amilcar@eden.dei.uc.pt (Amilcar Cardoso)
To: addistr@sis.port.ac.uk, Afcet.Administration@ibp.fr,
        ai-stats@watstat.uwaterloo.ca, alife@cognet.ucla.edu,
        annrules@fit.qut.edu.au, cogpsy@neuro.psy.soton.ac.uk,
        colt@cs.uiuc.edu (COLT list), connectionists@cs.cmu.edu,
        dietmar@cognition.iig.uni-freiburg.de (European CBR Newsletter),
        genetic-programming@cs.stanford.edu, hybrid-list@cs.ua.edu,
        ml@ics.uci.edu, mlnet@csd.abdn.ac.uk (MLnet Admin),
        nat@ura1507.univ-paris13.fr, neuron-request@CATTELL.PSYCH.UPENN.EDU,
        nl-kr@snyside.sunnyside.com (comp.ai.nlang-know-rep),
        nonlin-l@list.nih.gov, reinforce@cs.uwa.edu.au (Reinforcement List),
        scivw-request@hitl.washington.edu (sci.virtual-worlds),
        www@sigart.acm.org (SIGART)
Cc: ernesto@eden.dei.uc.pt
Subject: CfP EPIA'97 [connectionists]
Date: Tue, 17 Sep 1996 01:34:39 +0200

This CfP was sent to several mailing-lists. Please accept my apologies if
you receive multiple copies.

Amilcar Cardoso
------------------------------------------------------------------------
                         CALL FOR PAPERS

                             EPIA'97
       8th Portuguese Conference on Artificial Intelligence
                       Coimbra, Portugal
                       October 6-9, 1997

                  Under the auspices of the
        Portuguese Association for Artificial Intelligence


The EPIA'97 Program Committee invites submissions of technical papers
for the 8th Portuguese Conference on Artificial Intelligence which is
to be held in Coimbra, Portugal, by October 6-9, 1997. As in previous
issues ('89, '91, '93 and '95), EPIA'97 will be run as an international
conference, English being the official language. The scientific program
encompasses tutorials, invited lectures, parallel workshops, and paper
presentations. Four well-known researchers will present invited
lectures. The conference is devoted to all areas of Artificial
Intelligence and will cover both theoretical and foundational issues
and applications as well.


  **************************************************************
                         INVITED LECTURES

     Francisco Varela                      Luis Moniz Pereira
      (CNRS - France)                       (UNL - Portugal)

      Oskar Dressler                          Tom Mitchell
       (OCC'M Software GmbH - Germany)         (CMU - USA)

  **************************************************************
                   TUTORIAL PROGRAM (Provisional)

        At the time of this CfP, the following tutorials are
      already confirmed:

  Daniel O'Leary (USC - USA), on AI and Finance
       Pedro Barahona (UNL - Portugal), on Constraint Programming
  Felix Costa (UL - Portugal), on Neurocomputing

             The final program will soon be announced.

  **************************************************************

CONTENT AREAS
Original papers are solicited in all areas of Artificial Intelligence,
including but not limited to:
o Agent-Oriented Programming        o Automated Reasoning
o Artificial Life                   o Belief Revision
o Case-Based Reasoning              o Common Sense Reasoning
o Constraint Programming            o Distributed AI
o Expert Systems                    o Genetic Algorithms
o Hybrid Systems                    o Intelligent Tutoring Systems
o Knowledge Representation          o Logic Programming
o Machine Learning                  o Model-Based Reasoning
o Natural Language Understanding    o Neural Networks
o Nonmonotonic Reasoning            o Planning and Scheduling
o Qualitative Reasoning             o Robotics
o Spatial Reasoning                 o Temporal Reasoning
o Theorem Proving                   o Theory of Computation


PROCEEDINGS
As with previous conferences, proceedings will be published by
Springer-Verlag in their Lecture Notes in Artificial Intelligence
Series and will be available to participants.


TIMETABLE
Submission Deadline: March 17, 1997
Notification of Acceptance or Rejection: May 19, 1997
Camera-Ready Copy: June 16, 1997


SUBMISSIONS
Authors must submit five (5) completed printed copies of their papers
to the EPIA'97 Submission Address (see below). Fax or electronic
submissions will not be accepted. Detailed instructions on the
procedure and on the format are available at the EPIA'97 Web site.


ELECTRONIC ABSTRACT
In addition to submitting the paper copies, authors should send a short
(200 words) electronic abstract of their paper to aid the reviewing
process. Detailed instructions on the procedure and on the format are
available at the EPIA'97 Web site.


REVIEW OF PAPERS
Submissions will be judged on significance, originality, quality and
clarity. Each paper will be cross-reviewed by three referees.
Papers will be subject to blind peer review: reviewers will not be aware
of the identities of the authors. This requires that authors exercise
some care not to identify themselves in their papers. Detailed
instructions are available at the EPIA'97 Web site.
Submitted papers must report original and previously unpublished work.


MAILING LIST
We have set up an automated mailing list facility to easily distribute
up to date information to those who wish to submit papers and/or
attend the conference. You may find instructions on how to add yourself
to the mailing list at the EPIA'97 Web site.


CONFERENCE CO-CHAIRS, PROGRAM CO-CHAIRS
Ernesto Costa (ernesto@dei.uc.pt)
Amilcar Cardoso (amilcar@dei.uc.pt)
  Universidade de Coimbra - Portugal


LOCAL CHAIR
Jose Luis Ferreira (jlf@dei.uc.pt)
  Universidade de Coimbra - Portugal


PROGRAM COMMITTEE
Bernardete Ribeiro (Portugal)        Carlos Bento (Portugal)
Carlos Pinto-Ferreira (Portugal)     Cristiano Castelfranchi (Italy)
Ernesto Morgado (Portugal)           Eugenio Oliveira (Portugal)
Gabriel Pereira Lopes (Portugal)     Helder Araujo (Portugal)
Helder Coelho (Portugal)             John Self (UK)
Larry Medsker (USA)                  Luis Moniz Pereira (Portugal)
Luis Monteiro (Portugal)             Manuela Veloso (USA)
Miguel Filgueiras (Portugal)         Nuno Mamede (Portugal)
Oskar Dressler (Germany)             Pavel Brazdil (Portugal)
Pedro Barahona (Portugal)            Philippe Dague (France)
Ramon de Mantaras (Spain)            Rosa Vicari (Brazil)
Stefano Nolfi (Italy)                Stuart Shapiro (USA)
Takeo Kanade (USA)                   Xue Mei Wang (USA)
Yves Kodratoff (France)


WORKSHOPS
A Call For Workshops Proposals will be available at September 23, 1996.


SUBMISSION ADDRESS
INQUIRES ADDRESS
  EPIA'97
  Dep. Eng. Informatica
  Universidade de Coimbra - Polo II
  Pinhal de Marrocos
  3030 Coimbra, Portugal
  Voice: +351 (39) 7000004
  Fax: +351 (39) 701266
  Email: epia97@alma.uc.pt
  URL: http://alma.uc.pt:80/~epia97


OFFICIAL LANGUAGE
English

  **************************************************************
         WE ENVITE YOU TO VISIT THE EPIA'97 WEB SITE AT
                  http://alma.uc.pt:80/~epia97
     TO FIND ADDITIONAL INFORMATION ON THE CONFERENCE AND ON
            COIMBRA AND ITS HISTORICAL UNIVERSITY.
  **************************************************************

---------------------------------------------------------------------------
Dep. Eng. Informatica                             tel: + 351 39 7000 000
Universidade de Coimbra, Polo II                  fax: + 351 39 701 266
Pinhal de Marrocos                                email: amilcar@dei.uc.pt
3030 Coimbra  - PORTUGAL



From mlittman@cs.duke.edu Wed Sep 18 00:28:01 1996
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Message-Id: <199609180308.LAA22957@cs.uwa.oz.au>
From: mlittman@cs.duke.edu (Michael Littman)
To: reinforce@cs.uwa.edu.au, Connectionists@cs.cmu.edu
Subject: CFP: Computational Finance [connectionists]
Date: Mon, 16 Sep 96 15:13:49 -0400


			       ALGORITHMICA

			     Call For Papers:

		  Special Issue on Computational Finance

	     Editors: Ming Y. Kao, Pete Kyle, and Peter Lakner

Scope of the Issue:
Submissions are invited for a special issue of Algorithmica on algorithms
for finance.  Papers are solicited on all algorithmic aspects of finance,
including but not limited to algorithms for asset trading, portfolio
optimization, asset pricing, market forecasting and risk management.
Submissions on topics strongly motivated by finance, but not of direct
application, are also encouraged.  Only work that contains rigorous
analysis of algorithmic performance and complexity is sought.  Theoretical
work accompanied by experimental results is especially valued.  Current
surveys or reviews are also welcome.

Important Dates: 
 o Submission Deadline: June 1, 1997.
 o Acceptance Decision: by December 31, 1997.
 o Final Version Due: January 31, 1998.
 o Publication Date: tentatively by June 30, 1998.

Electronic Submission: 
Submission by email is preferred.  Please email a postscript file of your
manuscript together with a plain text cover letter to kao@cs.duke.edu.

Postal Submission: 
Please send six copies of a manuscript to the following address and specify
in the cover letter that the submission is for the special issue on
computational finance.
                      Professor C. K. Wong 
                      Editor-in-Chief, Algorithmica 
                      Department of Computer Science 
		      Chinese University of Hong Kong
                      Shatin, New Territories
                      Hong Kong

Additional information can be obtained by communicating with the special
issue editors at the following addresses:
 o Ming-Yang Kao, Department of Computer Science, Duke University, Durham,
   NC 27708.
 o Albert S. Kyle, Fuqua School of Business, Duke University, Durham, NC
   27708.
 o Peter Lakner, Stern School of Business, New York University, New York,
   NY 10012.  

From jose@kreizler.rutgers.edu Wed Sep 18 22:19:46 1996
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          Wed, 18 Sep 1996 08:39:14 -0400 (EDT)
Message-ID: <EmDypmq01YKX1CrYc0@kreizler.rutgers.edu>
Date: Wed, 18 Sep 1996 08:39:14 -0400 (EDT)
From: "Stephen J. Hanson" <jose@kreizler.rutgers.edu>
To: Connectionists@MAILBOX.SRV.CS.CMU.EDU
Subject: COGNITIVE SCIENCE RESEARCH/LAB MANAGER

    


   Cognitive Science Research / System Administration

       We are looking for an individual to do research in Cognitive
       Science and to help administer the computing resources of
       the Psychology Department at Rutgers-University (Newark
       Campus).  Resources include a network of Sun workstations,
       PCs and Macs, printers, pc-voice mail system and various
       peripheral devices.  The individual will be responsible for
       installing and debugging software, and various routine
       system administration activites.  At least half their time
       will be spent in research involving Cognitive Science
       especially related to Connectionist networks (or Neural
       Networks) and Computational Neuroscience. Familiarity with C
       programming, UNIX system internals (BSD, System V, Solaris,
       Linux) and Windows (95, NT) and local area networks running
       TCP/IP is required. Image processing or graphics programing
       experience are pluses.  Candidates should possess either a
       BS/MS in Computer Science, Cognitive Science, AI or other
       relevant fields or equivalent experience. Salary will be
       dependent upon qualifications and experience.  Rutgers
       University is an equal opportunity affirmative action
       employer.

       Please send resumes and references to

         Pauline Mitchell
         Department of Psychology
         101 Warren Street
         Rutgers University
         Newark, New Jersey, 07102

       Direct email inquiries or resumes   to:  jose@kreizler.rutgers.edu




Stephen J. Hanson
Professor & Chair
Department of Psychology
Smith Hall
Rutgers University
Newark, NJ 07102

voice: 1-201-648-5095
fax:   1-201-648-1171
email: jose@kreizler.rutgers.edu
From bruno@redwood.ucdavis.edu Thu Sep 19 10:31:35 1996
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Date: Wed, 18 Sep 1996 11:05:25 -0700
From: "Bruno A. Olshausen" <bruno@redwood.ucdavis.edu>
Message-Id: <199609181805.LAA25112@redwood.ucdavis.edu>
To: connectionists@cs.cmu.edu
Subject: TR: sparse coding and ICA


The following TR is available via 
ftp://publications.ai.mit.edu/ai-publications/1500-1999/AIM-1580.ps.Z


	       Learning Linear, Sparse, Factorial Codes

			Bruno A. Olshausen

  In previous work (Nature, 381:607-609), an algorithm was described
  for learning linear sparse codes which, when trained on natural
  images, produces a set of basis functions that are spatially
  localized, oriented, and bandpass (i.e., wavelet-like).  This note
  shows how the algorithm may be interpreted within a maximum-likelihood
  framework.  Several useful insights emerge from this connection: it
  makes explicit the relation to statistical independence (i.e.,
  factorial coding), it shows a formal relationship to the "independent
  components analysis" algorithm of Bell and Sejnowski (1995), and it
  suggests how to adapt parameters that were previously fixed.


Related papers are available via http://redwood.ucdavis.edu/bruno/papers.html

Bruno A. Olshausen			Phone:	(916) 757-8749
Center for Neuroscience			Fax:	(916) 757-8827
UC Davis				Email:	baolshausen@ucdavis.edu
1544 Newton Ct.				WWW:	http://redwood.ucdavis.edu
Davis, CA 95616		
From tlindroo@bennet.tutech.fi Fri Sep 20 05:12:49 1996
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Date: Thu, 19 Sep 1996 10:42:34 +0300
From: Tommi Lindroos <tlindroo@bennet.tutech.fi>
Message-Id: <9609190742.AA32604@bennet.tutech.fi>
To: connectionists@cs.cmu.edu
Subject: CFP: EANN 97

Sorry for this unsolicited mail. Since you are involved in neural
networks, we think this conference might be of interest to you.


International Conference on
Engineering Applications of Neural Networks
(EANN '97)

Stockholm, Sweden
16-18 June 1997

First Call for Papers


The conference is a forum for presenting the latest results on neural
network applications in technical fields. The applications may be in
any engineering or technical field, including but not limited to
systems engineering, mechanical engineering, robotics, process
engineering, metallurgy, pulp and paper technology, aeronautical
engineering, computer science, machine vision, chemistry, chemical
engineering, physics, electrical engineering, electronics, civil
engineering, geophysical sciences, biotechnology, and environmental
engineering. 

Abstracts of one page (about 400 words) should be sent to
eann97@kth.se by 21 December 1996 by e-mail in plain ASCII format.
Please mention two to four keywords, and whether you prefer it to be a
short paper or a full paper. The short papers will be 4 pages in
length, and full papers may be upto 8 pages. Notification of
acceptance will be sent around 15 January. Submissions will be
reviewed and the number of full papers will be very limited. For
information on earlier EANN conferences see the www pages at
http://www.abo.fi/~abulsari/EANN95.html and
http://www.abo.fi/~abulsari/EANN96.html

Organising of a few special tracks has been confirmed so far: 
Computer Vision (J. Heikkonen, Jukka.Heikkonen@jrc.it),
Control Systems (E. Tulunay, Ersin-Tulunay@metu.edu.tr),
Hybrid Systems (D. Tsaptsinos, D.Tsaptsinos@kingston.ac.uk),
Mechanical Engineering (A. Scherer, Andreas.Scherer@fernuni-hagen.de), 
Biomedical Systems (G. Dorffner, georg@ai.univie.ac.at),
Process Engineering (R. Baratti, baratti@ndchem3.unica.it)

Authors are encouraged to send the abstracts to the organisers of the
special tracks, instead of eann97@kth.se, if your paper is relevant to
one of the topics mentioned above.


Advisory board 

J. Hopfield (USA) 	 A. Lansner (Sweden) 	 G. Sj\"odin (Sweden)


Organising committee 

A. Bulsari (Finland) 	 H. Liljenstr\"om (Sweden) 	 D. Tsaptsinos (UK)


International program committee (to be confirmed, extended)

G. Baier (Germany) 	 R. Baratti (Italy) 	 S. Cho (Korea)
T. Clarkson (UK) 	 G. Dorffner (Austria) 	 W. Duch (Poland)
A. Gorni (Brazil) 	 J. Heikkonen (Italy) 	 F. Norlund (Sweden)
A. Ruano (Portugal) 	 C. Schizas (Cyprus) 	 J. Thibault (Canada)
E. Tulunay (Turkey)	 J. Demott (USA)


Electronic mail is not absolutely reliable, so if you have not heard
from the conference secretariat after sending your abstract, please
contact again. You should receive an abstract number in a couple of
days after the submission.

From riegler@ifi.unizh.ch Fri Sep 20 05:12:52 1996
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Date: Thu, 19 Sep 1996 17:47:26 +0200
From: Alex Riegler <riegler@ifi.unizh.ch>
Subject: CFP New Trends in Cog Sci

Please forward to colleagues etc.
Apologies if you have received this already.


/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/

                           International Workshop

       N E W   T R E N D S   I N   C O G N I T I V E   S C I E N C E

                                NTCS '97

/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/\/

                    "Does Representation need Reality?"

            Perspectives from Cognitive Science, Neuroscience,
                     Epistemology, and Artificial Life

                    Vienna, Austria, May 13 - 16, 1997

                           with plenary talks by:
           Georg Dorffner, Ernst von Glasersfeld, Stevan Harnad,
                      Wolf Singer, and Sverre Sjoelander

      organized by the Austrian Society of Cognitive Science (ASoCS)


===========================================================================
     Latest information can be retrieved from the conference WWW-page
            <http://www.univie.ac.at/cognition/ntcs97.htm>
===========================================================================


                                                              P u r p o s e
___________________________________________________________________________

The goal of this single-track conference is to investigate and discuss new
approaches and movements in cognitive science in a workshop-like atmosphere.
Among the topics which seem to have emerged in the last years are:
embodiment of knowledge, system theoretic and computational neuroscience
approaches to cognition, dynamics in recurrent neural architectures,
evolutionary and artificial life approaches to cognition, and
(epistemological) implications for perception and representation,
constructivist concepts and the problem of knowledge representation,
autopoiesis, implications for epistemology and philosophy (of science).

  Evidence for a failure of the traditional understanding of neural
representation converges from several fields. Neuroscientific results in the
last decade have shown that single cell representations with hierarchical
processing towards representing units seems not the way the cortex
represents environmental entities. Instead, distributed cell ensemble coding
has become a popular concept for representation, both in computational and
in empirical neuroscience. However, new problems arise from the new
concepts. The problem of binding the distributed parts into a uniform
percept can be "solved" by introducing synchronization of the member
neurons. A deeper (epistemological) problem, however, is created by
recurrent architectures within ensembles generating an internal dynamics in
the network. The cortical response to an environmental stimulus is no longer
dominated by stimulus properties themselves, but to a considerable degree by
the internal state of the network. Thus, a clear and stable reference
between a representational state (e.g. in a neuron, a Hebbian ensemble, an
activation state, etc.) and the environmental state becomes questionable.
Already learned experiences and expectancies might have an impact on the
neural activity which is as strong as the stimulus itself. Since these
internally stored experiences are constantly changing, the notion of (fixed)
representations is challenged. At this point, system theory and
constructivism, both investigating the interaction between environment and
organism at an abstract level, come into the scene and turn out to provide
helpful epistemological concepts. The goal of this conference is to discuss
these phenomena and their implications for the understanding of
representation, semantics, language, cognitive science, and artificial life.

  Contrary to many conferences in this field, the focus is on
interdisciplinary cooperation and on conceptual and epistemological
questions, rather than on technical details. We are trying to achieve this
by giving more room to discussion and interaction between the participants
(e.g., invited comments on papers, distribution of papers to the
participants before the conference, etc.). According to the
interdisciplinary character of cognitive science, we welcome papers/talks
from the fields of artificial life, empirical, cognitive, and computational
neuroscience, philosophy (of science), epistemology, anthropology, computer
science, psychology, and linguistics.


                                                                T o p i c s
___________________________________________________________________________

The conference is centered around but not restricted to the following
topics:

  1. Representation - epistemological concepts and findings from
     (computational) neuroscience, cognitive science (recurrent neural
     architectures, top-down processing, etc.), and philosophy;

  2. Alternatives to representation - applying constructivism to cognitive
     systems;

  3. Modeling language, communication, and semantics as a dynamical,
     evolutionary and/or adaptive process;

  4. Representation and cognition in artificial life;

  5. What is the role of simulation in understanding cognition?



                                            I n v i t e d   S p e a k e r s
___________________________________________________________________________

Besides submitted papers the conference will also feature plenary talks by
invited speakers who are leaders in their fields. The following is a list
of invited speakers in alphabetical order:

  o Georg Dorffner, Univ. of Vienna (A)
  o Ernst von Glasersfeld, Univ. of Amherst, MA (USA)
  o Stevan Harnad, Univ. of Southampton (GB)
  o Rolf Pfeifer, Univ. of Zurich (CH)
  o Wolf Singer, Max Planck Institut fuer Hirnforschung, Frankfurt (D)
  o Sverre Sjoelander, Linkoeping University (S)



                                          P a p e r   S u b m i s s i o n s
___________________________________________________________________________

We invite submissions of scientific papers to any of the 5 topics listed
above. The papers will be reviewed by the Scientific Committee and accepted
according to their scientific content, originality, quality of presentation,
and relatedness to the conference topic. Please keep to the following
guidelines: Hardcopy submission only, 6-9 pages A4 or USLetter single sided
in Times Roman 10-12pt (or equivalent). Please send 4 copies to the
organizing committee, see address below.

  In a first step we are planning to publish the proceedings as Technical
Report of the Austrian Society for Cognitive Science. In a second step
after rewriting the papers and after a second round of review a major
publisher will be approached to publish the best papers in an edited
volume.

  For the final versions of the accepted papers electronic submissions are
preferred in one of the following formats: Word, FrameMaker, or Ascii.
Detailed formatting information will be given upon notification of
acceptance.

                  Submission due  January 7, 1997
      Notification of acceptance  February 28


                                                    R e g i s t r a t i o n
___________________________________________________________________________

To register please fill out the registration form at the bottom of this CFP
and send it by...

  o Email to franz-markus.peschl@univie.ac.at, or by
  o Fax to +43-1-408-8838 (attn. M.Peschl), or by
  o Mail to Markus Peschl, Dept.for Philosophy of Science (address below)

Registration Fee (includes admission to talks, presentations, and proceedings):

before April 1st, 1997:

  Member *              1000 ATS (about  90 US$)
  Non-Member            1500 ATS (about 135 US$)
  Student Member **      400 ATS (about  36 US$)
  Student Non-Member    1000 ATS (about  90 US$)

after April 1st, 1997:

  Member *              1300 ATS (about 118 US$)
  Non-Member            1800 ATS (about 163 US$)
  Student Member **      500 ATS (about  45 US$)
  Student Non-Member    1300 ATS (about 118 US$)


*) Members of the Austrian Society of Cognitive Science
**) Requires proof of valid student ID



            C o n f e r e n c e   S i t e   a n d   A c c o m o d a t i o n
___________________________________________________________________________

The conference takes place in a small beautiful baroque castle in the
suburbs of Vienna; the address is:

   Schloss Neuwaldegg
   Waldegghofg. 5
   A-1170 Wien
   Austria

   Tel: +43-1-485-3605

It is surrounded by a beautiful forest and a good (international and
Viennese gastronomic) infrastructure. On the tram it takes only 20 minutes
to the center of Vienna.

  (Limited) Accommodation is provided by the castle (about 41 US$ per night
(single), 30 US$ per night, per person (double) including breakfast). Please
contact the telephone number above. You can find more information about
Vienna and accommodation at the Vienna Tourist Board or at the Intropa
Travel agent Tel: +43-1-5151-242. Further information will be available
soon.


                                      D e s t i n a t i o n   V i e n n a ?
___________________________________________________________________________

Vienna, Austria, can be reached internationally by plane or train. The
Vienna Schwechat airport is located about 16 km from the city center. From
the airport, the city air-terminal can be reached by bus (ATS 60.- per
person) or taxi (about ATS 400). Rail-passengers arrive at one of the
main stations which are located almost in the city center. From the
air-terminal and the railway stations the congress site and hotels can be
reached easily by underground (U-Bahn), tramway, or bus. A detailed
description will be given to the participants.

  In May the climate is mild in Vienna. It is the time when spring is at its
climax and everything is blooming. The weather is warm with occasional
(rare) showers. The temperature is about 18 to 24 degrees Celsius.

More information about Vienna and Austria on the web:

   Welcome to Vienna Scene
     <http://wtv.magwien.gv.at/e/index.htm>

   Vienna City
     <http://www.atnet.co.at/Tourism/Vienna/>

   Wiener Festwochen - Vienna Festival
     <http://www.infosys.tuwien.ac.at/WF/>

   Public Transport in Vienna (subway)
     <http://metro.jussieu.fr:10001/bin/select/english/austria/vienna>

   Welcome to Austria
     <http://austria-info.at/">

   General information about Austria
     <http://www.atnet.co.at/austria/>

   Austria Annoted
     <http://harvest.Austria.EU.net/Server-in-AT/categories.html>


                                    S c i e n t i f i c   C o m m i t t e e
___________________________________________________________________________

                         R. Born  Univ. of Linz (A)
                     G. Dorffner  Univ. of Vienna (A)
               E. v. Glasersfeld  Univ. of Amherst, MA (USA)
                       S. Harnad  Univ. of Southampton (GB)
                       M. Peschl  Univ. of Vienna (A)
                      A. Riegler  Univ. of Zurich (CH)
                        H. Risku  Univ. of Skovde (S)
                   S. Sjoelander  Linkoeping University (S)
                     A. v. Stein  Neuroscience Institute, La Jolla (USA)


                                    O r g a n i z i n g   C o m m i t t e e
___________________________________________________________________________

                       M. Peschl  Univ. of Vienna (A)
                      A. Riegler  Univ. of Zurich (CH)


                                                        T i m e   t a b l e
___________________________________________________________________________

                  Submission due  January 7, 1997
      Notification of acceptance  February 28
          Early registration due  April 1
                Final papers due  April 14
                 Conference date  May 13-16, 1997


                            S p o n s o r i n g   O r g a n i z a t i o n s
___________________________________________________________________________


  o Christian Doppler Laboratory for Expert Systems
    (Vienna University of Technology)
  o Oesterreichische Forschgungsgemeinschaft
  o Austrian Federal Ministry of Science, Transport and the Arts
  o City of Vienna


                                A d d i t i o n a l   I n f o r m a t i o n
___________________________________________________________________________

For further information on the conference contact:

   Markus Peschl
   Dept. for Philosophy of Science
   University of Vienna
   Sensengasse 8/10
   A-1090 Wien
   Austria

   Tel: +43-1-402-7601/41
   Fax: +43-1-408-8838
   Email: franz-markus.peschl@univie.ac.at

General information about the Austrian Society for Cognitive Science can be
found on the Society webpage <http://www.univie.ac.at/cognition> or by
contacting

   Alexander Riegler
   AILab, Dept. of Computer Science
   University of Zurich
   Winterthurerstr. 190
   CH-8057 Zurich
   Switzerland

   Email: riegler@ifi.unizh.ch


                                          R e g i s t r a t i o n   f o r m
___________________________________________________________________________

I participate at the Workshop "New Trends in Cognitive Science (NTCS'97)"


Full Name

   ........................................................................

Full Postal Address:

   ........................................................................

   ........................................................................

   ........................................................................

Telephone Number (Voice):       Fax:

   ..................................... ..................................

Email address:

   ........................................................................


[ ] I intend to submit a paper


Payment in ATS (= Austrian Schillings; 1 US$ is currently about 11 ATS).
This fee includes admission to talks, presentations, and proceedings:

Before April 1st, 1997:

   [ ] Member *                1000 ATS (about  90 US$)
   [ ] Non-Member              1500 ATS (about 135 US$)
   [ ] Student Member **        400 ATS (about  36 US$)
   [ ] Student Non-Member      1000 ATS (about  90 US$)

After April 1st, 1997:

   [ ] Member *                1300 ATS (about 118 US$)
   [ ] Non-Member              1800 ATS (about 163 US$)
   [ ] Student Member **        500 ATS (about  45 US$)
   [ ] Student Non-Member      1300 ATS (about 118 US$)

*) Members of the Austrian Society of Cognitive Science
**) Requires proof of valid student ID


Total: .................... ATS

   [ ] Visa
   [ ] Master-/Eurocard

       Name of Cardholder ........................................

       Credit Card Number ........................................

       Expiration Date .................



Date: ................  Signature: ........................................



Please send this form by...

  o Email to franz-markus.peschl@univie.ac.at, or by
  o Fax to +43-1-408-8838 (attn. M.Peschl), or by
  o Mail to Markus Peschl, Dept.for Philosophy of Science,
    Univ. of Vienna, Sensengasse 8/10, A-1090 Wien, Austria

___________________________________________________________________________
      AI Lab * Department of Computer Science * University of Zurich
 Winterthurerstr. 190 * CH-8057 Zurich, Switzerland * riegler@ifi.unizh.ch


From lba@inesc.pt Fri Sep 20 05:12:54 1996
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	id AA17249; Thu, 19 Sep 96 17:09:49 +0100
Sender: Luis.Almeida@inesc.pt
Message-Id: <3241704B.61133CF4@inesc.pt>
Date: Thu, 19 Sep 1996 17:09:47 +0100
From: "Luis B. Almeida" <lba@inesc.pt>
Organization: INESC / IST
X-Mailer: Mozilla 2.0 (X11; I; SunOS 4.1.3_U1 sun4m)
Mime-Version: 1.0
To: connectionists@cs.cmu.edu
Subject: Workshop on spatiotemporal models

Below is the registration information for the Sintra Workshop on
Spatiotemporal Models in Biological and Artificial Systems. Please
distribute and/or post it as widely as you please.

For further information, as well as for obtaining a postscript version
of the registration form (e.g. if you want to post it), please consult:

Workshop's web page:	http://aleph.inesc.pt/smbas/
Mirror:			http://www.cnel.ufl.edu/workshop.html

(the mirror sometimes takes a few days to get updated)


Luis B. Almeida

INESC                     Phone: +351-1-3544607, +351-1-3100246
R. Alves Redol, 9         Fax:   +351-1-3145843
P-1000 Lisboa
Portugal

e-mail:  lba@inesc.pt   or   luis.almeida@inesc.pt

-------------------------------------------------------------------


                          Sintra Workshop on
       Spatiotemporal Models in Biological and Artificial Systems
                               SMBAS

                          November 6-8 1996
                          Sintra, Portugal


                     REGISTRATION INFORMATION

The SMBAS workshop will take place in Sintra, Portugal, beginning on
November 6 afternoon and extending through November 8 afternoon. Three
invited speakers are confirmed (Drs. Walter Freeman, Kumpati Narendra
and Scott Kelso), and a fourth invited speaker may still be
announced. Contributed papers are both from the biological and
artificial systems areas, in approximately equal numbers. The list of
accepted papers is given at the end of this message.

Registrations are open until October 25. Participants who won't
present papers are also welcome. The total number of participants is
limited to 50. Among non-contributors, the registrations will be
accepted on a first come first served basis.

The registration prices are:

   Normal registration      50000 Portuguese escudos
   Student registration     30000 Portuguese escudos

As an indication only, the current exchange rate is of about 150
Portuguese escudos per US dollar.

The registration price includes participation in the workshop,
proceedings book, lunches on Thursday and Friday and coffee
breaks. The price also includes 17% VAT.

The registration form is included below. Only registrations
accompanied by payment are accepted. Students should also include a
letter from their supervisor or university representative, written on
the university letterhead, confirming their student status.


                         FORMS OF PAYMENT

CHECK - The check should be in Portuguese escudos, made payable to
  "INESC - SMBAS Workshop". Enclose the check with the registration
  form.

BANK TRANSFER - Make the transfer in Portuguese escudos, to

  Banco Nacional Ultramarino
  Arco do Cego
  Account no. 001399550210009683498
  Account holder: INESC
  Reference: SMBAS Workshop

  Enclose a copy of the bank transfer document with the registration form.

Credit card payments cannot be accepted.


                             FUNDING

A grant of 100000 Portuguese escudos from Fundacao Oriente (Portugal)
is available to be assigned to a participant from East
Asia. Preference will be given to students.

Other funding sources, especially the large grant from the Office of
Naval Research (USA), are already reflected in the registration
prices, which would otherwise be about 80000 escudos higher.


                             LODGING

The workshop will be held at the Hotel Tivoli Sintra. This hotel will
have special room rates for workshop participants:

  Single room:   9700 Portuguese escudos per night
  Double room:  10900 Portuguese escudos per night (for two persons)

The Tivoli hotel accepts individual registrations for double rooms, at
half the price. In this case the participants will be paired by the
hotel.

The participants should reserve rooms directly with the hotel. Please
mention that you are reserving for this workshop.

  Hotel Tivoli Sintra
  Praca da Republica =

  2710 Sintra
  PORTUGAL
  Tel: +351-1-9233505
  Fax: +351-1-9231572

A number of rooms has been allocated in advance at the Tivoli. Should
the hotel become full, the Hotel Central is very close and has only
slightly higher room rates:

  Hotel Central
  Largo Rainha D. Amelia, 35 =

  2710 Sintra
  PORTUGAL
  Tel.: +351-1-9230963 =

  (this hotel has no fax)


==================== Registration form (cut here) =======================

                           Sintra Workshop
    on Spatiotemporal Models in Biological and Artificial Systems

                November 6-8 1996, Sintra, Portugal

Name____________________________________________________________________

_______________________________________________________  Sex____________

Address_________________________________________________________________

City___________________________________  State__________________________

Postal/zip code_________________  Country_______________________________

Phone___________________________

Fax____________________________

E-mail_________________________


Type of registration (check as appropriate):

   __ Normal (50000 PTE)

   __ Student (30000 PTE) - enclose a letter from the supervisor or
      university representative, on university letterhead, confirming
      the student status

Enclosed payment:  Amount_________________ in Portuguese escudos
                   (only the Portuguese currency is accepted)

Form of payment:  __ Check (enclose check with this form)

                  __ Bank transfer (enclose a copy of the bank document)


Checks should be made payable to "INESC - SMBAS Workshop"

Bank transfers should be made to

  Banco Nacional Ultramarino
  Arco do Cego
  Account no. 001399550210009683498
  Account holder: INESC
  Reference: SMBAS Workshop


REGISTRATION DEADLINE: October 25, 1996


Please mail this form, with the payment document to

  INESC
  SMBAS Workshop
  c/o Mrs. Ilda Ribeiro
  R. Alves Redol, 9
  1000 Lisboa
  Portugal
  Tel: +351-1-3100313
  Fax: +351-1-3145843

Registrations paid by bank transfer can also be sent by fax. In this
case fax both the registration form and the bank document, and send
the fax to Mrs. Ilda Ribeiro, fax no. +351-1-3145843.



=================== (end of registration form) =======================


                      List of accepted papers



METHODS OF TOPOGRAPHICAL TIME-FREQUENCY ANALYSIS OF EEG IN COARSE AND FINE 
TIME SCALE
K. Blinowska, P. Durka, M. Kaminski - Warsaw University, POLAND
W. Szelenberger - Warsaw Medical Academy, POLAND

SPATIAL EFFECTS AND COMPETIVE COEXISTENCE
T. Caraco - State University of New York, USA
W. Maniatty and B. Szymanski - Rensselaer Polytechnic Institute, USA

RST: A SPATIOTEMPORAL NEURAL NETWORK
J.-C. Chappelier and A. Grumbach - ENST, FRANCE

TRASIENT SYNAPTIC REDUNDANCY DURING SYNAPTOGENESIS DESCRIBED AS AN ISOSTATIC 
RANDOM STACKING OF NONPENETRATING HARD SPHERES
F. Eddi, G. Waysand - Denis Diderot and P. & M. Curie Universities, FRANCE
J. Mariani - P.& M. Curie University, FRANCE 

MODELLING THE PRENATAL DEVELOPMENT OF THE LATERAL GENICULATE NUCLEUS
S. Eglen - University of Sussex, UK

A SELF-ORGANIZING TEMPORAL PATTERN RECOGNIZER WITH APPLICATION TO ROBOT 
LANDMARK RECOGNITION
N. Euliano and J. Principe - University of Florida, USA.
P. Kulzer - University of Aveiro, PORTUGAL

ON THE APPLICATION OF COMPETITIVE NEURAL NETWORKS TO TIME-VARYING CLUSTERING 
PROBLEMS
A. Gonzalez, M. Gra=F1a, A. D'Anjou - Universidad del Pais Vasco, ESPA=D1A 
M. Cottrell - Universit\'{e} Paris I , FRANCE

LOCALISATION AND GOAL-DIRECTED BEHAVIOUR FOR A MOBILE ROBOT USING PLACE CELLS
K. Harris and M. Recce -  University College London, UK

BRIDGING LONG TIME LAGS BY WEIGHT GUESSING AND LONG SHORT TERM MEMORY
S. Hochreiter - Technische Universitaet Muenchen, GERMANY
J. Schmidhuber - IDSIA, SWITZERLAND

COHERENT PHENOMENA IN THE DYNAMICS OF INTEGRATE AND FIRE NEURAL FIELDS
D. Horn and I. Opher - Tel Aviv University, ISRAEL

SPATIOTEMPORAL TRANSITION TO EPILEPTIC SEIZURES: A NONLINEAR DYNAMICAL 
ANALYSIS OF SCALP AND INTRACRANIAL EEG RECORDINGS
L. Iasemidis, S. Roper, J. Sackellares - University of Florida and V.A. 
   Medical Center, USA
J. Principe, J. Czaplewski, R. Gilmore - University of Florida, USA

A CONTINUUM MODEL OF THE MAMMALIAN ALPHA RHYTHM
D. Liley - Swinburne University of Technology, AUSTRALIA

ANALOG COMPUTATIONS WITH TEMPORAL CODING IN NETWORKS OF SPIKING 
NEURONS
W. Maass - Technische Universitaet Graz, AUSTRIA

SELECTIVE LINEAR PREDICTION FOR RHYTHMIC ACTIVITY MODELLING
N. Martins - Technical University of Lisbon and Polytechnic Institute of 
   Set\'{u}bal, PORTUGAL 
A. Rosa - Technical University of Lisbon, PORTUGAL

CEREBELLAR LEARNING OF DYNAMIC PATTERNS IN THE CONTROL OF MOVEMENT
P. Morasso, V. Sanguineti and F. Frisone - University of Genova, ITALY

A CHAOTIC OSCILLATOR CELL IN SUBTHRESHOLD CMOS FOR SPATIO-TEMPORAL SIMULATION
J. Neeley and J. Harris - University of Florida, USA

A TEMPORAL MODEL FOR STORING SPATIOTEMPORAL PATTERN MEMORY IN SHUNTING 
COOPERATIVE COMPETITIVE NETWORK
C. Nehme - Brazilian Navy Research Institute, BRAZIL
L. Carvalho and S. Mendes - Federal University of Rio de Janeiro, BRAZIL

SPATIO-TEMPORAL SPIKE PATTERN DISCRIMINATION BY NETWORKS OF SILICON NEURONS 
WITH ARTIFICIAL DENDRITIC TREES
D. Northmore and J. Elias - University of Delaware, USA

SYNCHRONIZATION IN NEURAL OSCILLATORS THROUGH LOCAL DELAYED INHIBITION
G. Renversez - Centre de Physique Th\'{e}orique Centre National de la Recherche 
   Scientifique, FRANCE

LEARNING REACTIVE BEHAVIOR FOR AUTONOMOUS ROBOT USING CLASSIFIER SYSTEMS
A. Sanchis, J. Molina and P. Isasi - Universidad Carlos III de Madrid, SPAIN

MODELING OF CELLULAR AND NETWORK NEURAL MECHANISMS FOR RESPIRATORY PATTERN 
GENERATION
J. Schwaber, I. Rybak - DuPont Central Research, USA
J. Paton - University of Bristol, UK

FASTER TRAINING OF RECURRENT NETWORKS
G. Silva, J. Amaral, T. Langlois and L. Almeida - Instituto de Engenharia de 
   Sistemas e Computadores, PORTUGAL

HUMAN PERCEPTION OF SUBTHRESHOLD, NOISE-ENHANCED VISUAL IMAGES
E. Simonotto and M. Riani - Universit\'{a} di Genova, ITALY
J. Twitti and F. Moss - University of Missouri at St. Louis, USA

NEUROCONTROL OF INVERSE DYNAMICS IN FUNCTIONAL ELECTRICAL STIMULATION
L. Spaanenburg, J. Nijhuis and A. Ypma - Rijksuniversiteit Groningen, THE 
   NETHERLANDS
J. Krijnen - Academic Hospital Groningen, THE NETHERLANDS

PROGRAMMED CELL DEATH DURING EARLY DEVELOPMENT OF THE NERVOUS SYSTEM, 
MODELLED BY PRUNING IN A NEURAL NETWORK
J. Vos, J. van Heijst and S. Greuters - University of Groningen, THE 
   NETHERLANDS
From Randy_Ringen@hmc.edu Fri Sep 20 05:12:56 1996
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Date: Thu, 19 Sep 1996 10:10:31 -0800
From: Randy Ringen <Randy_Ringen@hmc.edu>
Subject: Sejnowski Awarded Prestigious Wright Prize
X-Sender: rringen@134.173.39.1
To: connectionists@cs.cmu.edu, cneuro@bbb.caltech.edu
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HARVEY MUDD COLLEGE NEWS RELEASE
Office of College Relations, Claremont, California 91711-5990

FOR IMMEDIATE RELEASE                   CONTACT:  Randy Ringen
                                                  or Leslie Baer
SEPTEMBER 19, 1996                                (909) 624-4146
                                                  Ref #: 95/96-47

HARVEY MUDD COLLEGE HONORS BRAIN RESEARCHER TERRENCE J. SEJNOWSKI AS 12TH
RECIPIENT OF THE WRIGHT PRIZE
October 25 lecture is free and open to the public

        CLAREMONT, Calif.-Harvey Mudd College is pleased to announce the
winner of the 1996 Wright Prize for interdisciplinary study in science and
engineering: Terrence J. Sejnowski, a computational neurobiologist, who is
an investigator with the Howard Hughes Medical Institute, a professor at
the at the Salk Institute of Biological Studies in La Jolla, Calif., and a
professor of biology and physics at UC San Diego. Sejnowski will be awarded
$15,000 on Friday, 7 p.m., October 25, in Galileo Hall on the Harvey Mudd
College campus, when he will give his distinguished lecture, "The Century
of the Brain." Admission is free and the event is open to the public.
        Sejnowski, the 12th Wright awardee, the joins the likes of
physicist Freeman Dyson, physician-scientist Jonas Salk, and 1962 Nobel
Prize-winning biologist Francis Crick, who were also honored. He is the
first awardee selected under a new criteria, which seeks to honor
up-and-coming, early-to-mid career researchers in multidisciplinary
research in engineering or the sciences, rather than those already widely
recognized for their accomplishments.
        Sejnowski seeks to understand "the computational resources of
brains, from the biophysical to the systems levels," he said. His research
focuses on how images seen through the eyes are represented in the brain,
how memory is organized, and how vision is used to guide actions. As tools
in his research, Sejnowski employs theoretical models on how the brain
networks this information. He also studies the biophysics of the living
brain.
        As part of the award festivities, Sejnowski will spend two days at
Harvey Mudd College, offering the October 25 public lecture, as well as
student seminars and informal exchanges with faculty on October 24.
        "The basic educational philosophy holds interdisciplinary study to
be essential in furthering our understanding of science and engineering,"
said HMC President Henry E. Riggs. "The events surrounding the awarding of
the prize give students and faculty alike an opportunity to exchange ideas
with a young researcher whose work spans several fields," he said.  "Beyond
that," he added, "the lecture will present to the public the latest
information on the exciting discoveries made concerning how the brain
works."
        Sejnowski graduated summa cum laude from Case Western Reserve
University with a B.S. in physics. He received his M.S. and Ph.D. in
physics from Princeton. After teaching at The Johns Hopkins University, he
became a senior member and professor at the Salk Institute and a professor
at UC San Diego. He has received numerous awards, including a Presidential
Young Investigator Award from the National Science Foundation, WAS A
Fairchild Distinguished Scholar at the California Institute of Technology,
and has delivered numerous honorary lectures at the University of
Wisconsin; Cambridge University; the Royal Institution, London; and the
International Congress of Physiological Sciences. He has published more
than 100 scientific articles and  coauthored one book. He is the
editor-in-chief of "Neural Computation," published by the MIT Press, and
serves on the editorial boards of 17 scientific journals.
        Harvey Mudd College, one of The Claremont Colleges, is an
undergraduate coeducational institution of engineering, science, and
mathematics that also places strong emphasis on humanities and the social
sciences. The college's aim is to graduate engineers and scientists
sensitive to the impact of their work on society. Harvey Mudd College ranks
among the nation's leading schools in percentage of graduates who earn
Ph.D. degrees. The college has been consistently ranked among the top
engineering undergraduate specialty schools in the nation by U.S.News &
World Report. In a recent study published in Change magazine, in which 212
colleges and universities were ranked, Harvey Mudd College is among an
elite group of just 11 institutions that are classified as "High-High,"
rated outstanding for both their teaching and their research.
                                    -end-


From nkasabov@commerce.otago.ac.nz Sat Sep 21 01:16:09 1996
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From: Nikola Kasabov <nkasabov@commerce.otago.ac.nz>
Organization: University of Otago
To: Connectionists-Request@cs.cmu.edu
Date: Wed, 18 Sep 1996 12:40:53 -1200
Subject: A new text and research book from MIT Press
Priority: normal
X-mailer: Pegasus Mail for Windows (v2.23)
Message-ID: <497E9002FD9@jupiter.otago.ac.nz>

                                   The MIT Press

Foundations of Neural Networks, Fuzzy Systems, and Knowledge
                                    Engineering
                                by Nikola Kasabov

Neural networks and fuzzy systems are different approaches to
introducing human like reasoning to intelligent information systems.
This text is the first to combine the study of these two subjects,
their basics and their use, along with the symbolic AI methods and the
traditional methods of data analysis, to build comprehensive
artificial intelligence systems. 

In a clear and accessible style, Kasabov describes rule based,
fuzzy logic, and connectionist techniques, and their combinations
that lead to new techniques such as methods for rules extraction,
fuzzy neural networks, hybrid systems, connectionist AI systems,
chaotic neurons, etc. All these techniques are applied to a set of
simple prototype problems, which makes comparisons possible. A
particularly strong feature of the text is that it is replete with
applications in engineering, business and finance. AI problems
which cover most of the application oriented research in the field
(pattern recognition, speech recognition, image processing,
classification, planning, optimization, prediction, control,
decision making, game simulation, chaos analysis) are discussed and
illustrated with concrete examples. Intended both as a text for
advanced undergraduate and postgraduate students as well as a
reference for researchers in the field of knowledge engineering,
"Foundations of Neural Networks, Fuzzy Systems, and Knowledge
Engineering" has chapters structured for various levels of teaching
and includes original work by the author along with the classical
material. Data sets for the examples in the book as well as an
integrated software environment that can be used to solve the
problems and to do the exercises at the end of each chapter, have
been made available on the World Wide Web. 

Nikola Kasabov is Associate Professor in the Department of Computer
and  Information Science, University of Otago, New Zealand.

A Bradford Book
Computational Intelligence series
September 1996, ISBN 0-262-11212-4,   544 pp. -- 282 illus.  $60.00 (cloth)

----------------       Please cut here       -------- -------------------------
Please send me a brochure with ordering information and course adoption terms for
"Foundations of Neural Networks, Fuzzy Systems, and Knowledge Engineering"
by Nikola Kasabov 

Name __________________________________
City _______________________________
University __________________________ 
State/Country ___________________ Zip/Code__________________

Return to: Texts Manager, The MIT Press, 55 Hayward Street, Cambridge,
MA, 02142, USA (e mail: hardwick@mit.edu), or order the book directly 
through the MIT Press WWW home page:
http://www-mitpress.mit.edu:80/mitp/recent-books/comp/kasfh.html. 
---------------------------------------------------------------------------
From pe_keller@ccmail.pnl.gov Sat Sep 21 01:16:10 1996
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Date: Fri, 20 Sep 1996 19:28 -0700 (PDT)
From: pe_keller@ccmail.pnl.gov
Subject: Career Opportunity for Senior Research Scientist
To: Connectionists@cs.cmu.edu
Message-id: <01I9PIR7VVIQ8Y4WTQ@pnl.gov>
MIME-version: 1.0
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                 Senior Research Scientist
                    Cognitive Controls


Battelle, a leading provider of technology solutions, has immediate need 
for a Senior Scientist to join their cognitive controls initiative.  
Position will provide technical leadership for a multi-year corporate 
project applying adaptive/cognitive control theory to applications in 
emerging technology areas.

Position requires an M.S./Ph.D. in Computer and Information Science, 
Electrical Engineering, or related field with a specialization in adaptive 
or cognitive control theory (artificial neural networks, fuzzy logic, 
genetic algorithms) and statistical methods, and at least 5 years' 
experience in the application of such control methods to engineering 
problems.  Strong leadership capabilities and oral, written, and 
interpersonal communications skills are essential to this highly 
interactive position.  Applicant selected will be subject to a security 
investigation and must meet eligibility requirements for access to 
classified information.

Battelle offers competitive salaries, comprehensive benefits, and 
opportunities for professional development.  Qualified candidates are 
invited to send their resumes to: Employment Department J-35, Battelle, 505 
King Avenue, Columbus, OH 43201-2693 or fax them to 614-424-4643.


An Equal Opportunity/Affirmative Action Employer M/F/D/V

---------------------------------------------------------------------------
This opening is in our Columbus, Ohio, USA facility.  For more information 
about Battelle, try http://www.battelle.org.  For more information about 
our neural network activity at our Pacific Northwest National Laboratory 
(in Richland, Washington, USA), try 
http://www.emsl.pnl.gov:2080/docs/cie/neural/
---------------------------------------------------------------------------
From seung@physics.lucent.com Sat Sep 21 01:17:06 1996
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From: Sebastian Seung <seung@physics.lucent.com>
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Date: Thu, 19 Sep 1996 11:03:46 -0400
Message-Id: <199609191503.LAA09840@heungbu.div111.lucent.com>
To: connectionists@cs.cmu.edu
Subject: preprints available on Web

The following preprints can be found in
http://portal.research.bell-labs.com/home/seung@physics/papers/

How the brain keeps the eyes still
H. S. Seung
To appear in PNAS

The brain can hold the eyes still because it stores a memory of eye
position.  The brain's memory of horizontal eye position appears to be
represented by persistent neural activity in a network known as the
neural integrator, which is localized in the brainstem and cerebellum.
Existing experimental data are reinterpreted as evidence for an
attractor hypothesis, that the persistent patterns of activity
observed in this network form an attractive line of fixed points in
its state space.  Line attractor dynamics can be produced in linear or
nonlinear neural networks by learning mechanisms that precisely tune
positive feedback.


Unsupervised learning by convex and conic encoding
D. D. Lee and H. S. Seung
To appear in NIPS

Unsupervised learning algorithms based on convex and conic encoders
are proposed.  The encoders find the closest convex or conic
combination of basis vectors to the input.  The learning algorithms
produce basis vectors that minimize the reconstruction error of the
encoders.  The convex algorithm develops locally linear models of the
input, while the conic algorithm discovers features.  Both algorithms
are used to model handwritten digits and compared with vector
quantization and principal component analysis.  The neural network
implementations involve lateral connections, which mediate cooperative
and competitive interactions and allow for the development of sparse
distributed representations.


Statistical mechanics of Vapnik-Chervonenkis entropy
P. Riegler and H. S. Seung

A statistical mechanics of learning is formulated in terms of a Gibbs
distribution on the realizable labelings of a set of inputs.  The
entropy of this distribution is a generalization of the
Vapnik-Chervonenkis (VC) entropy, reducing to it exactly in the limit
of infinite temperature.  Perceptron learning of randomly labeled
patterns is analyzed within this formalism.

