From payman@uw-isdl.ee.washington.edu Sun Feb 11 20:00:31 1996
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Date: Sun, 11 Feb 1996 14:48:03 -0800 (PST)
From: Payman Arabshahi <payman@uw-isdl.ee.washington.edu>
Message-Id: <199602112248.OAA11919@uw-isdl.ee.washington.edu>
To: connectionists@cs.cmu.edu
Subject: IEEE NNC Homepage - Call for Submissions


The IEEE Neural Network Council's Homepage (http://www.ieee.org/nnc)
is seeking information about Computational Intelligence Research
Programs Worldwide, both in academia and industry. If you know of
a relevant research group's homepage or would like a link to your
homepage from the IEEE NNC research page, please let me know. At
present we maintain links to some 64 Neural Computing Programs, and
are especially seeking information on programs in Canada, Central
and South America, Asia and the Middle East, Eastern Europe, the 
former Soviet Union, and Africa.
 
Thank you for your cooperation.
 
--
Payman Arabshahi                           Tel  : (205) 895-6380
Dept. of Electrical & Computer Eng.        Fax  : (205) 895-6803
University of Alabama in Huntsville        payman@ebs330.eb.uah.edu
Huntsville, AL 35899                       http://www.eb.uah.edu/ece/
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Date: Tue, 13 Feb 1996 14:30:29 +1100 (EST)
Message-Id: <199602130330.OAA24815@discus.anu.edu.au>
From: Tony BURKITT <tony@discus.anu.edu.au>
To: connectionists@cs.cmu.edu
Subject: ACNN'96 registration information


               REGISTRATION INFORMATION

                      ACNN'96

             SEVENTH AUSTRALIAN CONFERENCE
                         ON
                   NEURAL NETWORKS

               10th - 12th APRIL 1996

             Australian National University
                  Canberra, Australia


ADVANCE REGISTRATION REMINDER

To receive a 20% discount for registration at ACNN'96, you must
post a registration form before Friday, February 16th.


ACNN'96

The seventh Australian conference on neural networks will be held
in Canberra on April 10th - 12th 1996 at the Australian National
University.  ACNN'96 is the annual national meeting of the Australian
neural network community. It is a multi-disciplinary meeting, with
contributions from Neuroscientists, Engineers, Computer Scientists,
Mathematicians, Physicists and Psychologists.  The program will
include keynote talks, lecture presentations and poster sessions.
Proceedings will be printed and distributed to the attendees.


Invited Keynote Speakers

ACNN'96 will feature two keynote speakers:
Professor Wolfgang Maass, Institute for Theoretical Computer Science,
  Technical University Graz, "Networks of spiking neurons: The third
  generation of neural network models," and
Professor Steve Redman, John Curtin School of Medical Research,
  Australian National University, "Modelling versus measuring: a
  perspective on computational neuroscience."


Pre-Conference Workshops

There will be two Pre-Conference Workshops on Tuesday 9th April:

Memory, time, change and structure in ANNs: Distilling cognitive
models into their functional components
  Convenors: Janet Wiles and J. Devin McAuley, Depts of
  Computer Science and Psychology, University of Queensland
  janet@psy.uq.edu.au            devin@psy.uq.edu.au

  The workshop aim is to identify the functional roles of artificial
  neural network (ANN) components and to understand how they combine
  to explain cognitive phenomena. Existing ANN models will be
  distilled into their functional components through case study
  analysis, targeting three traditional strengths of ANNs - mechanisms
  for memory, time and change; and one area of weakness - mechanisms
  for structure.
  (see http://psy.uq.edu.au/CogPsych/acnn96/workshop.html)

Neural Networks in the Australian Public Service
  Convenor: Andrew Freeman
  phone: (06) 264 3698  fax: (06) 264 4717  afreeman@pcug.org.au

  This workshop will provide a venue for an informal exchange of views
  and experiences between researchers, users, and suppliers of neural
  technologies for forms processing in the Australian Public Service.
  (see http://www.pcug.org.au/~afreeman/otsig.html)


Special Poster Session

ACNN'96 will include a special poster session devoted to recent work and
work-in-progress. Abstracts are solicited for this session (1 page limit),
and may be submitted up to one week before the commencement of the
conference. They will not be refereed or included in the proceedings, but
will be distributed to attendees upon arrival. Students are especially
encouraged to submit abstracts for this session.


Venue

Huxley Lecture Theatre, Leonard Huxley Building, Mills Road, 
Australian National University, Canberra, Australia


Further Information

For more information on the conference (including the list of
accepted papers, pointers to information on pre-conference workshops
and tutorials, registration and accomodation information, and the
registration form), see the ACNN96 web page:

  http://wwwsyseng.anu.edu.au/acnn96/

or contact:

    ACNN'96 Secretariat
    Department of Engineering 
    FEIT
    Australian National University
    Canberra, ACT 0200
    Australia

Phone:         +61 6 249 5645
ftp site:      syseng.anu.edu.au:pub/acnn96
email:         acnn96@anu.edu.au


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

                                  ACNN'96
               Seventh Australian Conference on Neural Networks

                             Registration Form


Title & Name: ___________________________________________________________

Organisation: ___________________________________________________________

Department: _____________________________________________________________
	
Occupation: _____________________________________________________________
 	
Address: ________________________________________________________________
	
State: ____________________ Post Code: _____________ Country: ___________

Tel: (    ) __________________________	Fax: (    ) _____________________
 	
E-mail: _________________________________________________________________
	


[ ]	Find enclosed a cheque for the sum of @: ______________________

[ ]	Charge my credit card for the sum of # :________________________

	Mastercard/Visa/Bankcard# Number : _____________________________

	Valid until: ________ Signature: __________________ Date: ______ 
	


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

To register, please fill in this form and return it together with payment to :


        ACNN'96 Secretariat
        L. P. O. Box 228
        Australian National University
        Canberra, ACT 2601
        Australia

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

     @  Registration fees:  Before 16 Feb 96        After 16 Feb 96

        Full Time Students      A$ 96.00               A$120.00
        Academics               A$208.00               A$260.00
        Other                   A$304.00               A$380.00

     #	Please encircle type of card

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

From mozer@neuron.cs.colorado.edu Wed Feb 14 02:04:46 1996
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Message-Id: <199602131903.MAA29791@neuron.cs.colorado.edu>
To: connectionists@cs.cmu.edu
Subject: NIPS*96 CALL FOR PAPERS
Date: Tue, 13 Feb 1996 12:03:20 -0700
From: Mike Mozer <mozer@neuron.cs.colorado.edu>


[ Moderator's note:  Below is the NIPS*96 call for papers.  I would 
  like to remind people that many of the papers from NIPS*95 are now
  accessible online via the NIPS web site; the URL is given below.
  Also, NIPS*95 t-shirts and mousepads with the Wizard of Oz theme
  can now be ordered by mail at heavily discounted prices; see the
  NIPS web site for details.    -- Dave Touretzky ]



			      CALL FOR PAPERS

	 Neural Information Processing Systems -- Natural and Synthetic 
		  Monday December 2 - Saturday December 7, 1996 
			      Denver, Colorado


This is the tenth meeting of an interdisciplinary conference which brings
together cognitive scientists, computer scientists, engineers, neuro-
scientists, physicists, and mathematicians interested in all aspects of neural
processing and computation.  The conference will include invited talks and
oral and poster presentations of refereed papers.  The conference is single
track and is highly selective.  Preceding the main session, there will be one
day of tutorial presentations (Dec. 2), and following will be two days of
focused workshops on topical issues at a nearby ski area (Dec. 6-7).  Major 
categories for paper submission, with example subcategories, are as follows:

Algorithms and Architectures:  supervised and unsupervised learning
algorithms, constructive/pruning algorithms, decision trees, localized basis
functions, layered networks, recurrent networks, Monte Carlo algorithms,
combinatorial optimization, performance comparisons

Applications:  database mining, DNA/protein sequence analysis, expert systems, 
fault diagnosis, financial analysis, medical diagnosis, music processing,
time-series prediction

Artificial Intelligence and Cognitive Science:  perception, natural language,
human learning and memory, problem solving, decision making, inductive
reasoning, hybrid symbolic-subsymbolic systems

Control, Navigation, and Planning:  robotic motor control, process control,
navigation, path planning, exploration, dynamic programming, reinforcement
learning

Implementation:  analog and digital VLSI, optical neurocomputing systems,
novel neuro-devices, simulation tools, parallelism

Neuroscience:  systems physiology, signal and noise analysis, oscillations,
synchronization, mechanisms of inhibition and neuromodulation, synaptic
plasticity, computational models

Speech, Handwriting, and Signal Processing:  speech recognition, coding, and
synthesis, handwriting recognition, adaptive equalization, nonlinear noise
removal, auditory scene analysis

Theory:  computational learning theory, complexity theory, dynamical systems,
statistical mechanics, probability and statistics, approximation and
estimation theory

Visual Processing:  image processing, image coding and classification, object
recognition, stereopsis, motion detection and tracking, visual psychophysics


Review Criteria:  All submitted papers will be thoroughly refereed on the
basis of technical quality, significance, and clarity.  Novelty of the work
is also a strong consideration in paper selection, but, to encourage
interdisciplinary contributions, we will consider work which has been
submitted or presented in part elsewhere, if it is unlikely to have been seen
by the NIPS audience.  Authors should not be dissuaded from submitting recent
work, as there will be an opportunity after the meeting to revise accepted
manuscripts before submitting final camera-ready copy.


Paper Format:  Submitted papers may be up to seven pages in length, including
figures and references, using a font no smaller than 10 point.  Submissions
failing to follow these guidelines will not be considered.  Authors are
encouraged to use the NIPS LaTeX style files obtainable by anonymous FTP at 
the site given below.  Papers must indicate (1) physical and e-mail addresses 
of all authors; (2) one of the nine major categories listed above, and, if
desired, a subcategory; (3) if the work, or any substantial part thereof, has
been submitted to or has appeared in other scientific conferences; (4) the 
authors' preference, if any, for oral or poster presentation; this preference 
will play no role in paper acceptance; and (5) author to whom correspondence 
should be addressed.


Submission Instructions:  Send six copies of submitted papers to the address
below; electronic or FAX submission is not acceptable.  Include one
additional copy of the abstract only, to be used for preparation of the
abstracts booklet distributed at the meeting.  SUBMISSIONS MUST BE RECEIVED BY
MAY 24, 1996.  From within the U.S., submissions will be accepted if mailed
first class and postmarked by May 21, 1996.


Mail submissions to:

   Michael Jordan 
   NIPS*96 Program Chair 
   Department of Brain and Cognitive Sciences, E10-034D 
   Massachusetts Institute of Technology 
   79 Amherst Street
   Cambridge, MA  02139  USA


Mail general inquiries and requests for registration material to:

   NIPS*96 Registration 
   Conference Consulting Associates 
   451 N. Sycamore
   Monticello, IA  52310

   fax: (319) 465-6709  (attn: Denise Prull)

   e-mail: nipsinfo@salk.edu


Copies of the LaTeX style files for NIPS are available via anonymous ftp at

   ftp.cs.cmu.edu (128.2.206.173) in /afs/cs/Web/Groups/NIPS/formatting

The style files and other conference information may also be retrieved via
World Wide Web at

   http://www.cs.cmu.edu/Web/Groups/NIPS


NIPS*96 Organizing Committee: General Chair, Michael Mozer, U.  Colorado;
Program Chair, Michael Jordan, MIT; Publications Chair, Thomas Petsche,
Siemens; Tutorial Chair, John Lazzaro, Berkeley; Workshops Co-Chairs, Michael
Perrone, IBM, and Steven Nowlan, Lexicus; Publicity Chair, Suzanna Becker,
McMaster; Local Arrangements, Marijke Augusteijn, U. Colorado; Treasurer,
Eric Mjolsness, UCSD; Government/Corporate Liaison, John Moody, OGI;
Contracts, Steve Hanson, Siemens, Scott Kirkpatrick, IBM, Gerry Tesauro,
IBM.  Conference arrangements by Conference Consulting Associates,
Monticello, IA.



	    DEADLINE FOR RECEIPT OF SUBMISSIONS IS MAY 24, 1996

			    - please post -
From dcrespin@euler.ciens.ucv.ve Wed Feb 14 02:04:54 1996
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Return-Path: <dcrespin@EULER.ciens.ucv.ve>
Date: Tue, 13 Feb 96 10:52:30-040
From: "Daniel Crespin(UCV" <dcrespin@euler.ciens.ucv.ve>
Mmdf-Warning:  Parse error in original version of preceding line at DST.BOLTZ.CS.CMU.EDU
Message-Id: <9602131452.AA26199@euler.ciens.ucv.ve.ciens.ucv.ve>
To: Dave_Touretzky@cs.cmu.edu
Subject: papers available

The preprints abstracted below could be of interest.  To obtain the
preprints use a WWW browser and go to
   http://euler.ciens.ucv.ve/Professors/dcrespin/Pub/

[1] Neural Network Formalism: Neural networks are defined using only
elementary concepts from set theory, without the usual connectionistic
graphs. The typical neural diagrams are derived from these definitions.
This approach provides mathematical techniques and insight to develop
theory and applications of neural networks.

[2] Generalized Backpropagation: Global backpropagation formulas for
differentiable neural networks are considered from the viewpoint of
minimization of the quadratic error using the gradient method. The gradient
of (the quadratic error function of) a processing unit is expressed in
terms of the output error and the transposed derivative of the unit with
respect to the weight. The gradient of the layer is the product of the
gradients of the processing units. The gradient of the network equals the
product of the gradients of the layers. Backpropagation provides the
desired outputs or targets for the layers. Standard formulas for semilinear
networks are deduced as a special case.

[3] Geometry of Perceptrons: It is proved that perceptron networks are
products of characteristic maps of polyhedra. This gives insight into the
geometric structure of these networks. The result also holds for more
general (algebraic, etc.) perceptron networks, and suggests a new technique
to solve pattern recognition problems.

[4] Neural Polyhedra: Explicit formulas to realize any polyhedron as a
three layer perceptron neural network. Useful to calculate directly and
without training the architecture and weights of a network that executes a
given pattern recognition task.

[5] Pattern Recognition with Untrained Perceptrons: Gives algorithms to
construct polyhedra directly from given pattern recognition data. The
perceptron network associated to these polyhedra (see preprint above)
solves the recognition problem proposed. No network training is necessary.

Daniel Crespin
From goldfarb@unb.ca Wed Feb 14 10:03:40 1996
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Message-Id: <199602141110.TAA20510@cs.uwa.oz.au>
From: Lev Goldfarb <goldfarb@unb.ca>
To: reinforce@cs.uwa.edu.au
Cc: mccalla@cs.usask.ca
Subject: Workshop: What is inductive learning? [connectionists]
Date: Wed, 14 Feb 1996 03:05:51 -0400 (AST)


My apologies if you receive multiple copies of this message.

Please, post it. 




%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%


Call for extended abstracts: 
                   

  
                             WHAT IS INDUCTIVE LEARNING?
                    On the foundations of AI and Cognitive Science 

                             
                                   Toronto - Canada
                                
                                   May 20 - 21, 1996
              
      
	            A workshop in conjunction with the 11th Biennial 
                    Canadian AI Conference to be held at the Holiday 
                    Inn on King, Toronto during 21 - 24 May 1996
	


This workshop is a long overdue attempt to look at the inductive learning 
process (ILP) as the central process generating various representations of 
objects (events).

To this end one needs, first of all, to have a working definition of the
ILP, which has been lacking. Here is a starting point: ILP is the process
that constructs class representation on the basis of a (small) finite set
of examples, i.e. it constructs the INDUCTIVE class representation. This
class representation must, in essence, provide INDUCTIVE definition (or
construction) of the class. 

The constructed class representation, in turn, modifies the earlier
representation of the objects (within the context specified by the ILP).
Thus, any subsequent processes, e.g. pattern recognition, recall, problem
solving, are performed on the basis of the newly constructed object
(event) representations. To put it somewhat strongly, there are only
inductive representations. 

Two main and strongly related reasons why ILPs have not been perceived as
the very central processes are a lack of their adequate understanding and
a lack of their satisfactory formal model. Most of the currently popular
formal models of ILPs (including connectionist models) do not provide
satisfactory inductive class representations. One can show that inductive
class representations (in other words, representations of concepts and
categories) cannot be adequately specified within the classical (numeric)
mathematical models. 

We encourage all researchers (including graduate students) seriously
interested in the foundations of the above areas to participate in the
workshop. Both theoretical and applied contributions are welcomed
(including, of course, those related to vision, speech, and language). 

While extended abstracts will be available at the workshop, we are
planning to publish the expanded and reviewed versions of the
presentations as a special issue of journal Pattern Recognition. 



EXTENDED ABSTRACT SUBMISSION
----------------------------

Submit a copy (or e-mail version) of a 3-4 page extended abstract to 

         Lev Goldfarb          
         ILP Workshop Chair  
         Faculty of Computer Science
         University of New Brunswick
         P.O. Box 4400                          E-mail: goldfarb@unb.ca 
         Fredericton, N.B.  E3B 5A3             Tel:    506-453-4566
         Canada                                 Fax:    506-453-3566

E-mail submissions are encouraged.
                          

Important dates:
----------------

Extended abstract due:                           Monday,  March 25, 1996.
Notification & review back to the author:        Friday   April 5,  1996. 
Final extended abstract due:                     Monday   April 22, 1996.




For more information about the Canadian AI Conference which is held in 
conjunction with two other conferences (Vision Interface and Graphics 
Interface) see:

http://ai.iit.nrc.ca/cscsi/conferences/ai96.html


%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%


 
-- Lev Goldfarb         

http://wwwos2.cs.unb.ca/profs/goldfarb/goldfarb.htm



Please e-mail to me:
_____________________________________________________________________________

  I intend to submit an abstract             __

  I plan to attend the workshop              __
_____________________________________________________________________________

From iconip@cs.cuhk.hk Thu Feb 15 00:01:51 1996
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Date: Wed, 14 Feb 1996 18:13:26 +0800
From: ICONIP96 <iconip@cs.cuhk.hk>
Message-Id: <199602141013.SAA00808@cs.cuhk.hk>
To: iconip96-list@cs.cuhk.hk
Subject: ICONIP'96 EXTENSION OF PAPER SUBMISSION DEADLINE

======================================================================
We apologize should you receive multiple copies of this CFP from 
different sources.
======================================================================

          ************************************************
          ICONIP'96 EXTENSION OF PAPER SUBMISSION DEADLINE 
          ************************************************

                1996 International Conference
                             on
                Neural Information Processing
  
  The Annual Conference of the Asian Pacific Neural Network Assembly
              ICONIP'96, September 24 - 27, 1996

    Hong Kong Convention and Exhibition Center, Wan Chai, Hong Kong

                        In cooperation with
          IEEE / NNC --IEEE Neural Networks Council
          INNS - International Neural Network Society
          ENNS - European Neural Network Society
          JNNS - Japanese Neural Network Society
          CNNC - China Neural Networks Council
  
======================================================================


In consideration of  many requests from Europe, USA as well as Asia Pacific 
region for a possible extension of  paper submission deadline for ICONIP'96, 
the ICONIP'96 Organizing Committee has decided to extend the paper 
submission deadline.


 ----- The Extended Paper Submission Deadline :   March 10, 1996 ----


The goal of ICONIP'96 is to provide a forum for researchers and
engineers from academia and industry to meet and to exchange ideas on
the latest developments in neural information processing.  The
conference also further serves to stimulate local and regional
interests in neural information processing and its potential
applications to industries indigenous to this region.  The conference
consists of two tracks. One is SCIENTIFIC TRACK for the latest results
on Theories, Technologies, Methods, Architectures and Algorithms in
neural information processing.  The other is APPLICATION TRACK for
various neural network applications in any engineering/technical field
and any business/service sector.  There will be a one-day tutorial on
the neural networks for capital markets which reflects Hong Kong's
local interests on financial services.  In addition, there will be
several invited lectures in the main conference.

Hong Kong is one of the most dynamic cities in the world with
world-class facilities, easy accessibility, exciting entertainment,
and high levels of service and professionalism.  Come to Hong Kong!
Visit this Eastern Pearl in this historical period before Hong Kong's
return to China in 1997.


                         *********************  
                         CONFERENCE'S SCHEDULE  
                         *********************
                           
        Submission of paper (extended)         March 10, 1996  
        Notification of acceptance             May 1, 1996  
        Tutorial on Financial Engineering      Sept. 24, 1996
        Conference                             Sept. 25-27, 1996

 ***                                                                  ***
 *** The Conference Proceedings will be published by Springer Verlag. *** 
 ***                                                                  ***
 
Registration forms, detailed tutorial information, invited talks
and other related information will be available on the WWW site
in due course.

                 **********************************
                 Tutorials On Financial Engineering
                 **********************************

1. Professor John Moody, Oregon Graduate Institute, USA
     "Time Series Modeling: Classical and Nonlinear Approaches"

2. Professor Halbert White, University California, San Diego, USA
     "Option Pricing In Modern Finance Theory and the Relevance Of 
      Artificial Neural Networks"

3. Professor A-P. N. Refenes, London Business School, UK
      "Neural Networks in Financial Engineering"


                                *************
                                Keynote Talks
                                *************
                                
1. Professor Shun-ichi Amari, Tokyo University.
     "Information Geometry of Neural Networks"

2. Professor Yaser Abu-Mostafa, California Institute of Technology, USA
     "The Bin Model for Learning and Generalization"

3. Professor Leo Breiman, University California, Berkeley, USA
     "Democratizing Predictors"

4. Professor Christoph von der Malsburg, Ruhr-Universitat Bochum, Germany
     "Scene Analysis Based on Dynamic Links" (tentatively)

5. Professor Erkki Oja, Helsinki University of Technology, Finland
     "Blind Signal Separation by Neural Networks "


                               **************
                               Honored  Talks
                               **************
 
 1. Rolf Eckmiller, University of Bonn,  Germany
     "Concerning the Development of Retina Implants with Neural Nets"
 
 2. Mitsuo Kawato, ATR Human Information Processing Research Lab, Japan
     "Generalized Linear Model Analysis of Cerebellar Motor Learning"
 
 3. Kunihiko Fukushima, Osaka University,  Japan
     "To be announced"

*** PLUS AROUND 20 INVITED PAPERS GIVEN BY WELL KNOWN RESEARCHERS IN
     THE FIELD. ***

                       *****************  
                       CONFERENCE TOPICS
                       *****************  

SCIENTIFIC TRACK:                   APPLICATION TRACK:
-----------------                   ------------------
* Theory                            * Foreign Exchange
* Algorithms & Architectures        * Equities & Commodities
* Supervised Learning               * Risk Management
* Unsupervised Learning             * Options & Futures
* Hardware Implementations          * Forecasting & Strategic Planning
* Hybrid Systems                    * Government and Services
* Neurobiological Systems           * Geophysical Sciences
* Associative Memory                * Telecommunications
* Visual & Speech Processing        * Control & Modeling
* Intelligent Control & Robotics    * Manufacturing
* Cognitive Science & AI            * Chemical Engineering
* Recurrent Net & Dynamics          * Transportation
* Image Processing                  * Environmental Engineering
* Pattern Recognition               * Remote Sensing
* Computer Vision                   * Defense
* Time Series Prediction            * Multimedia Systems
* Optimization                      * Document Processing
* Fuzzy Logic                       * Medical Imaging
* Evolutionary Computing            * Biomedical Application
* Other Related Areas               * Other Related Applications


                         **********************
                         SUBMISSION INFORMATION  
                         **********************  

Authors are invited to submit one camera-ready original (do not 
staple) and five copies of the manuscript written in English on 
A4-format (or letter) white paper with 25 mm (1 inch) margins on all 
four sides, in one column format, no more than six pages (four pages 
preferred) including figures and references, single-spaced, in 
Times-Roman or similar font of 10 points or larger, without page 
numbers, and printed on one side of the page only.  Electronic or fax 
submission is not acceptable.  Additional pages will be charged at USD 
$50 per page.

Centered at the top of the first page should be the complete title, 
author(s), affiliation, mailing, and email addresses, followed by an 
abstract (no more than 150 words) and the text.  Each submission 
should be accompanied by a cover letter indicating the contacting 
author, affiliation, mailing and email addresses, telephone and fax 
number, and preference of track, technical session(s), and format of 
presentation, either oral or poster.  All submitted papers will be 
refereed by experts in the field based on quality, clarity, 
originality, and significance.


Authors may also retrieve the ICONIP style, "iconip.tex" and
"iconip.sty" files for the conference by anonymous FTP at
ftp.cs.cuhk.hk in the directory /pub/iconip96.
  
The address for paper submissions, registration and information 
inquiries:
  
          ICONIP'96 Secretariat   
          Department of Computer Science  and Engineering
          The Chinese University of Hong Kong  
          Shatin, N.T., Hong Kong  
          Fax (852) 2603-5024  
          E-mail: iconip96@cs.cuhk.hk  
          http://www.cs.cuhk.hk/iconip96  


                      *****************************
                      CONFERENCE'S REGISTRATION FEE 
                      *****************************
 
      On & Before July 1, 1996,        Member        HKD $2,800
      On & Before July 1, 1996,        Non-Member    HKD $3,200 
      Late & On-Site,                  Member        HKD $3,200 
      Late & On-Site,                  Non-Member    HKD $3,600 
      Student Registration Fee                       HKD $1,000
 

======================================================================
                                  
General Co-Chairs
=================
Omar Wing, CUHK
Shun-ichi Amari, Tokyo U.

Advisory Committee
==================     
International
-------------
Yaser Abu-Mostafa, Caltech
Michael Arbib, U. Southern Cal.
Leo Breiman, UC Berkeley
Jack Cowan, U. Chicago
Rolf Eckmiller, U. Bonn
Jerome Friedman, Stanford U.
Stephen Grossberg, Boston U.
Robert Hecht-Nielsen, HNC
Geoffrey Hinton, U. Toronto
Anil Jain, Michigan State U.
Teuvo Kohonen, Helsinki U. of Tech.
Sun-Yuan Kung, Princeton U.
Robert Marks, II, U. Washington
Thomas Poggio, MIT
Harold Szu, US Naval SWC
John Taylor, King's College London
David Touretzky, CMU
C. v. d. Malsburg, Ruhr-U. Bochum
David Willshaw, Edinburgh U.
Lofti Zadeh, UC Berkeley
     
Asia-Pacific Region
-------------------
Marcelo H. Ang Jr, NUS, Singapore
Sung-Yang Bang, POSTECH, Pohang
Hsin-Chia Fu, NCTU., Hsinchu
Toshio Fukuda, Nagoya U., Nagoya
Kunihiko Fukushima, Osaka U., Osaka
Zhenya He, Southeastern U., Nanjing
Marwan Jabri, U. Sydney, Sydney
Nikola Kasabov, U. Otago, Dunedin
Yousou Wu, Tsinghua U., Beijing

Organizing Committee
====================           
L.W. Chan (Co-Chair), CUHK
K.S. Leung (Co-Chair), CUHK
D.Y. Yeung (Finance), HKUST
C.K. Ng (Publication), CityUHK
A. Wu (Publication), CityUHK
B.T. Low (Publicity), CUHK
M.W. Mak (Local Arr.), HKPU
C.S. Tong (Local Arr.), HKBU
T. Lee (Registration), CUHK
K.P. Chan (Tutorial), HKU
H.T. Tsui (Industry Liaison), CUHK
I. King (Secretary), CUHK


Program Committee
=================       
Co-Chairs
---------
Lei Xu, CUHK
Michael Jordan, MIT
Erkki Oja, Helsinki U. of Tech.
Mitsuo Kawato, ATR
          
Members
-------
Yoshua Bengio, U. Montreal
Jim Bezdek, U. West Florida
Chris Bishop, Aston U.
Leon Bottou, Neuristique
Gail Carpenter, Boston U.
Laiwan Chan, CUHK
Huishen Chi, Peking U.
Peter Dayan, MIT
Kenji Doya, ATR
Scott Fahlman, CMU
Francoise Fogelman, SLIGOS
Lee Giles, NEC Research Inst.
Michael Hasselmo, Harvard U.
Kurt Hornik, Technical U. Wien
Yu Hen Hu, U. Wisconsin - Madison
Jeng-Neng Hwang, U. Washington
Nathan Intrator, Tel-Aviv U.
Larry Jackel, AT&T Bell Lab
Adam Kowalczyk, Telecom Australia
Soo-Young Lee, KAIST
Todd Leen, Oregon Grad. Inst.
Cheng-Yuan Liou, National Taiwan U.
David MacKay, Cavendish Lab
Eric Mjolsness, UC San Diego
John Moody, Oregon Grad. Inst.
Nelson Morgan, ICSI
Steven Nowlan, Synaptics
Michael Perrone, IBM Watson Lab
Ting-Chuen Pong, HKUST
Paul Refenes, London Business School
David Sanchez, U. Miami
Hava Siegelmann, Technion
Ah Chung Tsoi, U. Queensland
Benjamin Wah, U. Illinois
Andreas Weigend, Colorado U.
Ronald Williams, Northeastern U.
John Wyatt, MIT
Alan Yuille, Harvard U.
Richard Zemel, CMU
Jacek Zurada, U. Louisville





From lawrence@s4.elec.uq.edu.au Thu Feb 15 00:01:53 1996
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From: Steve Lawrence <lawrence@s4.elec.uq.edu.au>
Message-Id: <199602141502.BAA05378@s4.elec.uq.edu.au>
Subject: Paper on neural network simulation available
To: Connectionists@cs.cmu.edu, neuron@CATTELL20.psych.upenn.edu
Date: Thu, 15 Feb 1996 01:02:07 +1000 (EST)
X-Mailer: ELM [version 2.4 PL25]
Mime-Version: 1.0
Content-Type: text/plain; charset=US-ASCII
Content-Transfer-Encoding: 7bit

It has been estimated that 85% of neural network researchers
write their own simulation software. The following paper deals
with correctness and efficiency in neural network simulation. 
We present several techniques which we have used in the 
implementation of our own simulator. We welcome your 
comments.


http://www.elec.uq.edu.au/~lawrence		- Australia
http://www.neci.nj.nec.com/homepages/lawrence	- USA


   Correctness, Efficiency, Extendability and Maintainability 
	  	 in Neural Network Simulation

 		         ABSTRACT

A large number of neural network simulators are publicly available to
researchers, many free of charge. However, when a new paradigm is
being developed, as is often the case, the advantages of using
existing simulators decrease, causing most researchers to write their
own software.  It has been estimated that 85% of neural network
researchers write their own simulators. We present techniques and
principles for the implementation of neural network simulators.  First
and foremost, we discuss methods for ensuring the correctness of
results - avoiding duplication, automating common tasks, using
assertions liberally, implementing reverse algorithms, employing
multiple algorithms for the same task, and using extensive
visualization.  Secondly, we discuss efficiency concerns, including
using appropriate granularity object-oriented programming, and
pre-computing information whenever possible.
From ronnyk@starry.engr.sgi.com Thu Feb 15 23:33:47 1996
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          15 Feb 96 22:59:21 EST
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          15 Feb 96 22:44:15 EST
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          15 Feb 96 22:43:34 EST
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	 id OAA15759; Thu, 15 Feb 1996 14:58:02 -0800
Date: Thu, 15 Feb 1996 14:58:02 -0800
From: Ronny Kohavi <ronnyk@starry.engr.sgi.com>
Message-Id: <199602152258.OAA15759@starry.engr.sgi.com>
To: connectionists@cs.cmu.edu
Subject: MLC++ : Machine learning library in C++
Reply-To: ronnyk@cthulhu.engr.sgi.com


MLC++ is a machine learning library developed in C++.
MLC++ is public domain and can be used free of charge,
including use of the source code.

MLC++ contains common induction algorithms, such as ID3,
nearest-neighbors, naive-bayes, oneR (Holte), winnow, and decision
tables, all written under a single framework.

MLC++ also contains interfaces to common algorithms, such
as C4.5, PEBLS, IB1-4,  OC1, CN2.

MLC++ contains wrappers to wrap around algorithms.
These include: feature selection, discretization filters,
automatic parameter setting for C4.5, bagging/combinining classifiers,
and more.

Finally, MLC++ contains common accuracy estimation methods, such as
holdout, cross-validation, and bootstrap .632.

Interfaces to existing algorithms are not hard to create and
implementing new algorithms in MLC++ is possible with added benefits
(some procedures work only on induction algorithms implemented in
MLC++ as opposed to interfaced ones).

Object code for MLC++ utilities is provided for Silicon Graphic
machines running Irix 5.3.

To contact us, send e-mail to: mlc@postofc.corp.sgi.com
Visit our web page at: http://www.sgi.com/Technology/mlc/

--

   Ronny Kohavi (ronnyk@sgi.com, http://robotics.stanford.edu/~ronnyk)

From ertel@fbe.FH-Weingarten.DE Fri Feb 16 21:23:27 1996
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To: connectionists@cs.cmu.edu, hybrid-list@cs.ua.edu, mix@loria.fr
Cc: 
Subject: CFA: Autumn School on HYBRID SYSTEMS
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-------------------------------------------------------------------------------
* web page:     http://www.fh-weingarten.de/homepags/doz/ertel/ashs.htm
* LaTeX source: enclosed below
-------------------------------------------------------------------------------

                       AUTUMN SCHOOL
                            on
            HYBRID SYMBOLIC CONNECTIONIST SYSTEMS
  
             Ravensburg -- Weingarten (Germany) 
                   September 25--28, 1996 
 
                      organized  by                          
           ESPRIT BASIC RESEARCH PROJECT 9119 (MIX)          

                   "Modular Integration of               
             Connectionist and Symbolic Processing         
                  in Knowledge-Based Systems"              

The combination of symbolic and connectionist systems is one of the
currently most challenging and interesting fields of Artificial
Intelligence. This school introduces students as well as active
researchers to this new and promising direction of research.

Most symbolic systems are more or less logic based and therefore
perform deductive reasoning on expert knowledge, but have severe
problems with inductive reasoning. On the other hand neural networks
are good in inductive reasoning based on data, but are less apt to
perform deductive reasoning. Another view of this problem is the
integration of prior knowledge (e.g.  expert knowledge) into an
inductive system.

The lectures will give an insight into the ongoing research in the
field where the fundamental theory as well as practical solutions for
concrete applications will be presented.

Participants are expected to have basic knowledge of Neural Networks
and Artificial Intelligence.

 
                         LECTURES                 

There will be 6 lectures  each consisting of 4 x 45 min lessons.

1) Melanie Hilario (Univ.  Geneva), Abderrahim Labbi (Univ.  Grenoble),
   Wolfgang Ertel (FH Weingarten): 
	A Framework for the Modular Integration of Knowledge and Data
	in Hybrid Systems   

2) Alessandro Sperduti (Univ.  Pisa): 
	Neural Networks for the Processing of Structures 

3) Jose Gonzales and Juan R. Velasco (Univ.  Madrid):
	 A Comprehensive View of Fuzzy-Neural Hybrids 

4)  Michael Kaiser (Univ.  Karlsruhe):
	 Combining Symbolic and Connectionist Techniques in Adaptive Control  

5) NN 
  
6) NN 

                        POSTER SESSION                

The attendees of the autumn school are encouraged to bring along a
poster (size about 40   60 cm) which gives insight into their
research work, the project they are working in, etc. which shall be
presented in a poster session.

                      DIRECTORS OF THE SCHOOL

		Wolfgang Ertel, FH Ravensburg-Weingarten            
			Bertram Fronhoefer TU Munich           


                        GENERAL INFORMATION            

PARTICIPATION FEES:                               
 - Students:   ECU 150.--                 
 - University: ECU 250.--                 
 - Industry:   ECU 400.--              

DEADLINE FOR APPLICATION:  April 12, 1996

NOTIFICATION OF ACCEPTANCE:  May 22, 1996

Applications should be sent preferably by email to: 
	ashs@fl-sun00.fbe.fh-weingarten.de
 
Applications should contain a full address and a short statement about
the applicants scientific qualification (student, PhD student,
industrial researcher, etc.) and his interests in the topics of the
autumn school. If email is not available, applications by surface
mail should be sent to:

Wolfgang Ertel			Phone: +49--751--501--721
FH Ravensburg-Weingarten	Fax: +49--751--501--749
Postfach 1261 
D-88241 Weingarten 

Attendance to the school will be limited to about 50 participants.

LANGUAGE:  All lectures will be in English.

LECTURE SITE:  The lectures will be given in the Informatik Zentrum
  of the Fachhochschule Ravensburg-Weingarten and will start on
  September 25 in the morning. 

ACCOMODATION:  
  Apart from a large range of hotels with prizes from DM 40.-- till DM
  200.--, there are also limited occasions for inexpensive student
  lodging. Low price lunch will be provided by the Mensa (canteen) of
  the Fachhochschule Ravensburg-Weingarten.

LOCATION: 
  Weingarten and its immediate neighbour-city Ravensburg with about
  70000 inhabitants represent the economic and cultural heart of
  Oberschwaben. Above the valley of the river Schussen the famous
  basilica of Weingarten together with the adjacent old Benedictine
  abbey is one of the most significant baroque constructions north of
  the alps. Close to and partly inside the baroque buildings of the
  abbey is the Fachhochschule, a university for engineering and social
  sciences where the school will take place. 

  Oberschwaben is a rural pre-alpine area with various little lakes and
  fens, located in the south-west of Germany, close to the lake of
  Konstanz and the borders to Austria and Switzerland. The alps are not
  far (an hour by car or train) and the lake of Konstanz  provides all
  facilities for marine outdoor activities.

For further information and inquiries concerning participation please
send an e-mail message to the above address.  This call as well as
futher information is available from the WWW-page:

   http://www.fh-weingarten.de/homepags/doz/ertel/ashs.htm 

%%%%%%%%%%%%%%%%%%%%%%%%%%%%% LaTeX source %%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%%
\documentstyle[12pt]{article}
\nonstopmode
\parindent=0pt
\parskip=4pt
\hoffset=-10mm
\voffset=-15mm
\textheight=240mm 
\textwidth=175mm
\oddsidemargin=0mm
\evensidemargin=0mm
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\newenvironment{alist}{\begin{list}{}{\itemsep 1mm \parsep 0mm}}{\end{list}}

\begin{document}
\bibliographystyle{alpha}
\begin{centering}
{\Large\bf
                        AUTUMN SCHOOL 

                             on

                HYBRID SYMBOLIC CONNECTIONIST SYSTEMS
}
{\large
                FH Ravensburg--Weingarten (Germany) 

                    September 25--28, 1996 
}


\bigskip
                          organized  by                         \\[1ex]
{\large         ESPRIT BASIC RESEARCH PROJECT 9119 (MIX)        }\\[1ex]
                        "Modular Integration of              \\
                 Connectionist and Symbolic Processing        \\
                        in Knowledge-Based Systems"             \\

\end {centering}

\bigskip
\bigskip

The combination of symbolic and connectionist systems is one of the
currently most challenging and interesting fields of Artificial
Intelligence. This school introduces students as well as active
researchers to this new and promising direction of research.

Most symbolic systems are more or less logic based and therefore
perform deductive reasoning on expert knowledge, but have severe
problems with inductive reasoning. On the other hand neural networks
are good in inductive reasoning based on data, but are less apt to
perform deductive reasoning. Another view of this problem is the
integration of prior knowledge (e.g.\ expert knowledge) into an inductive
system.

The lectures will give an insight into the ongoing research in the
field where the fundamental theory as well as practical solutions for
concrete applications will be presented.

Participants are expected to 
have basic  knowledge of Neural Networks and Artificial Intelligence.

\bigskip
\begin{centering}
{\bf                            Lectures}               \\
There will be 6 lectures  each consisting of 4 x 45 min lessons.
\end {centering}

\begin{alist}
\item[1.] Melanie Hilario (Univ.\ Geneva), Abderrahim
Labbi (Univ.\ Grenoble), Wolfgang Ertel \\(FH~Weingarten):\\
\tit{A Framework for the Modular Integration of 
	   Knowledge and Data in Hybrid Systems} 

\item[2.] Alessandro Sperduti (Univ.\ Pisa): \tit{Neural Networks for
	the Processing of Structures}

\item[3.] Jose Gonzales and Juan R. Velasco (Univ.\ Madrid):\\
	\tit{A Comprehensive View of Fuzzy-Neural Hybrids}

\item[4.] Michael Kaiser (Univ.\ Karlsruhe):\\
	\tit{Combining Symbolic and Connectionist Techniques in
	     Adaptive Control} 

\item[5.] NN 
\item[6.] NN 
\end{alist}

\medskip
\begin{centering}
{\bf                            Poster Session               \\}
\end {centering}

The attendees of the autumn school are encouraged to bring along a
poster (size about 40 $\times$ 60 cm) which gives insight into their
research work, the project they are working in, etc. which shall be
presented in a poster session.

\newpage
\begin{centering}
{\bf                    Directors of the School
}

Wolfgang Ertel, FH Ravensburg-Weingarten           \\
Bertram Fronh\"ofer, TU Munich          \\

\bigskip
{\bf                      General Information           \\
}
\end {centering}

{\bf Participation fees:}                             \\
\begin{tabular}{ll}
 -- Students : & ECU 150.--                \\
 -- University : & ECU 250.--                \\
 -- Industry : & ECU 400.--              
\end{tabular}


{\bf Deadline for Application:} April 12, 1996

{\bf Notification of Acceptance:} May 22, 1996

Applications should be sent preferably by email to:
{\tt    ashs@fl-sun00.fbe.fh-weingarten.de}
\\
Applications should contain a full address and a short statement about
the applicants scientific qualification (student, PhD student,
industrial researcher, etc.)
and his interests in the topics of the autumn school.
If email is not available, applications by surface mail should be sent to:
%
\begin{center}
\parbox[t]{6cm}{Wolfgang Ertel\\
FH Ravensburg-Weingarten\\
Postfach 1261\\
D-88241 Weingarten}
\parbox[t]{6cm}{Phone: +49--751--501--721\\
Fax: +49--751--501--749}
\end{center}
%
Attendance to the school will be limited to about 50 participants.

{\bf Language:} All lectures will be in English.

{\bf Lecture site:} The lectures will be given in the 
Informatik Zentrum of the Fachhochschule Ravensburg-Weingarten and will 
start on September 25 in the morning.

{\bf Accomodation:} 
Apart from a large range of hotels with prizes from 
DM 40.-- till DM 200.--, 
there are also limited occasions for inexpensive student lodging.
Low price lunch will be provided by the Mensa (canteen) of the
Fachhochschule Ravensburg-Weingarten.

{\bf Location:}
Weingarten and its immediate neighbour-city Ravensburg with about
70000 inhabitants represent the economic and cultural heart of
Oberschwaben. Above the valley of the river Schussen the famous
basilica of Weingarten together with the adjacent old Benedictine
abbey is one of the most significant baroque constructions north of
the alps. Close to and partly inside the baroque buildings of the
abbey is the Fachhochschule, a university for engineering and social
sciences where the school will take place.\\
Oberschwaben is a rural pre-alpine area with various little lakes and
fens, located in the south-west of Germany, close to the lake of
Konstanz and the borders to Austria and Switzerland. The alps are not
far (an hour by car or train) and the lake of Konstanz  provides all
facilities for marine outdoor activities.

For further information and inquiries concerning participation please send an 
e-mail message to the above address.
This call as well as futher information is available 
from the WWW-page:\\
{\tt http://www.fh-weingarten.de/homepags/doz/ertel/ashs.htm}
\end{document}
From erik@bbf.uia.ac.be Fri Feb 16 21:23:32 1996
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Date: Thu, 15 Feb 1996 13:38:40 GMT
From: Erik De Schutter <erik@bbf.uia.ac.be>
Message-Id: <199602151338.NAA02343@kuifje.bbf.uia.ac.be>
To: connectionists@cs.cmu.edu
Subject: Crete Course in Computational Neuroscience

                                 SECOND CALL

                 CRETE COURSE IN COMPUTATIONAL NEUROSCIENCE

                       AUGUST 25 - SEPTEMBER 20, 1996

                                CRETE, GREECE

DIRECTORS:    Erik  De Schutter (University of Antwerp, Belgium)
              Idan Segev (Hebrew University, Jerusalem, Israel)
              Jim Bower (California Institute of Technology, USA)
              Adonis Moschovakis (University of Crete, Greece)


The Crete Course in Computational Neuroscience introduces students to 
the practical application of computational methods in neuroscience, in 
particular how to create biologically realistic models of neurons and 
networks.  

The course consists of two complimentary parts.  A distinguished 
international faculty gives morning lectures on topics in experimental 
and computational neuroscience.  The rest of the day is spent learning 
how to use simulation software and how to implement a model of the 
system the student wishes to study.  The first week of the course 
introduces students to the most important techniques in modeling single 
cells, networks and neural systems.  Students learn how to use the 
GENESIS, NEURON, XPP and other software packages on their individual 
unix workstations.  During the following three weeks the lectures will 
be more general, moving from modeling single cells and subcellular 
processes through the simulation of simple circuits and large neuronal 
networks and, finally, to system level models of the cortex and the brain. 
The course ends with a presentation of the student modeling projects.

The Crete Course in Computational Neuroscience is designed for advanced 
graduate students and postdoctoral fellows in a variety of disciplines, 
including neurobiology, physics, electrical engineering, computer science 
and psychology.  Students are expected to have a basic background in 
neurobiology as well as some computer experience.  A total of 25 students 
will be accepted, the majority of whom will be from the European Union
and affiliated countries.  A tuition fee of 500 ECU ($700) covers lodging, 
travel from EC countries to Crete and all course-related expenses for 
European nationals.  We specifically encourage applications from 
researchers younger than 35, from researchers who work in less-favoured 
regions, from women and from researchers from industry.  We encourage 
students from the Far East and the USA to also apply to this inter-
national course.

More information and application forms can be obtained:
   - WWW access: http://bbf-www.uia.ac.be/CRETE/Crete_index.html
   - by mail:  Prof. E. De Schutter
               Born-Bunge Foundation
               University of Antwerp - UIA, 	 
               Universiteitsplein 1
               B2610 Antwerp
               Belgium
	       FAX: +32-3-8202541
   - email: crete_course@bbf.uia.ac.be

APPLICATION DEADLINE:  April 10th, 1996.  Applicants will be notified of the
                       results of the selection procedures before May 1st.

FACULTY: M. Abeles (Hebrew University, Jerusalem, Israel), D.J. Amit 
         (University of Rome, Italy and Hebrew University, Israel), 
         A. Berthoz (College de France, France), R.E. Burke  (NIH, USA), 
         C.E. Carr (University of Maryland, USA), A. Destexhe (Universite
         Laval, Canada), R.J. Douglas (Institute of Neuroinformatics, 
         Zurich, Switzerland), T. Flash (Weizmann Institute, Rehovot, 
         Israel), A. Grinvald (Weizmann Institute, Israel), J.J.B. Jack 
         (Oxford University, England), C. Koch (California Institute of 
         Technology, USA), H. Korn (Institut Pasteur, France), A. Lansner 
         (Royal Institute Technology, Sweden), R. Llinas (New York 
         University, USA), E. Marder (Brandeis University, USA), M. 
         Nicolelis (Duke University, USA), J.M. Rinzel (NIH, USA), W. 
         Singer (Max-Planck Institute, Frankfurt, Germany), S. Tanaka 
         (RIKEN, Japan), A.M. Thomson (Royal Free Hospital, England), 
         S. Ullman (Weizmann Institute, Israel), Y. Yarom (Hebrew 
         University, Israel).

The Crete Course in Computational Neuroscience is supported by the 
European Commission (4th Framework Training and Mobility of Researchers 
program) and by The Brain Science Foundation (Tokyo). 

Local administrative organization: the Institute of Applied and 
Computational Mathematics of FORTH (Crete, GR).

From harnad@cogsci.soton.ac.uk Fri Feb 16 21:23:35 1996
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From: Stevan Harnad <harnad@cogsci.soton.ac.uk>
Date: Thu, 15 Feb 96 17:58:05 GMT
Message-Id: <18060.9602151758@cogsci.ecs.soton.ac.uk>
To: cogneuro@ptolemy-ethernet.arc.nasa.gov, connectionists@cs.cmu.edu,
        Eye Movement List <eyemov-l@SPCVXA.SPC.EDU>, neuro1-l@uicvm.bitnet,
        neuromotor-control@ai.mit.edu
Subject: Cerebellum and Sequences: BBS Call for Commentators


    Below is the abstract of a forthcoming target article on:

        THE DETECTION AND GENERATION OF SEQUENCES AS A KEY TO
        CEREBELLAR FUNCTION.  EXPERIMENTS AND THEORY
        by V. Braitenberg, D. Heck and F. Sultan

This article has been accepted for publication in Behavioral and Brain
Sciences (BBS), an international, interdisciplinary journal providing
Open Peer Commentary on important and controversial current research in
the biobehavioral and cognitive sciences.

Commentators must be current BBS Associates or nominated by a current
BBS Associate. To be considered as a commentator for this article, to
suggest other appropriate commentators, or for information about how to
become a BBS Associate, please send email to:

bbs@ecs.soton.ac.uk or write to:

    Behavioral and Brain Sciences
    Department of Psychology
    University of Southampton
    Highfield, Southampton
    SO17 1BJ UNITED KINGDOM
    http://cogsci.ecs.soton.ac.uk/~harnad/bbs.html
    gopher://gopher.princeton.edu:70/11/.libraries/.pujournals
    ftp://ftp.princeton.edu/pub/harnad/BBS
    
To help us put together a balanced list of commentators, please give
some indication of the aspects of the topic on which you would bring
your areas of expertise to bear if you were selected as a commentator.
An electronic draft of the full text is available for inspection by
anonymous ftp (or gopher or world-wide-web) according to the
instructions that follow after the abstract.
____________________________________________________________________

        THE DETECTION AND GENERATION OF SEQUENCES AS A KEY TO
        CEREBELLAR FUNCTION.  EXPERIMENTS AND THEORY

                    Valentino Braitenberg, Detlef Heck and
                    Fahad Sultan
                    Max-Planck-Institute for biological cybernetics
                    Spemannstr. 38
                    72076 Tuebingen
                    Germany

    KEYWORDS: Cerebellum; motor control; allometric relation;
    parallel fibers; synchronicity; spatio-temporal activity;
    sequence addressable memory; cerebro-cerebellar interaction.

    ABSTRACT:Starting from macroscopic and microscopic facts of
    cerebellar histology, we propose a new functional interpretation
    which may elucidate the role of the cerebellum in movement control.
    Briefly, the idea is that the cerebellum is a large collection of
    individual lines (Eccles' "beams") which respond specifically to
    certain sequences of events in the input and in turn produce
    sequences of signals in the output. We believe that the sequence in
    - sequence out mode operation is as typical for the cerebellar
    cortex as the transformation of sets into sets of active neurons is
    typical for the cerebral cortex, and that both the histological
    differences between the two and their reciprocal functional
    interactions become understandable in the light of this dichotomy.
    The response of Purkinje cells to sequences of stimuli in the mossy
    fiber system was shown experimentally by Heck on surviving slices
    of rat and guinea pig cerebellum. Sequential activation of a row of
    eleven stimulating electrodes in the granular layer, imitating a
    "movement" of the stimuli along the folium, produces a powerful
    volley in the parallel fibers which strongly excites Purkinje
    cells, as evidenced by intracellular recording.  The volley, or
    "tidal wave" has maximal amplitude when the stimulus moves towards
    the recording site at the speed of conduction in parallel fibers,
    and much smaller amplitudes for lower or higher "velocities". The
    succession of stimuli has no effect when they "move" in the
    opposite direction.  Synchronous activation of the stimulus
    electrodes also had hardly any effect.  We believe that the
    sequences of mossy fiber activation which normally produce this
    effect in the intact cerebellum are a combination of motor
    planning, relayed to the cerebellum by the cerebral cortex, and
    information about ongoing movement, reaching the cerebellum from
    the spinal cord. The output elicited by the specific sequence to
    which a "beam" is tuned may well be a succession of well timed
    inhibitory volleys "sculpting" the motor sequences so as to adapt
    them to the complicated requirements of the physics of a
    multi-jointed system.

--------------------------------------------------------------
To help you decide whether you would be an appropriate commentator for
this article, an electronic draft is retrievable by anonymous ftp from
ftp.princeton.edu according to the instructions below (the filename is
bbs.braitenberg). Please do not prepare a commentary on this draft.
Just let us know, after having inspected it, what relevant expertise
you feel you would bring to bear on what aspect of the article.
-------------------------------------------------------------
These files are also on the World Wide Web and the easiest way to
retrieve them is with Netscape, Mosaic, gopher, archie, veronica, etc.
Here are some of the URLs you can use to get to the BBS Archive:

    http://www.princeton.edu/~harnad/bbs.html
    http://cogsci.ecs.soton.ac.uk/~harnad/bbs.html
    gopher://gopher.princeton.edu:70/11/.libraries/.pujournals
    ftp://ftp.princeton.edu/pub/harnad/BBS/bbs.braitenberg
    ftp://cogsci.ecs.soton.ac.uk/pub/harnad/BBS/bbs.braitenberg

To retrieve a file by ftp from an Internet site, type either:
ftp ftp.princeton.edu
   or
ftp 128.112.128.1
   When you are asked for your login, type:
anonymous
   Enter password as queried (your password is your actual userid:
   yourlogin@yourhost.whatever.whatever - be sure to include the "@")
cd /pub/harnad/BBS
   To show the available files, type:
ls
   Next, retrieve the file you want with (for example):
get bbs.braitenberg
   When you have the file(s) you want, type:
quit

----------
Where the above procedure is not available there are two fileservers:
ftpmail@decwrl.dec.com
       and
bitftp@pucc.bitnet
that will do the transfer for you. To one or the
other of them, send the following one line message:

help

for instructions (which will be similar to the above, but will be in
the form of a series of lines in an email message that ftpmail or
bitftp will then execute for you).

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

From goldfarb@unb.ca Sat Feb 17 03:02:19 1996
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Return-Path: <goldfarb@jupiter.sun.csd.unb.ca>
Date: Fri, 16 Feb 1996 14:30:54 -0400 (AST)
From: Lev Goldfarb <goldfarb@unb.ca>
X-Sender: goldfarb@jupiter.sun.csd.unb.ca
To: Dave_Touretzky@cs.cmu.edu
Cc: Lev Goldfarb CS <goldfarb@unb.ca>
Subject: Workshop: What is inductive learning? 
Message-Id: <Pine.SUN.3.91.960216135407.26872B-100000@jupiter.sun.csd.unb.ca>
Mime-Version: 1.0
Content-Type: TEXT/PLAIN; charset=US-ASCII


Dear connectionists:

The following workshop should be of particular interest to the
connectionist community, since not only the topic itself was motivated by
the resent developments in cognitive science and AI as they are being
affected by connectionist movement, but also one of the main arguments
that is going to be presented at the workshop is that to capture
the main goals of the "connectionist movement" one needs to change 
fundamentally the underlying architectures from the numeric to the  
appropriately redefined "symbolic" architectures.



My apologies if you receive multiple copies of this message.

Please, post it. 



%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%


Call for extended abstracts: 
                   
  
                             WHAT IS INDUCTIVE LEARNING?
                    On the foundations of AI and Cognitive Science 

                             
                                   Toronto - Canada
                                
                                   May 20 - 21, 1996
              
      
	            A workshop in conjunction with the 11th Biennial 
                    Canadian AI Conference to be held at the Holiday 
                    Inn on King, Toronto during 21 - 24 May 1996
	


This workshop is a long overdue attempt to look at the inductive learning 
process (ILP) as the central process generating various representations of 
objects (events).

To this end one needs, first of all, to have a working definition of the
ILP, which has been lacking. Here is a starting point: ILP is the process
that constructs class representation on the basis of a (small) finite set
of examples, i.e. it constructs the INDUCTIVE class representation. This
class representation must, in essence, provide INDUCTIVE definition (or
construction) of the class. 

The constructed class representation, in turn, modifies the earlier
representation of the objects (within the context specified by the ILP).
Thus, any subsequent processes, e.g. pattern recognition, recall, problem
solving, are performed on the basis of the newly constructed object
(event) representations. To put it somewhat strongly, there are only
inductive representations. 

Two main and strongly related reasons why ILPs have not been perceived as
the very central processes are a lack of their adequate understanding and
a lack of their satisfactory formal model. Most of the currently popular
formal models of ILPs (including connectionist models) do not provide
satisfactory inductive class representations. One can show that inductive
class representations (in other words, representations of concepts and
categories) cannot be adequately specified within the classical (numeric)
mathematical models. 

We encourage all researchers (including graduate students) seriously
interested in the foundations of the above areas to participate in the
workshop. Both theoretical and applied contributions are welcomed
(including, of course, those related to vision, speech, and language). 

While extended abstracts will be available at the workshop, we are
planning to publish the expanded and reviewed versions of the
presentations as a special issue of journal Pattern Recognition. 



EXTENDED ABSTRACT SUBMISSION
----------------------------

Submit a copy (or e-mail version) of a 3-4 page extended abstract to 

         Lev Goldfarb          
         ILP Workshop Chair  
         Faculty of Computer Science
         University of New Brunswick
         P.O. Box 4400                          E-mail: goldfarb@unb.ca 
         Fredericton, N.B.  E3B 5A3             Tel:    506-453-4566
         Canada                                 Fax:    506-453-3566

E-mail submissions are encouraged.
                          

Important dates:
----------------

Extended abstract due:                           Monday,  March 25, 1996.
Notification & review back to the author:        Friday   April 5,  1996. 
Final extended abstract due:                     Monday   April 22, 1996.




For more information about the Canadian AI Conference which is held in 
conjunction with two other conferences (Vision Interface and Graphics 
Interface) see:

http://ai.iit.nrc.ca/cscsi/conferences/ai96.html


%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%*%


 
-- Lev Goldfarb         

http://wwwos2.cs.unb.ca/profs/goldfarb/goldfarb.htm



Please e-mail to me:
_____________________________________________________________________________

  I intend to submit an abstract             __

  I plan to attend the workshop              __
_____________________________________________________________________________
From steven@strontium.lexicus.mot.com Sat Feb 17 03:02:19 1996
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From: Steve Nowlan <steven@strontium.lexicus.mot.com>
Message-Id: <9602161624.ZM14139@strontium.lexicus.mot.com>
Date: Fri, 16 Feb 1996 16:24:10 -0800
X-Mailer: Z-Mail (3.1.0 22feb94 MediaMail)
To: connectionists@cs.cmu.edu
Subject: Position Available
Mime-Version: 1.0

Please respond to the address at the end of the article, thank you.

Motorola, Lexicus Division is currently seeking qualified applicants for the
position  of Recognition Scientist.

Lexicus, a Division of Motorola, specializes in handwriting and speech
recognition products for the mobile and wireless markets. Located in Palo
Alto, California, across from Stanford University, the company numbers
about 50 people, and is continuing to grow.

JOB DESCRIPTION
This individual will join a team of scientists working on technology for
hand writing and speech recognition applications.  Application areas range
from low-cost embedded systems to high-end work station applications. The
technology areas of interest include pattern recognition, vector
quantization, neural networks, hidden Markov models and statistical
language modeling.

EDUCATION & EXPERIENCE
The ideal candidate has an established record of significant contributions
to research efforts in an academic or industrial environment and a strong
background in statistical methods of pattern recognition.

Specific skills include:

        *  knowledge of current state of the art algorithms for pattern
           recognition and mathematical and statistical 
           analysis/modeling techniques

        *  the ability to work within a group to quickly implement and evaluate
           algorithms in a UNIX/C/C++ environment.

Asian Language Skills also desirable.

Applicants should be interested in developing state of the art technology
and moving that technology into products in a rapid research/development cycle.

SALARY:   Depending on experience
Please send resumes and a list of references (and include the title of the 
position) to:
Human Resources
Lexicus, a Division of Motorola
490 California Avenue, Suite 300                fax:    (415) 323-4772
Palo Alto, CA 94306             email:  hr@lexicus.mot.com

Debbie Mayer
Human Resources
Motorola, Lexicus Division
490 California Ave, Suite #300
Palo Alto, CA 94306
Tel: (415) 617-1115
Fax: (415) 323-4772



From mozer@neuron.cs.colorado.edu Sat Feb 17 13:02:44 1996
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Date: Fri, 16 Feb 1996 14:28:57 -0700
From: "Michael C. Mozer" <mozer@neuron.cs.colorado.edu>
Message-Id: <199602162128.OAA09088@neuron.cs.colorado.edu>
To: connectionists@cs.cmu.edu
Subject: NIPS*96 CALL FOR WORKSHOP PROPOSALS

			  

                          CALL FOR PROPOSALS

                   NIPS*96 Post Conference Workshops
                         December 6 and 7, 1996
                           Snowmass, Colorado


Following the regular program of the Neural Information Processing Systems
1996 conference, workshops on current topics in neural information processing
will be held on December 6 and 7, 1996, in Snowmass, Colorado.  Proposals by
qualified individuals interested in chairing one of these workshops are
solicited.  Past topics have included:

   Active Learning, Architectural Issues, Attention, Audition, Bayesian 
   Analysis, Bayesian Networks, Benchmarking, Computational Complexity, 
   Computational Molecular Biology, Control, Neuroscience, Genetic Algorithms, 
   Grammars, Hybrid HMM/ANN Systems, Implementations, Music, Neural Hardware,
   Network Dynamics, Neurophysiology, On-Line Learning, Optimization,
   Recurrent Nets, Robot Learning, Rule Extraction, Self-Organization,
   Sensory Biophysics, Signal Processing, Symbolic Dynamics, Speech,
   Time Series, Topological Maps, and Vision.

The goal of the workshops is to provide an informal forum for researchers to
discuss important issues of current interest.  There will be two workshop
sessions a day, for a total of six hours, with free time in between for
ongoing individual exchange or outdoor activities.

Concrete open and/or controversial issues are encouraged and preferred as
workshop topics.  Representation of alternative viewpoints and panel-style
discussions are particularly encouraged.

Workshop organizers will have responsibilities including:

1) coordinating workshop participation and content, which involves 
   arranging short informal presentations by experts working in an area, 
   arranging for expert commentators to sit on a discussion panel and 
   formulating a set of discussion topics, etc.

2) moderating or leading the discussion and reporting its high points,
   findings, and conclusions to the group during evening plenary sessions

3) writing a brief summary and/or coordinating submitted material for
   post-conference electronic dissemination.


Submission Instructions
-----------------------

Interested parties should submit via e-mail a short proposal for a workshop 
of interest by May 20, 1996.  

Proposals should include a title, a description of what the workshop is to 
address and accomplish, the proposed length of the workshop (one day or two 
days), the planned format (mini-conference, panel discussion, or group 
discussion, combinations of the above, etc), and the proposed number of 
speakers.  Where possible, please also indicate potential invitees 
(particularly for panel discussions).  Please note that this year we 
are looking for fewer "mini-conference" workshops and greater variety of 
workshop formats.  Also, the time allotted to workshops has been increased to
six hours each day.  We strongly encourage that the organizers reserve a 
significant portion of time for open discussion.

The proposal should motivate why the topic is of interest or controversial, 
why it should be discussed and who the targeted group of participants is.  
In addition, please send a brief resume of the prospective workshop chair, 
a list of publications, and evidence of scholarship in the field of interest.
Submissions should include contact name, address, e-mail address, phone 
number and fax number if available.

Proposals should be mailed electronically to mpp@watson.ibm.com.  All 
proposals must be RECEIVED by May 20, 1996.  If e-mail is unavailable, mail
so as to arrive by the deadline to:

  NIPS*96 Workshops 
  c/o Michael P. Perrone
  IBM T. J. Watson Research Center
  P.O. Box 218, 36-207
  Yorktown Heights, NY 10598


Questions may be addressed to either of the Workshop Co-Chairs:

Michael P. Perrone                  Steven J. Nowlan
IBM T.J. Watson Research Center     Motorola, Lexicus Division
mpp@watson.ibm.com                  steven@lexicus.mot.com



	      PROPOSALS MUST BE RECEIVED BY MAY 20, 1996

			   -Please Post-
