[comp.ai.neural-nets] Neuron Digest V4 #7

neuron-request@HPLABS.HP.COM (Neuron-Digest Moderator Peter Marvit) (09/27/88)

Neuron Digest	Monday, 26 Sep 1988
		Volume 4 : Issue 7

Today's Topics:
		      Neural network simulator wanted
		  Real Applications of Neural Networks ??
		   Colloquium on Neural Net Applications
			     CONFERENCE NOTICE
		     TSP in IEEE ICNN 88 in San Diego
			     1988 Tech Report
			    Re: Music and Nets

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

Subject: Neural network simulator wanted
From:    djoslin@YEAGER.BBN.COM
Date:    Wed, 14 Sep 88 17:46:30 -0400 


I've only become interested in neural networks recently, and attended the
INNS conference in Boston last week.  I was wondering if you know of a
neural network simulator available for Unix.  Preferably written in C and
public domain.  I grepped through the old comp.ai.neural-nets articles on
our system and couldn't find any references.

Thanks for any help.

David

[[ As previous issues of the Digest have mentioned, a number of companies
are selling both software and hardware for doing ANN (Artifical Neural Net)
simulations.  One or small simulators made the rounds of ftp sites and
comp.sources; I snarfed them but never tried them -- Hopfield nets, I
think.  I personally recommend going to your friendly bookstore and looking
at PDP Vol 3 -- "Explorations" by Rumelhart and McClelland.  There is both
a PC version and a UNIX version!  University of Rochester is also offering
its simulator *for free* via ftp, or some nominal fee for tape and manual.

It's getting close to the time to make another canonical list of
simulators.  If someone has such a beast, please let me know.  Otherwise,
just send me what you know and I'll collapse same into a future Digest. -PM]]

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

Subject: Real Applications of Neural Networks ??
From:    Patrick Van Renterghem / Transputer Lab
	<PVR%BGERUG51.BITNET@CUNYVM.CUNY.EDU>
Date:    Thu, 15 Sep 88 09:48:00 +0100 

Hello networkers,

I am not a fanatic pro or con of connectionism and neural networks, but I
am more interested in their applications than their basics. Your positive
or negative results with these new techniques may swing my opinion. Replies
will be used for a survey on the applicability of neural networks for real
:-) applications.

I have the following questions:

* what kind of applications are neural networks used for ? I know pattern
  recognition is a favorite subject, and I would like to know more about
  specific realizations (and performance, compared to algorithic information
  processing), but there must be other application areas ??!!?? How about
  robotics, expert systems, image processing, ...

* What coprocessor boards exist, what is the price, performance, their draw-
  backs, advantages, ... Addresses of manufacturers would be appreciated.

Thanks in advance,

Patrick Van Renterghem,
State University of Ghent,
Automatic Control Lab,
The Transputer Lab div.,

Grotesteenweg Noord 2,
B-9710 Ghent-Zwijnaarde,
Belgium.

P.S.:  Companies listening and selling hard or software can send me information
       right away.

[[ I will let the readership comment on the substance of Patrick's request.
His return address works well.  His is a common problem in this field;
everyone has heard how great these Neural Nets are but a) what are they
*good* for, b) what type of engineering can they be put to now, c) where
can more information be found, d) what are the available hardware/software.

These questions will resurface frequently in our nascent field.  Many
excellent resources exist to introduce people to the science of Neural
Nets, but I'll admit ignorance for things to hand engineers who want to
"use it now."  I think the field is still too young and diffuse; we must
learn from the cautionary tales from the early days of AI.  Unfortunately,
it's easy to be deluded by the relative ease by which NNs can produce
results.

At this point, my advise to people like Patrick is to be as *specific as
possible *in your chosen application and search for related literature and
other researchers or engineers who are working on similar applications.
Secondly, try to attend one of the Neural Net conferences, especially those
with vendor exhibits, and pester everyone for information. -PM]]

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

Subject: Colloquium on Neural Net Applications
From:    cook@Alliant.COM (Dale C. Cook)
Date:    Thu, 15 Sep 88 18:00:42 +0000 

ANNOUNCING:

	A colloquium on Practical Neural Network Applications in Signal
	and Image Processing

ORGANIZED BY:

	Ben Passarelli
	Alliant Computer Systems Company
	One Monarch Drive
	Littleton, MA 01460

WHERE:

	The Hyatt Regency, Burlingame, CA

WHEN:

	Reception and meet the speakers: Sunday, October 30
	Presentations: Monday and Tuesday, October 31 and Novemeber 1
		8:30 am till 5:00 pm

SPEAKERS AND TOPICS:

	Signal Processing and Neural Networks (KEYNOTE)
		Professor Bernard Widrow
		Department of Electrical Engineering
		Stanford University

	Neurons and Schemas: A Language for Visuomotor Coordination
		Professor Michael A. Arbib
		Director, Center for Neural Engineering
		University of Southern California

	Learning and Generalization in Connectionist Algorithms
		Professor David E. Rumelhart
		Department of Psychology
		Stanford University

	Cognitive Software for Neural Networks
		Professor James A. Anderson
		Department of Psychology
		Brown University

	Variation and Selection: An Evolutionary Learning Model for
	Signal Matching with Neural Networks
		Dr. Aviv Bergman
		SRI International

	Image Processing Using a Multi-Staged Neural Network Vision System
		Dr. Douglas Reilly
		Brown University and Nestor, Inc.

	Topic To Be Announced
		Professor Donald A. Glaser
		Nobel Laureate
		Department of Physics
		University of California

	Neural Network Dynamic Behavior Simulations for Vision Applications
		Dr. Ken Johnson
		Hughes Missile Systems Group

	Non-Linear Signal Processing with Neural Networks
		Dr. Alan Lapedes
		Theoretical Divison
		Los Alamos National Laboratories

	Physiology, Non-Linear Dynamics, Symmetries, and Self-Similar
	Structures in the Nervous System and Modeled Neural Networks
		Dr. Albert F. Lawrence
		Hughes Aircraft Company

	Images and Fuzzy Neural Networks
		Dr. Earl R. MacCormac
		Executive Director
		North Carolina Board of Science and Technology

	Image Processing Applications
		Dr. Robert Schudy
      		The Analytical Sciences Corporation (TASC)

	ATR Neural Network Research on Speech Processing
		Dr. Yoh'ichi Tohkura
		Head of the Hearing and Speech Perception Department
		Advanced Telecommunications Research Institute International

	Panel Discussion on Commercializing Neural Network Applications
		Thomas J. Schwartz, Moderator
		Tom Schwartz Associates

REGISTRATION:

	Before September 30: $445
	After:		     $495

	Registration fee includes all conferences, meals and breaks and the
		SF Bay cruise and reception, October 30.

	Registration deadline: October 15
		
CONTACT:

	Alliant Computer Systems Company
	One Monarch Drive
	Littleton, MA 01460

	Ben Passarelli
	(408) 295-7222 or EMAIL: ben@alliant.alliant.com
				 ....linus!alliant!ben
	Susan Ayers
	(508) 486-1454  or EMAIL: ayers@alliant.alliant.com
				  ...linus!alliant!ayers

	

- -- 
	- Dale      N1US		VOICE: (617) 486-1343
ARPA:	cook@alliant.alliant.com	SMAIL: 1 Monarch Drive
UUCP:	...linus!alliant!cook			Littleton, MA 01460

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

Subject: CONFERENCE NOTICE
From:    Julian_Dow%VME.GLASGOW.AC.UK@CUNYVM.CUNY.EDU
Date:    Thu, 15 Sep 88 18:10:43 -0000 

		    ADVANCE NOTICE OF A TWO-DAY SESSION
			     (APRIL 6th & 7th)

 ON BIOELECTRONICS & BIOSENSORS AS PART OF THE SPRING 1989 MEETING OF THE
		     SOCIETY FOR EXPERIMENTAL BIOLOGY

		EDINBURGH, SCOTLAND : APRIL 3rd - 7th, 1989

***Introduction

The SEB provides a forum for British and European science across a broad
spectrum of interest. The Spring 1989 meeting will contain a two-day
session, on the 6th & 7th of April, on the impact of bioelectronics
(defined as the area of overlap between cell biology, biochemistry,
neurobiology and electronic engineering). The session is made possible by
generous financial support from the SEB and the Scottish Development Agency
(SDA).

***Topics covered

Developmental biology: contact guidance, studies of cell behaviour on
patterned surfaces of controlled topography.  In vivo Neurobiology:
measurement of electrical activity in intact nervous tissue with
microengineered electrode arrays.  In vitro Neurobiology: "real" neural
networks of cultured neurons on arrays of electrodes.  Relevance to
computer design.  Biomedical applications: use of electrode arrays as
implantable sensors and in prosthetics.  Biosensors: Fundamental problems.
Application to biological problems in research.  Technological problems:
Choice of substrate, electrode materials. Long-term stability in aqueous
environments. Multiplexing and signal treatment. Data reduction.  Related
sessions: Other sessions are planned on Computers in Neurobiology, and on
Computers in Respiratory Physiology.

***Invited speakers

Invited speakers include: Pickard (Cardiff), Turner (Cranfield), Gross
(Texas), Edell (MIT), Pine (Caltech).

***Organisers

Dr. J.A.T. Dow (Glasgow, Cell Biology) Prof. C.D.W. Wilkinson (Glasgow,
Electronic Engineering) Dr. A.P.F. Turner (Cranfield, Bioelectronics)

***Format

Plenary lectures, contributed oral papers and poster sessions.

***Venue

The conference will be held on the campus of Edinburgh University, within
easy reach of the historic centre of the city.  Accommodation will be in
Halls of Residence or in nearby hotels.  Edinburgh is easily reached by
local and international flights, by rail, or by road.  It also provides an
excellent starting point to visit other attractions in Scotland.

***Registration

Pleasantly inexpensive, as the SEB is an educational charity. Registration
will probably be around #50 for the conference.  (This is not a
registration form.)

***Interested?

Please complete and return the attached form
if you would like to be included on the
mailing list, or write to
	Dr. Julian A.T. Dow, Department of Cell Biology,
	University of Glasgow, Glasgow G12 8QQ, Scotland.
	(Electronic mail address (JANET) : Julian_Dow@uk.ac.glasgow.vme)

- ------------------------------------------------
SEB Conference: April 1989

To:
Dr. Julian A.T. Dow,
Department of Cell Biology,
University of Glasgow,
Glasgow G12 8QQ,
Scotland.
Telephone (041) 330 4616

Name:
..............................................
Address:
..............................................
..............................................
..............................................
..............................................


Please include me on your mailing list for further announcements on the
Bioelectronics & Biosensors session of the 1989 SEB Spring Meeting in
Edinburgh, on the 6th and 7th of April.

I am interested in
      giving an oral presentation
      presenting a poster
      attending.

My main area of interest is
      Cell biology
      Developmental Biology
      Neurobiology
      Biosensors
      Electronics
      Computing
(Please circle)

Please duplicate this form and pass on to any interested colleagues.

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

Subject: TSP in IEEE ICNN 88 in San Diego
From:    csrobe@work1.icase.edu (Charles S. [Chip] Roberson)
Date:    Fri, 16 Sep 88 10:59:34 -0400 

During a poster session at INNS someone made a quick reference to a paper
on Hopfield's implementation of the TSP that was presented at the IEEE
International Conference on Neural Networks in San Diego.  We have tried to
get the proceedings but apparently they won't be available until later this
year (though attendees already have their copies).

If attendees do have copies already, would some kind sole please help us
complete this reference so we can track down a copy of this paper.

Also, if anybody has a on-line bibliography (e.g. BiBTeX) of any of the
Neural Network conferences, I would really appreciate it if they would be
willing to share.

Thanks in advance for any replies to this ambiguous request (but that's
what neural networks are for, right?)

- -chip
+-------------------------------------------------------------------------+
|Charles S. Roberson          ARPANET:  csrobe@icase.edu                  |
|ICASE                                  csrobe@[128.239.1.30] (cs.wm.edu) |
|MS 132C                      BITNET:   $csrobe@wmmvs.bitnet              |
|NASA Langley Rsch. Ctr.      UUCP:     ...!uunet!pyrdc!gmu90x!wmcs!csrobe|
|Hampton, VA  23665-5225      Phone:    (804) 865-4090                    |
+-------------------------------------------------------------------------+

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

Subject: 1988 Tech Report
From:    jam@bu-cs.bu.edu (Jonathan Marshall)
Date:    Fri, 16 Sep 88 14:22:16 -0400 


The following material is available as Boston University Computer Science
Department Tech Report #88-010.  It may be obtained from rmb@bu-cs.bu.edu
or by writing to Regina Blaney, Computer Science Dept., Boston Univ., 111
Cummington St., Boston, MA 02215, U.S.A.  I think the price is $7.00.
- -----------------------------------------------------------------------

		   SELF-ORGANIZING NEURAL NETWORKS
		   FOR PERCEPTION OF VISUAL MOTION

			 Jonathan A. Marshall

			       ABSTRACT

The human visual system overcomes ambiguities, collectively known as the
aperture problem, in its local measurements of the direction in which
visual objects are moving, producing unambiguous percepts of motion.  A new
approach to the aperture problem is presented, using an adaptive neural
network model.  The neural network is exposed to moving images during a
developmental period and develops its own structure by adapting to
statistical characteristics of its visual input history.  Competitive
learning rules ensure that only connection ``chains'' between cells of
similar direction and velocity sensitivity along successive spatial
positions survive.  The resultant self-organized configuration implements
the type of disambiguation necessary for solving the aperture problem and
operates in accord with direction judgments of human experimental subjects.
The system not only accommodates its structure to long-term statistics of
visual motion, but also simultaneously uses its acquired structure to
assimilate, disambiguate, and represent visual motion events in real-time.

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

I am now at the Center for Research in Learning, Perception, and
Cognition, 205 Elliott Hall, University of Minnesota, Minneapolis,
MN 55414.  I can still be reached via my account  jam@bu-cs.bu.edu .

  --J.A.M.

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

Subject: Re: Music and Nets
From:    chrisley.pa@Xerox.COM
Date:    18 Sep 88 22:50:00 -0700 

Peter Marvit writes:

[[ I heard that someone (Hinton?) demonstrated the production of
Baroque-style fragments or phrases using a new architecture.  I, too would
be interested in this. -PM]]

I believe you are referring to Prof. Kohonen's application of Dynamically
Expanding Context, an algorithm for learning grammars, to the learning of
Bach inventions.  The description of the algorithm is found in the first
paper of the second volume of the proceedings of the first IEEE ICNN
conference.

Since I just returned from a nine-month research stint with Prof. Kohonen,
I could give (a few!) more details on the particular application and the
algorithm if necessary.  But be warned: those who are interested only in
algorithms that can be explicitly linked to neural processes will not find
this algorithm much "better" than learning paradigms in CS, AI, or Machine
Learning (ala Valiant).

Ron Chrisley

Xerox Parc SSL			New College
3333 Coyote Hill Rd		Oxford OX1 3BN
Palo Alto, CA 94304		England
(415) 494-4740			0865-248451

[[ Thanks for the clarification; my recollection was from a conversation in
passing. I appreciate the reference, though the application to music
certainly sounded novel. -PM]]

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End of Neurons Digest
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