neuron-request@HPLMS2.HPL.HP.COM ("Neuron-Digest Moderator Peter Marvit") (12/19/90)
Neuron Digest Tuesday, 18 Dec 1990
Volume 6 : Issue 73
Today's Topics:
Re: Neuron Digest V6 #66
Re: Neuron Digest V6 #70
Astronomy and Medical Imaging Applications?
Re: Astronomy and Medical Imaging Applications?
help with sonar data
TRs
Caltech's CNS Program
Call for Papers -- Neural Networks for Aerospace GN&C
CALL FOR PAPERS
IJNS issue number 4, contents
Postdoc: Cognitive Science / Neural Modeling
1st IEEE-SP Workshop on NN's for SP
USC Workshop on Emotions (please forward on relevant mailing lists)
Send submissions, questions, address maintenance and requests for old issues to
"neuron-request@hplabs.hp.com" or "{any backbone,uunet}!hplabs!neuron-request"
Use "ftp" to get old issues from hplpm.hpl.hp.com (15.255.176.205).
------------------------------------------------------------
Subject: Re: Neuron Digest V6 #66
From: usc!cs.utexas.edu!sun-barr!newstop!exodus!hanami.Eng.Sun.COM!landman@ucsd.edu (Howard A. Landman)
Organization: Sun Microsystems, Mt. View, Ca.
Date: 20 Nov 90 01:30:34 +0000
>From: UAP001%DDOHRZ11.BITNET@CUNYVM.CUNY.EDU,
>Date: Tue, 13 Nov 90 16:12:31 +0700
>Think of what (insert name of your favorite intellectual hero here) did
>with the available circuits.
>It could of course be argued that such exceptions had exceptional
>hardware (although there's never been convincing anatomic or histologic
>evidence for this).
Anyone who's seen (or even read descriptions of) the brain of C.F.Gauss
would have strong reason to disagree with this statement.
Its cortex had about twice as many folds as that of a "normal" human
brain.
Howard A. Landman
landman@eng.sun.com -or- sun!landman
------------------------------
Subject: Re: Neuron Digest V6 #70
From: jp@cowboy.nrl.navy.mil (J.P. Letellier)
Date: Wed, 12 Dec 90 12:35:29 -0500
Answer to funding letters by David Kanecki:
Being on the end of trying to get money for support (Navy Labs
are self supporting, not line items in the budget), I sympathize with
your sentiment. However, the problem always is, who decides what
research has merit, and which projects should be funded? It is somebody
else's money that is being spent (usually taxpayers') for most research.
jp
------------------------------
Subject: Astronomy and Medical Imaging Applications?
From: mhart@astro.as.arizona.edu (Michael Lloyd-Hart)
Organization: University of Arizona, Tucson, AZ
Date: 14 Dec 90 20:51:16 +0000
In Neuron Digest V6 #70 (11 Dec 1990), Ade Miller asks:
> Having just completed a fairly extensive search for network
>applications in astronomy and medical imaging I was surprised to find
>only on or two papers in each field. Is anyone out there doing anything
>in either of these fields, on any sort of hardware?
The answer is yes, at least for the astronomy. There's a small group of
us at the University of Arizona working hard on a neural net wavefront
sensor for arrays of optical telescopes. The goal is to provide
real-time correction of atmospherically-distorted optical wavefronts to
minimise "seeing" and recover diffraction-limited resolution (i.e. what
Hubble was supposed to do!) in the near infra-red. So far, most of the
work has been done with computer simulated data (see ref.), but recently
we've been working with real data collected at the Multiple Mirror
Telescope and Steward Observatory's 90 inch on Kitt Peak. The
implementation so far has been in C on a Sun 4 sparcstation 1+, but it
won't go fast enough for real time. We'll shortly be transferring the
whole thing to a transputer based system mounted in a PC for ease of
portability up mountains.
The U.S. Air Force Weapons Lab. in New Mexico has been working on the
same problem for a single aperture telescope for some classified number
of years, trying various approaches, including neural nets. They've been
working closely with Thermo-Electron Technologies Corp. of San Diego, Ca,
who build segmented mirrors, and train nets to run them. So far none of
this work has made it out of the top secret box, but it should begin
appearing in the public domain in about 6 months.
Angel, J.R.P., et al., "Adaptive Optics for Array Telescopes using Neural
Network Techniques", Nature, vol. 348, 221, 15 Nov 1990.
Mike.
------------------------------------------------------------------------
Michael Lloyd-Hart | God forbid that any of these
Steward Observatory | opinions should be those of
University of Arizona | any institution!
Tucson, AZ 85721 USA |
------------------------------
Subject: Re: Astronomy and Medical Imaging Applications?
From: esrmm@warwick.ac.uk (Denis Anthony)
Organization: Computing Services, Warwick University, UK
Date: 17 Dec 90 11:12:40 +0000
In article <719@organpipe.UUCP> mhart@astro.as.arizona.edu (Michael
Lloyd-Hart) writes:
>In Neuron Digest V6 #70 (11 Dec 1990), Ade Miller asks:
>
>> Having just completed a fairly extensive search for network
>>applications in astronomy and medical imaging I was surprised to find
>>only on or two papers in each field. Is anyone out there doing anything
>>in either of these fields, on any sort of hardware?
Yes, I am working on medical images. Please email me if you want more
info. I should like to know what anyone else is doing in this area
myself.
Denis
[[ Editor's Note: If you find a fruitful collaboration, I hope you will
share the results of your search with other readers of this Digest.
Hint, hint. -PM ]]
------------------------------
Subject: help with sonar data
From: venu%sea.oe.fau.EDU@CUNYVM.CUNY.EDU
Date: Mon, 17 Dec 90 21:20:44 -0500
I am looking for sonar(preferably side scan sonar) data corresponding
to some known under-sea objects.
Can anyone inform me, from where I can get them.
Thanks,
K P Venugopal,
venu@sea4.oe.fau.edu,
Dept. of Electrical Eng;
Florida Atlantic Univ.
------------------------------
Subject: TRs
From: Juergen Schmidhuber <schmidhu@informatik.tu-muenchen.dbp.de>
Date: 11 Dec 90 11:37:05 +0100
The revised and extended versions of two reports from February 1990
are available.
1. Networks adjusting networks.
Technical Report FKI-125-90 (revised), Institut fuer Informatik,
Technische Universitaet Muenchen, November 1990.
2. Making the world differentiable: On using fully recurrent
self-supervised neural networks for dynamic reinforcement
learning and planning in non-stationary environments.
Technical Report FKI-126-90 (revised), Institut fuer Informatik,
Technische Universitaet Muenchen, November 1990.
To obtain hardcopies, send email to
marquard@tumult.informatik.tu-muenchen.de
Please let your message look like this:
subject:FKI
physical address (not more than 33 characters per line)
Those who requested copies at NIPS should not send additional requests.
Juergen Schmidhuber
------------------------------
Subject: Caltech's CNS Program
From: Christof Koch <koch%CITIAGO.BITNET@vma.CC.CMU.EDU>
Date: Tue, 11 Dec 90 21:32:52 -0800
This is a short description of our CNS program. Deadline for application
is end of January.
Christof
*******************************************************
CALIFORNIA INSTITUTE OF TECHNOLOGY
*******************************************************
Computation and Neural Systems Program
This interdepartmental program awards a Ph.D. in Computation
and Neural Systems. No Master is awarded.
Current enrollment: 28 doctoral, 18 postdoctoral
Financial support:
Complete support for tuition and stipend from graduate
research assistantships, graduate teaching assistantships,
NIH training grant, and private sources.
Contact:
J. Hopfield, Ph.D., Program Head, 160-30
(818) 356-2808
J. Bower, Ph.D., Chairman of Admissions, Biology Div.,
216-76, (818) 356-6817
jbower@smaug.cns.caltech.edu
All at California Institute of Technology, Pasadena, CA 91125
Caltech's graduate program in Computation and Neural Systems
presently involves 16 faculty in the Division of Biology, Engineering
and Applied Science, and Physics. This interdisciplinary program
is centered on computation approaches to the study of biological and
artificial information processing systems. A multidisciplinary
curriculum offers training in four general areas: neurobiology;
computer science and collective computation; physical computational
devices; and mathematics and modeling. Students need to take courses
in each of these areas in addition to an experimental laboratory course in
neurobiology. The breadth of training is enhanced by close interactions
among students and faculty from all parts of the program. A central
focus is provided by weekly seminars, informal lunch talks, and a
computer simulation laboratory open to students. Students are assigned
to a research laboratory upon arrival, but have the option of rotating
through several laboratories before choosing a thesis advisor.
Research interests of the faculty include the collective properties
and computational capacities of complex artificial and biological
networks, analog VLSI devices, optical devices, and highly parallel
digital computers. Neurobiological simulation approaches include
modeling at the systems level (e.g., olfactory cortex, cerebellar cortex,
and visual and auditory cortices) and at the cellular level (e.g., biophysical
and developmental mechanisms). Computational approaches to artificial
systems span a wide range, from studies of associative memory and
analog networks for sensory processing to graphical image representation
and the theory of computation. Interested students are encouraged to
combine theoretical or modeling approaches with physiological or
anatomical research on biological systems.
Core faculty:
Yaser Abu-Mostafa, John Allman, Alan Barr, James Bower, Rodney
Goodman, John Hopfield, Bela Julesz, Christof Koch, Masakazu
Konishi, Gilles Laurent, Henry Lester, Carver Mead, Jerome Pine,
Edward Posner, Demitri Psaltis, David van Essen.
Selection of ourses:
CNS 124 : Pattern Recognition (two quarters)
Covers classic results from pattern recognition and discusses in this
context associative memories and related neural network models of
computation.
Given by D. Psaltis.
CNS 174 : Computer Graphics Laboratory (three quarters)
The art of making pictures by computer.
Given by A. H. Barr.
CNS 182 : Analog Integrated Circuit Design (three quarters)
Device, circuit, and system techniques for designing large-scale
CMOS analog systems.
Given by C. A. Mead.
CNS 184 : Analog Integrated Circuit Projects Laboratory (three quarters)
Design projects in large-scale analog integrated systems.
Given by C. A. Mead.
CNS 185 : Collective Computation (one quarter)
Neural network theory and applications.
Given by J. J. Hopfield.
CNS 186 : Vision: From Computational Theory to Neuronal Mechanisms
(one quarter)
Lecture and discussion course aimed at understanding visual
information processing in both biological and artificial systems.
Given by C. Koch and D. C. Van Essen.
CNS 221 : Computational Neurobiology (one quarter)
Lecture, discussion and laboratory aimed at understanding
computational aspects of information processing within the nervous
system.
Given by J. Bower and C. Koch.
CNS 256 : Methods of Multineural Recording (one quarter)
Reading and discussion course. Topics included span a range of
multineural recording techniques from multielectrode recording
to positron emission tomography.
Given by J. Pine.
Student personal description ( H. H. Suarez, fourth year graduate
student; hhs@aurel.caltech.edu):
According to my experience, this program's emphasis really spans
a wide range, but two areas stand out especially for me: modelling
biological systems in a very detailed fashion and building artificial
sensory-motor systems (analog VLSI - based systems) whose design is
strongly influenced by knowledge of the corresponding biological
system. The overall ambiance from a student's point of view is
very good, due to the personal qualities of the faculty and the
students. There is a fair amount of interaction among the researchers
in the program, and on the average two or three talks a week
on CNS-related topics, often from researchers outside Caltech.
Thus there is little chance of getting bored ...
------------------------------
Subject: Call for Papers -- Neural Networks for Aerospace GN&C
From: Walt Baker <Walt_Baker@qmlink.draper.com>
Date: 12 Dec 90 16:37:32
Call For Papers
AIAA Guidance, Navigation, and Control Conference
August 12-14, 1991
New Orleans, LA
Special Announcement:
Applications of Artificial Intelligence Technology to
Aerospace Guidance, Navigation, and Control
Draft Submissions Due January 1991
Papers are solicited for special interest sessions on the
application of artificial intelligence technology (e.g.,
artificial neural networks, expert systems, fuzzy logic, and
machine learning) to problems in aerospace GN&C.
Application areas of general interest include: decision support
/ cockpit automation, fault diagnosis and accommodation, mission
and trajectory planning, and expert and learning control. Of
interest are papers describing the application of connectionist
learning systems to nonlinear control system design and
implementation. Also of interest are papers describing the
application of AI technology to robust decision and control
systems for autonomous vehicles.
Send draft manuscripts to:
Walter Baker
C. S. Draper Laboratory, Inc.
555 Technology Square, MS 4C
Cambridge, MA 02139
phone: (617) 258-3194
fax: (617) 258-1131
e-mail: baker%draper.com@relay.cs.net
For additional submission guidelines, see the October 1990
issue of Aerospace America.
------------------------------
Subject: CALL FOR PAPERS
From: "Centro de Inteligencia Artificial(ITESM)" <ISAI@TECMTYVM.MTY.ITESM.MX>
Date: Thu, 13 Dec 90 12:09:37 -0600
INTERNATIONAL SYMPOSIUM ON ARTIFICIAL INTELLIGENCE
APPLICATIONS IN INFORMATICS:
Software Engineering, Data Base Systems, Computer Networks,
Programming Environments, Management Information Systems,
Decision Support Systems.
C A L L F O R P A P E R S
Preliminary Version.
The Fourth International Sysmposium on Artificial Intelligence
will be held in Cancun Mexico on November 13-15, 1991.
The Symposium is sponsored by the ITESM (Instituto Tecnologico
y de Estudios Superiores de Monterrey) in cooperation with the
International Joint Conferences on Artificial Intelligence Inc.,
the American Association for Artificial Intelligence,
the Canadian Society for Computational Studies of Intelligence,
the Sociedad Mexicana de Inteligencia Artificial and IBM of Mexico.
Papers from all countries are sought that:
(1) Present applications of artificial intelligence technology
to the solution of problems in Software Engineering, Data
Base Systems, Computer Networks, Programming Environments,
Management Information Systems, Decision Support Systems
and other Informatics technologies; and
(2) Describe research on techniques to accomplish such applications,
(3) Address the problem of transfering the AI Technology in
different socio-economic contexts and environments.
Areas of application include but are no limited to:
Software development, software design, software testing and
validation, computer-aided software engineering, programming
environments, structured techniques, intelligent databases,
operating systems, intelligent compilers, local networks,
computer network design, satellite and telecommunications,
MIS and data processing applications, intelligent decision
support systems.
AI techniques include but are not limited to:
Expert systems, knowledge acquisition and representation,
natural language processing, computer vision, neural
networks and genetic algorithms, automated learning,
automated reasoning, search and problem solving,
knowledge engineering tools and methodologies.
Persons wishing to submit a paper should send five copies written
in English to:
Hugo Terashima, Program Chair
Centro de Inteligencia Artificial, ITESM.
Ave. Eugenio Garza Sada 2501, Col.Tecnologico
C.P. 64849 Monterrey, N.L. Mexico
Tel.(52-83) 58-2000 Ext.5134
Telefax (52-83) 58-1400 Dial Ext.5143 or 58-2000 Ask Ext.5143
Net address: ISAI@tecmtyvm.bitnet or ISAI@tecmtyvm.mty.itesm.mx
The paper should identify the area and technique to which it
belongs. Extended abstract is not required. Use a serif type font,
size 10, sigle-spaced with a maximum of 10 pages. No papers will be
accepted by electronic means.
Important dates:
Papers must be received by April 30,1991. Authors will be
notified of acceptance or rejection by June 15,1991. A final copy
of each accepted paper, camera ready for inclusion in the Symposium
proceedings, will be due by July 15,1991.
------------------------------
Subject: IJNS issue number 4, contents
From: Benny Lautrup <LAUTRUP@nbivax.nbi.dk>
Date: Fri, 14 Dec 90 09:47:00 +0100
INTERNATIONAL JOURNAL OF NEURAL SYSTEMS
The International Journal of Neural Systems is a quarterly journal
which covers information processing in natural and artificial neural
systems. It publishes original contributions on all aspects of this
broad subject which involves physics, biology, psychology, computer
science and engineering. Contributions include research papers, reviews
and short communications. The journal presents a fresh undogmatic
attitude towards this multidisciplinary field with the aim to be a
forum for novel ideas and improved understanding of collective and
cooperative phenomena with computational capabilities.
ISSN: 0129-0657 (IJNS)
----------------------------------
Contents of issue number 4 (1990):
1. A. M. Gutman:
Bistability of Dendrites.
2. J. J. Atick and A. N. Redlich:
Prediction Ganglion and Simple Cell Receptive Field Organisations.
3. H. H. Thodberg:
Improving Generalisation of Neural Networks through Pruning.
4. O. Hendin, D. Horn and M. Usher:
Chaotic Behaviour of a Neural Network with Dynamical Thresholds.
5. C. Myers:
Learning with Delayed Reinforcement
through Attention-Driven Buffering.
6. R. Erichson and W. K. Theumann:
Mixture States and Storage with
correlated Patterns in Hopfield's Model.
7. H. Shouval, I. Shariv, T. Grossman, A. A. Friesem, E. Domany:
An all-optical Hopfield Network: Theory and Experiment.
8. Yves Chauvin:
Gradient Descent to Global Minima in a n-dimensional Landscape.
----------------------------------
Editorial board:
B. Lautrup (Niels Bohr Institute, Denmark) (Editor-in-charge)
S. Brunak (Technical Univ. of Denmark) (Assistant Editor-in-Charge)
D. Stork (Stanford) (Book review editor)
Associate editors:
B. Baird (Berkeley)
D. Ballard (University of Rochester)
E. Baum (NEC Research Institute)
S. Bjornsson (University of Iceland)
J. M. Bower (CalTech)
S. S. Chen (University of North Carolina)
R. Eckmiller (University of Dusseldorf)
J. L. Elman (University of California, San Diego)
M. V. Feigelman (Landau Institute for Theoretical Physics)
F. Fogelman-Soulie (Paris)
K. Fukushima (Osaka University)
A. Gjedde (Montreal Neurological Institute)
S. Grillner (Nobel Institute for Neurophysiology, Stockholm)
T. Gulliksen (University of Oslo)
D. Hammerstrom (Oregon Graduate Institute)
J. Hounsgaard (University of Copenhagen)
B. A. Huberman (XEROX PARC)
L. B. Ioffe (Landau Institute for Theoretical Physics)
P. I. M. Johannesma (Katholieke Univ. Nijmegen)
M. Jordan (MIT)
G. Josin (Neural Systems Inc.)
I. Kanter (Princeton University)
J. H. Kaas (Vanderbilt University)
A. Lansner (Royal Institute of Technology, Stockholm)
A. Lapedes (Los Alamos)
B. McWhinney (Carnegie-Mellon University)
M. Mezard (Ecole Normale Superieure, Paris)
J. Moody (Yale, USA)
A. F. Murray (University of Edinburgh)
J. P. Nadal (Ecole Normale Superieure, Paris)
E. Oja (Lappeenranta University of Technology, Finland)
N. Parga (Centro Atomico Bariloche, Argentina)
S. Patarnello (IBM ECSEC, Italy)
P. Peretto (Centre d'Etudes Nucleaires de Grenoble)
C. Peterson (University of Lund)
K. Plunkett (University of Aarhus)
S. A. Solla (AT&T Bell Labs)
M. A. Virasoro (University of Rome)
D. J. Wallace (University of Edinburgh)
D. Zipser (University of California, San Diego)
----------------------------------
CALL FOR PAPERS
Original contributions consistent with the scope of the journal are
welcome. Complete instructions as well as sample copies and
subscription information are available from
The Editorial Secretariat, IJNS
World Scientific Publishing Co. Pte. Ltd.
73, Lynton Mead, Totteridge
London N20 8DH
ENGLAND
Telephone: (44)81-446-2461
or
World Scientific Publishing Co. Inc.
687 Hardwell St.
Teaneck
New Jersey 07666
USA
Telephone: (1)201-837-8858
or
World Scientific Publishing Co. Pte. Ltd.
Farrer Road, P. O. Box 128
SINGAPORE 9128
Telephone (65)382-5663
------------------------------
Subject: Postdoc: Cognitive Science / Neural Modeling
From: gluck%psych@Forsythe.Stanford.EDU (Mark Gluck)
Date: Fri, 14 Dec 90 09:02:18 -0800
Postdoctoral Positions in:
--------------------------
COGNITIVE & NEURAL BASES OF LEARNING
at
Rutgers University
Center for Molecular & Behavioral Neuroscience
195 University Avenue
Newark, NJ 07102
Postdoctoral positions are available for recent Ph.D's in all areas of
Cognitive Science (e.g., Neuroscience, Psychology, Computer Science)
interested in pursuing research in the following areas of learning
theory:
1. COGNITIVE SCIENCE/ADAPTIVE "CONNECTIONIST" NETWORKS:
Experimental and theoretical (computational) studies of human
learning and memory.
2. COMPUTATIONAL NEUROSCIENCE / COGNITIVE NEUROSCIENCE:
Models of the neural bases of learning in animals and humans.
Candidates with any (or all) of the following skills are particular
encouraged to apply: (1) familiarity with neural network algorithms and
models, (2) strong computational/analytic skills, and (3) experience with
experimental methods, experimental design, and data analysis in cognitive
psychology.
----------------------------------------------------------------------------
Other Information:
FACILITIES: The Center is a new state-funded research center for the
integrated studies of cognitive, behavioral, and molecular neuroscience.
The Center has good computational resources and experimental
laboratories for behavioral and neural studies.
LOCATION: The Center is located in Newark, NJ, approximately 20 minutes
outside of Manhattan, New York (with easy train and subway access to
midtown and downtown NYC) and close to rural New Jersey countryside
Numerous other research centers in the cognitive and neural sciences
are located nearby including: Cognitive Science Center, Rutgers/New
Brunswick; Centers for Cognitive & Neural Science, New York University;
Cognitive Science Center, Princeton Univ.; Columbia Univ. & Medical
School; Siemens Corporate Research, Princeton, NJ; NEC Research Labs,
Princeton, NJ; AT&T Labs; Bellcore; IBM T. J. Watson Research Labs.
CURRENT FACULTY: E. Abercrombie, G. Buzsaki, I. Creese, M. Gluck,
H. Poizner, R. Siegel, P. Tallal, J. Tepper. Six additional faculty
will be hired. The Center has a total of ten state-funded postdoctoral
positions and will direct, in collaboration with the Institute for
Animal Behavior, a graduate program in Behavioral and Neural Sciences.
----------------------------------------------------------------------------
For more information on learning research at the CMBN/Rutgers or to apply
for these post-doctoral positions, please send a cover letter with a
statement of your research interests, a CV, copies of relevant preprints,
and the the names & phone numbers of references to:
Dr. Mark A. Gluck Phone: (415) 725-2434
Dept. of Psychology <-[Current address to 4/91] FAX: (415) 725-5699
Jordan Hall; Bldg. 420
Stanford University email: gluck@psych.stanford.edu
Stanford, CA 94305-2130
------------------------------
Subject: 1st IEEE-SP Workshop on NN's for SP
From: "Gary M. Kuhn" <gmk%idacrd@Princeton.EDU>
Date: Fri, 14 Dec 90 12:03:54 -0500
First IEEE-SP Workshop on
Neural Networks for Signal Processing
Sponsored by the IEEE Signal Processing Society
in cooperation with the IEEE Neural Networks Council
September 29 - October 2, 1991
Nassau Inn, Princeton, New Jersey, USA
Call for Papers
The first Workshop on Neural Networks for Signal Processing, sponsored by
the IEEE Signal Processing Society, will be held in the fall of 1991 in
Princeton, New Jersey. The beautiful Princeton area is easily accessible
by train, bus or car from airports in and around New York city. Papers
are solicited for technical sessions on the following topics:
+ Application-driven Neural Models
+ Neural Architecture for Signal Processing
+ System Identification & Spectral Estimation by Neural Networks
+ Neural Networks for Image Processing & Pattern Recognition
+ Applications of Neural Networks to Speech Processing
+ Nonlinear Signal and Pattern Learning Algorithms
Prospective authors are invited to submit 4 copies of extended summaries
of no more than 4 pages to Candace Kamm for review (address below). The
top of the first page of the summary should include a title, authors'
names, affiliations, addresses and telephone numbers. Photo-ready full
papers of accepted proposals will be published in book form and
distributed at the workshop. Due to conference facility constraints,
attendance will be limited with priority given to those who submit
written technical contributions. For more information, please contact
Gary Kuhn, Publicity Chair, at (609) 924-4600.
Schedule
Submission of extended summary April 1, 1991
Notification of acceptance May 15, 1991
Submission of photo-ready paper July 1, 1991
Advanced registration, before August 31, 1991
Workshop Committee
General Chair
B.H. Juang S.Y. Kung
Rm. 2D-534 Dept. of EE
AT&T Bell Labs Princeton Univ.
Murray Hill, NJ 07974 Princeton, NJ 08540
Local Arrangements
John Vlontzos
Siemens Corp. Research
Princeton, NJ 08540
Proceedings
Candace Kamm
Box 1910
Bellcore
445 South St., Rm.2E-256
Morristown, NJ 07960-1910
Publicity
Gary Kuhn
Center for Communications
Research-IDA
Thanet Road
Princeton, NJ 08540
Finance/Registration
Bastiaan Kleijn
Rm 2D-554
AT&T Bell Labs
600 Mountain Ave.
Murray Hill, NJ 07974
Program Committee
Rama Chellappa Lee Giles John Moody
Bradley Dickinson Esther Levin Erkki Oja
Tariq Durrani R. Lippmann W. Przytula
F. Fallside John Makhoul Y. Tohkura
K. Fukushima Y. Matsuyama C.J. Wellekens
------------------------------
Subject: USC Workshop on Emotions (please forward on relevant mailing lists)
From: fellous%pipiens.usc.edu@usc.edu (Jean-Marc Fellous)
Date: Fri, 14 Dec 90 17:31:13 -0800
__________________________________________________________________________
/ U.S.C \
| |
| C N E Student Workshop on Emotions |
| |
| CALL FOR PAPERS |
| ***************** |
\__________________________________________________________________________/
The Center For Neural Engineering of the university of Southern
California invites all students interested in Emotions to submit a paper
to be eventually presented during a one-day Workshop (of a date t.b.a. at
the End of February 1991). The Workshop is opened to Graduate students
(MA,MS,PhD) and College Seniors irrespective to their major (faculty will
only be considered for publication), having pursued (or pursuing)
research activities on such aspects of Emotions as:
- The nature of Emotion
- The physiology of Emotion
- The perception of Emotions
- The relations between Emotion and Cognition
- Developemental aspects of Emotion
- Artificial Intelligence models of Emotions
- Neural network models of Emotions
- Philosophical issues of Emotion and reductionism
- ...
Applicants should send a 2 page summary of the proposed paper and a
letter of motivation in which they state their status, major, interests,
name, address and telephone number (for reply).
Materials should be submitted by January 31st to:
Jean-Marc Fellous
Center for Neural Engineering
University of Southern California
Los Angeles CA 90089-2520
Telephone: (213) 740-3506
email: fellous@rana.usc.edu
ps: Travel expenses will not be covered by the CNE, but lunch will be
provided. pps: Authors of the chosen papers will receive a copy of the
presented papers (by mail if they could not attend the Workshop).
------------------------------
End of Neuron Digest [Volume 6 Issue 73]
****************************************