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Neuron Digest Volume 12 Number 08
Neuron Digest Tuesday, 19 Oct 1993 Volume 12 : Issue 8
Today's Topics:
job opening at Indiana: Cognitive Science/Psychology
Graduate study in Cognitive and Neural Systems at Boston University
New Book Announcement
Combinatorial optimization using neural nets?
Request for Information - handwriting verification
position @ U. Michigan
Motif version of hyperplane animator available
Neural nets and channel decoding/equalization?
Assistant Professor opening
POSITION AVAILABLE
Short-term position (London)
Neurosciences Internet Resource Guide
SUMMARY: use of ANN in QSAR
"On-line" journals and papers?
Send submissions, questions, address maintenance, and requests for old
issues to "neuron-request@psych.upenn.edu". The ftp archives are
available from psych.upenn.edu (130.91.68.31). Back issues requested by
mail will eventually be sent, but may take a while.
----------------------------------------------------------------------
Subject: job opening at Indiana: Cognitive Science/Psychology
From: John Kruschke <kruschke@pallas.psych.indiana.edu>
Date: Wed, 06 Oct 93 11:13:58 -0600
> If budget constraints permit, the Psychology Department at
> Indiana University anticipates a tenure-track appointment for the fall
> of 1994 in Cognitive/Cognitive Science. Outstanding candidates in all
> areas of cognitive psychology will be considered, including those
> studying attention, visual perception and recognition, and basic
> memory processes, and those utilizing quantitative and computer
> modeling. Applications received before November 15, 1993, will be
> assured of consideration. Submit curriculum vita, (p)reprints, a
> description of current research interests and future directions, and
> arrange for three letters of reference to be forwarded to Professor
> M.J. Intons-Peterson, Chairperson, Department of Psychology, Indiana
> University, Bloomington, IN 47405. Applications from women and
> minority members are especially encouraged. Indiana University is an
> Affirmative Action/Equal Opportunity Employer.
------------------------------
Subject: Graduate study in Cognitive and Neural Systems at Boston University
From: Announce@PARK.BU.EDU
Date: Thu, 07 Oct 93 16:09:31 -0500
(please post)
***********************************************
* *
* DEPARTMENT OF *
* COGNITIVE AND NEURAL SYSTEMS (CNS) *
* AT BOSTON UNIVERSITY *
* *
***********************************************
Stephen Grossberg, Chairman
Gail A. Carpenter, Director of Graduate Studies
The Boston University Department of Cognitive and Neural Systems offers
comprehensive advanced training in the neural and computational principles,
mechanisms, and architectures that underly human and animal behavior,
and the application of neural network architectures to the solution of
technological problems.
Applications for Fall, 1994 admission and financial aid are now being
accepted for both the MA and PhD degree programs.
To obtain a brochure describing the CNS Program and a set of application
materials, write, telephone, or fax:
Department of Cognitive & Neural Systems
Boston University
111 Cummington Street, Room 240
Boston, MA 02215
617/353-9481 (phone)
617/353-7755 (fax)
or send via email your full name and mailing address to:
rll@cns.bu.edu
Applications for admission and financial aid should be received by the
Graduate School Admissions Office no later than January 15. Late
applications will be considered until May 1; after that date applications
will be considered only as special cases.
Applicants are required to submit undergraduate (and, if applicable,
graduate) transcripts, three letters of recommendation, and Graduate
Record Examination (GRE) scores. The Advanced Test should be in the
candidate's area of departmental specialization. GRE scores may be
waived for MA candidates and, in exceptional cases, for PhD candidates,
but absence of these scores may decrease an applicant's chances for
admission and financial aid.
Non-degree students may also enroll in CNS courses on a part-time basis.
Description of the CNS Department:
The Department of Cognitive and Neural Systems (CNS) provides advanced
training and research experience for graduate students interested in the
neural and computational principles, mechanisms, and architectures that
underlie human and animal behavior, and the application of neural network
architectures to the solution of technological problems. Students are
trained in a broad range of areas concerning cognitive and neural systems,
including vision and image processing; speech and language understanding;
adaptive pattern recognition; cognitive information processing; self-
organization; associative learning and long-term memory; computational
neuroscience; nerve cell biophysics; cooperative and competitive network
dynamics and short-term memory; reinforcement, motivation, and attention;
adaptive sensory-motor control and robotics; active vision; and biological
rhythms; as well as the mathematical and computational methods needed to
support advanced modeling research and applications. The CNS Department
awards MA, PhD, and BA/MA degrees.
The CNS Department embodies a number of unique features. It has developed
a curriculum that consists of twelve interdisciplinary graduate courses
each of which integrates the psychological, neurobiological, mathematical,
and computational information needed to theoretically investigate
fundamental issues concerning mind and brain processes and the applications
of neural networks to technology. Nine additional advanced courses,
including research seminars, are also offered. Each course is typically
taught once a week in the evening to make the program available to
qualified students, including working professionals, throughout the Boston
area. Students develop a coherent area of expertise by designing a program
that includes courses in areas such as Biology, Computer Science, Engineering,
Mathematics, and Psychology, in addition to courses in the CNS curriculum.
The CNS Department prepares students for thesis research with scientists
in one of several Boston University research centers or groups, and with
Boston-area scientists collaborating with these centers. The unit most
closely linked to the department is the Center for Adaptive Systems (CAS).
Students interested in neural network hardware work with researchers in
CNS, the College of Engineering, and at MIT Lincoln Laboratory. Other
research resources include distinguished research groups in neurophysiology,
neuroanatomy, and neuropharmacology at the Medical School and the Charles
River campus; in sensory robotics, biomedical engineering, computer and
systems engineering, and neuromuscular research within the Engineering
School; in dynamical systems within the Mathematics Department; in
theoretical computer science within the Computer Science Department; and
in biophysics and computational physics within the Physics Department.
In addition to its basic research and training program, the Department
conducts a seminar series, as well as conferences and symposia, which bring
together distinguished scientists from both experimental and theoretical
disciplines.
1993-94 CAS MEMBERS and CNS FACULTY:
Jacob Beck
Daniel H. Bullock
Gail A. Carpenter
Chan-Sup Chung
Michael A. Cohen
H. Steven Colburn
Paolo Gaudiano
Stephen Grossberg
Frank H. Guenther
Thomas G. Kincaid
Nancy Kopell
Ennio Mingolla
Heiko Neumann
Alan Peters
Adam Reeves
Eric L. Schwartz
Allen Waxman
Jeremy Wolfe
------------------------------
Subject: New Book Announcement
From: Gary Tajchman <tajchman@ICSI.Berkeley.EDU>
Date: Thu, 07 Oct 93 17:32:57 -0800
I thought this might be of interest to folks on connectionists. Kluwer
Academic has just published a book by H. Bourlard and N. Morgan called
``CONNECTIONIST SPEECH RECOGNITION: A Hybrid Approach''.
In the words of the back cover description, this book ``describes the
theory and implementation of a method to incorporate neural network
approaches into state-of-the-art continuous speech recognition systems
based on Hidden Markov Models (HMMs) to improve their performance.'' The
book is based on work done in a 5-year trans-Atlantic collaboration
between Bourlard and Morgan, and puts together in one place what is
otherwise scattered over a bunch of conference and journal papers.
If you would like more information please send email to N. Morgan at
morgan@icsi.berkeley.edu, or reply to this message.
Gary Tajchman tajchman@icsi.berkeley.edu
International Computer Science Institute TEL: (510)642-4274
1947 Center St., Suite 600 FAX: (510)643-7684
Berkeley, CA
------------------------------
Subject: Combinatorial optimization using neural nets?
From: ARDESHIR <CIVAB@VAXA.HERIOT-WATT.AC.UK>
Date: Fri, 08 Oct 93 13:26:00 +0000
Hello,
I have recently been studying solving combinatorial optimization using
neural nets, in particular graph partitioning and graph matching. I
would be grateful if anyone could recommend me some (or most) of papers
and publications regarding the use of neural nets in graph problems.
Yours Sincerely
A. Bahreininejad
email civab@vaxa.hw.ac.uk ....... for outside U.K.
civab@uk.ac.hw.vaxa ....... for within U.K.
P.S. If possible please provide me with the address(s) for FTP.
------------------------------
Subject: Request for Information - handwriting verification
From: B.FBORTO%CEFET.ANPR.BR@UICVM.UIC.EDU
Date: Fri, 08 Oct 93 15:43:00 -0300
Neuron Digesters,
This is a plea for information. I'm a Ms. student at the Federal Center
of Technology(CEFET), Curitiba-PR, Brazil. My intersts are neural
networks and thier application to handwritten signature verification. I
wonder if any one of you can send me references or exchange information
with me on this subject. Thanks.
Nabeel Murshed
------------------------------
Subject: position @ U. Michigan
From: Colleen Seifert <seifert@psych.lsa.umich.edu>
Date: Mon, 11 Oct 93 10:53:17 -0600
Position in Cognitive Psychology
University of Michigan
The University of Michigan Department of Psychology invites applications
for a tenure-track position in the area of Cognition, beginning September
1, 1994. The appointment will most likely be made at the Assistant
Professor level, but it may be possible at other ranks. We seek
candidates with primary interests and technical skills in cognitive
psychology. Our primary goal is to hire an outstanding cognitive
psychologist, and thus we will look at candidates with any specific
research interest. We have a preference for candidates interested in
higher mental processes or for candidates with computational modeling
skills (including connectionism) or an interest in cognitive
neuroscience. Responsibilities include graduate and undergraduate
teaching, as well as research and research supervision. Send curriculum
vitae, letters of reference,copies of recent publications, and a
statement of research and teaching interests no later than January 7,
1994 to: Gary Olson, Chair, Cognitive Processes Search Committee,
Department of Psychology, University of Michigan, 330 Packard Road, Ann
Arbor, Michigan 48104. The University of Michigan is an Equal
Opportunity/Affirmative Action employer.
------------------------------
Subject: Motif version of hyperplane animator available
From: Lorien Pratt <lpratt@slate.Mines.Colorado.EDU>
Date: Mon, 11 Oct 93 11:46:41 -0700
-----------------------------------
Announcing
the availability of an
X-based neural network hyperplane animator
Version 1.01
October 10, 1993
-----------------------------------
Lori Pratt and Steve Nicodemus
Department of Mathematical and Computer Sciences
Colorado School of Mines
Golden, CO 80401
USA
lpratt@mines.colorado.edu
Understanding neural network behavior is an important goal of many
research efforts. Although several projects have sought to
translate neural network weights into symbolic representations, an
alternative approach is to understand trained networks
graphically. Many researchers have used a display of hyperplanes
defined by the weights in a single layer of a back-propagation
neural network. In contrast to some network visualization schemes,
this approach shows both the training data and the network
parameters that attempt to fit those data. At NIPS 1990, Paul
Munro presented a video which demonstrated the dynamics of
hyperplanes as a network changes during learning. The program
displayed ran on a Stardent 4000 graphics engine, and was
implemented at Siemens.
At NIPS 1991, we demonstrated an X-based hyperplane animator,
similar in appearance to Paul Munro's, but with extensions to allow
for interaction during training. The user may speed up, slow down,
or freeze animation, and set various other parameters. Also, since
it runs under X, this program should be more generally usable.
An openwindows version of this program was made available to the
public domain in 1992. This announcement describes a version of
the hyperplane animator that has been rewritten for Motif. It was
developed on an IBM RS/6000 platform, and so is written in ANSI C.
The remainder of this message contains more details of the
hyperplane animator and ftp information.
1. What is the Hyperplane Animator?
The Hyperplane Animator is a program that allows easy graphical display
of Back-Propagation training data and weights in a Back-Propagation
neural network [Rumelhart, 1987]. It implements only some of the
functionality that we eventually hope to include. In particular, it
only animates hyperplanes representing input-to-hidden weights.
Back-Propagation neural networks consist of processing nodes
interconnected by adjustable, or ``weighted'' connections. Neural
network learning consists of adjusting weights in response to a set of
training data. The weights w1,w2,...wn on the connections into any one
node can be viewed as the coefficients in the equation of an
(n-1)-dimensional plane. Each non-input node in the neural net is thus
associated with its own plane. These hyperplanes are graphically
portrayed by the hyperplane animator. On the same graph it also shows
the training data.
2. Why use it?
As learning progresses and the weights in a neural net alter,
hyperplane positions move. At the end of the training they are in
positions that roughly divide training data into partitions, each of
which contains only one class of data. Observations of hyperplane
movement can yield valuable insights into neural network learning.
3. Platform information
The Animator was developed using the Motif toolkit on an IBM RS6000
with X-Windows. It appears to be stable on this platform, and has not
been compiled on other platforms. However, Dec5000 and SGI workstations
have been succesfully used as graphics servers for the animator.
How to install the hyperplane animator:
You will need a machine which has X-Windows, and the Motif libraries.
1. copy the file animator.tar.Z to your machine via ftp as follows:
ftp mines.colorado.edu (138.67.1.3)
Name: anonymous
Password: (your ID)
ftp> cd pub/software/hyperplane-animator
ftp> binary
ftp> get hyperplane-animator.tar
ftp> quit
2. Extract files from hyperplane-animator.tar with:
tar -xvf hyperplane-animator.tar
3. Read the README file there. It includes information about
compiling. It also includes instructions for running a number of
demonstration networks that are included with this distribution.
DISCLAIMER:
This software is distributed as shareware, and comes with no warantees
whatsoever for the software itself or systems that include it. The authors
deny responsibility for errors, misstatements, or omissions that may or
may not lead to injuries or loss of property. This code may not be sold
for profit, but may be distributed and copied free of charge as long as
the credits window, copyright statement in the program, and this notice
remain intact.
------------------------------
Subject: Neural nets and channel decoding/equalization?
From: "P. BALAY (CCETT/SRL/DCS) (Tel 99124225)" <Pascal.Balay@ccett.fr>
Date: 13 Oct 93 09:36:32 -0100
I'm preparing a Ph.d. concerning the use of neural networks in digital
communications ( especially equalization and channel decoding ). I would
be happy if someone has informations related to this type of research.
thanks to mail me your answers at :
balay@ccett.fr
------------------------------
Subject: Assistant Professor opening
From: Robbie Jacobs <robbie@prodigal.psych.rochester.edu>
Date: Wed, 13 Oct 93 14:20:16 -0500
Dear Colleague:
The attached advertisement describes an Assistant Professor
position for a Behavioral Neuroscientist in the Department
of Psychology at the University of Rochester. It is anticipated
that this position will be available July 1, 1994 or 1995.
We hope to attract a scientist who will interact productively
with existing faculty whose research interests are in developmental
psychobiology and/or learning and memory. Also, the candidate
would be part of a university-wide community of over 60
neuroscientists contributing to inter-departmental graduate
and undergraduate programs in neuroscience.
I would appreciate if you could bring this position to the
attention of suitable candidates.
Sincerely,
Ernie Nordeen
Associate Professor of Psychology
and of Neurobiology & Anatomy
BEHAVIORAL NEUROSCIENTIST. The Department of Psychology at
the University of Rochester anticipates an Assistant Professor
position in neuroscience. We are particularly interested in
persons investigating relationships between brain and behavioral
plasticity at the level of neural systems. Individuals whose
research emphasizes either i) neural mechanisms of learning and
memory, or ii) development/reorganization in perceptual or motor
systems are especially encouraged to apply, but persons interested
in related areas of behavioral neuroscience will also be considered.
The successful candidate is expected to develop an active research
program, and participate in teaching within graduate and undergraduate
programs in neuroscience. Applicants should submit curriculum vitae,
a brief statement of research interests, and three letters of reference
by 1 February 1994 to: Chair, Biopsychology Search Committee,
Dept. of Psychology, University of Rochester, Rochester, NY, 14627.
An Affirmative Action/Equal Opportunity Employer.
------------------------------
Subject: POSITION AVAILABLE
From: "Frances T. Perillo" <Frances.T.Perillo@Dartmouth.EDU>
Date: 14 Oct 93 09:21:13 -0500
Cognitive Position: The Department of Psychology at Dartmouth College has a
junior, tenure-track position available in the area of Cognition -- broadly
construed to include any area of research within Cognitive Psychology,
Cognitive Science, and/or Cognitive Neuroscience. Candidates must be able to
establish a strong research program and must have a commitment to
undergraduate and graduate instruction. Supervision of both graduate and
undergraduate research will be expected. Please send a letter of
application, vita and three letters of recommendation to: Chair, Cognitive
Search Committee, Department of Psychology, 6207 Gerry Hall, Dartmouth
College, Hanover, NH 03755-3459. Review of applications will begin on
February 15, 1994. Dartmouth College is an equal opportunity employer with
an affirmative action plan. Women and members of minority groups are
encouraged to apply.
------------------------------
Subject: Short-term position (London)
From: annette@cdu.ucl.ac.uk (Annette Karmiloff-Smith)
Date: Thu, 14 Oct 93 15:09:23 +0000
can an ad like the following go on the neuron-digest?
if so, please post:
Short term non-clinical scientific post is available at the CDU for 3
years to work on the biological basis of cognitive development alongside
Dr Mark Johnson. The successful candidate should have a PhD and
preferably have experience in the use of event-related potentials as
applied to developmental processes, though this is not essential.
Experience of running ERP studies with infants would be particularly
desirable. Candidates should also have an interest in the brain basis of
cognition. Further details of the post may be obtained from Dr Johnson
by E-mail: mark@cdu.ucl.ac.uk
The salary is on the non-clinical scientific scale 15,563 - 24,736 per
annum plus 2,134 London Weighting.
Applications should be made in writing enclosing CV and names of three
referees to The Director, Professor John Morton, at 4, Taviton Street,
London WC1H OBT, UK (Fax 071-383-0398, E-mail: j.morton@uk.ac.ucl) by 17
Nov 1993. The Medical Research Council is an equal opportunities
employer.
MRC Cognitive Development Unit, London.
------------------------------
Subject: Neurosciences Internet Resource Guide
From: sherylc@umich.edu (Sheryl Cormicle)
Organization: University of Michigan
Date: 14 Oct 93 16:49:10 +0000
========================================================
The Neurosciences: An Internet Resource Guide
========================================================
WHAT WE!RE DOING:
A Neurosciences Internet Resources Guide (NIRG) is currently under
construction at the University of Michigan!s School of Information and
Library Studies.
The NIRG project proposes to bring together related neuroscience
resources in biology, biotechnology, and the bioelectrical and biomedical
fields. Resources will include electronic journals, newsletters,
databases, image and video databases, documents, reports, gopher sites,
usenet and listserv groups, among others.
In order to provide the most useful guide possible, we welcome resource
suggestions from members of the Internet community and specifically those
with some expertise in the neurosciences. If you know of a unique,
relevant, or useful resource, we!d love to hear from you. Even if you
don!t know of a resource, we!d like to know what you think of the value
of such a guide. Your participation is crucial to the success of this
project.
WHY WE!RE DOING IT:
Several excellent guides to Biology resources on the Internet exist (such
as Una R. Smith!s). This project will provide not only a guide with a
tighter focus on neuroscience resources, but also a guide with a broader,
more interdisciplinary approach.
WHO WE ARE:
The NIRG project is directed by Sheryl Cormicle and Steve Bonario, two
Master-level students in the School of Information and Library Studies at
the University of Michigan. The resource guide is a term project and
will be made available to the Internet community in December of this
year. We hope to make the guide available in several formats, including
a simple text file, a gopher document, and an HTML document.
CONTACT:
If you wish to suggest a resource, please send mail to nirg@umich.edu
You may also write to us directly:
Sheryl Cormicle: sherylc@umich.edu
or
Steve Bonario: sbonario@umich.edu
------------------------------
Subject: SUMMARY: use of ANN in QSAR
From: Bernard Budde <BUDDE@SC.AGRO.NL>
Date: Tue, 19 Oct 93 10:25:00 +0000
# Hello,
#
# In Neuron Digest 12(1)1993 (8 sept) I asked for information on the use of
# neural nets in QSAR studies (Quantitative Structure-Activity Relationships),
# responding to Dr. Manallack.
# Two people responded, Dr. Manallack and Mr. Tetko. They sent me interesting
# papers and titles, *thanks*! I'll list their addresses and the titles below.
# From below the sea-level, Bernard Budde
#
# One title I'd like to add:
# Tabak, H.H., R. Govind (1993). Prediction of biodegradation kinetics using a
# nonlinear group contribution method. Environ Toxicol Chem 12:251-260.
#
#----------------------------------------------------------------------------
# Igor V. Tetko
# tetko%bioorganic.kiev.ua@relay.ussr.eu.net
# Ph.D. Student, working with application of NN in QSAR.
#
# Andrea, T.A., and H. Kalayeh, "Application of Neural Networks in QSAR of
# Dihydrofolate Reductase Inhibitors", J. Med. Chem.,1991, 34, 2824-2836
# Aoyama, T., Y. Suzuki, H. Ichikawa, "Neural Networks Applied to QSAR",
# J. Med. Chem., 1990,33,2583-2590
# Aoyama, Y., Y. Suzaki, H. Ichikawa, "Neural Networks Applied to SAR",
# J. Med. Chem. 1990, 38, 905-908
# Chastrette, M., JY de Saint Laumer, "Structure-odor relationships using neural
# networks", Eur. J. Med. Chem., 1991, 26, 829-833.
# Erb, R.J., "Intoduction to Backpropagation Neural Network Computation",
# Pharmaceutical Research, 1993, 10, 165-170
# Liu, Q., S. Hirono, I. Moriguchi, "Application of Functional-Link Net
# in QSAR. 2. QSAR for Activity Data Given by Ratings", Quant. Struct.-Act.
# Relat., 1992, 11, 318-324
# Liu, Q., S. Hirono, I. Moriguchi, "Comparison of the Functional-Link Net and
# the Generalized Delta Rule Net in QSAR", Chem. Pharm. Bull. 1992, 40,
# 2962-2969.
# Tetko, I., A. Luik, G. Poda, "Application of Neural Networks in SAR of
# a Small Number of Molecules", J. Med. Chem., 1993, 36, 811-814.
#
#-----------------------------------------------------------------------------
# David Manallack
# manallack_d%frgen.dnet@smithkline.com
# SmithKline Beecham Pharmaceuticals, Hertz, UK.
# ....NN's designed to perform data analysis and the
# associated dangers of chance effects....
#
# Livingstone, D.J., D.T. Manallack (1993). Statistics using neural networks:
# chance effects. J. Med. Chem. 36(9):1295-1297.
# Livingstone, D.J. and D.W. Salt (1992). Regression analysis for QSAR using
# neural networks. BioMed. Chem. Lett. 2(3):213-218.
# Manallack, D.T. and D.J. Livingstone (1992). Artificial neural networks:
# application and chance effects for QSAR data analysis. Med. Chem. Res.
# 2:181-190.
# Salt, D.W., N. Yildiz, D. Livingstone, C.J. Tinsley (1992). The use of
# artificial neural networks in QSAR. Pestic. Sci. 36:161-170.
#-----------------------------------------------------------------------------
------------------------------
Subject: "On-line" journals and papers?
From: "Frank Zanotto" <"zanotto frank"@a1.snofs1.sno.MTS.dec.com>
Date: Tue, 19 Oct 93 04:55:01 -0800
[[ Editor's Note: Of course, tehre the the Ohio State Neuroprose archive
which is frequently advertised on this Digest. Are there other central
repositories, available via ftp, gopher or wais? -PM ]]
Hello
RE ascii journals and/or papers
Can anyone provide a pointer to an archive of journals and/or papers on
neural networks stored in ascii format ? Reason, I will be accessing the
information and storing the information on a DIGITAL VMS system.
Many thanks.
Regards
Frank Zanotto
------------------------------
End of Neuron Digest [Volume 12 Issue 8]
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