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Neuron Digest Volume 11 Number 29
Neuron Digest Thursday, 29 Apr 1993 Volume 11 : Issue 29
Today's Topics:
Announcement of a new discussion list: Psyche-D
Re: Neuron Digest V11 #25 (software, jobs, discussion, etc.)
Re: forecasting utilising algorithms other than BP.
Reference Help
Fuzzy ARTMAP simulator request (2)
Research Fellowship position
Predictoion of time series with NN.
Finance
Job possibility in London
Research Posts
Adaptive Simulated Annealing (ASA)
The Giant Brain Museum
Image Texture Modeling
Re: Brain Usage
Brain Usage
brain usage
Savants
references request
Bibliography available
Send submissions, questions, address maintenance, and requests for old
issues to "neuron-request@cattell.psych.upenn.edu". The ftp archives are
available from cattell.psych.upenn.edu (130.91.68.31). Back issues
requested by mail will eventually be sent, but may take a while.
----------------------------------------------------------------------
Subject: Announcement of a new discussion list: Psyche-D
From: X91007@PHILLIP.EDU.AU
Date: Fri, 16 Apr 93 18:26:00 -0500
ANNOUNCEMENT OF A NEW DISCUSSION LIST: PSYCHE-D
PSYCHE is a refereed electronic journal dedicated to supporting the
interdisciplinary exploration of the nature of consciousness and its
relation to the brain. PSYCHE publishes material relevant to that
exploration from the perspectives afforded by the disciplines of
Cognitive Science, Philosophy, Psychology, Neuroscience, Artificial
Intelligence and Anthropology. Interdisciplinary discussions are
particularly encouraged.
A new discussion list PSYCHE-D has been created to aid people that are
interested in the subject of consciousness. It is hoped that it will
allow members to share ideas, do common research and so on. PSYCHE-D will
also be used to discuss articles that appear in the journal of the same
name, but in addition members are invited to speak on other related
themes.
To subscribe, just send the command:
SUBSCRIBE PSYCHE-D Your Name
to
LISTSERV@NKI.BITNET
For general information on LISTSERV send the command "INFO PR" or "INFO
?" to LISTSERV@NKI.BITNET.
Subscriptions to the e-journal PSYCHE - as opposed to the discussion
group - may be initiated by sending the "SUBSCRIBE PSYCHE-L Your Name"
one-line command (without quotes) in the body of an electronic mail
message to LISTSERV@NKI.BITNET. If you would like to have any further
information regarding the electronic journal please contact the Executive
Editor of PSYCHE:
Patrick Wilken
E-mail: x91007@phillip.edu.au
For further information regarding PSYCHE-D, or if you have problems
subscribing via LISTSERV, contact the moderator of PSYCHE-D:
David Casacuberta
E-mail: ILFF3@cc.uab.es
------------------------------
Subject: Re: Neuron Digest V11 #25 (software, jobs, discussion, etc.)
From: eytan@dpt-info.u-strasbg.fr (Michel Eytan, LILoL)
Date: Sun, 18 Apr 93 10:25:57 +0000
>From: David Bradbury <D.C.Bradbury@open.ac.uk>
>Date: 31 Mar 93 10:44:25 +0800
>
>Does anyone know where I can get software that can be used to
>build/model/ simulate neural networks and/or genetic algorithms that will
>run on an apple mac or a sun workstation? I am a first year Ph.D student
>looking at modular neural networks.
For the Mac, dunno. However for the Sun (and other workstations), try out
Aspirin/Migraines:
>How to get Aspirin/MIGRAINES
>-----------------------
>
>The software is available from two FTP sites, CMU's simulator
>collection and UCLA's cognitive science machines. The compressed tar
>file is a little less than 2 megabytes. Most of this space is
>taken up by the documentation and examples. The software is currently
>only available via anonymous FTP.
>
>> To get the software from CMU's simulator collection:
>
>1. Create an FTP connection from wherever you are to machine "pt.cs.cmu.edu"
>(128.2.254.155).
>
>2. Log in as user "anonymous" with password your username.
>
>3. Change remote directory to "/afs/cs/project/connect/code". Any
>subdirectories of this one should also be accessible. Parent directories
>should not be. ****You must do this in a single operation****:
> cd /afs/cs/project/connect/code
>
>4. At this point FTP should be able to get a listing of files in this
>directory and fetch the ones you want.
>
>Problems? - contact us at "connectionists-request@cs.cmu.edu".
>
>5. Set binary mode by typing the command "binary" ** THIS IS IMPORTANT **
>
>6. Get the file "am6.tar.Z"
>
>> To get the software from UCLA's cognitive science machines:
>
>1. Create an FTP connection to "ftp.cognet.ucla.edu" (128.97.50.19)
>(typically with the command "ftp ftp.cognet.ucla.edu")
>
>2. Log in as user "anonymous" with password your username.
>
>3. Change remote directory to "alexis", by typing the command "cd alexis"
>
>4. Set binary mode by typing the command "binary" ** THIS IS IMPORTANT **
>
>5. Get the file by typing the command "get am6.tar.Z"
>
>Other sites
>-----------
>
>If these sites do not work well for you, then try the archie
>internet mail server. Send email:
> To: archie@cs.mcgill.ca
> Subject: prog am6.tar.Z
>Archie will reply with a list of internet ftp sites
>that you can get the software from.
Michel Eytan, Lab Info, Log & Lang eytan@dpt-info.u-strasbg.fr
Dpt Info, U Strasbourg II V: +33 88 41 74 29
22 rue Descartes, 67084 Strasbourg FR F: +33 88 41 74 40
------------------------------
Subject: Re: forecasting utilising algorithms other than BP.
From: Nolan J C <nolajy@essex.ac.uk>
Date: Mon, 19 Apr 93 18:16:21 +0000
I am currenly engaged in attemping to apply neural net forecasting
techniques to manufacturing process strategies. While I have had some
luck with BP, in line with the several papers already published in this
field, I am now attempting to apply other neural net algorithms such as
counterpropagation, and cascade correlation.
I would be very interested to know of any similar research readers are
carrying out. Of special interest would be the use of neural networks
for forecasting in a field where all variables taken into consideration
are not easily quatifiable (is this ever the case ?!).
Naturally I will be prepared to discuss my research with interested
parties.
Many thanks.
Julian Nolan,
Department of ESE,
University of Essex,
Colchester,
Essex
UK.
------------------------------
Subject: Reference Help
From: Chihua Chang <changc@eng2.uconn.edu>
Date: Mon, 19 Apr 93 20:31:26 -0800
I am a PhD candidate in Department of Electrical and Systems engineering
at the University of Connecticut. Currently I am selecting a topic for my
PhD dissertation. My main interests in neuron networks are analog neuron
networks (including learning algorithm, convergence analysis and so on)
and its implementation in VLSI circuitry. If anybody knows reference like
paper, book or proceeding related to above area, please send me
information or contact to me directly. I sincerely appreciate your
information.
Thank you in advance.
Edward C. Chang
Department of Electrical and Systems engineering
The University of Connecticut
Storrs, CT 06269
E-mail: changc@lurch.eng2.uconn.edu
------------------------------
Subject: Fuzzy ARTMAP simulator request (2)
From: Dirty Harry <UDAH225@OAK.CC.KCL.AC.UK>
Date: Tue, 20 Apr 93 14:39:00 +0000
Dear Neural Networkers,
I'm trying to use Adaptive Resonance Theory (ART) networks for a
supervised learning application. Are you aware of any simulators (pref.
in C code) for ARTMAP and/or Fuzzy-ARTMAP? Can you suggest any
alternatives (to ART) for pattern recognition with self-organizing neural
networks? Any help would be greatly appreciated.
Thanks in advance.
-------------------------------------------------------------------------
Charalabos(Harry) D. Dimitropoulos hcd@uk.ac.kcl.cc.oak
Tel: +44 (0)71 873 2894
Wheatstone Laboratory Fax: +44 (0)71 872 0201
Department of Physics/King's College London/Strand/London WC2R 2LS/UK
-------------------------------------------------------------------------
------------------------------
Subject: Research Fellowship position
From: Marwan Jabri <marwan@sedal.sedal.su.OZ.AU>
Date: Wed, 21 Apr 93 12:52:14 -0500
Research Fellowship (Fixed-term)
Deadline 29 April 1993.
Systems Engineering and Design Automation Laboratory
Department of Electrical Engineering
The University of Sydney
Reference No: C14/12
The Fellow will work with the Systems Engineering and Design Automation
Laboratory (SEDAL) at Sydney University Electrical Engineering. SEDAL
currently groups 2 academic staff, 5 research staff and ten postgraduate
students. It has projects in the areas of pattern recognition for
implantable devices, VLSI systems and multi-chip modules, time series
prediction, knowledge integration and continuous learning, and VLSI
computer-aided design.
The Research Fellow position is aimed at: contributing to the research
program; helping with the supervision of postgraduate students;
supporting some management aspects of SEDAL; providing occasional
teaching support.
The appointee should have a PhD or equivalent industry research and
development experience. It is desirable that the appointee has a
background in one or more of the following areas: machine intelligence
and connectionist architectures; microelectronics; pattern recognition
and classification.
It is also desirable that the appointee be able to join the group before
July 1993.
Appointment will be for three years. Membership of a superannuation
scheme is a condition of employment for new appointees. For further
information, please contact Dr M Jabri on (61-2) 692 2240, fax (61-2) 660
1228, Email: marwan@sedal.su.oz.au.
Salary: $41,000 - $48,688 per annum
Applications, quoting Reference No, including curriculum vitae, list of
publications, and the names, addresses, fax and phone nos of two referees
to
the Assistant Registrar (Appointments),
Staff Office (K07),
University of Sydney,
NSW 2006
Australia
by 29 April 1993.
------------------------------
Subject: Predictoion of time series with NN.
From: "neural nets-prediction of chaotic series" <vlados@ninurta.fer.uni-lj.si>
Date: Wed, 21 Apr 93 22:04:16 +0100
Hi!
My name is Vlado Stankovski.
I am a student of Computer Science (3.year) who is very much interested
in the field of Neural Networks. I am especially interested in prediction
of natural (chaos+noise) time series using neural nets.
I am looking for a good algorithm to evaluate the fractal and embedding
dimension of the natural time series. The time series that I am
analysing has broad-band power spectra and the Grassberger-Proccacia
algorithm is indicating deterministic chaos (fractal dim.~=5). Can I rely
on this results? Have I properly choosen the autocorrelation length? Or
the time delay? I would also like to draw the attractor but I do not
know how?
So, this are the problems that bother me at present. I believe, this
will help me to set an optimal neural net architecture for prediction of
the series. This problems are comeing next.
If You have at least some similar problems or would like to hear more
about my work then please contact me.
In the free time I study the System of Stanislavsky and I attend a School
of Pantomima (Mime). My profesor of Mime is Andres Valdes.
-------------- CONTACT E_MAIL --------------------------------------
Please, fell free to e_mail me:
--> vlado.stankovski@ninurta.fer.uni-lj.si or
vlado.stankovski@uni-lj.si
--------------------------------------------------------------------
------------------------------
Subject: Finance
From: Mary Scott <71270.465@CompuServe.COM>
Date: 21 Apr 93 21:18:52 -0500
Luscombe was looking for books with neural net applications relating to
finance topics. I suggest Neural Networks in C++ (Adam Blum), chapter 4
has a stock market application. Another book is Neural Network PC Tools
(Eberhart and Dobbins). They have a pretty detailed futures forecast
model in chapter 12. The latest book I've acquired is Neural Networks in
Finance & Investing (edited by Trippi & Turban) and it seems pretty good.
My Harvard classes are keeping me busy so I won't have time to really
look into this tome until the summer time.
Regards,
M. Scott
------------------------------
Subject: Job possibility in London
From: Annette Karmiloff-Smith <annette@cdu.ucl.ac.uk>
Date: Thu, 22 Apr 93 13:10:33 +0000
MEDICAL RESEARCH COUNCIL,
COGNITIVE DEVELOPMENT UNIT, LONDON
A short term non-clinical scientific post is available at the CDU in
London for 3 years, to work on the biological basis of cognitive
development alongside Dr Mark Johnson. The successful candidate should
have a PhD and solid experience in formal computational modelling of
developmental processes. In addition, we would require experience in one
or more biological techniques, such as event- related potentials, as well
as interest in some area of cognitive development.
The salary is on the non-clinical scientific scale Pounds Sterling 15,563
- - 24,736 per annum, plus Pounds Sterling 2,134 London Weighting.
Applications should be made in writing BY 15 MAY 1993, enclosing CV
and names of three referees to:
The Director, Professor John Morton,
17 Gordon Street, London WC1H OAH, UK
(Fax 071-383-0398, E-mail: john@uk.ac.cdu.ucl)
The Medical Research Council is an equal opportunities employer.
- -o0o-
------------------------------
Subject: Research Posts
From: Jon Shapiro <jls@computer-science.manchester.ac.uk>
Date: Fri, 23 Apr 93 17:48:29 +0000
Two Research Posts
Department of Psychology, University of Lancaster
Department of Computer Science, University of Manchester
Short-term memory for verbal sequences: psychological experiments
and connectionist modelling.
Applications are invited for two posts on a research project
investigating short-term memory mechanisms for processing verbal
information. The first post is for a postdoctoral researcher to work with
Dr. Jonathan Shapiro at Manchester on connectionist modelling and
analysis. The second post is for a graduate researcher to assist
Professor Graham Hitch with the psychological experiments.
Both post can begin as soon as possible and run through December 1995.
Applicants for the modelling post should have expertise in computational
and mathematical aspects of connectionism and a Ph.D. in a relevant
subject. The salary range is 15,221 - 16,629 U.K. pounds based on age
and experience. Applicants for the experimental post should have a first
degree in psychology, and interests in memory and cognition. The salary
range is 13,632 - 15,221 U.K. pounds. To apply for either post, send
curriculum vita and the names and addresses of two professional referees
to the address below. For further information, you may also write to the
address below.
- -------------------------------------------------------------------------
Jonathan Shapiro
Computer Science Dept
University of Manchester
Oxford Road
Manchester M13 9PL
United Kingdom.
Phone: 44-(0)61 275 6253
Fax: 44-(0)61 275 6236
E-mail: jls@cs.man.ac.uk
------------------------------
Subject: Adaptive Simulated Annealing (ASA)
From: Lester Ingber <ingber@alumni.cco.caltech.edu>
Date: Fri, 23 Apr 93 12:10:01 -0800
========================================================================
Adaptive Simulated Annealing (ASA)
To get on or off blind-copy ASA e-mailings, just send an e-mail to
ingber@alumni.caltech.edu with your request.
________________________________________________________________________
I have updated the Netlib and Statlib Very Fast Simulated Reannealing
(VFSR) code, now at version 9.4, to this release of ASA. The code
has substantially evolved since its first form in 1987 through its
public release in Nov 92, and this name change reflects this.
NETLIB (compressed share file)
Interactive:
ftp research.att.com
[login as netlib, your_login_name as password]
cd opt
binary
get asa.Z
Email:
mail netlib@research.att.com [AT&T Bell Labs, NJ, USA]
mail netlib@cs.uow.edu.au [U Wollongong, NSW, Australia]
and send the one-line message
send asa from opt
(It may take a week or so for the code in research.att.com to propagate
to the other netlib sites.)
STATLIB (uncompressed share file)
Interactive:
ftp lib.stat.cmu.edu
[login as statlib, your_login_name as password]
cd general
get asan
Email:
mail statlib@lib.stat.cmu.edu
and send the one-line message
send asan from general
If you do not have ftp access, get information on the FTPmail service
by sending the word "help" as a message to ftpmail@decwrl.dec.com.
If you receive ASA via e-mail, then first `uudecode mailfile',
(where mailfile may be a synthesis of several files) to get asa.Z,
and then follow the previous directions.
If this is not convenient, and if your mailer can handle large files,
I directly can send you the code or papers you require via e-mail.
(I have placed a file ingber.tar.Z of papers in ftp.uu.net:/tmp which
can be retrieved via anonymous ftp.) Sorry, I cannot assume the task
of mailing out hardcopies of code or papers.
Lester
========================================================================
|| Prof. Lester Ingber ||
|| Lester Ingber Research ||
|| P.O. Box 857 ||
|| McLean, VA 22101 EMail: ingber@alumni.caltech.edu ||
------------------------------
Subject: The Giant Brain Museum
From: Mark O'Dell <emark@cns.caltech.edu>
Date: Fri, 23 Apr 93 16:26:07 -0800
The Giant Brain Museum
The organizing committee members have gathered together to
promote understanding of the brain. They hope to construct a giant
walk-through brain museum to be useful to experts while appealing to
everyone, including children.
The committee members are:
Marvin Adelson, Prof. of Architecture & Urban Planning, UCLA
Joseph E. Bogen, Clin. Prof. of Neurological Surgery, USC
Marian Diamond, Director, Lawrence Hall of Science, UCB
Frank O. Gehry, Fellow, Amer. Instit. of Architecture
John Hagar, Attorney at Law
Robert B. Lewis, Project Director
Arnold Scheibel, Director, Brain Research Instit., UCLA
Anyone interested in this project, please send your paper mail address to:
Giant Brain
PO Box 50566
Pasadena, CA
91115
USA
or email your paper mail address to me & I will deliver it to the organizers.
Please do not send email without a paper mail address; I am only posting.
Mark O'Dell
emark@cns.caltech.edu
------------------------------
Subject: Image Texture Modeling
From: Badri Roysam <roysam@ecse.rpi.edu>
Date: Mon, 26 Apr 93 14:13:06 -0500
[[ Editor's Note: I am curious about what the general/conventional
methods of image analysis have to say about texture. Can ANNs be used
for tractable texture problems? -PM ]]
I would be very interested in knowing of any papers involving the
modeling of image texture using NNs.
Thanks,
Badri Roysam (roysam@ecse.rpi.edu)
Assistant Professor, ECSE Department,
Rensselaer Polytechnic Institute, Troy, NY 12180-3590
------------------------------
Subject: Re: Brain Usage
From: Ken Laws <LAWS@ai.sri.com>
Date: Mon, 26 Apr 93 22:29:55 -0800
Hypothesis: The more you know, the easier it is to learn more (of similar
material). E.g., the more languages you know, the easier it is to learn
another. (Is this true?) The more math you know, the easier it is to
explore one more branch.
Corollary: The limitation on knowledge capacity is primarily
due to learning rate (and a finite life span), at least in
cultures with adequate libraries. ("Primitive" cultures
probably pass along similar amounts of knowledge through
oral history, environmental awareness, and gossip.)
Observation 1: Some people spend a lot more time learning than others.
Scholars and shamen, for instance. If they learn ten times as much as
others, the others might be said to use only 10% of their capacity.
Observation 2: There are savants -- not always idiot savants -- who can
multiply large numbers or memorize complex music. Such abilities are
sometimes associated with cross-connected sensory paths (such as the
ability to "see" sounds or "taste" colors), so these may not represent
normal human brains. (I hypothesize that the crossed connections
increase the dimensionality of feature space, increasing vector
separability.) Assuming that savant or prodigious abilities are within
all of us, though, we might again guess that we typically use only some
small fraction of our processing power. Say 10%. There might be a
trade-off between representational capacity and processing capacity, but
evidence would suggest otherwise: chess skill, for instance, does not
seem to interact with language ability or other forms of knowledge and
processing. Combining the two estimates, then, we can say that few
humans approach 1% of their potential.
Observation 3: The previous result ignores temporal limitations. Even if
it were possible to develop one skill after another to the level of a
prodigy, a lifetime is too short to do so. I can imagine a person
tutored constantly throughout life being able to develop
professional-level skills in no more than about ten disciplines. Perhaps
interactive multimedia software will give us another order of magnitude,
but I am inclined to believe that faster learning of multiple, unrelated
subjects also means faster forgetting. I don't believe that I could be
more than ten times as competent as I am (or will be in old age), no
matter how much effort I put into it.
Conclusion: Ten percent seems about right for intellectually active
people, one percent for the intellectually lazy. Whether the brain could
hold more is moot since the input channel is so limited. If it is true
that the more you know, the more you can learn, and if knowledge is
"continuous" and "everywhere dense," there is no meaningful limit on
brain capacity.
-- Ken Laws
laws@ai.sri.com
- -------
------------------------------
Subject: Brain Usage
From: Mark Burrell <CIY4@VAXE.NEWCASTLE-POLY.AC.UK>
Date: Tue, 27 Apr 93 10:51:00 +0000
Although not my field, I enjoyed reading the discussion on brain usage
and thought I would respond with a quick thought (brain usage?)
I've just put down the novel 'The Turing Option' by Harry Harrison and
Marvin Minsky - having been drawn to it by the name 'Turing' and then
'Minsky'.
In the novel the hero (an AI specialist) lives through a major brain
operation and ends up developing true AI. (This is the superduper
abstract). The threads of 'intelligence' and 'AI' are well and truly
woven together in an enjoyable piece of fiction.
Anyway, back to 'brain usage' - what has Minsky to say on the subject?
Mark Burrell
------------------------------
Subject: brain usage
From: speidel%gandalf.nosc.mil@nosc.mil (Steven L. Speidel)
Date: Tue, 27 Apr 93 09:39:09 -0800
A physician commented recently that alzheimer-like behavioral problems
seem sometimes to be correlated with head injury earlier in life, as
though the person has lost his/her reserve of neurons in some area of the
brain and therefore aging of the remaining functional ones becomes an
intractable problem for the local network.
Steve Speidel
speidel@nosc.mil
------------------------------
Subject: Savants
From: ecarsten@cs.umr.edu
Date: Tue, 27 Apr 93 20:21:42 -0700
[[ Editor's Note: See also Ken Laws' message elsewhere in this Digest -PM ]]
I am new to this group so this may have been discussed before but
here goes anyway...
In every generation there seems to be a percentage of people gifted with
magnificient abilities, be it computational, musical, or other. We have
all heard about these savants. One such person recently computed the
cube root of a 200 digit number in Texas. When asked how they accomplish
such feats, they cannot give an answer (it's probably like asking us how
it is we can learn to communicate so easily as children -- it just
happens). So what's going on here? Well, I think that these savants
carry a special gene which allocates or activates a part of the mind
specifically for the purpose (of computation, music, etc) and that they
have a neural network devoted to the task already built in. Thus, they
cannot explain how they accomplish the tasks anymore than we can explain
how it is we can quickly process visual information so efficiently. If
someone was able to construct a neural network to perform similar feats,
it might lend credence to the theory. Any takers? :)
- -Ed Carstens
ecarsten@cs.umr.edu
------------------------------
Subject: references request
From: Alfonso Pitarque Gracia <pitarque@mac.uv.es>
Date: Tue, 27 Apr 93 11:45:16 +0000
[[ Editor's Note: Perhaps the announced bibliography in the message
following this one might be a good starting place? -PM ]]
Could anyone send me some references/bibliography about the relationship
between logic systems/automatic proof theory and neural
networks/connectionism?. I am a philosopher who is working about this
theme.
Thanks in advance,
Alfonso Pitarque
**************************
Alfonso Pitarque
Facultad de Psicologia
Universidad de Valencia
Avda. Blasco Ibanez, 21
46010 Valencia (Spain)
e-mail:pitarque@mac.uv.es
**************************
------------------------------
Subject: Bibliography available
From: Ron Sun <rsun@athos.cs.ua.edu>
Date: Wed, 28 Apr 93 10:30:55 -0600
----------------------
Bibliography Available
----------------------
A compiled bibliography of connectionist models with symbolic processing
is available in neuroprose now. This bibliography will be included in:
R.Sun and L.Bookman. (eds.)
Computational Architectures Integrating Neural and Symbolic Processes.
Kluwer Academic Publishers. 1993.
Thanks to all those who contributed.
Any further suggestions and additions are also welcome.
To get a copy of the bibliography, use FTP as follows:
unix> ftp archive.cis.ohio-state.edu (or 128.146.8.52)
Name: anonymous
Password:
ftp> cd pub/neuroprose
ftp> binary
ftp> get sun.nn-sp-bib.ps.Z
ftp> quit
unix> uncompress sun.nn-sp-bib.ps.Z
unix> lpr sun.nn-sp-bib.ps (or however you print postscript)
* As usual, no hardcopy available. Sorry.
------------------------------
End of Neuron Digest [Volume 11 Issue 29]
*****************************************
