NetNews Usenet Archive 1992 #20/NN_1992_20.iso/spool/comp/ai/neuraln/3457

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From: [e-mail] ("Neuron-Digest Moderator")
Newsgroups: comp.ai.neural-nets
Subject: Neuron Digest V10 #2
Message-ID: <[e-mail]>
Date: 11 Sep 92 15:43:49 GMT
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Neuron Digest   Friday, 11 Sep 1992
                Volume 10 : Issue 2

Today's Topics:
                      Position available - postdoc
                     Neural Networks in Astronomy...
           RE: Neuron Digest V10 #1 (discussion + conferences)
                    reply to query in Vol 10, issue 1
                            Self-introduction
                       Final Reminder: AAI-XI CFP
            Physics of Computation Workshop - Space available


Send submissions, questions, address maintenance, and requests for old
issues to "[e-mail]". The ftp archives are
available from cattell.psych.upenn.edu (128.91.2.173). Back issues
requested by mail will eventually be sent, but may take a while.

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

Subject: Position available - postdoc
From:    [e-mail] (Shawn Lockery)
Date:    Fri, 04 Sep 92 10:39:50 -0800

                        POSTDOCTORAL POSITION
                      INSTITUTE OF NEUROSCIENCE
                        UNIVERSITY OF OREGON

I am looking for an electrophysiologist experienced in intracellular and
voltage-clamp recording with an interest in distributed processing and
network modeling.  Projects include identification of interneurons,
measurement of synaptic transfer functions, measurement of parameters for
compartmental models of identified neurons, and compartmental and neural
network modeling.  Please send letter and CV via email.

Shawn R. Lockery

Present address:
        CNL
        Salk Institute
        Box 85800
        San Diego, CA 92186-5800
        [e-mail]
        fax: [phone]


GENERAL DESCRIPTION OF THE RESEARCH INTERESTS

Research in the Lockery lab investigates the distributed processing of
sensory information in well-defined invertebrate networks.  Distributed
representations occur in a great many neural systems, but how they are
integrated in the production of behavior is poorly understood.  This
problem is addressed by analyzing the neural basis of behavior and
learning in two relatively simple distributed processing behaviors: the
local bending reflex of the leech and the chemotactic response of the
nematode C.  elegans.  Composed of a small number of repeatably
identifiable sensory, motor, and interneurons, the local bending reflex
computes a sensory-motor input-output function using a population of
interneurons each with many sensory inputs and motor outputs.  Lockery
and co-workers record this input-output function intracellularly and use
the recordings as input to neural network training algorithms such as
backpropagation to adjust synaptic connections in models of the reflex.
The models predict as-yet-undiscovered interneurons and possible sites of
synaptic plasticity underlying nonassociative conditioning.  These
predictions are tested in physiological experiments to measure the
connections of identified interneurons in normal and conditioned animals.
Previous anatomical studies have described the complete wiring diagram of
the nervous system of C. elegans.  The anatomy shows that interneurons
receive input from several chemosensory neurons with differing chemical
sensitivities and have outputs to many different motor neurons.  To
understand how the network controlling chemotaxis operates, we train
models of the anatomically defined circuitry to reproduce observed
chemotactic behavior.  The models are constrained by parameters that can
be measured physiologically and predict the results of experiments in
which particular neurons are ablated in the behaving animal.



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

Subject: Neural Networks in Astronomy...
From:    [e-mail] (Erik Johansson)
Date:    Fri, 04 Sep 92 11:01:30 -0800


Here are some references for NNs and astronomy of which I am aware (I
have repeated references which you may already have for the benefit of
others):

"Use of a neural network to control an adaptive optics system for an
astronomical telescope", D. G. Sandler, et al., Nature, Vol 351, 23 May
1991, 300-302.

"Adaptive optics for array telescopes using neural-network
techniques", J. R. P. Angel, et al., Nature, Vol 348, 15 Nov 1990,
221-224.

"First results of an on-line adaptive optics system with atmospheric
wavefront sensing by an artificial neural network", M. Lloyd-Hart, et
al., Steward Observatory Preprint No. 1036, Univ of Arizona, accepted
by Astrophysical Journal Letters.

"Atmospheric modeling with the intent of training a neural net
wavefront sensor", D. Colucci, et al., SPIE Orlando 92 (SPIE Vol No
unknown).


Erik Johansson
Laser and Imaging Sciences Group
Lawrence Livermore National Laboratory


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

Subject: RE: Neuron Digest V10 #1 (discussion + conferences)
From:    [e-mail]
Date:    Mon, 07 Sep 92 10:37:00 +0000

   Dear All,
       Following the question by Ade Miller about papers on ANN in Astronomy
   I enclose the abstract of a paper we have completed  recentrly
   on "Morphological Classification of Galaxies by ANN"
   (Storrie-Lombardi, M., Lahav, O., Sodre, L. & Storrie-Lombardi, L.;
   Mon. Not. Royal Astronomical Society, in press).
   We are currently working on further extragalactic applications of ANN.

     Best Regards,

         Ofer Lahav
         Institute of Astronomy
         Madingley Road
         Cambridge  CB3 0HA
         England

      e-mail: [e-mail]
      Tel. [phone]
      Fax.  [phone]

- --------------------------------------------------------------
{\bf MORPHOLOGICAL CLASSIFICATION OF GALAXIES }

{\bf BY ARTIFICIAL NEURAL NETWORKS}

\bigskip
M. C. Storrie-Lombardi$^1$, O. Lahav$^1$, L. Sodr\'e Jr.$^{2,3}$,
and L. J. Storrie-Lombardi$^1$

\bigskip

1. Institute of Astronomy, Madingley Rd., Cambridge, CB3 OHA

2. Royal Greenwich Observatory, Madingley Rd.,  Cambridge CB3 0EZ

3. Instituto Astron\^{o}mico e Geof\'{i}sico da Universidade de S\~{a}o Paulo,

~~ CP9638, 01065,
S\~ao Paulo, Brazil.

\bigskip

{\bf ABSTRACT.} We explore a method for
automatic morphological classification of
galaxies
by  Artificial Neural Network algorithm.
The method is illustrated using 13 galaxy parameters
measured by machine (ESO-LV),
and classification into 5 types (E, S0, Sa+Sb, Sc+Sd and Irr).
A simple Backpropagation algorithm allowed us to train a Network on
a subset of the
catalogue according to the catalogue human classification,
and then to  predict, using the measured parameters, the
classification for the rest of the catalogue.
We show that the Neural Network behaves in our problem as a
 Bayesian classifier,
i.e., it assigns the {\it a posteriori} probability for each
of the  5 classes considered.
The
Network highest probability choice agrees with the  catalogue
classification for  64 \% of the galaxies.
If either the first or the second highest  probability choice of the Network
is considered, the success rate is 90 \%.
The technique allows production of uniform and more objective classification
of very large extragalactic data sets.




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

Subject: reply to query in Vol 10, issue 1
From:    [e-mail]
Date:    Tue, 08 Sep 92 11:10:26 +0100

In Vol. 10, Issue 1, Ade Miller ([e-mail])
asked about neural network applications in astronomy.  Here is a short
list (incl. some of those mentioned by Ade Miller) - definitely not
exhaustive.

                                          Fionn Murtagh ([e-mail])


(1) Introduction

    Adorf and Johnston, "Artificial neural nets in astronomy", in Proc.
    Workshop "Konnektionismus", Lischka and Kindermann, Eds.,
    Arbeitspapier der GMD, Bonn, Vol. 329, pp. 3-5, 1988

    Adorf, "Connectionism and Neural Networks", in Heck and Murtagh, Eds.,
    Knowledge-Based Systems in Astronomy, Springer-Verlag, 1989

(2) Scheduling - optimization - constraint satisfaction

    Johnston and Adorf, "Learning in stochastic neural networks for constraint
    problems", Proc. NASA Conf. Space Telerobotics, Vol. II, Rodriguez and
    Seraji, Eds., 367-376, 1989

    Adorf and Johnston, "A discrete stochastic neural network algorithm for
    constraint satisfaction problems", IJCNN'90 III, 917-924, 1990

    Johnston and Adorf, "Scheduling with neural networks - the case of the
    Hubble Space Telescope", Computers Ops. Res., 19, 209-240, 1992

(3) Deconvolution - inverse problems

    Jeffrey and Rosner, Astronomical Journal, 310, 473-481, 1986

(4) Adaptive optics - wavefront sensing/control

    Angel et al, Nature 348, 221-224, 1990

    Sandler et al, Nature 351, 300-302, 1991

(5) Object detection, classification and discrimination

    A. Connors et al., "Neural net approaches for event location in the
    detector modules", in Di Gesu et al., Eds., Data Analysis in Astronomy
    IV, Plenum Press, 271-282, 1992

    M. Serra-Ricart et al., "Faint object classification using neural
    networks", in Worrall et al., Eds., Astronomical Data Analysis Software
    and Systems I, Astron. Soc. Pac. Conf. Ser. Vol. 25, 254-256, 1992

    Odewahn et al, "Automated star/galaxy discrimination with neural networks",
    Astron. Jnl., 103, 318-331, 1992

    Murtagh and Adorf, "Detecting cosmic ray hits on HST WF/PC images using
    neural networks and other discriminant analysis approaches", in Di Gesu
    et al., Eds., Data Analysis in Astronomy IV, Plenum Press, 103-111, 1992

    Murtagh, "Cosmic ray discrimination on HST WF/PC images: object
    recognition-by-example", in Worrall et al., Eds., Astronomical Data
    Analysis Software and Systems I, Astron. Soc. Pac. Conf. Ser. Vol. 25,
    265-273, 1992

    Hernandez-Pajares et al., "Classifying stars: a comparison between
    classical, genetic and neural network algorithms", in Heck and Murtagh,
    Eds., Astronomy from Large Databases II, Eur. Southern Obs., 1992
    (forthcoming - proc. of conf., Haguenau, France, 14-16 Sept. 1992)

    Hernandez-Pajares et al., "Study of the self-organizing maps of one local
    stellar sample", in Heck and Murtagh, Eds., (as foregoing)

(6) Don't forget forecasting sunspots...






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

Subject: Self-introduction
From:    [e-mail] (Jeff Kidder)
Date:    Tue, 08 Sep 92 11:32:16 -0800

Hi,

I am a PhD Graduate Student in Mathematics at the University of
California, at Berkeley.  I work in Dynamics under Prof. Hirsch on
discontinuous differential equations arising in applications such as
Neural Networks (with infinite gain), game theory, and engineering.  [any
references appreciated.]  During my summers I have been working at Intel
Corp. in a research group that does Neural Net applications,
Speech/Handwriting/Image recognition, and other algorithmic research.

Regards,
  Jeff Kidder
  Mathematics, UCB
  Email : [e-mail] || [e-mail]



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

Subject: Final Reminder: AAI-XI CFP
From:    [e-mail] (Usama Fayyad)
Date:    Tue, 08 Sep 92 15:04:52 -0800

______________________________________________________________________________

 FINAL CALL FOR PAPERS -- submission due date 9/14/92 -- FINAL CALL FOR PAPERS
______________________________________________________________________________


     APPLICATIONS OF AI (XI): Knowledge-Based Systems in Aerospace & Industry
     ------------------------------------------------------------------------

            April 12-14, 1993
            Marriott's Orlando World Center
            Resort and Convention Center
            Orlando, Florida, U.S.A.

Sponsored by:        SPIE - The Society for Optical Engineering
In cooperation with: AAAI - The American Assoc. for Artificial Intelligence
                     AIAA - The American Inst. of Aeronautics & Astronautics
                     IEEE Computer Society
                     IEEE Systems, Man, and Cybernetics Society

  The Eleventh Applications of Artificial Intelligence Conference will be
held April 12-14 in Orlando, FL. We invite you to submit a paper by the
deadline of Sept. 14, 1992. Details of areas and deadlines given below.

Conference Co-Chairs:
     Usama M. Fayyad                     Ramasamy Uthurusamy
     Jet Propulsion Lab                  General Motors Research Laboratories
     California Institute of Technology

Program Committee:

 Ray Bareiss, Northwestern Univ.      | Steven Lytinen, The Univ. of Michigan
 James Bezdek, Univ. of West Florida  | Stephen C.Y. Lu, Univ. of Illinois
 Gautam Biswas, Vanderbilt Univ.      | Ray Mooney, Univ. of Texas at Austin
 Wray Buntine, NASA Ames Research Ctr.| Gregory Piatetsky-Shapiro,  GTE Labs
 Steve Chien, Jet Propulsion Lab      | J.Ross Quinlan, Univ. of Sydney
 T. Dillon, La Trobe Univ.            | Ethan Scarl, Boeing Computer Services
 Richard Doyle, Jet Propulsion Lab    | Jude Shavlik, Univ. of Wisconsin
 Doug Fisher, Vanderbilt Univ.        | Prakash Shenoy, Univ. of Kansas
 Paul Fishwick, Univ. of Florida      | N.S. Sridharan, Intel Corporation
 David Franke, MCC                    | Evangelos Simoudis, Lockheed Aerospace
 Ashok Goel, Georgia Tech.            | Stephen Smith, Carnegie Mellon Univ.
 Larry Hall, Univ. of South Florida   | Jon Sticklen, Michigan State Univ.
 Yumi Iwasaki, Stanford Univ.         | R. Zurawski, Swinburne Inst. of Tech.
 Ramesh Jain, The Univ. of Michigan   |

 This year we will focus on techniques and applications that deal with
actual industrial and aerospace applications of AI, machine learning,
and reasoning systems.

Topics of interest include but are not limited to:

1. Machine Learning
2. Industrial and Aerospace Applications
3. Diagnostic Systems
4. Knowledge Acquisition and Refinement
5. Knowledge Based Systems: Verification and Validation
6. Manufacturing Systems
7. Case-Based Reasoning
8. Functional Reasoning
9. Model-Based and Qualitative Reasoning
10. Multilevel and Integrated Reasoning Systems
11. Planning and Scheduling
12. Design
13. Training and Tutoring Systems
14. Intelligent Interfaces and Natural Language Processing
15. Intelligent Database Systems
16. Parallel Architectures

In addition there will be 2-3 plenary sessions, and one or more panel
discussions. We also solicit suggestions for special sessions (e.g., Case-Based
Tutoring, Reactive Planning in Space Missions).  A one-page description of such
a suggestion should be sent to the Conference Chairs, who will then forward it
to appropriate members of the Program Committee for evaluation.  Selection will
be based on how well the topic relates to the general theme of the conference,
and the level of interest it is likely to generate.

To submit a paper, send four copies of a complete paper not exceeding 10 pages
single-spaced (approx. 5000 words) including figures and bibliography by
September 14, 1992 to:

                 Applications of AI XI: KBS
                 SPIE, P.O. Box 10
                 1000 20th Street
                 Bellingham, WA 98225.

                 Tele: (206)-676-3290;  Telefax: (206)-647-1445.

Submissions will be reviewed by at least two members of the program committee
and reviews will be returned to the authors.  It is important that
each paper clearly state the problem which is being addressed, the contribution
that has been made, and the relation to the current state of the art.

The program committee and conference chairs will make a selection of the best
papers accepted, and these authors will be invited to submit a revised version
of their paper to one or more special issues of journals in AI (to be decided
later).

Papers submitted to the Knowledge-Based Systems conference should not also be
submitted to the Machine Vision & Robotics conference of Applications of AI XI.
Questions about which conference is most suitable for a particular paper
should be directed to the program chairmen.

Each presenter is generally allowed 20 to 25 minutes for presentation, plus a
brief discussion period (about 5 minutes). SPIE will provide the following
media equipment free of charge: 35 mm carousel slide projectors, overhead
projectors, electronic pointers and VHS format video display.

Author Benefits
  Authors and coauthors who attend the conference will be accorded a
  reduced-rate registration fee, a complimentary one-year non-voting
  membership in SPIE (if never before a member), and other special benefits.

IMPORTANT DATES: PAPERS DUE:                           September 14, 1992.
                 ACCEPT/REJECT LETTERS SENT BY:        November 20, 1992
                 CAMERA-READY PAPERS (5000 words) DUE: January 18, 1993.
                 CONFERENCE DATES:                     April 12-16, 1993.

Further questions may be directed to (e-mail preferred):

  Dr. Usama Fayyad                              Dr. Ramasamy Uthurusamy
  AI Group  M/S 525-3660                        Computer Science Department
  Jet Propulsion Lab                            General Motors Research Labs
  California Institute of Technology            30500 Mound Rd.
  Pasadena, CA 91109                            Warren, MI 48090-9055

  phone: [phone]                         phone: [phone]
  fax:   [phone].                        fax:   [phone]
  e-mail: [e-mail]               e-mail: [e-mail]

______________________________________________________________________________

 FINAL CALL FOR PAPERS -- submission due date 9/14/92 -- FINAL CALL FOR PAPERS
______________________________________________________________________________




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

Subject: Physics of Computation Workshop - Space available
From:    [e-mail] (Steve Ford)
Date:    Thu, 10 Sep 92 15:25:52 -0600


Attached is the Advance Program for the Physics of Computation Workshop to be
held in Dallas October 2 - 4.  We still have some space available.  If you are
interested in attending, please contact me before Monday, September 14 for
registration information.  The remaining seats will be filled on a first come,
first served basis.

Steve Ford                                      Net: [e-mail]
Texas Instruments                               Tel: [phone]
Computer Science Laboratory                     Fax: [phone]
PO Box 655474, MS 238, Dallas, TX 75265         MSG: SFRD

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

                   The Symbiosis of Physics and Computation
                                Advance Program
                        Physics of Computation Workshop
                      October 2 - 4, 1992, Dallas, Texas
                   Sponsored by Dallas IEEE Computer Society
               Corporate Sponsor: Texas Instruments Incorporated

The Physics  of  Computation  Workshop  is  an  opportunity for participants to
better understand and contribute to the intimate relationship  emerging between
Modern Physics  and  Computation  Theory.   One  commonly  held  view  is  that
information laws are dependent on the  laws of physics.  Another emerging  view
is that the universe would  not work without information  primitives underlying
physical laws.  Both of these views  conclude that physics and computation  are
linked together at a very fundamental level.  Understanding the convergence  of
computation and physics will lead to  a better understanding of using  physical
mechanisms as computing engines, and also lead to a better understanding of how
the universe is organized.   This field will  become increasingly important  as
the complexity and computational horsepower requirements continually exceed the
available computing engines we are able to design or build.

The keynote speaker for the workshop will be Rolf Landauer. The banquet speaker
will be Ed Fredkin.  Rolf Landauer, Ed Fredkin, and Tom Toffoli  organized  the
first conference on the Physics of Computation.  Creative thinkers are  welcome
from any background, but basic  interest  or  expertise  in  physics,  computer
sciences, mathematics, philosophy and/or  psychology  will  contribute  to  the
discussions.  You are not expected to come with answers, but with  an  interest
in exploring the questions.  We are interested in papers that unify Computation
(Information  Theory,  Communication  Theory,  Algorithms,  Cellular  Automata,
Automatic Learning, Neural Networks, Architecture, Simulation, etc) and Physics
(Entropy, Thermodynamics, Complexity, Quantum Theory, Energy/mass,  Relativity,
Gravity, etc).  The goal  of  this  workshop  is  to  establish  links  between
participants from various backgrounds.

BACKGROUND: The first conference on the Physics of Computation was held in 1981
at MIT.  The papers from that conference were printed in the 1982 International
Journal for  Theoretical  Physics,  Vol  21,  April, June, and December issues.
Work in this field  has focused on  how energy consumption  and computation are
related.   Many  excellent  papers   on  reversible  computation,   and  energy
costs/limits  of  computation,  and  quantum  models  of  computation   provide
introductions to the subject.  We are assembling a bibliography for this field.

REGISTRATION: Registration must be completed by Monday,  September 14.  A block
of rooms has been reserved at a North Dallas area hotel.  The room rate is  $59
per night.  The workshop fee is $100, payable by check or money order.  We only
have a small number of seats still available, which  will  be  allocated  on  a
first come, first served basis.  Full registration details are  available  upon
request to:

  email: [e-mail]

   mail: Steve Ford
         Texas Instruments Incorporated
         Computer Science Laboratory
         PO Box 655474, MS 238
         Dallas, TX 75265

 street: Steve Ford
         Texas Instruments Incorporated
         Computer Science Laboratory
         13510 North Central Expressway, MS 238
         Dallas, TX   75243

  phone: [phone]

    fax: Steve Ford @ [phone]

PRELIMINARY CONFERENCE PROGRAM:
******************** THURSDAY: October 1, 1992 ******************
 6:00pm - 10:00pm  Early Registration
 7:00pm -  9:00pm  Reception at hotel

******************** FRIDAY: October 2, 1992 ********************
 8:00am -  9:00am  Registration and Continental Breakfast
                   ***************** SESSION 1 ******************
 9:00am -  9:10am  Doug Matzke
                   Welcome and Introduction
 9:10am - 10:00am  Keynote Address
                   Rolf Landauer
                   Information is Physical
10:00am - 10:20am  Break
                   ***************** SESSION 2 ******************
10:20am - 10:35pm  Tom Toffoli
                   What are Nature's `Natural' Ways of Computing?
10:35am - 10:50am  Joao Pedro Leao
                   Artificial Physics, the Soul of a New Discipline
10:50am - 11:00am  Fredrick Turner
                   Nonlinear Time and the Human Brain
11:00am - 11:10am  Tor Norretranders
                   Position paper on Complexity and Consciousness
11:10am - 11:20am  Qiuen Yu
                   Linguitic Mechanism, Physical Mechanism, and the
                   Secondary Non-r.e.ness of the Physical World
11:20am - 11:30am  Doug Matzke
                   Physics of Computational Abstraction
11:30am - 12:00am  Questions/Answers and Discussion
12:00pm -  1:15pm  Lunch
                   ***************** SESSION 3 ******************
 1:15pm -  1:30pm  Paul Vitanyi
                   Theory of Theormodynamics of Computation
 1:30pm -  1:40pm  Jose Manuel Fernandez
                   Computational Entropies
 1:40pm -  1:50pm  Franklin Boyle
                   Physical Laws and Information Content
 1:50pm -  2:00pm  David Wolpert
                   Information Theory and Memory
 2:00pm -  2:10pm  Peter Cheeseman
                   Hard Problems, Phase transitions and Computability
 2:10pm -  2:20pm  Carlton Caves
                   Information and Entropy
 2:20pm -  2:30pm  Ruediger Schack
                   Information and Available work in the
                   Perturbed Baker's Map
 2:30pm -  3:00pm  Questions/Answers and Discussion
 3:00pm -  3:15pm  Break
                   ***************** SESSION 4 ******************
 3:15pm -  3:30pm  Tom Lynch
                   The Energy Content of Knowledge
 3:30pm -  3:40pm  Nick Lawrence
                   Physical Limits, and Information as a Form of Matter
 3:40pm -  3:50pm  Marcelo Schiffer
                   The Transmission of Information in Space-time
 3:50pm -  4:00pm  Chris Fuchs
                   Landauer's Principle and Black Hole Entropy
 4:00pm -  4:10pm  Andy Rex
                   Maxwell's Demon
 4:10pm -  4:20pm  Ross E. Larsen
                   Entropy and Information in Computer Simulations
                   of an Automated Maxwell's Demon
 4:20pm -  4:30pm  Tom Schneider
                   Use of Information Theory in Molecular Biology
 4:30pm -  4:40pm  Soren Brunak
                   Computational Biosequence Analysis by Neural Networks
 4:40pm -  5:15pm  Questions/Answers and Discussion
 6:30pm -  8:30pm  Banquet
                   Ed Fredkin (Banquet Speaker)
                   *************** SIG SESSION 1 ****************
 8:30pm - 11:30pm  Special Interest Group Committee meetings

********************** SATURDAY: October 3, 1992 ********************
 7:30am -  8:15am  Continental Breakfast
                   ***************** SESSION 5 ******************
 8:15am -  8:45am  Ed Fredkin
                   Finite Nature
 8:45am -  9:00am  Charles H. Bennett
                   Logical Depth and Other Intrinsically Plausible
                   Structural Properties
 9:00am -  9:10am  John Denker
                   Natural versus `Universal' Probability Distributions
 9:10am -  9:20am  Richard Shoup
                   On Physics and Computation
 9:20am -  9:30am  Hillol Kargupta
                   Drift, Diffusion and Boltzman Distribution
                   in Simple Genetic Algorithm
 9:30am -  9:40am  Andy Penz
                   The Key Is RELEVANT Information
 9:40am -  9:50am  Nick Zhang
                   Complexity of Neural Network Learning in Real Number Model
 9:50am - 10:00am  Riley Jackson
                   Quantum Mechanical Neural Networks:
                   An Isoperimetric Extremization
10:00am - 10:30am  Questions/Answers and Discussion
10:30am - 10:45am  Break
                   ***************** SESSION 6 ******************
10:45am - 11:00am  Asher Peres
                   Storage and Retrieval of Quantum Information
11:00am - 11:10am  Richard Jozsa
                   Computation and Quantum Superposition
11:10am - 11:20am  Bob Dawes
                   Quantum Neurodynamics
11:20am - 11:30am  Vaughan Pratt
                   Quantum Logic, Linear Logic, and Constructivity
11:30am - 11:40am  William K. Wootters
                   The Two Extremes of Information in Quantum Mechanics
11:40am - 11:50am  Hrvoje Hrgovcic
                   Discrete Representations of N-dimensional Wave equations
                   and their Applications to Quantum Mechanics
11:50am - 12:00am  Kazuhiro IGETA
                   Physical Meaning of Computation
12:00am - 12:20am  Questions/Answers and Discussion
12:20pm -  1:35pm  Lunch
                   ***************** SESSION 7 ******************
 1:35pm -  1:50pm  Seth Lloyd
                   Dynamics and Thermodynamics of Quantum-Mechanical Computers
 1:50pm -  2:00pm  Benjamin Schumacher
                   Quantum Coding
 2:00pm -  2:10pm  Gilles Brassard
                   The Quantum Challenge to Complexity Theory
 2:10pm -  2:20pm  Claude Crepeau
                   Cryptographic Primitives and Quantum Theory
 2:20pm -  2:30pm  Andre Berthiaume
                   Position paper on quantum cryptography
 2:30pm -  2:40pm  David B. Benson
                   On Convolution
 2:40pm -  2:50pm  Lev Levitin
                   Information Theory for Quantum Systems
 2:50pm -  3:10pm  Questions/Answers and Discussion
 3:10pm -  3:25pm  Break
                   ***************** SESSION 8 ******************
 3:25pm -  3:40pm  Richard Blahut
                   Modern Methods for Digital Transmission of Information
 3:40pm -  3:50pm  Ralph Merkle
                   Towards Practical Reversible Logic
 3:50pm -  4:00pm  Wolfgang Banzhaf
                   Competition as an Organizational Principle
                   for Massively Parallel Computers?
 4:00pm -  4:10pm  Patricia Patterson
                   Entropy, Fault tolerance, and Multicomputer Networks
 4:10pm -  4:20pm  Josh Storrs Hall
                   An Electroid Switching Model for Reversible
                   Computer Architectures
 4:20pm -  4:30pm  Joe Touch
                   Physics Analogs in Communications Models
 4:30pm -  4:40pm  Norm Margolus
                   A Bridge of Bits
 4:40pm -  5:30pm  Questions/Answers and Discussion
 5:30pm -  8:30pm  Dinner open
                   *************** SIG SESSION 2 ****************
 8:30pm - 11:30pm  Special Interest Group Committee Meetings

********************* SUNDAY: October 4, 1992 *******************
 7:30am -  8:30am  Continental Breakfast
                   ***************** SESSION 9 ******************
 8:30am -  8:40am  William R. Frensley
                   Physics of Gain in Nanoelectronic Systems
 8:40am -  8:50am  Akhilesh Tyagi
                   Energy-Time Trade-offs in VLSI Computations
                   and Principle of Least Computational Action
 8:50am -  9:00am  Jeff Koller
                   Adiabatic Switching, Low Energy Computing, and the
                   Physics of Storing and Erasing Information
 9:00am -  9:10am  Phil Bagwell
                   Entropy Flow in a Mesoscopic Conductor
                   and the Entropy of Erasure
 9:10am -  9:20am  Neil Gershenfeld
                   Position paper about Time Series Problems
 9:20am -  9:30am  Gary Frazier
                   Nanoelectronics
 9:30am -  9:40am  Bob Bate
                   VLSI limits
 9:40am -  9:50am  Jane Alexander
                   Ultra at Darpa
 9:50am - 10:15am  Questions/Answers and Discussion
10:15am - 10:30am  Break
                   ***************** SESSION 10******************
10:30am - 12:00am  Special Interest Group Recommendations & Discussion
                   Committees will elect spokesman
12:00am - 12:15pm  Summary and Farewell



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End of Neuron Digest [Volume 10 Issue 2]
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