New paper available

[Fry, Robert L.]

     A paper entitled "Neuromechanics" has been placed
in the Neuroprose neural network paper storage site.  This
paper was an invited paper given at the 1996 International Conference
on Neural Information Processing, Hong Kong, in September.

Title: Neuromechanics

Abstract : Elements of classical, statistical, and even quantum
mechanics can be found in the described neural model through
analogous constructs of position, momentum, Gibbs distributions,
partition functions, and perhaps most importantly, observability.
Such analogies suggest that the subject model represents a
type of neural mechanics that is distinguished from other mechanical
formulations of physics in two important regards.  First, physical
constants are not constant, but rather represent Lagrange factors
that vary over time in response to learning.  Secondly, neural
systems attempt to optimize the very information-theoretic objective
 functions upon which their structure is founded.  This paper provides
an overview of an approach to neural modeling and understanding
and highlights correspondences between this model, mechanical
formulations of physics, and computational neurophysiology.

Retrieval:  Perform an anonymous logon to:  archive.cis.ohio-state.edu

The paper is located in the directory \pub\neuroprose with the file
name "fry.neurmech.ps.Z."  This paper is in encapulated postscript
in compressed format.  It can be uncompressed by using the UNIX
"uncompress" utility.  No hardcopies are available.

                    R. Fry

     Robert L. Fry
     Johns Hopkins Road
     Laurel, MD 20723-6099
     robert_fry at jhuapl.edu