Parallel Processing and Learning: Variability and Chaos in Self- Organization of Activity in Groups of Neurons

Abstract

I. Progress on the behavioral and the molecular biological goals: (1) We have finished, as originally proposed, the software and first actual physical system for computer-controlled training procedures with which to shape animal behavior and to perform learning-conditioning experiments. (2) We have constructed molecular biological vectors for generating muscarinic cholinergic receptor proteins pertaining specifically to all of the five known muscarinic receptors--this work follows on previous AFOSR-funded work relating to cholinergic enhancement of associative learning 14,15,11-13. II. Progress into the implications of attractors, perturbation analysis of neurons, and the use of language theory: (3) We have developed the conceptual rationale and conducted computer experiments to show that attractor gradients provide an integrative principle that globally acts on all synapses in a network of cooperative neurons. The consequences of this are extensive, and much naturally falls out naturally, e.g: synaptic strengths are optimally set with one another; the size of the Attractors, Dissipative action, learning, Muscarinic receptors, Symbolic dynamics, Finite-state automata, Neural networks, Neuron membrane perturbation analysis.

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Document Details

Document Type
Technical Report
Publication Date
May 27, 1994
Accession Number
ADA285668

Entities

People

  • George J. Mpitsos

Organizations

  • Oregon State University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Abstracts
  • Animal Behavior
  • Automata
  • Computer Simulations
  • Computers
  • Dynamics
  • Formal Languages
  • Language
  • Learning
  • Membranes
  • Neural Networks
  • Parallel Computing
  • Parallel Processing
  • Perturbations
  • Physics
  • Self Organizing Systems
  • Statistical Mechanics

Fields of Study

  • Biology

Readers

  • Mathematical Modeling and Probability Theory.
  • Technical Research and Report Writing.
  • Wave Propagation and Nonlinear Chaotic Dynamics.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks