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

Abstract

GOALS: Motivated partly by our previous work, we have attempted: (1) To determine whether there is a global mechanism that automatically adjusts the strengths of the many connections that take place between neurons. (2) To determine the source of variations in neuronal firing observed during behaviorally meaningful neural activity, whether the variations arise from determmistic processes or nondeterministic ones, and to identify the synaptic or membrane mechanisms that may give rise to them. Because biological systems are difficult to control, we have used computer simulations to examine these problems. The results indicate that the findings may be addressable in biological systems, particularly in cell cultures of two or three selectively connected neurons.

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Document Details

Document Type
Technical Report
Publication Date
Jun 06, 1995
Accession Number
ADA295594

Entities

People

  • George J. Mpitsos

Organizations

  • Oregon State University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Brain
  • Cells
  • Computational Science
  • Computer Simulations
  • Computers
  • Difference Equations
  • Differential Equations
  • Mathematical Filters
  • Membrane Potentials
  • Neural Networks
  • Neurons
  • Neurosciences
  • Nonlinear Dynamics
  • Rodents
  • Systems Biology
  • Three Dimensional
  • Two Dimensional

Fields of Study

  • Biology

Readers

  • Computational Modeling and Simulation
  • Neuroscience
  • Parallel and Distributed Computing.