Development and Organization of Neural Networks.

Abstract

Previously, the author had proposed a single cell theory for the development of selectivity and ocular dominance in a neural network. During the contract period, this theory has been generalized to incorporate more realistic neural networks that approximate the actual anatomy of small regions of cortex. In particular, he has analyzed a network consisting of excitatory and inhibitory cells, both which may receive information from LGN. These two cortical cell types then interact through intracortical connections that are either excitatory or inhibitory. This investigation of the evolution of a cell in this mean field network of fixed points that have been obtained previously in the single cell theory are successfully generalized here. In addition, the author has been able to make explicit further statements concerning the independent effects of excitatory and inhibitory neurons on selectivity and ocular dominance. For example, shutting off inhibitory cells lessens selectivity and alters ocular dominance (masked synapses). These inhibitory cells may be selective, but there is no theoretical necessity that they be so.

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Document Details

Document Type
Technical Report
Publication Date
Jan 01, 1988
Accession Number
ADA193625

Entities

People

  • Leon Cooper

Organizations

  • Brown University

Tags

Communities of Interest

  • Energy and Power Technologies

DTIC Thesaurus Topics

  • Acquired Immune Deficiency Syndrome
  • Applied Mathematics
  • Brain
  • Cognition
  • Computer Simulations
  • Computers
  • Contracts
  • Equations
  • Immune System
  • Learning
  • Mean Field Theory
  • Neural Networks
  • Personal Information Managers
  • Physics
  • Scientists
  • Simulations
  • Standards

Fields of Study

  • Biology

Readers

  • Neuroscience
  • Theoretical Analysis.
  • Vision Science/Vision Psychology/Cognitive Neuroscience.

Technology Areas

  • AI & ML
  • AI & ML - Neural Networks