Neuron Selectivity: Single Neuron and Neuron Networks.

Abstract

A theory for neuron selectivity in visual cortes is presented and compared with neurophysiological data. In this theory, a neuron becomes maximally selective over the set of patterns presented to it. Theoretical predictions corespond well with results of various experimental paradigms including normal rearing, monocular and binocular deprivation, and reverse suture. Extensions of the theory to cortical networks based on anatomical data are discussed. The ideal synapse, which can alter its function between excitatory and inhibitory modes, must be resolved into excitatory and inhibitory synapses to agree with anatomical observation. A mathematical appendix provides stability analysis of the model's fixed point behavoir.

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Document Details

Document Type
Technical Report
Publication Date
Jul 08, 1982
Accession Number
ADA116886

Entities

People

  • C. Scofield
  • L. N. Cooper
  • P. Munro

Organizations

  • Brown University

Tags

Communities of Interest

  • C4I

DTIC Thesaurus Topics

  • Algorithms
  • Anatomy
  • Biological Sciences
  • Classification
  • Computer Simulations
  • Military Research
  • Neurosciences
  • New York
  • Observation
  • Physiological Effects
  • Plastic Properties
  • Regression Analysis
  • Rhode Island
  • Simulations
  • Statistical Analysis
  • United States
  • Visual Cortex

Fields of Study

  • Biology

Readers

  • Neuroscience
  • Operations Research
  • Vision Science/Vision Psychology/Cognitive Neuroscience.