• DocumentCode
    1082207
  • Title

    Contextual Categorization by Lateral Inhibition

  • Author

    Waxman, S.G.

  • Author_Institution
    Dept. of Anatomy and Medical Science Program Albert Einstein College of Medicine Bronx, N.Y. 10461
  • Volume
    4
  • Issue
    2
  • fYear
    1968
  • fDate
    7/1/1968 12:00:00 AM
  • Firstpage
    191
  • Lastpage
    192
  • Abstract
    A mechanism is proposed whereby categorization of stimuli is performed on the basis of the context in which such stimuli occur. This mechanism depends on lateral inhibition, which has been experimentally shown to operate in a number of biological receptor systems. It is assumed that n areas in the brain correspond to n classes into which a stimulus might be classified, the category chosen corresponding to the area of maximal excitation. Establishment of mutually inhibitory connections between these areas, such that inhibition follows the equation for lateral inhibition and such that areas corresponding to "like" classes inhibit each other less than areas corresponding to "unlike" classes, leads to contextual categorization.
  • Keywords
    Computational modeling; Computer simulation; Context modeling; Distributed computing; Equations; Gaussian distribution; Mathematics; Random sequences; Random variables; Stochastic systems;
  • fLanguage
    English
  • Journal_Title
    Systems Science and Cybernetics, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0536-1567
  • Type

    jour

  • DOI
    10.1109/TSSC.1968.300149
  • Filename
    4082141