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
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