Vector coding and neuronal maps

Vector coding and neuronal maps

A model of vector coding is proposed. An excitation vector is generated in an ensemble of neurons, which has simultaneous actions on the map of selective detectors (selectors), creating a local excitation maximum which represents the input stimulus. Vector coding is also proposed as an explanation f...

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Bibliographic Details
Published in:Neuroscience and behavioral physiology Vol. 27; no. 2; pp. 105 - 110
Main Author: Sokolov, E N
Format: Journal Article
Language:English
Published: United States Springer Nature B.V 01-03-1997
Subjects:
Animals
Associative learning
Conditioning, Classical - physiology
Conditioning, Operant - physiology
Humans
Models, Neurological
Neural coding
Neural Networks, Computer
Neuronal Plasticity
Neurons
Neurons - physiology
Synapses - physiology
Online Access:Get full text
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Summary:A model of vector coding is proposed. An excitation vector is generated in an ensemble of neurons, which has simultaneous actions on the map of selective detectors (selectors), creating a local excitation maximum which represents the input stimulus. Vector coding is also proposed as an explanation for associative learning and memory. Responses to the input in this model are determined by the excitation vectors triggered by command neurons in ensembles of premotor neurons.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
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ISSN:0097-0549
1573-899X
DOI:10.1007/BF02461939