A model of the neocortex
type: Item
instance of: scholarly article
title: A model of the neocortex
zbMATH Open document ID: 0662.68087
DOI: 10.1016/0196-8858(88)90024-3
author: Jan Mycielski
author: Stanislaw Świerczkowski
published in: Advances in Applied Mathematics
publication date: 1988-01-01T00:00:00Z
review text: We try to explain the function of the cerebral cortex by representing it as a large array of small computers, each of which applies a certain algorithm for learning to predict the inputs from the senses or other parts of the brain. This view ignores the role of the brain as a classifying device, but it puts forward its role as a learner of the laws of evolution of sequences of patterns. Memory is not seen here as a list of facts but as an operator predicting certain parameters of the future states of reality from its present and past states. The problem of connecting the classifying or listing capacity of the brain with the structures described here is still open.
Mathematics Subject Classification ID: 68T05
Mathematics Subject Classification ID: 92B05
zbMATH DE Number: 4083018
zbMATH Keywords: discrete time model of neocortex
zbMATH Keywords: learning systems
zbMATH Keywords: learning automata
zbMATH Keywords: game of life
MaRDI profile type: Publication
full work available at URL: 0196-8858(88)90024-3
OpenAlex ID: W2052579950
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description: scientific article; zbMATH DE number 4083018