Context-dependent associations in linear distributed memories
type: Item
instance of: scholarly article
title: Context-dependent associations in linear distributed memories
zbMATH Open document ID: 0662.92009
DOI: 10.1007/BF02458441
author: Eduardo Mizraji
published in: Bulletin of Mathematical Biology
publication date: 1989-01-01T00:00:00Z
review text: We present a method that allows conditioning of the response of a linear distributed memory to a variable context. This method requires a system of two neural networks. The first net constructs the Kronecker product between the vector input and the vector context, and the second net supports a linear associative memory. This system is easily adaptable for different goals. We analyse here its capacity to perform quasi-logical operations (for instance, of the kind of ``exclusive-or''), and its capacity to structurate a memory for temporal sequences which access is conditioned by the context. Finally, we evaluate the potential importance of the capacity to establish arbitrary contexts, for the evolution of biological cognitive systems.
Mathematics Subject Classification ID: 92Cxx
zbMATH DE Number: 4083429
zbMATH Keywords: linear distributed memory
zbMATH Keywords: variable context
zbMATH Keywords: neural networks
zbMATH Keywords: Kronecker product
zbMATH Keywords: vector input
zbMATH Keywords: vector context
zbMATH Keywords: linear associative memory
zbMATH Keywords: quasi- logical operations
zbMATH Keywords: evolution of biological cognitive systems
Wikidata QID: Q44375743
MaRDI profile type: Publication
cites work: A simple neural network generating an interactive memory
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cites work: Learning representations by back-propagating errors
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description: scientific article; zbMATH DE number 4083429