Disjunctive models of Boolean category learning

DOI10.1007/BF00317987zbMath0611.92030OpenAlexW2039887399WikidataQ48230149 ScholiaQ48230149MaRDI QIDQ1087845

Dennis James Volper, Steven Hampson

Publication date: 1987

Published in: Biological Cybernetics (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf00317987

zbMATH Keywords

connectionistic/neural modelsdisjunctive models of Boolean category learninglearning arbitrary Boolean functions

Mathematics Subject Classification ID

Psychophysics and psychophysiology; perception (91E30) Mathematical psychology (91E99)

Related Items (2)

Informational properties of neural nets performing algorithmic and logical tasks ⋮ A parallel network that learns to play backgammon

Cites Work

• A hierarchical neural network model for associative memory
• A neural network model for the mechanism of feature-extraction. A self- organizing network with feedback inhibition
• A Boolean complete neural model of adaptive behavior
• Linear function neurons: Structure and training
• Connectionistic models of Boolean category representation
• Neocognition: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position
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