Pattern recognition in the neocognitron is improved by neuronal adaptation

DOI10.1007/BF00202565zbMath0800.92033OpenAlexW2064052517WikidataQ48375852 ScholiaQ48375852MaRDI QIDQ1310580

Bernard Nienhuis, Arjen van Ooyen

Publication date: 6 January 1994

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

Full work available at URL: https://doi.org/10.1007/bf00202565

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Pattern recognition, speech recognition (68T10)

Cites Work

• Self-organization and associative memory
• A neural network model for the mechanism of feature-extraction. A self- organizing network with feedback inhibition
• Neocognition: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position

This page was built for publication: Pattern recognition in the neocognitron is improved by neuronal adaptation