Organization of receptive fields in networks with Hebbian learning: The connection between synaptic and phenomenological models

DOI10.1007/BF00206710zbMath0846.92002DBLPjournals/bc/ShouvalC96WikidataQ52201601 ScholiaQ52201601MaRDI QIDQ1914990

Harel Z. Shouval, Leon N. Cooper

Publication date: 30 September 1996

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

zbMATH Keywords

singularitiessymmetriescortexnetwork effectsinteracting neuronsreceptive fieldsHebbian-type learningself-organizing network modelsingle cell effects

Mathematics Subject Classification ID

Neural biology (92C20) Neural networks for/in biological studies, artificial life and related topics (92B20)

Cites Work

• Unnamed Item
• Unnamed Item
• A simplified neuron model as a principal component analyzer
• Pattern formation in associative neural networks with weak lateral interaction
• Analysis of Linsker's application of Hebbian rules to linear networks
• Stable Rotating Waves in Two-Dimensional Discrete Active Media

This page was built for publication: Organization of receptive fields in networks with Hebbian learning: The connection between synaptic and phenomenological models