Are spin-glass effects relevant to understanding realistic auto-associative networks?

DOI10.1088/0305-4470/24/11/029zbMath0761.92007OpenAlexW2073448842MaRDI QIDQ3986030

Alessandro Treves

Publication date: 27 June 1992

Published in: Journal of Physics A: Mathematical and General (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1088/0305-4470/24/11/029

zbMATH Keywords

attractor dynamicsauto-associative memoriescovariance learningspin-glass effectsthreshold-linear fully connected neural networksthreshold-linear responsethreshold-linear Sherrington-Kirkpatrick model

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Neural networks for/in biological studies, artificial life and related topics (92B20) Neural nets applied to problems in time-dependent statistical mechanics (82C32)

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