On a model of associative memory with huge storage capacity

DOI10.1007/s10955-017-1806-yzbMath1382.82037arXiv1702.01929OpenAlexW3102889924MaRDI QIDQ2410291

Franck Vermet, Sven Upgang, Judith Heusel, Mete Demircigil, Matthias Loewe

Publication date: 17 October 2017

Published in: Journal of Statistical Physics (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1702.01929

zbMATH Keywords

neural networksassociative memoryHopfield modelexponential interaction

Mathematics Subject Classification ID

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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Cites Work

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• The storage capacity of the Hopfield model and moderate deviations
• The capacity of the Hopfield associative memory
• Sharp upper bounds on perfect retrieval in the Hopfield model
• Neural networks and physical systems with emergent collective computational abilities.

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