Large deviations and mean-field theory for asymmetric random recurrent neural networks

DOI10.1007/s004400100182zbMath1004.60023OpenAlexW2016833839WikidataQ98839651 ScholiaQ98839651MaRDI QIDQ1849492

Olivier Moynot, Manuel Samuelides

Publication date: 1 December 2002

Published in: Probability Theory and Related Fields (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s004400100182

zbMATH Keywords

propagation of chaosasymmetric couplingmean-field equationsdiscrete time neural networkdistribution of the activation potential

Mathematics Subject Classification ID

Neural networks for/in biological studies, artificial life and related topics (92B20) Large deviations (60F10) Dynamics of disordered systems (random Ising systems, etc.) in time-dependent statistical mechanics (82C44)

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