Mean-field theory and synchronization in random recurrent neural networks

DOI10.1023/A:1012435207437zbMath0998.68129OpenAlexW1928439961MaRDI QIDQ5959789

Manuel Samuelides, Olivier Pinaud, Emmanuel Daucé, Olivier Moynot

Publication date: 11 April 2002

Published in: Neural Processing Letters (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1023/a:1012435207437

zbMATH Keywords

discrete time dynamicsrandom recurrent neural network

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05)

Related Items (4)

Spontaneous Slow Oscillations and Sequential Patterns Due to Short-Term Plasticity in a Model of the Cortex ⋮ Large deviations, dynamics and phase transitions in large stochastic and disordered neural networks ⋮ Asymptotic Behavior and Synchronizability Characteristics of a Class of Recurrent Neural Networks ⋮ Large deviations for randomly connected neural networks: I. Spatially extended systems

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