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Macroscopic Lyapunov functions for separable stochastic neural networks with detailed balance.

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Publication:1593262
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DOI10.1007/BF02178364zbMath1081.82609MaRDI QIDQ1593262

A. C. C. Coolen, S. N. Laughton

Publication date: 16 January 2001

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


zbMATH Keywords

neural networksstochastic dynamicsLyapunov functions


Mathematics Subject Classification ID

Neural nets applied to problems in time-dependent statistical mechanics (82C32) Dynamics of disordered systems (random Ising systems, etc.) in time-dependent statistical mechanics (82C44)


Related Items (1)

A dynamical model of the adaptive immune system: effects of cells promiscuity, antigens and B–B interactions




Cites Work

  • Collective properties of neural networks: A statistical physics approach
  • A network of oscillators
  • Modeling Brain Function
  • On the overlap dynamics of multi-state neural networks with a finite number of patterns
  • Statistical mechanics of temporal association in neural networks with transmission delays
  • Neural networks and physical systems with emergent collective computational abilities.
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