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Equilibrium distributions of stochastic networks without detailed balance

We present results for the determination of the equilibrium microstate probability distribution of a class of strongly interacting systems obeying stochastic dynamics but without the necessity of detailed balance. The specific case of Ising systems is highlighted, with applications to non-symmetric synaptic neural networks and more general recurrent Boolean networks.
Year of publication:
1993
Authors: Coolen, A.C.C. ; Sherrington, D.
Published in:
Physica A: Statistical Mechanics and its Applications. - Elsevier, ISSN 0378-4371. - Vol. 200.1993, 1, p. 602-607
Publisher: Elsevier
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Type of publication: Article
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Persistent link: https://www.econbiz.de/10010586442
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