Synchronization of firing times in a stochastic neural network model with excitatory connections

We investigate a finite, stochastic, completely neural network model with excitatory couplings. The dynamics of the moments of firing in the net is described by a Markov chain. We derive exponential bounds for its transition probabilities. Moreover, the exponential fast synchronization of the moments of firing is proved. The results are illustrated by computer simulations.

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Year of publication:	1994
Authors:	Turova, Tatyana S. ; Mommaerts, Walter ; Meulen, Edward C. van der
Published in:	Stochastic Processes and their Applications. - Elsevier, ISSN 0304-4149. - Vol. 50.1994, 1, p. 173-186
Publisher:	Elsevier
Subject:	Ornstein-Uhlenbeck processMarkov chainsneural networksynchronizationexcitatory connections

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Type of publication:	Article
Source:	RePEc - Research Papers in Economics

Persistent link: https://www.econbiz.de/10008874432