SYNCHRONIZATION OF FIRING TIMES IN A STOCHASTIC NEURAL-NETWORK MODEL WITH EXCITATORY CONNECTIONS

[摘要] We investigate a finite, stochastic, completely connected 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.

[发布日期] 1994-03-01

[关键词] ORNSTEIN-UHLENBECK PROCESS;MARKOV CHAINS;NEURAL NETWORK;SYNCHRONIZATION;EXCITATORY CONNECTIONS