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

STOCHASTIC PROCESSES AND THEIR APPLICATIONS

卷:50

Article

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

DOI  :  10.1016/0304-4149(94)90155-4

来源: Elsevier

【 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.

【 授权许可】

Free