title: Global almost sure self-synchronization of Hopfield neural networks with randomly switching connections.
abstract: In this paper, we discuss Hopfield neural networks with stochastic switching weights, investigating their global almost sure self-synchronization. Sufficient conditions ensuring global almost sure exponential synchronization of Hopfield neural networks with stochastic switching weights are given.
authors.affiliation: Lab. of Nonlinear Mathematics Science, Institute of Mathematics, Fudan University, Shanghai 200433, PR China.
authors.forename: Bo
authors.initials: B
authors.lastname: Liu
authors.forename: Wenlian
authors.initials: W
authors.lastname: Lu
authors.forename: Tianping
authors.initials: T
authors.lastname: Chen
mesh_terms: D001185:Artificial Intelligence; D002540:Cerebral Cortex / Q000502:physiology; D003198:Computer Simulation; D003344:Cortical Synchronization / Q000502:physiology; D009415:Nerve Net / Q000502:physiology; D016571:Neural Networks, Computer; D013269:Stochastic Processes