Title :
Synchronization of fitzhugh-nagumo neural network in external electrical fields
Author :
Men Cong ; Wang Jiang ; Deng Bin ; Wei Xi-Le ; Che Yan-Qiu
Author_Institution :
Sch. of Electr. Eng. & Autom., Tianjin Univ., Tianjin, China
Abstract :
Synchronization is a crucial mechanism for information communication in neural network. However, how external electrical fields modulate synchronization is remain an open question. In this paper the stability of complete synchronization of coupled homogenous neural network in external electrical stimulation is investigated based on eigenvalue analysis. Furthermore, the effects of network heterogeneity and field frequency on synchronization of heterogenous neural networks are studied in detail. It´s shown that coupling strength and topological structure play a crucial role in modulating the synchronous states in neural system. Synchronization is sensitive to electrical field frequency. However, heterogeneity plays an adverse role in achieving synchronous states.
Keywords :
eigenvalues and eigenfunctions; neural nets; synchronisation; Fitzhugh-Nagumo neural network; coupling strength; eigenvalue analysis; electrical field frequency; external electrical stimulation; information communication; synchronization; topological structure; Artificial neural networks; Chaos; Couplings; Neurons; Stability criteria; Synchronization; Fitzhugh-Nagumo model; Heterogeneity; Synchronization; Topological structure;
Conference_Titel :
Control Conference (CCC), 2010 29th Chinese
Conference_Location :
Beijing
Print_ISBN :
978-1-4244-6263-6