Nonlinear Delayed Feedback Control for Effective Desynchronization of Small-world Neural Networks
The topology of the neural network in brain cortex exhibits small-world characteristics.Excessive synchroni-zation of the brain neuron population is believed to play the crucial role in the emergence of the neuropsychological dis-orders such as Parkinsons disease and epilepsy,so it is significant to investigate how to eliminate these pathological rhythmic brain activities.A small-world network composed of map-based neurons is presented,which can get chaotic bursting synchronization when the coupling strength exceeds a certain threshold.When nonlinear delayed feedback signal is applied into the network,a complete desynchronization is achieved and neurons inherent bursting characteristic is res-tored.Desynchronization by this method is robust against parameter variations.
WEN Jinxin WANG Jiang YU Haitao DENG Bin WEI Xile
School of Electrical and Automation Engineering,Tianjin University,Tianjin 300072,P.R.China
国际会议
The 30th Chinese Control Conference(第三十届中国控制会议)
烟台
英文
1-5
2011-07-01（万方平台首次上网日期，不代表论文的发表时间）