Synchronization of Electrically Coupled Chaotic Neuronal Networks
Synchronization of electrically coupled chaotic neuronal networks with various topologies is explored in this paper. A general synchronization condition of chaotic neuronal network is obtained by using Master Stability Function method first. Then the condition is applied in chain, ring, star and global coupling networks respectively, while numerical simulations are also performed to check the effectiveness of the condition. It is shown that Master Stability Function method is effective for determining synchronization condition of diffusively coupled neuronal networks and networks with various topologies have different synchronization abilities, which means the speed of information circulation varies a lot in different types of neuronal networks in human brain.
synchronization chaotic neuronal network Master Stability Function electrical synapse coupling strength
Fang Han Qi-shao Lu
College of Information Science and Technology Donghua University Shanghai, China Department of Dynamics and Control Beihang University Beijing, China
国际会议
海口
英文
7-11
2011-02-22（万方平台首次上网日期，不代表论文的发表时间）