Synchronization of Small-World Neuronal Networks with Synapse Plasticity
Synchronization of small-world neuronal network with synapse plasticity is explored in this paper. The variation properties of synapse weights are studied first, and then the effects of synapse learning coefficient, the coupling strength and the adding probability on synchronization of the neuronal network are studied respectively. It is shown that appropriate learning coefficient is helpful for improving synchronization, and complete synchronization can be obtained by increasing the coupling strength and the adding probability.
Neuronal network Small-world Synchronization Synapse plasticity
Fang Han Qishao Lu Xiangying Meng Jiaoyan Wang
School of Information Science and Technology, Donghua University, Shanghai 201620, China Department of Dynamics and Control, Beihang University, Beijing 100191, China
国际会议
The Second International Conference on Cognitive Neurodynamics--2009(第二届国际认知神经动力学会议)
杭州
英文
295-300
2009-11-15(万方平台首次上网日期,不代表论文的发表时间)