中国物理B ›› 2008, Vol. 17 ›› Issue (6): 2297-2303.doi: 10.1088/1674-1056/17/6/061
• 8000 CROSSDISCIPLINARY PHYSICS AND RELATED AREAS OF SCIENCE AND TECHNOLOGY • 上一篇 下一篇
展永, 张素花, 赵同军, 安海龙, 张振东, 韩英荣, 柳辉, 张玉红
Zhan Yong(展永), Zhang Su-Hua(张素花)†, Zhao Tong-Jun(赵同军), An Hai-Long(安海龙), Zhang Zhen-Dong(张振东), Han Ying-Rong(韩英荣), Liu Hui(柳辉), and Zhang Yu-Hong(张玉红)
摘要: It is well known that the strong coupling can synchronize a network of nonlinear oscillators. Synchronization provides the basis of the remarkable computational performance of the brain. In this paper the FitzHugh--Nagumo neuron network is constructed. The dependence of the synchronization on the coupling strength, the noise intensity and the size of the neuron network has been discussed. The results indicate that the coupling among neurons works to improve the synchronization, and noise increases the neuron random dynamics and the local fluctuations; the larger the size of network, the worse the synchronization. The dependence of the synchronization on the strength of the electric synapse coupling and chemical synapse coupling has also been discussed, which proves that electric synapse coupling can enhance the synchronization of the neuron network largely.
中图分类号: (Neural networks and synaptic communication)