文献类型：会议论文

英文题名：The synchronization process in the small-world neuronal networks

作者：Cheng, Shi-qi[1];Peng, Jian-hua[1]

机构：[1]East China Univ Sci & Technol, Dept Since Informat, Shanghai, Peoples R China

会议论文集：3rd International Conference on Computational Intelligence and Industrial Application (PACIIA2010)

会议日期：DEC 04-05, 2010

会议地点：Wuhan, PEOPLES R CHINA

语种：英文

外文关键词：small-world; neural networks; Fitzhugh-Nagumo neuron; synchronization

摘要：The brain has a very high efficiency in information processing, neurons are the information retaining and transmitting elements. It is regarded that the synchronizing activity of a group of neurons plays a crucial role in memory, calculation, moving control, and even some diseases as epilepsy. We use Fitzhugh-Nagumo neuronal model to simulate the synchronizing processes, and study their statistical characters in fully connected and small-world connected networks, and we also obtain the statistical characters of bursting. These results are gained under the conditions more approximating the real working environment of neural system, and more comparable to the results of physiological experiments. The results of our simulations show that in the synchronous firing process, the spike-time interval distribution belongs to the biased Poisson distribution, these results coincide with the results of physiological experiments.