文献类型：期刊文献

英文题名：Synchronous transitions of up and down states in a network model based on stimulations

作者：Xu, Xuying[1];Ni, Li[1];Wang, Rubin[1]

机构：[1]East China Univ Sci & Technol, Inst Cognit Neurodynam, 130 Meilong Rd, Shanghai, Peoples R China

年份：2017

卷号：412

起止页码：130

外文期刊名：JOURNAL OF THEORETICAL BIOLOGY

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000391081500015)】；

基金：This work is supported by the National Natural Science Foundation of China (No. 11232005).

语种：英文

外文关键词：Up and down states; Synchronicity; Stimulation frequency; Resonance

摘要：The phenomenon of spontaneous periodic up and down transitions is considered to be a significant characteristic of slow oscillations. Our previous theoretical studies have shown that the single neuron and network model can both exhibit spontaneous up and down transitions. Another characteristic of up and down dynamics is the synchronicity. So in this paper, we focused on the synchronized characteristic of up and down transitions in the network based on stimulations. Spontaneous activities showed no synchronous transitions between neurons. However, the external stimulation, mainly the stimulation frequency and the number of neurons stimulated on were related to the synchronous transitions of up and down states. The simulation results suggested that simultaneous high frequency excitation or firing of neurons in the network was responsible for the generation of synchronous transitions of up and down states. Through the observation and analysis of the findings, we have tried to explain the reason for synchronous up and down transitions and to lay the foundation for further work on the role of these synchronized transitions in cortex activity.