文献类型：期刊文献

英文题名：Neurodynamics of up and down Transitions in Network Model

作者：Xu, Xuying[1];Wang, Rubin[2]

机构：[1]E China Univ Sci & Technol, Sch Sci, Inst Cognit Neurodynam, Shanghai 200237, Peoples R China;[2]E China Univ Sci & Technol, Sch Informat Sci & Engn, Sch Sci, Inst Cognit Neurodynam, Shanghai 200237, Peoples R China

年份：2013

外文期刊名：ABSTRACT AND APPLIED ANALYSIS

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000329695100001)】；

基金：This work was supported by the Key Project of National Natural Science Foundation of China (NSFC) (11232005) and was supported by the Fundamental Research Funds for the Central Universities of China.

语种：英文

摘要：This paper focuses on the neurodynamical research of a small neural network that consists of 25 neurons. We study the periodic spontaneous activity and transitions between up and down states without synaptic input. The results demonstrate that these transitions are bidirectional or unidirectional with the parameters changing, which not only reveals the function of the cortex, but also cohere with the experiment results.