文献类型：期刊文献

英文题名：Energy coding in neural network with inhibitory neurons

作者：Wang, Ziyin[1];Wang, Rubin[1];Fang, Ruiyan[1]

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

年份：2015

卷号：9

期号：2

起止页码：129

外文期刊名：COGNITIVE NEURODYNAMICS

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000350877900003)】；

基金：This work was supported by the National Natural Science Foundation of China (11232005, 11472104) and the Ministry of Education Doctoral Foundation (20120074110020).

语种：英文

外文关键词：Neural coding; Neural energy; Inhibitory neurons

摘要：This paper aimed at assessing and comparing the effects of the inhibitory neurons in the neural network on the neural energy distribution, and the network activities in the absence of the inhibitory neurons to understand the nature of neural energy distribution and neural energy coding. Stimulus, synchronous oscillation has significant difference between neural networks with and without inhibitory neurons, and this difference can be quantitatively evaluated by the characteristic energy distribution. In addition, the synchronous oscillation difference of the neural activity can be quantitatively described by change of the energy distribution if the network parameters are gradually adjusted. Compared with traditional method of correlation coefficient analysis, the quantitative indicators based on nervous energy distribution characteristics are more effective in reflecting the dynamic features of the neural network activities. Meanwhile, this neural coding method from a global perspective of neural activity effectively avoids the current defects of neural encoding and decoding theory and enormous difficulties encountered. Our studies have shown that neural energy coding is a new coding theory with high efficiency and great potential.