文献类型：期刊文献

英文题名：The Energy Coding of a Structural Neural Network Based on the Hodgkin-Huxley Model

作者：Zhu, Zhenyu[1];Wang, Rubin[1];Zhu, Fengyun[1]

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

年份：2018

卷号：12

外文期刊名：FRONTIERS IN NEUROSCIENCE

收录：;WOS:【SCI-EXPANDED(收录号:WOS:000426391400001)】；

基金：This work is supported by the National Natural Science Foundation of China (No. 11232005, 11472104).

语种：英文

外文关键词：neural energy coding; energy distribution; synchronous oscillation; negative energy; power consumption curve

摘要：Based on the Hodgkin-Huxley model, the present study established a fully connected structural neural network to simulate the neural activity and energy consumption of the network by neural energy coding theory. The numerical simulation result showed that the periodicity of the network energy distribution was positively correlated to the number of neurons and coupling strength, but negatively correlated to signal transmitting delay. Moreover, a relationship was established between the energy distribution feature and the synchronous oscillation of the neural network, which showed that when the proportion of negative energy in power consumption curve was high, the synchronous oscillation of the neural network was apparent. In addition, comparison with the simulation result of structural neural network based on the Wang-Zhang biophysical model of neurons showed that both models were essentially consistent.