文献类型：期刊文献

英文题名：Energy distribution property and energy coding of a structural neural network

作者：Wang, Ziyin[1];Wang, Rubin[1]

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

年份：2014

卷号：8

期号：FEB

外文期刊名：FRONTIERS IN COMPUTATIONAL NEUROSCIENCE

收录：;EI(收录号：20140917391090);WOS:【SCI-EXPANDED(收录号:WOS:000332510500001)】；

语种：英文

外文关键词：neural network; nervous energy; neural coding; parameter

摘要：Studying neural coding through neural energy is a novel view. In this paper, based on previously proposed single neuron model, the correlation between the energy consumption and the parameters of the cortex networks (amount of neurons, coupling strength, and transform delay) under an oscillational condition were researched. We found that energy distribution varies orderly as these parameters change, and it is closely related to the synchronous oscillation of the neural network. Besides, we compared this method with traditional method of relative coefficient, which shows energy method works equal to or better than the traditional one. It is novel that the synchronous activity and neural network parameters could be researched by assessing energy distribution and consumption. Therefore, the conclusion of this paper will refine the framework of neural coding theory and contribute to our understanding of the coding mechanism of the cerebral cortex. It provides a strong theoretical foundation of a novel neural coding theory energy coding.