文献类型：期刊文献

中文题名：Exploring human rhythmic gait movement in the role of cerebral cortex signal

英文题名：Exploring human rhythmic gait movement in the role of cerebral cortex signal

作者：Dong, Wei[1];Wang, Ru-bin[1];Zhang, Zhi-kang[1]

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

年份：2011

卷号：32

期号：2

起止页码：223

中文期刊名：Applied Mathematics and Mechanics(English Edition)

外文期刊名：APPLIED MATHEMATICS AND MECHANICS-ENGLISH EDITION

收录：CSTPCD;;EI(收录号：20110613653042);Scopus;WOS:【SCI-EXPANDED(收录号:WOS:000286938700009)】；北大核心:【北大核心2008】；CSCD:【CSCD2011_2012】；

基金：Project supported by the National Natural Science Foundation of China (Nos. 10872068 and 10672057) and the Fundamental Research Fund for the Central Universities

语种：英文

中文关键词：central pattern generator （CPG）;gait movement;rhythmic movement,cerebral cortex signal;conversion function

外文关键词：central pattern generator (CPG); gait movement; rhythmic movement; cerebral cortex signal; conversion function

摘要：The rhythmic movement is a spontaneous behavior due to the central pattern generator （CPG）. At present, the CPG model only shows the spontaneous behavior, but does not refer to the instruction regulation role of the cerebral cortex. In this paper, a modified model based on the Matsuoka neural oscillator theory is presented to better show the regulation role of the cerebral cortex signal to the CPG neuronal network. The complex interaction between the input signal and other parameters in the CPG network is established, making all parameters of the CPG vary with the input signal. In this way, the effect of the input signal to the CPG network is enhanced so that the CPG network can express the self-regulation movement state instead of being limited to the spontaneous behavior, and thus the regulation role of the cerebral cortex signal can be reflected. Numerical simulation shows that the modified model can generate various movement forms with different modes, frequencies, and interchanges between them. It is revealed in theories that the cerebral cortex signal can regulate the mode and frequency of the gait in the ~ourse of the gait movement.
The rhythmic movement is a spontaneous behavior due to the central pattern generator (CPG). At present, the CPG model only shows the spontaneous behavior, but does not refer to the instruction regulation role of the cerebral cortex. In this paper, a modified model based on the Matsuoka neural oscillator theory is presented to better show the regulation role of the cerebral cortex signal to the CPG neuronal network. The complex interaction between the input signal and other parameters in the CPG network is established, making all parameters of the CPG vary with the input signal. In this way, the effect of the input signal to the CPG network is enhanced so that the CPG network can express the self-regulation movement state instead of being limited to the spontaneous behavior, and thus the regulation role of the cerebral cortex signal can be reflected. Numerical simulation shows that the modified model can generate various movement forms with different modes, frequencies, and interchanges between them. It is revealed in theories that the cerebral cortex signal can regulate the mode and frequency of the gait in the course of the gait movement.