西安电子科技大学学报（自然科学版）2016，Vol.43Issue(5)：173-177,5.DOI:10.3969/j.issn.1001-2400.2016.05.030
混沌神经网络与 CPG的作用机制
Interaction between the chaotic neural network and the CPG
摘要
Abstract
The cerebral cortex is a chaotic nonlinear system . The Central Pattern Generator(CPG) can generate a rhythmic movement . According to biological knowledge , the CPG is controlled by the central nervous . But the study of the mechanism for biological motion control is still an open question . In this paper , we establish the model for depicting the interaction between the chaotic neural network and CPG . Bifurcation analysis and phase are used to describe changes in system behavior and show the interaction mechanism . In addition , the influences of CPG parameters on the model are discussed . Many modes described at state equilibrium points in the cerebral cortex correspond to gait patterns , and the change of state equilibrium points in the cerebral cortex leads to the change of gait patterns . At the same time , the results show that the brain cortex patterns can be changed by adjusting the value of the brain cortex'external input and CPG's feedback to the cerebral cortex .关键词
中枢模式发生器/混沌神经网络/大脑皮层/分岔/仿真Key words
central pattern generator/chaotic neural network/cerebral cortex/bifurcation/simulation分类
自科综合引用本文复制引用
马振鹏,吴宗法..混沌神经网络与 CPG的作用机制[J].西安电子科技大学学报（自然科学版）,2016,43(5):173-177,5.基金项目
国家自然科学基金资助项目 （）
