混沌神经网络与CPG的作用机制

doi:10.3969/j.issn.1001-2400.2016.05.030

Abstract

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.

Key words: central pattern generator, chaotic neural network, cerebral cortex, bifurcation, simulation

MA Zhenpeng;WU Zongfa. Interaction between the chaotic neural network and the CPG[J].Journal of Xidian University, 2016, 43(5): 173-177.

References

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Interaction between the chaotic neural network and the CPG

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