EEG动力学模型中混沌现象的研究

RESEARCH ON CHAOS PHENOMENON OF EEG DYNAMICS MODEL

通过对脑电图(electroencephalogram,EEG)动力学模型模拟出的EEG信号的相图、分岔图、功率谱、关联维数和Lyapunov指数的对比研究,得出如下结论:1)该模型是按周期行为与混沌现象交替出现的间歇突发通向混沌的,且该间歇性与Hopf分岔、倍周期分岔和逆分岔有关;2)支持了EEG中存在混沌运动的观点。

According to analyzing the phase graph, bifurcation grapn, power spectra,correlation dimension and Lyapunov exponent of EEG （electroencephalogram）, which were made by EEG dynamics model, the following conclusions are shown： （1） Chaotic pattern of the dynamics model takes on alternation between period and chaos, and relevant to double-periodic bifurcation, Hopf bifurcation, and reverse bifurcation; （2） The result support the view that chaos exist in EEG signals further.