Research on chaos phenomenon of EEG dynamics model
EEG动力学模型中混沌现象的研究

According to analyzing the phase graph, bifurcation graph, 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.