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Dynamical Complexity Analysis in a Model of Electroencephalogram

Dynamical Complexity Analysis in a Model of Electroencephalogram
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摘要 This paper studies a dynamical model of electroencephalogram(EEG).By linearizing the EEG model conditions for the stability of equilibrium point are obtained. Choosing excitatory inputs as bifurcation parameters, numerical simulations show that the EEG model exhibits a series of complex dynamics, including limit cycle,periodic doubling bifurcation, periodic halving bifurcation, chaotic bands with periodic windows. This paper studies a dynamical model of electroencephalogram(EEG).By linearizing the EEG model conditions for the stability of equilibrium point are obtained. Choosing excitatory inputs as bifurcation parameters, numerical simulations show that the EEG model exhibits a series of complex dynamics, including limit cycle,periodic doubling bifurcation, periodic halving bifurcation, chaotic bands with periodic windows.
出处 《Chinese Journal of Biomedical Engineering(English Edition)》 2017年第1期5-10,共6页 中国生物医学工程学报(英文版)
基金 Scientific Research Fund of Liaoning Provincial Education Department
关键词 EEG dynamical model STABILITY bifurcation diagram Lyapunov exponent CHAOS EEG dynamical model stability bifurcation diagram Lyapunov exponent chaos
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