Dynamical Complexity Analysis in a Model of Electroencephalogram
LI Chun-sheng1, ZHANG Xue2
1. School of Electrical Engineering, Shenyang University of Technology, Shenyang 110870, China;
2. School of Science, Northeastern University, Shenyang 110004, China
Abstract：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.
. [J]. 中国生物医学工程学报(英文版）, 2017, 26(1): 5-10.
LI Chun-sheng, ZHANG Xue. Dynamical Complexity Analysis in a Model of Electroencephalogram. Chinese Journal of Biomedical Engineering, 2017, 26(1): 5-10.
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