%0 Journal Article
%T Research on chaos phenomenon of EEG dynamics model<br>EEG动力学模型中混沌现象的研究
%A WANG Xing-yuan
%A LUO Chao
%A TAN Gui-lin
%A <br>王兴元
%A 骆超
%A 谭贵霖
%J 生物物理学报
%D 2005
%I 
%X 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.
%K EEG dynamics model
%K Chaos
%K Bifurcation
%K Phase graph
%K Power spectra
%K Correlation dimension
%K Lyapunov exponent<br>EEG动力学模型
%K 混沌
%K 分岔
%K 相图
%K 功率谱
%K 关联维数
%K Lyapunov指数
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=90BA3D13E7F3BC869AC96FB3DA594E3FE34FBF7B8BC0E591&jid=E0C9D9BBED813D6674AC13E942EAC86D&aid=975D7603FCC03AF8&yid=2DD7160C83D0ACED&vid=659D3B06EBF534A7&iid=E158A972A605785F&sid=F416A9924F23B020&eid=EC34D52BE81085CE&journal_id=1000-6737&journal_name=生物物理学报&referenced_num=0&reference_num=43