| EEG模型的混沌动力学特性研究 |
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| 引用本文： | 李春胜,王宏,赵海滨.EEG模型的混沌动力学特性研究[J].系统仿真学报,2010(10). |
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| 作者姓名： | 李春胜 王宏 赵海滨 |
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| 作者单位： | 1. 东北大学中荷生物医学与信息工程学院,沈阳110004;
2. 东北大学机械工程与自动化学院,沈阳110004; |
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| 基金项目： | 国家自然科学基金(61071057); 中央高校基本科研业务费资助项目(N090613001) |
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| 摘 要： | EEG是大脑电生理过程的宏观表现,研究EEG模型的非线性动力学特征可以使大脑的活动规律得到进一步认识。EEG模型中,以兴奋性神经元集群的兴奋性输入作为参数,分析了模型的关联维数和最大Lyapunov指数的变化。数值仿真实验显示该EEG模型具有极限环,倍周期分岔,混沌等复杂的动力学行为,进一步说明混沌存在于EEG模型中。Abstract：EEG is the expression of brain electrophysiological activity in macroscopic scales,and the rule of brain activity can be recognized by analyzing nonlinear dynamics of EEG model.Regarding the excitatory inputs to excitatory populations as a parameter,correlation dimension and largest Lyapunov exponent were calculated.Numerical simulation shows complex dynamical behaviors,such as limit cycle,doubling-period bifurcation,chaos and so on,provide the evidence that chaos exists in EEG model.
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| 关 键 词： | EEG模型 混沌 分岔 李亚普诺夫指数 |
Research on Chaotic Dynamical Characters of EEG Model |
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| LI Chun-sheng,WANG Hong,ZHAO Hai-bin.Research on Chaotic Dynamical Characters of EEG Model[J].Journal of System Simulation,2010(10). |
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| Authors: | LI Chun-sheng WANG Hong ZHAO Hai-bin |
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| Institution: | LI Chun-sheng1,WANG Hong2,ZHAO Hai-bin2 (1.School of Sino-Dutch Biomedical and Information Engineering,Northeastern University,Shenyang 110004,China,2.School of Mechanical Engineering & Automation,China) |
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| Abstract: | EEG is the expression of brain electrophysiological activity in macroscopic scales,and the rule of brain activity can be recognized by analyzing nonlinear dynamics of EEG model.Regarding the excitatory inputs to excitatory populations as a parameter,correlation dimension and largest Lyapunov exponent were calculated.Numerical simulation shows complex dynamical behaviors,such as limit cycle,doubling-period bifurcation,chaos and so on,provide the evidence that chaos exists in EEG model. |
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| Keywords: | EEG model chaos bifurcation lyapunov exponent |
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