摘要
脑电图(electroencephalogram,EEG)中随机共振现象的研究对于分析大脑系统的行为具有重要理论意义和应用价值。为了模拟大脑系统中检测信号的机制,提出使用信噪比、互相关系数、互信息率对比评价方法,对EEG动力学模型中随机共振现象进行了研究。实验结果表明,EEG动力学模型不但存在着周期随机共振现象,同时也存在着非周期随机共振现象。此研究为大脑系统中存在着随机共振现象的观点提供了一种新的证据。
As to cerebrum behaviour studies, the research on stochastic resonance phenomenon in electroencephalogram （EEG） has shown its important role, both on theory or in practice. By utilizing contrast means of signal-to-noise ratio, cross-correlation coefficient and mutual information rate, in order to simulate ability of cerebrum system in signal detection, stochastic resonance in EEG dynamics model was studied. Results indicate that, in EEG dynamics model, there exists not only periodic stochastic resonance phenomenon, but also aperiodic stochastic resonance phenomenon, Thus, this study gives a new evidence about the view that stochastic resonance phenomenon exists in cerebrum system.
出处
《系统仿真学报》
CAS
CSCD
北大核心
2008年第16期4299-4301,共3页
Journal of System Simulation
基金
浙江省自然科学基金资助项目(602127)
关键词
随机共振
EEG动力学模型
信噪比
互相关系数
互信息率
stochastic resonance
EEG dynamics model
signal-to-noise ratio
cross-correlation coefficient
mutual information rate
