| 语言认知EEG非线性时间序列分析 |
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| 引用本文： | 孟丽艳,赵晓宇,姚力.语言认知EEG非线性时间序列分析[J].北京师范大学学报(自然科学版),2005,41(6):591-593. |
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| 作者姓名： | 孟丽艳 赵晓宇 姚力 |
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| 作者单位： | 北京师范大学信息科学与技术学院,100875,北京 |
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| 摘 要： | 利用非线性时间序列分析方法,以汉语语言认知为例,探讨语言认知系统的动力学特性.通过计算F3,F4,P3,P4,Fz,Cz,Oz这些电极记录的脑电图(EEG)时间序列的关联维和Lyapunov指数,表明大脑语言认知系统属于高维的混沌动力学系统,只需有限的几个变量就可描述和表征这种整体的、宏观的特性.
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| 关 键 词： | 非线性时间序列分析 语言认知 脑电图 关联维 Lyapunov指数 |
| 收稿时间： | 2005-05-25 |
| 修稿时间： | 2005年5月25日 |
A TIME SERIES ANALYSIS ON LANGUAGE COGNITION EEG |
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| Meng Liyan,Zhao Xiaoyu,Yao Li.A TIME SERIES ANALYSIS ON LANGUAGE COGNITION EEG[J].Journal of Beijing Normal University(Natural Science),2005,41(6):591-593. |
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| Authors: | Meng Liyan Zhao Xiaoyu Yao Li |
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| Institution: | School of Information Science and Technology, Beijing Normal University, 100875, Beijing, China |
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| Abstract: | By using the method of nonlinear time series analysis and taking the Chinese language cognition as an example, the dynamic characteristics of language cognition system are discussed. The results through the calculation of EEG time series correlation dimension and Lyapunov exponents F3, F4, P3, P4, Fx, Cx and Ox show that brain language cognition system belongs to high dimensional chaotic dynamic system and can be explained by limited variables for its holistic and macroscopical characteristics. |
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| Keywords: | nonlinear time series analysis language cognition EEG correlation dimension Lyapunov exponents |
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