Chaotic time series analysis of vision evoked EEG

Ningning Zhang; Hong Wang

doi:10.1117/12.858256

22 January 2010 Chaotic time series analysis of vision evoked EEG

Ningning Zhang, Hong Wang

Proceedings Volume 7500, ICMIT 2009: Mechatronics and Information Technology; 750011 (2010) https://doi.org/10.1117/12.858256
Event: ICMIT 2009: Mechatronics and Information Technology, 2009, Gwangju, Korea, Republic of

Abstract

To investigate the human brain activities for aesthetic processing, beautiful woman face picture and ugly buffoon face picture were applied. Twelve subjects were assigned the aesthetic processing task while the electroencephalogram (EEG) was recorded. Event-related brain potential (ERP) was required from the 32 scalp electrodes and the ugly buffoon picture produced larger amplitudes for the N1, P2, N2, and late slow wave components. Average ERP from the ugly buffoon picture were larger than that from the beautiful woman picture. The ERP signals shows that the ugly buffoon elite higher emotion waves than the beautiful woman face, because some expression is on the face of the buffoon. Then, chaos time series analysis was carried out to calculate the largest Lyapunov exponent using small data set method and the correlation dimension using G-P algorithm. The results show that the largest Lyapunov exponents of the ERP signals are greater than zero, which indicate that the ERP signals may be chaotic. The correlations dimensions coming from the beautiful woman picture are larger than that from the ugly buffoon picture. The comparison of the correlations dimensions shows that the beautiful face can excite the brain nerve cells. The research in the paper is a persuasive proof to the opinion that cerebrum's work is chaotic under some picture stimuli.

Citation Download Citation

Ningning Zhang and Hong Wang "Chaotic time series analysis of vision evoked EEG", Proc. SPIE 7500, ICMIT 2009: Mechatronics and Information Technology, 750011 (22 January 2010); https://doi.org/10.1117/12.858256

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