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EEG simulation by 2D interconnected chaotic oscillators

Author

Listed:
  • Kubany, Adam
  • Mhabary, Ziv
  • Gontar, Vladimir

Abstract

An artificial neuronal network composed by 2D interconnected chaotic oscillators is explored for brain waves (EEG) simulation. For the inverse problem solution a parallel real-coded genetic algorithm (PRCGA) is proposed. In order to conduct thorough comparison between the simulated and target signal characteristics, a spectrum analysis of the signals is undertaken. A good matching between the theoretical and experimental EEG signals has been achieved. Numerical results of calculations are presented and discussed.

Suggested Citation

  • Kubany, Adam & Mhabary, Ziv & Gontar, Vladimir, 2011. "EEG simulation by 2D interconnected chaotic oscillators," Chaos, Solitons & Fractals, Elsevier, vol. 44(1), pages 1-8.
    • Handle: RePEc:eee:chsofr:v:44:y:2011:i:1:p:1-8
    DOI: 10.1016/j.chaos.2010.10.001
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    References listed on IDEAS

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    1. V. Gontar, 2004. "The dynamics of living and thinking systems, biological networks, and the laws of physics," Discrete Dynamics in Nature and Society, Hindawi, vol. 2004, pages 1-11, January.
    2. Unknown, 1967. "Conferences," 1967 Conference, August 21-30, 1967, Sydney, New South Wales, Australia 209794, International Association of Agricultural Economists.
    3. V. Gontar, 1997. "Theoretical foundation for the discrete dynamics of physicochemical systems: Chaos, self-organization, time and space in complex systems," Discrete Dynamics in Nature and Society, Hindawi, vol. 1, pages 1-13, January.
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