Open Access
EPJ Nonlinear Biomed Phys
Volume 3, Number 1, December 2015
Article Number 1
Number of page(s) 9
Published online 12 March 2015
  1. Volke H-J, Dettmar P, Richter P, Rudolf M. Evoked coherences of eeg in chess playing. Int J Psychophysiol. 1998; 30(1-2):225–6. [Google Scholar]
  2. Volke H-J, Dettmar P, Richter P, Rudolf M, Buhss U. On-coupling and off-coupling of neocortical areas in chess experts and novices as revealed by evoked eeg coherence measures and factor-based topological analysis–a pilot study. J Psychophysiol. 2002; 16(1):23. [Google Scholar]
  3. Wright MJ, Gobet F, Chassy P, Ramchandani PN. Erp to chess stimuli reveal expert-novice differences in the amplitudes of n2 and p3 components. Psychophysiology. 2013; 50(10):1023–33. [Google Scholar]
  4. Wan X, Nakatani H, Ueno K, Asamizuya T, Cheng K, Tanaka K. The neural basis of intuitive best next-move generation in board game experts. Science. 2011; 331(6015):341–6. [Google Scholar]
  5. Hänggi J, Brütsch K, Siegel AM, Jäncke L. The architecture of the chess player’s brain. Neuropsychologia. 2014; 62(0):152–62. [Google Scholar]
  6. Suvorov NB, Bozhokin SV, Polonski YuZ. Electrophysiological correlates of human intellectual activity during a chess-game with the computer program blindly. Wavelet analysis. Inf Control Syst. 2012; 3:71–76. [Google Scholar]
  7. Higuchi T. Approach to an irregular time series on the basis of the fractal theory. Physica D: Nonlinear Phenom. 1988; 31(2):277–83. [Google Scholar]
  8. Klonowski W. From conformons to human brains: an informal overview of nonlinear dynamics and its applications in biomedicine. Nonlinear Biomed Phys. 2007; 1(1):5. [Google Scholar]
  9. Huang NE, Shen Z, Long SR, Wu MC, Shih HH, Zheng Q, et al.The empirical mode decomposition and the Hilbert spectrum for nonlinear and non-stationary time series analysis. Proc R Soc London. Ser A: Math Phys Eng Sci. 1998; 454(1971):903–95. [Google Scholar]
  10. Stepien P. Sliding window empirical mode decomposition - its performance and quality. EPJ Nonlinear Biomed Phys. 2014; 2(1):14. [Google Scholar]

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