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CAN WE MEASURE CONSCIOUSNESS WITH EEG COMPLEXITIES?

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Publication:4669166
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DOI10.1142/S0218127403006893zbMath1064.92502MaRDI QIDQ4669166

Xin Meng, Fan-Ji Gu, En-Hua Shen, Zhi-Jie Cai

Publication date: 15 April 2005

Published in: International Journal of Bifurcation and Chaos (Search for Journal in Brave)


zbMATH Keywords

complexitymutual informationconsciousness


Mathematics Subject Classification ID

Neural biology (92C20) Psychophysics and psychophysiology; perception (91E30)


Related Items (3)

A NEW TWO-DIMENSIONAL COMPLEXITY MEASURE ⋮ HIGHER ORDER COMPLEXITY OF TIME SERIES ⋮ CONVERGENCE OF C0 COMPLEXITY



Cites Work

  • Chaotic time series analyses of epileptic seizures
  • Nonlinear analysis of epileptic seizures. I: Correlation-dimension measurements for absence epilepsy and near-periodic signals
  • Deterministic chaos and the first positive Lyapunov exponent: A nonlinear analysis of the human electroencephalogram during sleep
  • Approximate entropy as a measure of system complexity.
  • On the Complexity of Finite Sequences
  • A recipe for randomness
  • Randomness and degrees of irregularity.
  • Application of a neural complexity measure to multichannel EEG




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