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A theory of 1/f noise in human cognition

Author

Listed:
  • Grigolini, Paolo
  • Aquino, Gerardo
  • Bologna, Mauro
  • Luković, Mirko
  • West, Bruce J.

Abstract

The brain is probably the most interesting example of a complex network having 1/f variability as determined through the analysis of EEG time series and magnetoencephalogram recordings. Herein we develop a theory of 1/f noise of human cognition to explain the recent experimental observations that increasing the difficultly of cognitive tasks accelerates the transition from observed 1/f noise to white noise in decision-making time series.

Suggested Citation

  • Grigolini, Paolo & Aquino, Gerardo & Bologna, Mauro & Luković, Mirko & West, Bruce J., 2009. "A theory of 1/f noise in human cognition," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 388(19), pages 4192-4204.
    • Handle: RePEc:eee:phsmap:v:388:y:2009:i:19:p:4192-4204
    DOI: 10.1016/j.physa.2009.06.024
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    References listed on IDEAS

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    Cited by:

    1. Werner, Gerhard, 2013. "Consciousness viewed in the framework of brain phase space dynamics, criticality, and the Renormalization Group," Chaos, Solitons & Fractals, Elsevier, vol. 55(C), pages 3-12.
    2. Mahmoodi, Korosh & Kerick, Scott E. & Franaszczuk, Piotr J. & Grigolini, Paolo & West, Bruce J., 2025. "Complexity control in living matter," Chaos, Solitons & Fractals, Elsevier, vol. 199(P1).
    3. West, B.J. & Grigolini, P., 2010. "Habituation and 1/f-noise," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(24), pages 5706-5718.
    4. West, B.J. & Turalska, M., 2013. "Network of echoes," Chaos, Solitons & Fractals, Elsevier, vol. 55(C), pages 109-119.
    5. West, B.J. & Grigolini, P., 2010. "A psychophysical model of decision making," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 389(17), pages 3580-3587.
    6. Azarnoosh, Mahdi & Motie Nasrabadi, Ali & Mohammadi, Mohammad Reza & Firoozabadi, Mohammad, 2011. "Investigation of mental fatigue through EEG signal processing based on nonlinear analysis: Symbolic dynamics," Chaos, Solitons & Fractals, Elsevier, vol. 44(12), pages 1054-1062.
    7. Bershadskii, A. & Ikegaya, Y., 2011. "Chaotic neuron clock," Chaos, Solitons & Fractals, Elsevier, vol. 44(4), pages 342-347.

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