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Information flow dynamics in the brain.

Mikhail I Rabinovich1, Valentin S Afraimovich, Christian Bick

  • 1BioCircuits Institute, University of California San Diego, 9500 Gilman Dr 0328, La Jolla, CA 92093-0328, United States. mrabinovich@ucsd.edu

Physics of Life Reviews
|November 29, 2011
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Summary
This summary is machine-generated.

This review explores brain information dynamics, focusing on temporal evolution for cognitive functions. Understanding information flow stability is key to cognitive health and disorders.

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Area of Science:

  • Neuroscience
  • Cognitive Science
  • Information Theory

Background:

  • The temporal dynamics of brain information are crucial for understanding cognition in health and disease.
  • Classical information theory is algebraic, while brain information dynamics considers flow stability, timing, and control.

Purpose of the Study:

  • To review brain information dynamics concerning working memory, language, and goal-dependent behaviors.
  • To explore the relationship between information flow instabilities and cognitive disorders.
  • To highlight the role of information flow stability in cognitive robustness.

Main Methods:

  • Discusses experimental and theoretical approaches to brain information dynamics.
  • Analyzes information flow stability and its impact on cognitive functions.
  • Utilizes dynamical models and phase space representations.

Main Results:

  • Information flow instabilities in the brain correlate with specific cognitive disorders.
  • Robust cognitive activity is linked to the control of information flow stability.
  • Theoretical models aid in understanding experimental findings in brain information dynamics.

Conclusions:

  • Brain activity is better understood through information flows within dynamical models.
  • New theoretical formalisms inspired by recent findings can be experimentally tested.
  • Information dynamics offers a framework for analyzing cognitive mechanisms and disorders.