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Multistability and metastability: understanding dynamic coordination in the brain.

J A Scott Kelso1

  • 1Human Brain and Behavior Laboratory, Center for Complex Systems and Brain Sciences, Florida Atlantic University, Boca Raton, FL 33435, USA. kelso@ccs.fau.edu

Philosophical Transactions of the Royal Society of London. Series B, Biological Sciences
|February 29, 2012
PubMed
Summary
This summary is machine-generated.

Multistable coordination dynamics, observed across neural systems and behaviors, influences intentional change and skill learning. Understanding this metastability offers insights into complex goal-directed systems and brain-behavior relationships.

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Area of Science:

  • Neuroscience
  • Dynamical Systems Theory
  • Cognitive Science

Background:

  • Multistable coordination dynamics are prevalent in neural circuits across species.
  • This phenomenon impacts both action and perception, influencing intentional change and skill acquisition.

Purpose of the Study:

  • To review evidence for multistability in neural and behavioral domains.
  • To illustrate methods for measuring, modeling, and understanding multistability.
  • To propose a framework for understanding complex systems using multistability and coordination dynamics.

Main Methods:

  • Literature review of existing research on multistability.
  • Discussion of measurement and modeling techniques.
  • Theoretical synthesis of coordination dynamics concepts.

Main Results:

  • Evidence supports multistability in vertebrate and invertebrate neural circuits, as well as human large-scale neural networks.
  • Multistability constrains and directs intentional change and skill learning.
  • Coordination dynamics, including metastability, offer a platform for understanding complex system coupling.

Conclusions:

  • Multistability is a fundamental property of complex goal-directed systems, including the brain.
  • Integrating concepts like metastability with coordination dynamics elucidates brain-behavior relations.
  • This perspective advances our understanding of neural plasticity and cognitive processes.