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Related Experiment Videos

Timing, clocks, and dynamical systems.

Gregor Schöner1

  • 1Centre de Recherche en Neurosciences Cognitives, C.N.R.S., Marseille, France. gregor@Inf.cnrs-mrs.fr

Brain and Cognition
|January 29, 2002
PubMed
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This review contrasts stochastic and dynamic motor timing models, proposing dynamical systems theory as a unified framework. Understanding movement timing requires integrating spatial processing and motor control for future research.

Area of Science:

  • Motor control and neuroscience
  • Dynamical systems theory

Background:

  • Current understanding of motor timing involves contrasting stochastic and dynamic models.
  • Existing models have strengths in absolute (stochastic) and relative (dynamic) timing but lack unification.

Purpose of the Study:

  • To review theoretical and experimental issues in motor timing.
  • To propose dynamical systems theory as a unified framework for motor timing.
  • To explore the interrelation between motor timing, spatial processing, and movement control.

Main Methods:

  • Theoretical review and synthesis of existing research.
  • Contrast of stochastic and dynamic timing models.
  • Application of dynamical systems theory, specifically limit cycle attractors.

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Main Results:

  • Dynamical systems theory offers a unified framework for motor timing.
  • Stochastic models excel in absolute timing, dynamic models in relative timing; unification is progressing.
  • Motor timing accounts must integrate spatial representation and movement control.

Conclusions:

  • Dynamical systems provide a powerful lens for understanding motor timing.
  • The unification of absolute and relative timing domains is an ongoing challenge.
  • Future work should focus on the timing structure of discrete movements and its relation to other processing levels.