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Mixed control for perception and action: timing and error correction in rhythmic ball-bouncing.

I A Siegler1, C Bazile, W H Warren

  • 1UR CIAMS (EA 4532), Univ Paris-Sud, 91405 Orsay Cedex, France. isabelle.siegler@u-psud.fr

Experimental Brain Research
|March 22, 2013
PubMed
Summary
This summary is machine-generated.

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Participants actively stabilize rhythmic movements like ball bouncing by combining passive stability with active control. Visual information from the ball

Area of Science:

  • Motor Control
  • Behavioral Dynamics
  • Perception-Action Coupling

Background:

  • Rhythmic movements, such as bouncing a ball, are complex actions influenced by both inherent system dynamics and external perturbations.
  • Understanding how perceptual information is integrated to maintain stable rhythmic behavior is crucial for explaining motor control strategies.

Purpose of the Study:

  • To investigate the interplay between passive stability and active stabilization in rhythmic movement control.
  • To identify the specific informational quantities used for regulating action components like timing and error correction.

Main Methods:

  • Utilized a virtual reality ball-bouncing task to simulate perturbations in gravity and ball launch velocity.
  • Conducted two experiments manipulating ball trajectory parameters (upward half-period and peak height) to isolate control mechanisms.

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Last Updated: May 13, 2026

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Published on: September 21, 2017

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  • Analyzed participant behavior to understand how visual feedback informs active stabilization strategies.

    • Main Results:

    • Participants employed a mixed control mode, using real-time trajectory information for cycle-by-cycle stabilization.
    • Racket oscillation period was modulated by the ball's upward flight half-period, indicating timing regulation.
    • Error correction in bounce height was achieved by adjusting racket velocity based on trajectory deviations.

    Conclusions:

    • Rhythmic movement stability is achieved through a combination of passive system properties and active, visually guided control.
    • The motor system dynamically adapts by integrating perceptual information to regulate both timing and error correction in actions.