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Feedback control systems01:26

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Feedback control systems are categorized in various ways based on their design, analysis, and signal types.
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Related Experiment Video

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Force and Position Control in Humans - The Role of Augmented Feedback
06:31

Force and Position Control in Humans - The Role of Augmented Feedback

Published on: June 19, 2016

Structural learning in feedforward and feedback control.

Nada Yousif1, Jörn Diedrichsen

  • 1Division of Brain Sciences, Imperial College London, London, United Kingdom. n.yousif@imperial.ac.uk

Journal of Neurophysiology
|August 17, 2012
PubMed
Summary
This summary is machine-generated.

The brain modifies motor control strategies based on prior experience with force fields. Both rapid corrections and long-term adaptation to movement perturbations can be structurally altered and are partly separable.

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Area of Science:

  • Neuroscience
  • Motor Control
  • Robotics

Background:

  • Effective motor control relies on rapid online corrections and adaptive adjustments to movement.
  • These processes are guided by prior assumptions about expected perturbations, often based on noisy sensory data.

Purpose of the Study:

  • To investigate if prior assumptions guiding motor corrections and adaptation are innate or modifiable.
  • To determine if modifications to feedback corrections and feedforward adaptation are driven by a common or distinct neural mechanisms.

Main Methods:

  • Participants performed movements in variously shaped force fields to assess modifications in feedback and feedforward responses.
  • Force fields were manipulated for temporal consistency to differentiate between sustained and transient adaptation effects.

Main Results:

  • Both feedback corrections and feedforward adaptation changed to counteract previously experienced force field types.
  • Consistent force fields altered both feedback and feedforward responses, while inconsistent fields selectively modified feedback corrections.

Conclusions:

  • Motor responses to force perturbations are structurally modifiable through experience.
  • Feedback and feedforward control mechanisms for adaptation and correction appear to be at least partially dissociable.