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Force and Position Control in Humans - The Role of Augmented Feedback
Published on: June 19, 2016
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Rapid visuomotor feedback gains are tuned to the task dynamics.
Sae Franklin1,2, Daniel M Wolpert1, David W Franklin3,4
1Computational and Biological Learning Laboratory, Department of Engineering, University of Cambridge, Cambridge, United Kingdom.
Journal of Neurophysiology
|August 25, 2017
Summary
The sensorimotor system adjusts rapid visuomotor feedback gains to match new environmental dynamics. These feedback gains are tuned to specific task demands, not just overall load, demonstrating adaptive control.
Area of Science:
- Neuroscience
- Motor Control
- Robotics
Background:
- Motor adaptation to new dynamics involves learning predictive motor commands.
- Rapid visuomotor feedback gains increase early in adaptation and decrease as motor memory forms.
- These feedback gains remain elevated post-learning and differ between curl and constant force fields.
Purpose of the Study:
- To test if sensorimotor adaptation involves selectively tuning feedback sensitivity to environmental dynamics.
- To investigate how feedback gains adapt to varying levels of resistance and instability.
Main Methods:
- Subjects adapted to novel dynamics using a robotic manipulandum.
- Rapid visuomotor feedback gains were measured by observing motor responses to visual hand position shifts during reaching.
- Feedback gain magnitudes were analyzed across different constant loads, lateral resistances, and instabilities.
Main Results:
- Feedback gains remained constant despite a fourfold increase in constant background load.
- Feedback gains scaled with increasing lateral resistance and task instability.
- Feedback gains were independently tuned to left and right perturbations based on lateral resistance, showing fractionation.
Conclusions:
- The sensorimotor system actively regulates feedback gain during adaptation to novel dynamics.
- Feedback gains are selectively tuned to environmental characteristics, such as resistance and stability, rather than general load.
- This tuning demonstrates a sophisticated, fractionated control strategy for sensorimotor adaptation.
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