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Visualization Method for Proprioceptive Drift on a 2D Plane Using Support Vector Machine
Published on: October 27, 2016
Adaptation to a visuomotor shift depends on the starting posture
Pierre Baraduc1, Daniel M Wolpert
1Sobell Department of Neurophysiology, Institute of Neurology, University College London, United Kingdom. P.Baraduc@ion.ucl.ac.uk
Human adaptation to visuomotor shifts depends on arm trajectory in joint space, not just hand position. Learning is linked to initial posture, indicating joint-based adaptation rather than a desired final endpoint.
Area of Science:
- Neuroscience
- Motor Control
- Human Adaptation
Background:
- Previous research indicates humans can adapt to altered visuomotor relationships based on arm movement.
- Existing studies haven't differentiated between hand-based and joint-based motor learning models.
Purpose of the Study:
- To investigate if distinct endpoint kinematics are required for a differential visuomotor shift.
- To determine the underlying learning model (hand- vs. joint-based) in visuomotor adaptation.
Main Methods:
- Manipulated arm joint trajectories by altering initial postures while keeping finger trajectories consistent.
- Exposed subjects to a visuomotor shift under controlled initial postures.
- Measured after-effects based on the difference between initial and trained postures.
Main Results:
- Maximum after-effects were observed when movements commenced from the initial posture used during visuomotor shift exposure.
- After-effects diminished as the difference between initial and trained postures increased.
- The observed effects were independent of the final posture achieved after movement.
Conclusions:
- Visuomotor adaptation to visual remapping is dependent on the arm's trajectory within joint space.
- Learning is not solely based on recoding a desired final posture but involves joint-specific movement patterns.
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