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Understanding implicit sensorimotor adaptation as a process of proprioceptive re-alignment
Jonathan S Tsay1,2, Hyosub Kim3,4, Adrian M Haith5
1Department of Psychology, University of California, Berkeley, Berkeley, United States.
Elife
|August 15, 2022
Summary
Implicit sensorimotor adaptation may prioritize proprioceptive error, not just visual error. This new model, the proprioceptive re-alignment model (PReMo), explains movement calibration and accuracy.
Area of Science:
- Neuroscience
- Motor Control
- Human Movement Science
Background:
- Implicit sensorimotor adaptation is crucial for accurate goal-directed movements.
- Current models emphasize minimizing visual errors during adaptation.
- The role of proprioception in adaptation has been largely overlooked.
Purpose of the Study:
- To propose an alternative framework for implicit sensorimotor adaptation.
- To introduce the proprioceptive re-alignment model (PReMo).
- To challenge the visuo-centric view of motor adaptation.
Main Methods:
- Development of the proprioceptive re-alignment model (PReMo).
- Analysis of existing literature on reaching movements.
- Identification of core predictions for future experimental testing.
Main Results:
- PReMo suggests implicit adaptation minimizes proprioceptive error (hand position vs. intended goal).
- The model accounts for phenomena previously explained by visual error minimization.
- PReMo offers a parsimonious explanation for unexplained adaptation phenomena.
Conclusions:
- Implicit sensorimotor adaptation may be driven by proprioceptive error minimization.
- PReMo provides a novel, proprioception-centric perspective on motor learning.
- Further experimental validation is needed to confirm PReMo's predictions.
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