Hierarchical motor adaptations negotiate failures during force field learning.
Tsuyoshi Ikegami1,2,3, Gowrishankar Ganesh1,2,4, Tricia L Gibo2,5
1Center for Information and Neural Networks (CiNet), National Institute of Information and Communications Technology (NICT), Osaka, Japan.
Plos Computational Biology
|April 19, 2021
Summary
Human motor learning involves internal model adaptation. New research reveals a distinct failure-driven adaptation process that quickly corrects reaching errors, demonstrating hierarchical motor control.
Area of Science:
- Neuroscience
- Motor Control
- Human Movement Science
Background:
- Human motor skills rely on adapting to body and environmental dynamics.
- Internal model adaptation is a key concept in motor learning studies.
- Reaching failures and their impact on adaptation are not fully understood.
Purpose of the Study:
- To investigate human reaching behavior under conditions that induce target errors.
- To differentiate between internal model adaptation and failure-driven adaptation.
- To explore the hierarchical interaction of these adaptation processes.
Main Methods:
- Experimental study of human arm reaching.
- Application of two types of force fields: one inducing errors, one not.
- Analysis of reaching trajectories and adaptation dynamics.
Main Results:
- A distinct failure-driven adaptation process was identified.
- This process enables rapid task success following movement failures.
- Failure-driven adaptation can lead to persistent changes in undisturbed movement trajectories.
Conclusions:
- Movement failure is managed through hierarchical motor adaptations.
- Internal model adaptation and failure-driven adaptation interact hierarchically.
- Humans employ distinct strategies to adapt to reaching errors.
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