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Assessing explicit strategies in force field adaptation.

Raphael Schween1, Samuel D McDougle2, Mathias Hegele1,3

  • 1Neuromotor Behavior Laboratory, Department of Psychology & Sport Science, Justus-Liebig-University Giessen, Giessen, Germany.

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Explicit learning contributes to dynamic force field adaptation. Novel methods revealed participants could consciously control and report compensatory forces, though implicit learning remained dominant.

Keywords:
action selectiondeclarative memoryinternal modelsensorimotorvisuomotor adaptation

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Area of Science:

  • Motor Control
  • Human Learning
  • Neuroscience

Background:

  • Visuomotor adaptation involves both implicit and explicit learning.
  • Explicit learning's role in dynamic perturbations is understudied compared to kinematic ones.

Purpose of the Study:

  • To assess explicit learning's contribution to dynamic force field adaptation.
  • To develop novel methods for measuring explicit contributions in force field tasks.

Main Methods:

  • Modified force field experiments with cognitive strategy abandonment.
  • Cross-limb transfer tasks using a naive limb to report adaptation.

Main Results:

  • Participants reduced compensatory force in strategy-abandonment trials.
  • The mimicking limb reported forces approximating adaptation but under-reporting velocity components.

Conclusions:

  • Explicit learning is a viable contributor to force field adaptation.
  • Novel methods demonstrate conscious control and reporting of motor adaptation.
  • Implicit learning remains the dominant form of adaptation in force field tasks.