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Article Dans Une Revue PLoS Computational Biology Année : 2022

What is the nature of motor adaptation to dynamic perturbations?

Résumé

When human participants repeatedly encounter a velocity-dependent force field that distorts their movement trajectories, they adapt their motor behavior to recover straight trajectories. Computational models suggest that adaptation to a force field occurs at the action selection level through changes in the mapping between goals and actions. The quantitative prediction from these models indicates that early perturbed trajectories before adaptation and late unperturbed trajectories after adaptation should have opposite curvature, i.e. one being a mirror image of the other. We tested these predictions in a human adaptation experiment and we found that the expected mirror organization was either absent or much weaker than predicted by the models. These results are incompatible with adaptation occurring at the action selection level but compatible with adaptation occurring at the goal selection level, as if adaptation corresponds to aiming toward spatially remapped targets.
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hal-03748710 , version 1 (09-08-2022)

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  • HAL Id : hal-03748710 , version 1

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Etienne Moullet, Agnès Roby-Brami, Emmanuel Guigon. What is the nature of motor adaptation to dynamic perturbations?. PLoS Computational Biology, 2022, 18 (8), pp.e1010470. ⟨hal-03748710⟩
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