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Differences in Context and Feedback Result in Different Trajectories and Adaptation Strategies in Reaching

Computational models of motor control have often explained the straightness of horizontal planar reaching movements as a consequence of optimal control. Departure from rectilinearity is thus regarded as sub-optimal. Here we examine if subjects may instead select to make curved trajectories following...

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Autores principales: Arce, Fritzie, Novick, Itai, Shahar, Maayan, Link, Yuval, Ghez, Claude, Vaadia, Eilon
Formato: Texto
Lenguaje:English
Publicado: Public Library of Science 2009
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2625444/
https://www.ncbi.nlm.nih.gov/pubmed/19148302
http://dx.doi.org/10.1371/journal.pone.0004214
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author Arce, Fritzie
Novick, Itai
Shahar, Maayan
Link, Yuval
Ghez, Claude
Vaadia, Eilon
author_facet Arce, Fritzie
Novick, Itai
Shahar, Maayan
Link, Yuval
Ghez, Claude
Vaadia, Eilon
author_sort Arce, Fritzie
collection PubMed
description Computational models of motor control have often explained the straightness of horizontal planar reaching movements as a consequence of optimal control. Departure from rectilinearity is thus regarded as sub-optimal. Here we examine if subjects may instead select to make curved trajectories following adaptation to force fields and visuomotor rotations. Separate subjects adapted to force fields with or without visual feedback of their hand trajectory and were retested after 24 hours. Following adaptation, comparable accuracies were achieved in two ways: with visual feedback, adapted trajectories in force fields were straight whereas without it, they remained curved. The results suggest that trajectory shape is not always straight, but is also influenced by the calibration of available feedback signals for the state estimation required by the task. In a follow-up experiment, where additional subjects learned a visuomotor rotation immediately after force field, the trajectories learned in force fields (straight or curved) were transferred when directions of the perturbations were similar but not when directions were opposing. This demonstrates a strong bias by prior experience to keep using a recently acquired control policy that continues to produce successful performance inspite of differences in tasks and feedback conditions. On relearning of force fields on the second day, facilitation by intervening visuomotor rotations occurred only when required motor adjustments and calibration of feedback signals were similar in both tasks. These results suggest that both the available feedback signals and prior history of learning influence the choice and maintenance of control policy during adaptations.
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spelling pubmed-26254442009-01-16 Differences in Context and Feedback Result in Different Trajectories and Adaptation Strategies in Reaching Arce, Fritzie Novick, Itai Shahar, Maayan Link, Yuval Ghez, Claude Vaadia, Eilon PLoS One Research Article Computational models of motor control have often explained the straightness of horizontal planar reaching movements as a consequence of optimal control. Departure from rectilinearity is thus regarded as sub-optimal. Here we examine if subjects may instead select to make curved trajectories following adaptation to force fields and visuomotor rotations. Separate subjects adapted to force fields with or without visual feedback of their hand trajectory and were retested after 24 hours. Following adaptation, comparable accuracies were achieved in two ways: with visual feedback, adapted trajectories in force fields were straight whereas without it, they remained curved. The results suggest that trajectory shape is not always straight, but is also influenced by the calibration of available feedback signals for the state estimation required by the task. In a follow-up experiment, where additional subjects learned a visuomotor rotation immediately after force field, the trajectories learned in force fields (straight or curved) were transferred when directions of the perturbations were similar but not when directions were opposing. This demonstrates a strong bias by prior experience to keep using a recently acquired control policy that continues to produce successful performance inspite of differences in tasks and feedback conditions. On relearning of force fields on the second day, facilitation by intervening visuomotor rotations occurred only when required motor adjustments and calibration of feedback signals were similar in both tasks. These results suggest that both the available feedback signals and prior history of learning influence the choice and maintenance of control policy during adaptations. Public Library of Science 2009-01-16 /pmc/articles/PMC2625444/ /pubmed/19148302 http://dx.doi.org/10.1371/journal.pone.0004214 Text en Arce et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited.
spellingShingle Research Article
Arce, Fritzie
Novick, Itai
Shahar, Maayan
Link, Yuval
Ghez, Claude
Vaadia, Eilon
Differences in Context and Feedback Result in Different Trajectories and Adaptation Strategies in Reaching
title Differences in Context and Feedback Result in Different Trajectories and Adaptation Strategies in Reaching
title_full Differences in Context and Feedback Result in Different Trajectories and Adaptation Strategies in Reaching
title_fullStr Differences in Context and Feedback Result in Different Trajectories and Adaptation Strategies in Reaching
title_full_unstemmed Differences in Context and Feedback Result in Different Trajectories and Adaptation Strategies in Reaching
title_short Differences in Context and Feedback Result in Different Trajectories and Adaptation Strategies in Reaching
title_sort differences in context and feedback result in different trajectories and adaptation strategies in reaching
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2625444/
https://www.ncbi.nlm.nih.gov/pubmed/19148302
http://dx.doi.org/10.1371/journal.pone.0004214
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