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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Main Authors: Fritzie Arce, Itai Novick, Maayan Shahar, Yuval Link, Claude Ghez, Eilon Vaadia
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2009-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC2625444?pdf=render
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spelling doaj-fe0268fa692c430a8ee63e6053f4ed732020-11-25T01:57:35ZengPublic Library of Science (PLoS)PLoS ONE1932-62032009-01-0141e421410.1371/journal.pone.0004214Differences in context and feedback result in different trajectories and adaptation strategies in reaching.Fritzie ArceItai NovickMaayan ShaharYuval LinkClaude GhezEilon VaadiaComputational 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.http://europepmc.org/articles/PMC2625444?pdf=render
collection DOAJ
language English
format Article
sources DOAJ
author Fritzie Arce
Itai Novick
Maayan Shahar
Yuval Link
Claude Ghez
Eilon Vaadia
spellingShingle Fritzie Arce
Itai Novick
Maayan Shahar
Yuval Link
Claude Ghez
Eilon Vaadia
Differences in context and feedback result in different trajectories and adaptation strategies in reaching.
PLoS ONE
author_facet Fritzie Arce
Itai Novick
Maayan Shahar
Yuval Link
Claude Ghez
Eilon Vaadia
author_sort Fritzie Arce
title 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_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_sort differences in context and feedback result in different trajectories and adaptation strategies in reaching.
publisher Public Library of Science (PLoS)
series PLoS ONE
issn 1932-6203
publishDate 2009-01-01
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.
url http://europepmc.org/articles/PMC2625444?pdf=render
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