Interference and shaping in sensorimotor adaptations with rewards.

When a perturbation is applied in a sensorimotor transformation task, subjects can adapt and maintain performance by either relying on sensory feedback, or, in the absence of such feedback, on information provided by rewards. For example, in a classical rotation task where movement endpoints must be...

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Autores principales: Ran Darshan, Arthur Leblois, David Hansel
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Lenguaje:EN
Publicado: Public Library of Science (PLoS) 2014
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Acceso en línea:https://doaj.org/article/dcc9c2881efa477da60fe389d7c967a4
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spelling oai:doaj.org-article:dcc9c2881efa477da60fe389d7c967a42021-11-18T05:53:14ZInterference and shaping in sensorimotor adaptations with rewards.1553-734X1553-735810.1371/journal.pcbi.1003377https://doaj.org/article/dcc9c2881efa477da60fe389d7c967a42014-01-01T00:00:00Zhttps://www.ncbi.nlm.nih.gov/pmc/articles/pmid/24415925/pdf/?tool=EBIhttps://doaj.org/toc/1553-734Xhttps://doaj.org/toc/1553-7358When a perturbation is applied in a sensorimotor transformation task, subjects can adapt and maintain performance by either relying on sensory feedback, or, in the absence of such feedback, on information provided by rewards. For example, in a classical rotation task where movement endpoints must be rotated to reach a fixed target, human subjects can successfully adapt their reaching movements solely on the basis of binary rewards, although this proves much more difficult than with visual feedback. Here, we investigate such a reward-driven sensorimotor adaptation process in a minimal computational model of the task. The key assumption of the model is that synaptic plasticity is gated by the reward. We study how the learning dynamics depend on the target size, the movement variability, the rotation angle and the number of targets. We show that when the movement is perturbed for multiple targets, the adaptation process for the different targets can interfere destructively or constructively depending on the similarities between the sensory stimuli (the targets) and the overlap in their neuronal representations. Destructive interferences can result in a drastic slowdown of the adaptation. As a result of interference, the time to adapt varies non-linearly with the number of targets. Our analysis shows that these interferences are weaker if the reward varies smoothly with the subject's performance instead of being binary. We demonstrate how shaping the reward or shaping the task can accelerate the adaptation dramatically by reducing the destructive interferences. We argue that experimentally investigating the dynamics of reward-driven sensorimotor adaptation for more than one sensory stimulus can shed light on the underlying learning rules.Ran DarshanArthur LebloisDavid HanselPublic Library of Science (PLoS)articleBiology (General)QH301-705.5ENPLoS Computational Biology, Vol 10, Iss 1, p e1003377 (2014)
institution DOAJ
collection DOAJ
language EN
topic Biology (General)
QH301-705.5
spellingShingle Biology (General)
QH301-705.5
Ran Darshan
Arthur Leblois
David Hansel
Interference and shaping in sensorimotor adaptations with rewards.
description When a perturbation is applied in a sensorimotor transformation task, subjects can adapt and maintain performance by either relying on sensory feedback, or, in the absence of such feedback, on information provided by rewards. For example, in a classical rotation task where movement endpoints must be rotated to reach a fixed target, human subjects can successfully adapt their reaching movements solely on the basis of binary rewards, although this proves much more difficult than with visual feedback. Here, we investigate such a reward-driven sensorimotor adaptation process in a minimal computational model of the task. The key assumption of the model is that synaptic plasticity is gated by the reward. We study how the learning dynamics depend on the target size, the movement variability, the rotation angle and the number of targets. We show that when the movement is perturbed for multiple targets, the adaptation process for the different targets can interfere destructively or constructively depending on the similarities between the sensory stimuli (the targets) and the overlap in their neuronal representations. Destructive interferences can result in a drastic slowdown of the adaptation. As a result of interference, the time to adapt varies non-linearly with the number of targets. Our analysis shows that these interferences are weaker if the reward varies smoothly with the subject's performance instead of being binary. We demonstrate how shaping the reward or shaping the task can accelerate the adaptation dramatically by reducing the destructive interferences. We argue that experimentally investigating the dynamics of reward-driven sensorimotor adaptation for more than one sensory stimulus can shed light on the underlying learning rules.
format article
author Ran Darshan
Arthur Leblois
David Hansel
author_facet Ran Darshan
Arthur Leblois
David Hansel
author_sort Ran Darshan
title Interference and shaping in sensorimotor adaptations with rewards.
title_short Interference and shaping in sensorimotor adaptations with rewards.
title_full Interference and shaping in sensorimotor adaptations with rewards.
title_fullStr Interference and shaping in sensorimotor adaptations with rewards.
title_full_unstemmed Interference and shaping in sensorimotor adaptations with rewards.
title_sort interference and shaping in sensorimotor adaptations with rewards.
publisher Public Library of Science (PLoS)
publishDate 2014
url https://doaj.org/article/dcc9c2881efa477da60fe389d7c967a4
work_keys_str_mv AT randarshan interferenceandshapinginsensorimotoradaptationswithrewards
AT arthurleblois interferenceandshapinginsensorimotoradaptationswithrewards
AT davidhansel interferenceandshapinginsensorimotoradaptationswithrewards
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