Motor planning flexibly optimizes performance under uncertainty about task goals

It is thought that, when goals are uncertain, actions are generated by averaging multiple possible movement plans. Here the authors show that movement planning under uncertainty instead varies flexibly depending on the speed of the movement in order to maximize success.

Bibliographic Details
Main Authors: Aaron L. Wong, Adrian M. Haith
Format: Article
Language:English
Published: Nature Publishing Group 2017-03-01
Series:Nature Communications
Online Access:https://doi.org/10.1038/ncomms14624
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spelling doaj-44411f17e2a5436c9470430db37f85a72021-05-11T07:49:03ZengNature Publishing GroupNature Communications2041-17232017-03-018111010.1038/ncomms14624Motor planning flexibly optimizes performance under uncertainty about task goalsAaron L. Wong0Adrian M. Haith1Department of Neurology, Johns Hopkins University School of MedicineDepartment of Neurology, Johns Hopkins University School of MedicineIt is thought that, when goals are uncertain, actions are generated by averaging multiple possible movement plans. Here the authors show that movement planning under uncertainty instead varies flexibly depending on the speed of the movement in order to maximize success.https://doi.org/10.1038/ncomms14624
collection DOAJ
language English
format Article
sources DOAJ
author Aaron L. Wong
Adrian M. Haith
spellingShingle Aaron L. Wong
Adrian M. Haith
Motor planning flexibly optimizes performance under uncertainty about task goals
Nature Communications
author_facet Aaron L. Wong
Adrian M. Haith
author_sort Aaron L. Wong
title Motor planning flexibly optimizes performance under uncertainty about task goals
title_short Motor planning flexibly optimizes performance under uncertainty about task goals
title_full Motor planning flexibly optimizes performance under uncertainty about task goals
title_fullStr Motor planning flexibly optimizes performance under uncertainty about task goals
title_full_unstemmed Motor planning flexibly optimizes performance under uncertainty about task goals
title_sort motor planning flexibly optimizes performance under uncertainty about task goals
publisher Nature Publishing Group
series Nature Communications
issn 2041-1723
publishDate 2017-03-01
description It is thought that, when goals are uncertain, actions are generated by averaging multiple possible movement plans. Here the authors show that movement planning under uncertainty instead varies flexibly depending on the speed of the movement in order to maximize success.
url https://doi.org/10.1038/ncomms14624
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