De novo learning versus adaptation of continuous control in a manual tracking task

How do people learn to perform tasks that require continuous adjustments of motor output, like riding a bicycle? People rely heavily on cognitive strategies when learning discrete movement tasks, but such time-consuming strategies are infeasible in continuous control tasks that demand rapid response...

Full description

Bibliographic Details
Main Authors:	Christopher S Yang, Noah J Cowan, Adrian M Haith
Format:	Article
Language:	English
Published:	eLife Sciences Publications Ltd 2021-06-01
Series:	eLife
Subjects:	motor learning adaptation continuous control
Online Access:	https://elifesciences.org/articles/62578

id	doaj-b086e484aaff4b42b73578ecee343d51
record_format	Article
spelling	doaj-b086e484aaff4b42b73578ecee343d512021-07-08T15:16:38ZengeLife Sciences Publications LtdeLife2050-084X2021-06-011010.7554/eLife.62578De novo learning versus adaptation of continuous control in a manual tracking taskChristopher S Yang0https://orcid.org/0000-0002-7645-3861Noah J Cowan1https://orcid.org/0000-0003-2502-3770Adrian M Haith2https://orcid.org/0000-0002-5658-8654Department of Neuroscience, Johns Hopkins University, Baltimore, United StatesDepartment of Mechanical Engineering, Laboratory for Computational Sensing and Robotics, Johns Hopkins University, Baltimore, United StatesDepartment of Neurology, Johns Hopkins University, Baltimore, United StatesHow do people learn to perform tasks that require continuous adjustments of motor output, like riding a bicycle? People rely heavily on cognitive strategies when learning discrete movement tasks, but such time-consuming strategies are infeasible in continuous control tasks that demand rapid responses to ongoing sensory feedback. To understand how people can learn to perform such tasks without the benefit of cognitive strategies, we imposed a rotation/mirror reversal of visual feedback while participants performed a continuous tracking task. We analyzed behavior using a system identification approach, which revealed two qualitatively different components of learning: adaptation of a baseline controller and formation of a new, task-specific continuous controller. These components exhibited different signatures in the frequency domain and were differentially engaged under the rotation/mirror reversal. Our results demonstrate that people can rapidly build a new continuous controller de novo and can simultaneously deploy this process with adaptation of an existing controller.https://elifesciences.org/articles/62578motor learningadaptationcontinuous control
collection	DOAJ
language	English
format	Article
sources	DOAJ
author	Christopher S Yang Noah J Cowan Adrian M Haith
spellingShingle	Christopher S Yang Noah J Cowan Adrian M Haith De novo learning versus adaptation of continuous control in a manual tracking task eLife motor learning adaptation continuous control
author_facet	Christopher S Yang Noah J Cowan Adrian M Haith
author_sort	Christopher S Yang
title	De novo learning versus adaptation of continuous control in a manual tracking task
title_short	De novo learning versus adaptation of continuous control in a manual tracking task
title_full	De novo learning versus adaptation of continuous control in a manual tracking task
title_fullStr	De novo learning versus adaptation of continuous control in a manual tracking task
title_full_unstemmed	De novo learning versus adaptation of continuous control in a manual tracking task
title_sort	de novo learning versus adaptation of continuous control in a manual tracking task
publisher	eLife Sciences Publications Ltd
series	eLife
issn	2050-084X
publishDate	2021-06-01
description	How do people learn to perform tasks that require continuous adjustments of motor output, like riding a bicycle? People rely heavily on cognitive strategies when learning discrete movement tasks, but such time-consuming strategies are infeasible in continuous control tasks that demand rapid responses to ongoing sensory feedback. To understand how people can learn to perform such tasks without the benefit of cognitive strategies, we imposed a rotation/mirror reversal of visual feedback while participants performed a continuous tracking task. We analyzed behavior using a system identification approach, which revealed two qualitatively different components of learning: adaptation of a baseline controller and formation of a new, task-specific continuous controller. These components exhibited different signatures in the frequency domain and were differentially engaged under the rotation/mirror reversal. Our results demonstrate that people can rapidly build a new continuous controller de novo and can simultaneously deploy this process with adaptation of an existing controller.
topic	motor learning adaptation continuous control
url	https://elifesciences.org/articles/62578
work_keys_str_mv	AT christophersyang denovolearningversusadaptationofcontinuouscontrolinamanualtrackingtask AT noahjcowan denovolearningversusadaptationofcontinuouscontrolinamanualtrackingtask AT adrianmhaith denovolearningversusadaptationofcontinuouscontrolinamanualtrackingtask
_version_	1721313262797062144

De novo learning versus adaptation of continuous control in a manual tracking task

Similar Items