Computational mechanism underlying switching of motor actions.

Survival of species in an ever-changing environment requires a flexibility that extends beyond merely selecting the most appropriate actions. It also involves readiness to stop or switch actions in response to environmental changes. Although considerable research has been devoted to understanding ho...

Full description

Saved in:
Bibliographic Details
Main Authors: Shan Zhong, Nader Pouratian, Vassilios Christopoulos
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2025-02-01
Series:PLoS Computational Biology
Online Access:https://doi.org/10.1371/journal.pcbi.1012811
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1849324017749590016
author Shan Zhong
Nader Pouratian
Vassilios Christopoulos
author_facet Shan Zhong
Nader Pouratian
Vassilios Christopoulos
author_sort Shan Zhong
collection DOAJ
description Survival of species in an ever-changing environment requires a flexibility that extends beyond merely selecting the most appropriate actions. It also involves readiness to stop or switch actions in response to environmental changes. Although considerable research has been devoted to understanding how the brain switches actions, the computations underlying the switching process and how it relates to the selecting and stopping processes remain elusive. A normative theory suggests that switching is simply an extension of the stopping process, during which a current action is first inhibited by an independent pause mechanism before a new action is generated. This theory was challenged by the affordance competition hypothesis, according to which the switching process is implemented through a competition between the current and new actions, without engaging an independent pause mechanism. To delineate the computations underlying these action regulation functions, we utilized a neurocomputational theory that models the process of selecting, stopping and switching reaching movements. We tested the model predictions in healthy individuals who performed reaches in dynamic and uncertain environments that often required stopping and switching actions. Our findings suggest that unlike the stopping process, switching does not necessitate a proactive pause mechanism to delay movement initiation. Hence, the switching and stopping processes seem to be implemented by different mechanisms at the planning phase of the reaching movement. However, once the reaching movement has been initiated, the switching process seems to involve an independent pause mechanism if the new target location is unknown prior to movement initiation. These findings offer a new understanding of the computations underlying action switching, contribute valuable insights into the fundamental neuroscientific mechanisms of action regulation, and open new avenues for future neurophysiological investigations.
format Article
id doaj-art-e7393dc738b34544b51dc748807e3d98
institution Kabale University
issn 1553-734X
1553-7358
language English
publishDate 2025-02-01
publisher Public Library of Science (PLoS)
record_format Article
series PLoS Computational Biology
spelling doaj-art-e7393dc738b34544b51dc748807e3d982025-08-20T03:48:51ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582025-02-01212e101281110.1371/journal.pcbi.1012811Computational mechanism underlying switching of motor actions.Shan ZhongNader PouratianVassilios ChristopoulosSurvival of species in an ever-changing environment requires a flexibility that extends beyond merely selecting the most appropriate actions. It also involves readiness to stop or switch actions in response to environmental changes. Although considerable research has been devoted to understanding how the brain switches actions, the computations underlying the switching process and how it relates to the selecting and stopping processes remain elusive. A normative theory suggests that switching is simply an extension of the stopping process, during which a current action is first inhibited by an independent pause mechanism before a new action is generated. This theory was challenged by the affordance competition hypothesis, according to which the switching process is implemented through a competition between the current and new actions, without engaging an independent pause mechanism. To delineate the computations underlying these action regulation functions, we utilized a neurocomputational theory that models the process of selecting, stopping and switching reaching movements. We tested the model predictions in healthy individuals who performed reaches in dynamic and uncertain environments that often required stopping and switching actions. Our findings suggest that unlike the stopping process, switching does not necessitate a proactive pause mechanism to delay movement initiation. Hence, the switching and stopping processes seem to be implemented by different mechanisms at the planning phase of the reaching movement. However, once the reaching movement has been initiated, the switching process seems to involve an independent pause mechanism if the new target location is unknown prior to movement initiation. These findings offer a new understanding of the computations underlying action switching, contribute valuable insights into the fundamental neuroscientific mechanisms of action regulation, and open new avenues for future neurophysiological investigations.https://doi.org/10.1371/journal.pcbi.1012811
spellingShingle Shan Zhong
Nader Pouratian
Vassilios Christopoulos
Computational mechanism underlying switching of motor actions.
PLoS Computational Biology
title Computational mechanism underlying switching of motor actions.
title_full Computational mechanism underlying switching of motor actions.
title_fullStr Computational mechanism underlying switching of motor actions.
title_full_unstemmed Computational mechanism underlying switching of motor actions.
title_short Computational mechanism underlying switching of motor actions.
title_sort computational mechanism underlying switching of motor actions
url https://doi.org/10.1371/journal.pcbi.1012811
work_keys_str_mv AT shanzhong computationalmechanismunderlyingswitchingofmotoractions
AT naderpouratian computationalmechanismunderlyingswitchingofmotoractions
AT vassilioschristopoulos computationalmechanismunderlyingswitchingofmotoractions