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From Parametric Representation to Dynamical System: Shifting Views of the Motor Cortex in Motor Control

In contrast to traditional representational perspectives in which the motor cortex is involved in motor control via neuronal preference for kinetics and kinematics, a dynamical system perspective emerging in the last decade views the motor cortex as a dynamical machine that generates motor commands...

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Detalles Bibliográficos
Autores principales: Wang, Tianwei, Chen, Yun, Cui, He
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Nature Singapore 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9276910/
https://www.ncbi.nlm.nih.gov/pubmed/35298779
http://dx.doi.org/10.1007/s12264-022-00832-x
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author Wang, Tianwei
Chen, Yun
Cui, He
author_facet Wang, Tianwei
Chen, Yun
Cui, He
author_sort Wang, Tianwei
collection PubMed
description In contrast to traditional representational perspectives in which the motor cortex is involved in motor control via neuronal preference for kinetics and kinematics, a dynamical system perspective emerging in the last decade views the motor cortex as a dynamical machine that generates motor commands by autonomous temporal evolution. In this review, we first look back at the history of the representational and dynamical perspectives and discuss their explanatory power and controversy from both empirical and computational points of view. Here, we aim to reconcile the above perspectives, and evaluate their theoretical impact, future direction, and potential applications in brain-machine interfaces.
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spelling pubmed-92769102022-07-14 From Parametric Representation to Dynamical System: Shifting Views of the Motor Cortex in Motor Control Wang, Tianwei Chen, Yun Cui, He Neurosci Bull Review In contrast to traditional representational perspectives in which the motor cortex is involved in motor control via neuronal preference for kinetics and kinematics, a dynamical system perspective emerging in the last decade views the motor cortex as a dynamical machine that generates motor commands by autonomous temporal evolution. In this review, we first look back at the history of the representational and dynamical perspectives and discuss their explanatory power and controversy from both empirical and computational points of view. Here, we aim to reconcile the above perspectives, and evaluate their theoretical impact, future direction, and potential applications in brain-machine interfaces. Springer Nature Singapore 2022-03-17 /pmc/articles/PMC9276910/ /pubmed/35298779 http://dx.doi.org/10.1007/s12264-022-00832-x Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Review
Wang, Tianwei
Chen, Yun
Cui, He
From Parametric Representation to Dynamical System: Shifting Views of the Motor Cortex in Motor Control
title From Parametric Representation to Dynamical System: Shifting Views of the Motor Cortex in Motor Control
title_full From Parametric Representation to Dynamical System: Shifting Views of the Motor Cortex in Motor Control
title_fullStr From Parametric Representation to Dynamical System: Shifting Views of the Motor Cortex in Motor Control
title_full_unstemmed From Parametric Representation to Dynamical System: Shifting Views of the Motor Cortex in Motor Control
title_short From Parametric Representation to Dynamical System: Shifting Views of the Motor Cortex in Motor Control
title_sort from parametric representation to dynamical system: shifting views of the motor cortex in motor control
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9276910/
https://www.ncbi.nlm.nih.gov/pubmed/35298779
http://dx.doi.org/10.1007/s12264-022-00832-x
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