A Dynamical Systems Perspective on Flexible Motor Timing
© 2018 Elsevier Ltd A hallmark of higher brain function is the ability to rapidly and flexibly adjust behavioral responses based on internal and external cues. Here, we examine the computational principles that allow decisions and actions to unfold flexibly in time. We adopt a dynamical systems pers...
| Main Authors: | , , , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
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Elsevier BV
2021
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| Online Access: | https://hdl.handle.net/1721.1/135838 |
| _version_ | 1826210798530199552 |
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| author | Remington, Evan D Egger, Seth W Narain, Devika Wang, Jing Jazayeri, Mehrdad |
| author2 | McGovern Institute for Brain Research at MIT |
| author_facet | McGovern Institute for Brain Research at MIT Remington, Evan D Egger, Seth W Narain, Devika Wang, Jing Jazayeri, Mehrdad |
| author_sort | Remington, Evan D |
| collection | MIT |
| description | © 2018 Elsevier Ltd A hallmark of higher brain function is the ability to rapidly and flexibly adjust behavioral responses based on internal and external cues. Here, we examine the computational principles that allow decisions and actions to unfold flexibly in time. We adopt a dynamical systems perspective and outline how temporal flexibility in such a system can be achieved through manipulations of inputs and initial conditions. We then review evidence from experiments in nonhuman primates that support this interpretation. Finally, we explore the broader utility and limitations of the dynamical systems perspective as a general framework for addressing open questions related to the temporal control of movements, as well as in the domains of learning and sequence generation. |
| first_indexed | 2024-09-23T14:55:37Z |
| format | Article |
| id | mit-1721.1/135838 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T14:55:37Z |
| publishDate | 2021 |
| publisher | Elsevier BV |
| record_format | dspace |
| spelling | mit-1721.1/1358382023-10-06T19:42:19Z A Dynamical Systems Perspective on Flexible Motor Timing Remington, Evan D Egger, Seth W Narain, Devika Wang, Jing Jazayeri, Mehrdad McGovern Institute for Brain Research at MIT Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences © 2018 Elsevier Ltd A hallmark of higher brain function is the ability to rapidly and flexibly adjust behavioral responses based on internal and external cues. Here, we examine the computational principles that allow decisions and actions to unfold flexibly in time. We adopt a dynamical systems perspective and outline how temporal flexibility in such a system can be achieved through manipulations of inputs and initial conditions. We then review evidence from experiments in nonhuman primates that support this interpretation. Finally, we explore the broader utility and limitations of the dynamical systems perspective as a general framework for addressing open questions related to the temporal control of movements, as well as in the domains of learning and sequence generation. 2021-10-27T20:29:34Z 2021-10-27T20:29:34Z 2018 2019-10-02T16:25:56Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/135838 en 10.1016/J.TICS.2018.07.010 Trends in Cognitive Sciences Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier BV PMC |
| spellingShingle | Remington, Evan D Egger, Seth W Narain, Devika Wang, Jing Jazayeri, Mehrdad A Dynamical Systems Perspective on Flexible Motor Timing |
| title | A Dynamical Systems Perspective on Flexible Motor Timing |
| title_full | A Dynamical Systems Perspective on Flexible Motor Timing |
| title_fullStr | A Dynamical Systems Perspective on Flexible Motor Timing |
| title_full_unstemmed | A Dynamical Systems Perspective on Flexible Motor Timing |
| title_short | A Dynamical Systems Perspective on Flexible Motor Timing |
| title_sort | dynamical systems perspective on flexible motor timing |
| url | https://hdl.handle.net/1721.1/135838 |
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