Flexible Sensorimotor Computations through Rapid Reconfiguration of Cortical Dynamics
© 2018 Elsevier Inc. Neural mechanisms that support flexible sensorimotor computations are not well understood. In a dynamical system whose state is determined by interactions among neurons, computations can be rapidly reconfigured by controlling the system's inputs and initial conditions. To i...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Elsevier BV
2021
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| Online Access: | https://hdl.handle.net/1721.1/134935 |
| _version_ | 1826214064067444736 |
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| author | Remington, Evan D Narain, Devika Hosseini, Eghbal A Jazayeri, Mehrdad |
| author_facet | Remington, Evan D Narain, Devika Hosseini, Eghbal A Jazayeri, Mehrdad |
| author_sort | Remington, Evan D |
| collection | MIT |
| description | © 2018 Elsevier Inc. Neural mechanisms that support flexible sensorimotor computations are not well understood. In a dynamical system whose state is determined by interactions among neurons, computations can be rapidly reconfigured by controlling the system's inputs and initial conditions. To investigate whether the brain employs such control mechanisms, we recorded from the dorsomedial frontal cortex of monkeys trained to measure and produce time intervals in two sensorimotor contexts. The geometry of neural trajectories during the production epoch was consistent with a mechanism wherein the measured interval and sensorimotor context exerted control over cortical dynamics by adjusting the system's initial condition and input, respectively. These adjustments, in turn, set the speed at which activity evolved in the production epoch, allowing the animal to flexibly produce different time intervals. These results provide evidence that the language of dynamical systems can be used to parsimoniously link brain activity to sensorimotor computations. Remington et al. employ a dynamical systems perspective to understand how the brain flexibly controls timed movements. Results suggest that neurons in the frontal cortex form a recurrent network whose behavior is flexibly controlled by inputs and initial conditions. |
| first_indexed | 2024-09-23T15:59:13Z |
| format | Article |
| id | mit-1721.1/134935 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T15:59:13Z |
| publishDate | 2021 |
| publisher | Elsevier BV |
| record_format | dspace |
| spelling | mit-1721.1/1349352022-04-01T16:18:08Z Flexible Sensorimotor Computations through Rapid Reconfiguration of Cortical Dynamics Remington, Evan D Narain, Devika Hosseini, Eghbal A Jazayeri, Mehrdad © 2018 Elsevier Inc. Neural mechanisms that support flexible sensorimotor computations are not well understood. In a dynamical system whose state is determined by interactions among neurons, computations can be rapidly reconfigured by controlling the system's inputs and initial conditions. To investigate whether the brain employs such control mechanisms, we recorded from the dorsomedial frontal cortex of monkeys trained to measure and produce time intervals in two sensorimotor contexts. The geometry of neural trajectories during the production epoch was consistent with a mechanism wherein the measured interval and sensorimotor context exerted control over cortical dynamics by adjusting the system's initial condition and input, respectively. These adjustments, in turn, set the speed at which activity evolved in the production epoch, allowing the animal to flexibly produce different time intervals. These results provide evidence that the language of dynamical systems can be used to parsimoniously link brain activity to sensorimotor computations. Remington et al. employ a dynamical systems perspective to understand how the brain flexibly controls timed movements. Results suggest that neurons in the frontal cortex form a recurrent network whose behavior is flexibly controlled by inputs and initial conditions. 2021-10-27T20:09:56Z 2021-10-27T20:09:56Z 2018 2019-10-02T16:37:35Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/134935 en 10.1016/J.NEURON.2018.05.020 Neuron Creative Commons Attribution-NonCommercial-NoDerivs License http://creativecommons.org/licenses/by-nc-nd/4.0/ application/pdf Elsevier BV PMC |
| spellingShingle | Remington, Evan D Narain, Devika Hosseini, Eghbal A Jazayeri, Mehrdad Flexible Sensorimotor Computations through Rapid Reconfiguration of Cortical Dynamics |
| title | Flexible Sensorimotor Computations through Rapid Reconfiguration of Cortical Dynamics |
| title_full | Flexible Sensorimotor Computations through Rapid Reconfiguration of Cortical Dynamics |
| title_fullStr | Flexible Sensorimotor Computations through Rapid Reconfiguration of Cortical Dynamics |
| title_full_unstemmed | Flexible Sensorimotor Computations through Rapid Reconfiguration of Cortical Dynamics |
| title_short | Flexible Sensorimotor Computations through Rapid Reconfiguration of Cortical Dynamics |
| title_sort | flexible sensorimotor computations through rapid reconfiguration of cortical dynamics |
| url | https://hdl.handle.net/1721.1/134935 |
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