A neural circuit model for human sensorimotor timing
© 2020, The Author(s). Humans and animals can effortlessly coordinate their movements with external stimuli. This capacity indicates that sensory inputs can rapidly and flexibly reconfigure the ongoing dynamics in the neural circuits that control movements. Here, we develop a circuit-level model tha...
| Main Authors: | , , |
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| Other Authors: | |
| Format: | Article |
| Language: | English |
| Published: |
Springer Science and Business Media LLC
2021
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| Online Access: | https://hdl.handle.net/1721.1/135246 |
| _version_ | 1826208700493201408 |
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| author | Egger, Seth W Le, Nhat M Jazayeri, Mehrdad |
| author2 | McGovern Institute for Brain Research at MIT |
| author_facet | McGovern Institute for Brain Research at MIT Egger, Seth W Le, Nhat M Jazayeri, Mehrdad |
| author_sort | Egger, Seth W |
| collection | MIT |
| description | © 2020, The Author(s). Humans and animals can effortlessly coordinate their movements with external stimuli. This capacity indicates that sensory inputs can rapidly and flexibly reconfigure the ongoing dynamics in the neural circuits that control movements. Here, we develop a circuit-level model that coordinates movement times with expected and unexpected temporal events. The model consists of two interacting modules, a motor planning module that controls movement times and a sensory anticipation module that anticipates external events. Both modules harbor a reservoir of latent dynamics, and their interaction forms a control system whose output is adjusted adaptively to minimize timing errors. We show that the model’s output matches human behavior in a range of tasks including time interval production, periodic production, synchronization/continuation, and Bayesian time interval reproduction. These results demonstrate how recurrent interactions in a simple and modular neural circuit could create the dynamics needed to control timing behavior. |
| first_indexed | 2024-09-23T14:10:24Z |
| format | Article |
| id | mit-1721.1/135246 |
| institution | Massachusetts Institute of Technology |
| language | English |
| last_indexed | 2024-09-23T14:10:24Z |
| publishDate | 2021 |
| publisher | Springer Science and Business Media LLC |
| record_format | dspace |
| spelling | mit-1721.1/1352462023-10-13T20:41:07Z A neural circuit model for human sensorimotor timing Egger, Seth W Le, Nhat M Jazayeri, Mehrdad McGovern Institute for Brain Research at MIT Massachusetts Institute of Technology. Department of Brain and Cognitive Sciences Picower Institute for Learning and Memory © 2020, The Author(s). Humans and animals can effortlessly coordinate their movements with external stimuli. This capacity indicates that sensory inputs can rapidly and flexibly reconfigure the ongoing dynamics in the neural circuits that control movements. Here, we develop a circuit-level model that coordinates movement times with expected and unexpected temporal events. The model consists of two interacting modules, a motor planning module that controls movement times and a sensory anticipation module that anticipates external events. Both modules harbor a reservoir of latent dynamics, and their interaction forms a control system whose output is adjusted adaptively to minimize timing errors. We show that the model’s output matches human behavior in a range of tasks including time interval production, periodic production, synchronization/continuation, and Bayesian time interval reproduction. These results demonstrate how recurrent interactions in a simple and modular neural circuit could create the dynamics needed to control timing behavior. 2021-10-27T20:22:37Z 2021-10-27T20:22:37Z 2020 2021-03-24T17:08:59Z Article http://purl.org/eprint/type/JournalArticle https://hdl.handle.net/1721.1/135246 en 10.1038/S41467-020-16999-8 Nature Communications Creative Commons Attribution 4.0 International license https://creativecommons.org/licenses/by/4.0/ application/pdf Springer Science and Business Media LLC Nature |
| spellingShingle | Egger, Seth W Le, Nhat M Jazayeri, Mehrdad A neural circuit model for human sensorimotor timing |
| title | A neural circuit model for human sensorimotor timing |
| title_full | A neural circuit model for human sensorimotor timing |
| title_fullStr | A neural circuit model for human sensorimotor timing |
| title_full_unstemmed | A neural circuit model for human sensorimotor timing |
| title_short | A neural circuit model for human sensorimotor timing |
| title_sort | neural circuit model for human sensorimotor timing |
| url | https://hdl.handle.net/1721.1/135246 |
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