Stochastic optimal feedforward-feedback control determines timing and variability of arm movements with or without vision.
Human movements with or without vision exhibit timing (i.e. speed and duration) and variability characteristics which are not well captured by existing computational models. Here, we introduce a stochastic optimal feedforward-feedback control (SFFC) model that can predict the nominal timing and tria...
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| Format: | Article |
| Language: | English |
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Public Library of Science (PLoS)
2021-06-01
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| Series: | PLoS Computational Biology |
| Online Access: | https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1009047&type=printable |
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| _version_ | 1850042435020783616 |
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| author | Bastien Berret Adrien Conessa Nicolas Schweighofer Etienne Burdet |
| author_facet | Bastien Berret Adrien Conessa Nicolas Schweighofer Etienne Burdet |
| author_sort | Bastien Berret |
| collection | DOAJ |
| description | Human movements with or without vision exhibit timing (i.e. speed and duration) and variability characteristics which are not well captured by existing computational models. Here, we introduce a stochastic optimal feedforward-feedback control (SFFC) model that can predict the nominal timing and trial-by-trial variability of self-paced arm reaching movements carried out with or without online visual feedback of the hand. In SFFC, movement timing results from the minimization of the intrinsic factors of effort and variance due to constant and signal-dependent motor noise, and movement variability depends on the integration of visual feedback. Reaching arm movements data are used to examine the effect of online vision on movement timing and variability, and test the model. This modelling suggests that the central nervous system predicts the effects of sensorimotor noise to generate an optimal feedforward motor command, and triggers optimal feedback corrections to task-related errors based on the available limb state estimate. |
| format | Article |
| id | doaj-art-b5c75019a5de4b56ba712127904ea876 |
| institution | DOAJ |
| issn | 1553-734X 1553-7358 |
| language | English |
| publishDate | 2021-06-01 |
| publisher | Public Library of Science (PLoS) |
| record_format | Article |
| series | PLoS Computational Biology |
| spelling | doaj-art-b5c75019a5de4b56ba712127904ea8762025-08-20T02:55:32ZengPublic Library of Science (PLoS)PLoS Computational Biology1553-734X1553-73582021-06-01176e100904710.1371/journal.pcbi.1009047Stochastic optimal feedforward-feedback control determines timing and variability of arm movements with or without vision.Bastien BerretAdrien ConessaNicolas SchweighoferEtienne BurdetHuman movements with or without vision exhibit timing (i.e. speed and duration) and variability characteristics which are not well captured by existing computational models. Here, we introduce a stochastic optimal feedforward-feedback control (SFFC) model that can predict the nominal timing and trial-by-trial variability of self-paced arm reaching movements carried out with or without online visual feedback of the hand. In SFFC, movement timing results from the minimization of the intrinsic factors of effort and variance due to constant and signal-dependent motor noise, and movement variability depends on the integration of visual feedback. Reaching arm movements data are used to examine the effect of online vision on movement timing and variability, and test the model. This modelling suggests that the central nervous system predicts the effects of sensorimotor noise to generate an optimal feedforward motor command, and triggers optimal feedback corrections to task-related errors based on the available limb state estimate.https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1009047&type=printable |
| spellingShingle | Bastien Berret Adrien Conessa Nicolas Schweighofer Etienne Burdet Stochastic optimal feedforward-feedback control determines timing and variability of arm movements with or without vision. PLoS Computational Biology |
| title | Stochastic optimal feedforward-feedback control determines timing and variability of arm movements with or without vision. |
| title_full | Stochastic optimal feedforward-feedback control determines timing and variability of arm movements with or without vision. |
| title_fullStr | Stochastic optimal feedforward-feedback control determines timing and variability of arm movements with or without vision. |
| title_full_unstemmed | Stochastic optimal feedforward-feedback control determines timing and variability of arm movements with or without vision. |
| title_short | Stochastic optimal feedforward-feedback control determines timing and variability of arm movements with or without vision. |
| title_sort | stochastic optimal feedforward feedback control determines timing and variability of arm movements with or without vision |
| url | https://journals.plos.org/ploscompbiol/article/file?id=10.1371/journal.pcbi.1009047&type=printable |
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