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Sensorimotor Learning in Response to Errors in Task Performance
The human sensorimotor system is sensitive to both limb-related prediction errors and task-related performance errors. Prediction error signals are believed to drive implicit refinements to motor plans. However, an understanding of the mechanisms that performance errors stimulate has remained unclea...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society for Neuroscience
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8938978/ https://www.ncbi.nlm.nih.gov/pubmed/35110383 http://dx.doi.org/10.1523/ENEURO.0371-21.2022 |
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author | Sadaphal, Dhwani P. Kumar, Adarsh Mutha, Pratik K. |
author_facet | Sadaphal, Dhwani P. Kumar, Adarsh Mutha, Pratik K. |
author_sort | Sadaphal, Dhwani P. |
collection | PubMed |
description | The human sensorimotor system is sensitive to both limb-related prediction errors and task-related performance errors. Prediction error signals are believed to drive implicit refinements to motor plans. However, an understanding of the mechanisms that performance errors stimulate has remained unclear largely because their effects have not been probed in isolation from prediction errors. Diverging from past work, we induced performance errors independent of prediction errors by shifting the location of a reach target but keeping the intended and actual kinematic consequences of the motion matched. Our first two experiments revealed that rather than implicit learning, motor adjustments in response to performance errors reflect the use of deliberative, volitional strategies. Our third experiment revealed a potential dissociation of performance-error-driven strategies based on error size. Specifically, behavioral changes following large errors were consistent with goal-directed or model-based control, known to be supported by connections between prefrontal cortex and associative striatum. In contrast, motor changes following smaller performance errors carried signatures of model-free stimulus-response learning, of the kind underpinned by pathways between motor cortical areas and sensorimotor striatum. Across all experiments, we also found remarkably faster re-learning, advocating that such “savings” is associated with retrieval of previously learned strategic error compensation and may not require a history of exposure to limb-related errors. |
format | Online Article Text |
id | pubmed-8938978 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Society for Neuroscience |
record_format | MEDLINE/PubMed |
spelling | pubmed-89389782022-03-29 Sensorimotor Learning in Response to Errors in Task Performance Sadaphal, Dhwani P. Kumar, Adarsh Mutha, Pratik K. eNeuro Research Article: New Research The human sensorimotor system is sensitive to both limb-related prediction errors and task-related performance errors. Prediction error signals are believed to drive implicit refinements to motor plans. However, an understanding of the mechanisms that performance errors stimulate has remained unclear largely because their effects have not been probed in isolation from prediction errors. Diverging from past work, we induced performance errors independent of prediction errors by shifting the location of a reach target but keeping the intended and actual kinematic consequences of the motion matched. Our first two experiments revealed that rather than implicit learning, motor adjustments in response to performance errors reflect the use of deliberative, volitional strategies. Our third experiment revealed a potential dissociation of performance-error-driven strategies based on error size. Specifically, behavioral changes following large errors were consistent with goal-directed or model-based control, known to be supported by connections between prefrontal cortex and associative striatum. In contrast, motor changes following smaller performance errors carried signatures of model-free stimulus-response learning, of the kind underpinned by pathways between motor cortical areas and sensorimotor striatum. Across all experiments, we also found remarkably faster re-learning, advocating that such “savings” is associated with retrieval of previously learned strategic error compensation and may not require a history of exposure to limb-related errors. Society for Neuroscience 2022-03-16 /pmc/articles/PMC8938978/ /pubmed/35110383 http://dx.doi.org/10.1523/ENEURO.0371-21.2022 Text en Copyright © 2022 Sadaphal et al. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution and reproduction in any medium provided that the original work is properly attributed. |
spellingShingle | Research Article: New Research Sadaphal, Dhwani P. Kumar, Adarsh Mutha, Pratik K. Sensorimotor Learning in Response to Errors in Task Performance |
title | Sensorimotor Learning in Response to Errors in Task Performance |
title_full | Sensorimotor Learning in Response to Errors in Task Performance |
title_fullStr | Sensorimotor Learning in Response to Errors in Task Performance |
title_full_unstemmed | Sensorimotor Learning in Response to Errors in Task Performance |
title_short | Sensorimotor Learning in Response to Errors in Task Performance |
title_sort | sensorimotor learning in response to errors in task performance |
topic | Research Article: New Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8938978/ https://www.ncbi.nlm.nih.gov/pubmed/35110383 http://dx.doi.org/10.1523/ENEURO.0371-21.2022 |
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