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Previous Motor Actions Outweigh Sensory Information in Sensorimotor Statistical Learning
Humans can use their previous experience in form of statistical priors to improve decisions. It is, however, unclear how such priors are learned and represented. Importantly, it has remained elusive whether prior learning is independent of the sensorimotor system involved in the learning process or...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Society for Neuroscience
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8482855/ https://www.ncbi.nlm.nih.gov/pubmed/34413084 http://dx.doi.org/10.1523/ENEURO.0032-21.2021 |
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author | Feulner, Barbara Postin, Danilo Schwiedrzik, Caspar M. Pooresmaeili, Arezoo |
author_facet | Feulner, Barbara Postin, Danilo Schwiedrzik, Caspar M. Pooresmaeili, Arezoo |
author_sort | Feulner, Barbara |
collection | PubMed |
description | Humans can use their previous experience in form of statistical priors to improve decisions. It is, however, unclear how such priors are learned and represented. Importantly, it has remained elusive whether prior learning is independent of the sensorimotor system involved in the learning process or not, as both modality-specific and modality-general learning have been reported in the past. Here, we used a saccadic eye movement task to probe the learning and representation of a spatial prior across a few trials. In this task, learning occurs in an unsupervised manner and through encountering trial-by-trial visual hints drawn from a distribution centered on the target location. Using a model-comparison approach, we found that participants’ prior knowledge is largely represented in the form of their previous motor actions, with minimal influence from the previously seen visual hints. By using two different motor contexts for response (looking either at the estimated target location, or exactly opposite to it), we could further compare whether prior experience obtained in one motor context can be transferred to the other. Although learning curves were highly similar, and participants seemed to use the same strategy for both response types, they could not fully transfer their knowledge between contexts, as performance and confidence ratings dropped after a switch of the required response. Together, our results suggest that humans preferably use the internal representations of their previous motor actions, rather than past incoming sensory information, to form statistical sensorimotor priors on the timescale of a few trials. |
format | Online Article Text |
id | pubmed-8482855 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Society for Neuroscience |
record_format | MEDLINE/PubMed |
spelling | pubmed-84828552021-10-01 Previous Motor Actions Outweigh Sensory Information in Sensorimotor Statistical Learning Feulner, Barbara Postin, Danilo Schwiedrzik, Caspar M. Pooresmaeili, Arezoo eNeuro Research Article: New Research Humans can use their previous experience in form of statistical priors to improve decisions. It is, however, unclear how such priors are learned and represented. Importantly, it has remained elusive whether prior learning is independent of the sensorimotor system involved in the learning process or not, as both modality-specific and modality-general learning have been reported in the past. Here, we used a saccadic eye movement task to probe the learning and representation of a spatial prior across a few trials. In this task, learning occurs in an unsupervised manner and through encountering trial-by-trial visual hints drawn from a distribution centered on the target location. Using a model-comparison approach, we found that participants’ prior knowledge is largely represented in the form of their previous motor actions, with minimal influence from the previously seen visual hints. By using two different motor contexts for response (looking either at the estimated target location, or exactly opposite to it), we could further compare whether prior experience obtained in one motor context can be transferred to the other. Although learning curves were highly similar, and participants seemed to use the same strategy for both response types, they could not fully transfer their knowledge between contexts, as performance and confidence ratings dropped after a switch of the required response. Together, our results suggest that humans preferably use the internal representations of their previous motor actions, rather than past incoming sensory information, to form statistical sensorimotor priors on the timescale of a few trials. Society for Neuroscience 2021-09-28 /pmc/articles/PMC8482855/ /pubmed/34413084 http://dx.doi.org/10.1523/ENEURO.0032-21.2021 Text en Copyright © 2021 Feulner 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 Feulner, Barbara Postin, Danilo Schwiedrzik, Caspar M. Pooresmaeili, Arezoo Previous Motor Actions Outweigh Sensory Information in Sensorimotor Statistical Learning |
title | Previous Motor Actions Outweigh Sensory Information in Sensorimotor Statistical Learning |
title_full | Previous Motor Actions Outweigh Sensory Information in Sensorimotor Statistical Learning |
title_fullStr | Previous Motor Actions Outweigh Sensory Information in Sensorimotor Statistical Learning |
title_full_unstemmed | Previous Motor Actions Outweigh Sensory Information in Sensorimotor Statistical Learning |
title_short | Previous Motor Actions Outweigh Sensory Information in Sensorimotor Statistical Learning |
title_sort | previous motor actions outweigh sensory information in sensorimotor statistical learning |
topic | Research Article: New Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8482855/ https://www.ncbi.nlm.nih.gov/pubmed/34413084 http://dx.doi.org/10.1523/ENEURO.0032-21.2021 |
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