Previous motor actions outweigh sensory information in sensorimotor statistical learning
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 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.
Feulner, Barbara
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Postin, Danilo
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Schwiedrzik, Caspar M.
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Pooresmaeili, Arezoo
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19 August 2021
Feulner, Barbara
a1e074b1-32bb-4bad-84e8-e39de3c7f7b9
Postin, Danilo
bf04a6ef-8cb2-42d3-92a6-6df31e047f13
Schwiedrzik, Caspar M.
0f5768fe-5221-4a48-9415-0eb29dc388ee
Pooresmaeili, Arezoo
319b6aed-8454-4ad2-b16e-8fadfdfd2e53
Feulner, Barbara, Postin, Danilo, Schwiedrzik, Caspar M. and Pooresmaeili, Arezoo
(2021)
Previous motor actions outweigh sensory information in sensorimotor statistical learning.
eNeuro, 8 (5).
(doi:10.1523/eneuro.0032-21.2021).
Abstract
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.
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ENEURO.0032-21.2021.full
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Accepted/In Press date: 23 January 2021
Published date: 19 August 2021
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Local EPrints ID: 481595
URI: http://eprints.soton.ac.uk/id/eprint/481595
ISSN: 2373-2822
PURE UUID: 6621b00d-f51b-4e16-ab69-6169746e7ff7
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Date deposited: 04 Sep 2023 16:48
Last modified: 17 Mar 2024 04:18
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Author:
Barbara Feulner
Author:
Danilo Postin
Author:
Caspar M. Schwiedrzik
Author:
Arezoo Pooresmaeili
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