Previous Motor Actions Outweigh Sensory Information in Sensorimotor Statistical Learning.
learning
prior
probabilistic
representation
saccade
sensorimotor
Journal
eNeuro
ISSN: 2373-2822
Titre abrégé: eNeuro
Pays: United States
ID NLM: 101647362
Informations de publication
Date de publication:
Historique:
received:
25
01
2021
revised:
21
06
2021
accepted:
23
06
2021
pubmed:
21
8
2021
medline:
21
10
2021
entrez:
20
8
2021
Statut:
epublish
Résumé
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.
Identifiants
pubmed: 34413084
pii: ENEURO.0032-21.2021
doi: 10.1523/ENEURO.0032-21.2021
pmc: PMC8482855
pii:
doi:
Types de publication
Journal Article
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Informations de copyright
Copyright © 2021 Feulner et al.
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