Please use this identifier to cite or link to this item:
http://hdl.handle.net/2445/181217
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Orpella, Joan | - |
dc.contributor.author | Mas-Herrero, Ernest | - |
dc.contributor.author | Ripollés, Pablo | - |
dc.contributor.author | Marco Pallarés, Josep | - |
dc.contributor.author | Diego Balaguer, Ruth de | - |
dc.date.accessioned | 2021-11-11T15:31:09Z | - |
dc.date.available | 2021-11-11T15:31:09Z | - |
dc.date.issued | 2021-09-07 | - |
dc.identifier.issn | 1544-9173 | - |
dc.identifier.uri | http://hdl.handle.net/2445/181217 | - |
dc.description.abstract | Statistical learning (SL) is the ability to extract regularities from the environment. In the domain of language, this ability is fundamental in the learning of words and structural rules. In lack of reliable online measures, statistical word and rule learning have been primarily investigated using offline (post-familiarization) tests, which gives limited insights into the dynamics of SL and its neural basis. Here, we capitalize on a novel task that tracks the online SL of simple syntactic structures combined with computational modeling to show that online SL responds to reinforcement learning principles rooted in striatal function. Specifically, we demonstrate-on 2 different cohorts-that a temporal difference model, which relies on prediction errors, accounts for participants' online learning behavior. We then show that the trial-by-trial development of predictions through learning strongly correlates with activity in both ventral and dorsal striatum. Our results thus provide a detailed mechanistic account of language-related SL and an explanation for the oft-cited implication of the striatum in SL tasks. This work, therefore, bridges the long-standing gap between language learning and reinforcement learning phenomena. | - |
dc.format.extent | 23 p. | - |
dc.format.mimetype | application/pdf | - |
dc.language.iso | eng | - |
dc.publisher | Public Library of Science (PLoS) | - |
dc.relation.isformatof | Reproducció del document publicat a: https://doi.org/10.1371/journal.pbio.3001119 | - |
dc.relation.ispartof | PLoS Biology, 2021, vol. 19, num. 9, p. e3001119 | - |
dc.relation.uri | https://doi.org/10.1371/journal.pbio.3001119 | - |
dc.rights | cc-by (c) Orpella, Joan et al., 2021 | - |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | - |
dc.source | Articles publicats en revistes (Cognició, Desenvolupament i Psicologia de l'Educació) | - |
dc.subject.classification | Aprenentatge automàtic | - |
dc.subject.classification | Cervell | - |
dc.subject.classification | Imatges per ressonància magnètica | - |
dc.subject.classification | Psicolingüística | - |
dc.subject.other | Machine learning | - |
dc.subject.other | Brain | - |
dc.subject.other | Magnetic resonance imaging | - |
dc.subject.other | Psycholinguistics | - |
dc.title | Language statistical learning responds to reinforcement learning principles rooted in the striatum | - |
dc.type | info:eu-repo/semantics/article | - |
dc.type | info:eu-repo/semantics/publishedVersion | - |
dc.identifier.idgrec | 715251 | - |
dc.date.updated | 2021-11-11T15:31:09Z | - |
dc.relation.projectID | info:eu-repo/grantAgreement/EC/H2020/847648/EU//JUNIOR LEADER | - |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | - |
dc.identifier.pmid | 34491980 | - |
Appears in Collections: | Articles publicats en revistes (Cognició, Desenvolupament i Psicologia de l'Educació) Articles publicats en revistes (Institut d'lnvestigació Biomèdica de Bellvitge (IDIBELL)) |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
715251.pdf | 1.75 MB | Adobe PDF | View/Open |
This item is licensed under a
Creative Commons License