Not all words are equally acquired: Transitional probabilities and instructions affect the electrophysiological correlates of statistical learning

Bibliographic Details
Main Author: Soares, Ana Paula
Publication Date: 2020
Other Authors: Gutiérrez-Domínguez, Francisco-Javier, Vasconcelos, Margarida, Oliveira, Helena M., Tomé, David, Jiménez, Luís
Format: Article
Language: eng
Source: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Download full: http://hdl.handle.net/10400.22/16629
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spelling Not all words are equally acquired: Transitional probabilities and instructions affect the electrophysiological correlates of statistical learningStatistical learningTransitional probabilitiesImplicit learningExposure timeElectrophysiological correlatesWord segmentationArtificial languageRepositório Científico do Instituto Politécnico do PortoSoares, Ana PaulaGutiérrez-Domínguez, Francisco-JavierVasconcelos, MargaridaOliveira, Helena M.Tomé, DavidJiménez, Luís2021-01-04T10:49:46Z20202020-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10400.22/16629engSoares, A. P., Gutiérrez-Domínguez, F.-J., Vasconcelos, M., Oliveira, H. M., Tomé, D., & Jiménez, L. (2020, 2020-September-23). Not All Words Are Equally Acquired: Transitional Probabilities and Instructions Affect the Electrophysiological Correlates of Statistical Learning [Original Research]. Frontiers in Human Neuroscience, 14(387). https://doi.org/10.3389/fnhum.2020.57799110.3389/fnhum.2020.577991info:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-03-13T13:03:42Zoai:recipp.ipp.pt:10400.22/16629Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T17:36:11.996506Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Not all words are equally acquired: Transitional probabilities and instructions affect the electrophysiological correlates of statistical learning
title Not all words are equally acquired: Transitional probabilities and instructions affect the electrophysiological correlates of statistical learning
spellingShingle Not all words are equally acquired: Transitional probabilities and instructions affect the electrophysiological correlates of statistical learning
Soares, Ana Paula
Statistical learning
Transitional probabilities
Implicit learning
Exposure time
Electrophysiological correlates
Word segmentation
Artificial language
title_short Not all words are equally acquired: Transitional probabilities and instructions affect the electrophysiological correlates of statistical learning
title_full Not all words are equally acquired: Transitional probabilities and instructions affect the electrophysiological correlates of statistical learning
title_fullStr Not all words are equally acquired: Transitional probabilities and instructions affect the electrophysiological correlates of statistical learning
title_full_unstemmed Not all words are equally acquired: Transitional probabilities and instructions affect the electrophysiological correlates of statistical learning
title_sort Not all words are equally acquired: Transitional probabilities and instructions affect the electrophysiological correlates of statistical learning
author Soares, Ana Paula
author_facet Soares, Ana Paula
Gutiérrez-Domínguez, Francisco-Javier
Vasconcelos, Margarida
Oliveira, Helena M.
Tomé, David
Jiménez, Luís
author_role author
author2 Gutiérrez-Domínguez, Francisco-Javier
Vasconcelos, Margarida
Oliveira, Helena M.
Tomé, David
Jiménez, Luís
author2_role author
author
author
author
author
dc.contributor.none.fl_str_mv Repositório Científico do Instituto Politécnico do Porto
dc.contributor.author.fl_str_mv Soares, Ana Paula
Gutiérrez-Domínguez, Francisco-Javier
Vasconcelos, Margarida
Oliveira, Helena M.
Tomé, David
Jiménez, Luís
dc.subject.por.fl_str_mv Statistical learning
Transitional probabilities
Implicit learning
Exposure time
Electrophysiological correlates
Word segmentation
Artificial language
topic Statistical learning
Transitional probabilities
Implicit learning
Exposure time
Electrophysiological correlates
Word segmentation
Artificial language
publishDate 2020
dc.date.none.fl_str_mv 2020
2020-01-01T00:00:00Z
2021-01-04T10:49:46Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10400.22/16629
url http://hdl.handle.net/10400.22/16629
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Soares, A. P., Gutiérrez-Domínguez, F.-J., Vasconcelos, M., Oliveira, H. M., Tomé, D., & Jiménez, L. (2020, 2020-September-23). Not All Words Are Equally Acquired: Transitional Probabilities and Instructions Affect the Electrophysiological Correlates of Statistical Learning [Original Research]. Frontiers in Human Neuroscience, 14(387). https://doi.org/10.3389/fnhum.2020.577991
10.3389/fnhum.2020.577991
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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