An evolutionary account of intermodality differences in statistical learning

Issue Online: 19 February 2021

Detalles Bibliográficos
Autores: Ordin, Mikhail, Polyanskaya, Leona, Samuel, Arthur G.
Tipo de recurso: artículo
Fecha de publicación:2021
País:España
Institución:Universidad del País Vasco
Repositorio:Addi. Archivo Digital para la Docencia y la Investigación
OAI Identifier:oai:addi.ehu.eus:10810/50271
Acceso en línea:http://hdl.handle.net/10810/50271
Access Level:acceso abierto
Palabra clave:statistical learning
segmentation of the sensory input
evolutionary adaptation of cognitive mechanisms
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spelling An evolutionary account of intermodality differences in statistical learningOrdin, MikhailPolyanskaya, LeonaSamuel, Arthur G.statistical learningsegmentation of the sensory inputevolutionary adaptation of cognitive mechanismsIssue Online: 19 February 2021The cognitive mechanisms underlying statistical learning are engaged for the purposes of speech processing and language acquisition. However, these mechanisms are shared by a wide variety of species that do not possess the language faculty.Moreover, statistical learning operates across domains, including nonlinguistic material. Ancient mechanisms for segmenting continuous sensory input into discrete constituents have evolved for general-purpose segmentation of the environment and been readopted for processing linguistic input. Linguistic input provides a rich set of cues for the boundaries between sequential constituents. Such input engages a wider variety of more specializedmechanisms operating on these language-specific cues, thus potentially reducing the role of conditional statistics in tokenizing a continuous linguistic stream. We provide an explicit within-subject comparison of the utility of statistical learning in language versus nonlanguage domains across the visual and auditorymodalities. The results showed that in the auditory modality statistical learning ismore efficient with speech-like input, while in the visual modality efficiency is higher with nonlanguage input.We suggest that the speech faculty has been important for individual fitness for an extended period, leading to the adaptation of statistical learningmechanisms for speech processing. This is not the case in the visual modality, in which linguistic material presents a less ecological type of sensory input.H2020 Marie Skłodowska‐Curie Actions. Grant Number: DLV‐79233 Secretaría de Estado de Investigación, Desarrollo e Innovación. Grant Numbers: PSI2017‐82563‐P, RTI2018‐098317‐B‐100Wiley202120212021info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10810/50271reponame:Addi. Archivo Digital para la Docencia y la Investigacióninstname:Universidad del País VascoInglésinfo:eu-repo/grantAgreement/EC/H2020/MSCinfo:eu-repo/grantAgreement/MINECO/PSI2017‐82563‐P/info:eu-repo/grantAgreement/MINECO/RTI2018‐098317‐B‐100/https://nyaspubs.onlinelibrary.wiley.com/journal/17496632info:eu-repo/semantics/openAccess© 2020 New York Academy of Sciencesoai:addi.ehu.eus:10810/502712026-06-18T09:23:17Z
dc.title.none.fl_str_mv An evolutionary account of intermodality differences in statistical learning
title An evolutionary account of intermodality differences in statistical learning
spellingShingle An evolutionary account of intermodality differences in statistical learning
Ordin, Mikhail
statistical learning
segmentation of the sensory input
evolutionary adaptation of cognitive mechanisms
title_short An evolutionary account of intermodality differences in statistical learning
title_full An evolutionary account of intermodality differences in statistical learning
title_fullStr An evolutionary account of intermodality differences in statistical learning
title_full_unstemmed An evolutionary account of intermodality differences in statistical learning
title_sort An evolutionary account of intermodality differences in statistical learning
dc.creator.none.fl_str_mv Ordin, Mikhail
Polyanskaya, Leona
Samuel, Arthur G.
author Ordin, Mikhail
author_facet Ordin, Mikhail
Polyanskaya, Leona
Samuel, Arthur G.
author_role author
author2 Polyanskaya, Leona
Samuel, Arthur G.
author2_role author
author
dc.subject.none.fl_str_mv statistical learning
segmentation of the sensory input
evolutionary adaptation of cognitive mechanisms
topic statistical learning
segmentation of the sensory input
evolutionary adaptation of cognitive mechanisms
description Issue Online: 19 February 2021
publishDate 2021
dc.date.none.fl_str_mv 2021
2021
2021
dc.type.none.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10810/50271
url http://hdl.handle.net/10810/50271
dc.language.none.fl_str_mv Inglés
language_invalid_str_mv Inglés
dc.relation.none.fl_str_mv info:eu-repo/grantAgreement/EC/H2020/MSC
info:eu-repo/grantAgreement/MINECO/PSI2017‐82563‐P/
info:eu-repo/grantAgreement/MINECO/RTI2018‐098317‐B‐100/
https://nyaspubs.onlinelibrary.wiley.com/journal/17496632
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
© 2020 New York Academy of Sciences
eu_rights_str_mv openAccess
rights_invalid_str_mv © 2020 New York Academy of Sciences
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Wiley
publisher.none.fl_str_mv Wiley
dc.source.none.fl_str_mv reponame:Addi. Archivo Digital para la Docencia y la Investigación
instname:Universidad del País Vasco
instname_str Universidad del País Vasco
reponame_str Addi. Archivo Digital para la Docencia y la Investigación
collection Addi. Archivo Digital para la Docencia y la Investigación
repository.name.fl_str_mv
repository.mail.fl_str_mv
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