Itemaren erregistro erraza erakusten du
An evolutionary account of intermodality differences in statistical learning
dc.contributor.author | Ordin, Mikhail | |
dc.contributor.author | Polyanskaya, Leona | |
dc.contributor.author | Samuel, Arthur G. | |
dc.date.accessioned | 2021-02-23T09:24:04Z | |
dc.date.available | 2021-02-23T09:24:04Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Ordin, M., Polyanskaya, L. and Samuel, A.G. (2021), An evolutionary account of intermodality differences in statistical learning. Ann. N.Y. Acad. Sci., 1486: 76-89. https://doi.org/10.1111/nyas.14502 | es_ES |
dc.identifier.issn | 0077-8923 | |
dc.identifier.uri | http://hdl.handle.net/10810/50271 | |
dc.description | Issue Online: 19 February 2021 | es_ES |
dc.description.abstract | The 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. | es_ES |
dc.description.sponsorship | 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‐100 | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Wiley | es_ES |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/MSC/DLV‐792331 | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/PSI2017‐82563‐P | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/RTI2018‐098317‐B‐100 | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.subject | statistical learning | es_ES |
dc.subject | segmentation of the sensory input | es_ES |
dc.subject | evolutionary adaptation of cognitive mechanisms | es_ES |
dc.title | An evolutionary account of intermodality differences in statistical learning | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | © 2020 New York Academy of Sciences | es_ES |
dc.relation.publisherversion | https://nyaspubs.onlinelibrary.wiley.com/journal/17496632 | es_ES |
dc.identifier.doi | 10.1111/nyas.14502 |