dc.contributor.author | Sheikh, Usman Ayub | |
dc.contributor.author | Carreiras, Manuel | |
dc.contributor.author | Soto, David | |
dc.date.accessioned | 2021-03-02T14:12:34Z | |
dc.date.available | 2021-03-02T14:12:34Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Usman Ayub Sheikh, Manuel Carreiras, David Soto, Neurocognitive mechanisms supporting the generalization of concepts across languages, Neuropsychologia, Volume 153, 2021, 107740, ISSN 0028-3932, https://doi.org/10.1016/j.neuropsychologia.2020.107740 | es_ES |
dc.identifier.issn | 0028-3932 | |
dc.identifier.uri | http://hdl.handle.net/10810/50423 | |
dc.description | Available online 31 December 2020. | es_ES |
dc.description.abstract | The neurocognitive mechanisms that support the generalization of semantic representations across different
languages remain to be determined. Current psycholinguistic models propose that semantic representations are
likely to overlap across languages, although there is evidence also to the contrary. Neuroimaging studies
observed that brain activity patterns associated with the meaning of words may be similar across languages.
However, the factors that mediate cross-language generalization of semantic representations are not known. We
here identify a key factor: the depth of processing. Human participants were asked to process visual words as
they underwent functional MRI. We found that, during shallow processing, multivariate pattern classifiers could
decode the word semantic category within each language in putative substrates of the semantic network, but
there was no evidence of cross-language generalization in the shallow processing context. By contrast, when the
depth of processing was higher, significant cross-language generalization was observed in several regions,
including inferior parietal, ventromedial, lateral temporal, and inferior frontal cortex. These results are in
keeping with distributed-only views of semantic processing and favour models based on multiple semantic hubs.
The results also have ramifications for existing psycholinguistic models of word processing such as the BIA+,
which by default assumes non-selective access to both native and second languages | es_ES |
dc.description.sponsorship | D.S. acknowledges support from the Basque Government through the BERC 2018–2021 program, from the Spanish Ministry of Economy and Competitiveness, through the ’Severo Ochoa’ Programme for Centres/Units of Excellence in R&D (SEV-2015-490) and also from project grants PSI2016-76443-P from MINECO and PI-2017-25 from the Basque Government. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | Neuropsychologia | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/SEV-2015-0490 | es_ES |
dc.relation | info:eu-repo/grantAgreement/MINECO/PSI2016-76443-P | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.subject | Semantic representation | es_ES |
dc.subject | Bilingualism | es_ES |
dc.subject | Language | es_ES |
dc.subject | Machine learning | es_ES |
dc.title | Neurocognitive mechanisms supporting the generalization of concepts across languages | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | © 2021 Elsevier Ltd. All rights reserved. | es_ES |
dc.relation.publisherversion | https://www.sciencedirect.com/journal/neuropsychologia | es_ES |
dc.identifier.doi | 10.1016/j.neuropsychologia.2020.107740 | |