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Combining predictive coding and neural oscillations enables online syllable recognition in natural speech

On-line comprehension of natural speech requires segmenting the acoustic stream into discrete linguistic elements. This process is argued to rely on theta-gamma oscillation coupling, which can parse syllables and encode them in decipherable neural activity. Speech comprehension also strongly depends...

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Détails bibliographiques
Publié dans:Nat Commun
Auteurs principaux: Hovsepyan, Sevada, Olasagasti, Itsaso, Giraud, Anne-Lise
Format: Artigo
Langue:Inglês
Publié: Nature Publishing Group UK 2020
Sujets:
Accès en ligne:https://ncbi.nlm.nih.gov/pmc/articles/PMC7305192/
https://ncbi.nlm.nih.gov/pubmed/32561726
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1038/s41467-020-16956-5
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