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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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| Publicado en: | Nat Commun |
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| Autores principales: | , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Nature Publishing Group UK
2020
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| Materias: | |
| Acceso en línea: | 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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