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

The authors present a model to parse and recognise syllables on-line in natural speech sentences that combine predictive coding and neural oscillations. They use simulations from different versions of the model to establish the importance of both theta-gamma coupling and the reset of accumulated evi...

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Autores principales:	Sevada Hovsepyan, Itsaso Olasagasti, Anne-Lise Giraud
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2020
Materias:	Science Q
Acceso en línea:	https://doaj.org/article/bb4efecc87414a518c7fadf28ade739e
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spelling	oai:doaj.org-article:bb4efecc87414a518c7fadf28ade739e2021-12-02T16:04:25ZCombining predictive coding and neural oscillations enables online syllable recognition in natural speech10.1038/s41467-020-16956-52041-1723https://doaj.org/article/bb4efecc87414a518c7fadf28ade739e2020-06-01T00:00:00Zhttps://doi.org/10.1038/s41467-020-16956-5https://doaj.org/toc/2041-1723The authors present a model to parse and recognise syllables on-line in natural speech sentences that combine predictive coding and neural oscillations. They use simulations from different versions of the model to establish the importance of both theta-gamma coupling and the reset of accumulated evidence in continuous speech processing.Sevada HovsepyanItsaso OlasagastiAnne-Lise GiraudNature PortfolioarticleScienceQENNature Communications, Vol 11, Iss 1, Pp 1-12 (2020)
institution	DOAJ
collection	DOAJ
language	EN
topic	Science Q
spellingShingle	Science Q Sevada Hovsepyan Itsaso Olasagasti Anne-Lise Giraud Combining predictive coding and neural oscillations enables online syllable recognition in natural speech
description	The authors present a model to parse and recognise syllables on-line in natural speech sentences that combine predictive coding and neural oscillations. They use simulations from different versions of the model to establish the importance of both theta-gamma coupling and the reset of accumulated evidence in continuous speech processing.
format	article
author	Sevada Hovsepyan Itsaso Olasagasti Anne-Lise Giraud
author_facet	Sevada Hovsepyan Itsaso Olasagasti Anne-Lise Giraud
author_sort	Sevada Hovsepyan
title	Combining predictive coding and neural oscillations enables online syllable recognition in natural speech
title_short	Combining predictive coding and neural oscillations enables online syllable recognition in natural speech
title_full	Combining predictive coding and neural oscillations enables online syllable recognition in natural speech
title_fullStr	Combining predictive coding and neural oscillations enables online syllable recognition in natural speech
title_full_unstemmed	Combining predictive coding and neural oscillations enables online syllable recognition in natural speech
title_sort	combining predictive coding and neural oscillations enables online syllable recognition in natural speech
publisher	Nature Portfolio
publishDate	2020
url	https://doaj.org/article/bb4efecc87414a518c7fadf28ade739e
work_keys_str_mv	AT sevadahovsepyan combiningpredictivecodingandneuraloscillationsenablesonlinesyllablerecognitioninnaturalspeech AT itsasoolasagasti combiningpredictivecodingandneuraloscillationsenablesonlinesyllablerecognitioninnaturalspeech AT annelisegiraud combiningpredictivecodingandneuraloscillationsenablesonlinesyllablerecognitioninnaturalspeech
_version_	1718385229582827520

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

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