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Rapid computations of spectrotemporal prediction error support perception of degraded speech

Human speech perception can be described as Bayesian perceptual inference but how are these Bayesian computations instantiated neurally? We used magnetoencephalographic recordings of brain responses to degraded spoken words and experimentally manipulated signal quality and prior knowledge. We first...

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Detalles Bibliográficos
Autores principales: Sohoglu, Ediz, Davis, Matthew H
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7641582/
https://www.ncbi.nlm.nih.gov/pubmed/33147138
http://dx.doi.org/10.7554/eLife.58077
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author Sohoglu, Ediz
Davis, Matthew H
author_facet Sohoglu, Ediz
Davis, Matthew H
author_sort Sohoglu, Ediz
collection PubMed
description Human speech perception can be described as Bayesian perceptual inference but how are these Bayesian computations instantiated neurally? We used magnetoencephalographic recordings of brain responses to degraded spoken words and experimentally manipulated signal quality and prior knowledge. We first demonstrate that spectrotemporal modulations in speech are more strongly represented in neural responses than alternative speech representations (e.g. spectrogram or articulatory features). Critically, we found an interaction between speech signal quality and expectations from prior written text on the quality of neural representations; increased signal quality enhanced neural representations of speech that mismatched with prior expectations, but led to greater suppression of speech that matched prior expectations. This interaction is a unique neural signature of prediction error computations and is apparent in neural responses within 100 ms of speech input. Our findings contribute to the detailed specification of a computational model of speech perception based on predictive coding frameworks.
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spelling pubmed-76415822020-11-05 Rapid computations of spectrotemporal prediction error support perception of degraded speech Sohoglu, Ediz Davis, Matthew H eLife Neuroscience Human speech perception can be described as Bayesian perceptual inference but how are these Bayesian computations instantiated neurally? We used magnetoencephalographic recordings of brain responses to degraded spoken words and experimentally manipulated signal quality and prior knowledge. We first demonstrate that spectrotemporal modulations in speech are more strongly represented in neural responses than alternative speech representations (e.g. spectrogram or articulatory features). Critically, we found an interaction between speech signal quality and expectations from prior written text on the quality of neural representations; increased signal quality enhanced neural representations of speech that mismatched with prior expectations, but led to greater suppression of speech that matched prior expectations. This interaction is a unique neural signature of prediction error computations and is apparent in neural responses within 100 ms of speech input. Our findings contribute to the detailed specification of a computational model of speech perception based on predictive coding frameworks. eLife Sciences Publications, Ltd 2020-11-04 /pmc/articles/PMC7641582/ /pubmed/33147138 http://dx.doi.org/10.7554/eLife.58077 Text en © 2020, Sohoglu and Davis https://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Neuroscience
Sohoglu, Ediz
Davis, Matthew H
Rapid computations of spectrotemporal prediction error support perception of degraded speech
title Rapid computations of spectrotemporal prediction error support perception of degraded speech
title_full Rapid computations of spectrotemporal prediction error support perception of degraded speech
title_fullStr Rapid computations of spectrotemporal prediction error support perception of degraded speech
title_full_unstemmed Rapid computations of spectrotemporal prediction error support perception of degraded speech
title_short Rapid computations of spectrotemporal prediction error support perception of degraded speech
title_sort rapid computations of spectrotemporal prediction error support perception of degraded speech
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7641582/
https://www.ncbi.nlm.nih.gov/pubmed/33147138
http://dx.doi.org/10.7554/eLife.58077
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