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Focal versus distributed temporal cortex activity for speech sound category assignment
Percepts and words can be decoded from distributed neural activity measures. However, the existence of widespread representations might conflict with the more classical notions of hierarchical processing and efficient coding, which are especially relevant in speech processing. Using fMRI and magneto...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
National Academy of Sciences
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5819402/ https://www.ncbi.nlm.nih.gov/pubmed/29363598 http://dx.doi.org/10.1073/pnas.1714279115 |
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author | Bouton, Sophie Chambon, Valérian Tyrand, Rémi Guggisberg, Adrian G. Seeck, Margitta Karkar, Sami van de Ville, Dimitri Giraud, Anne-Lise |
author_facet | Bouton, Sophie Chambon, Valérian Tyrand, Rémi Guggisberg, Adrian G. Seeck, Margitta Karkar, Sami van de Ville, Dimitri Giraud, Anne-Lise |
author_sort | Bouton, Sophie |
collection | PubMed |
description | Percepts and words can be decoded from distributed neural activity measures. However, the existence of widespread representations might conflict with the more classical notions of hierarchical processing and efficient coding, which are especially relevant in speech processing. Using fMRI and magnetoencephalography during syllable identification, we show that sensory and decisional activity colocalize to a restricted part of the posterior superior temporal gyrus (pSTG). Next, using intracortical recordings, we demonstrate that early and focal neural activity in this region distinguishes correct from incorrect decisions and can be machine-decoded to classify syllables. Crucially, significant machine decoding was possible from neuronal activity sampled across different regions of the temporal and frontal lobes, despite weak or absent sensory or decision-related responses. These findings show that speech-sound categorization relies on an efficient readout of focal pSTG neural activity, while more distributed activity patterns, although classifiable by machine learning, instead reflect collateral processes of sensory perception and decision. |
format | Online Article Text |
id | pubmed-5819402 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | National Academy of Sciences |
record_format | MEDLINE/PubMed |
spelling | pubmed-58194022018-02-21 Focal versus distributed temporal cortex activity for speech sound category assignment Bouton, Sophie Chambon, Valérian Tyrand, Rémi Guggisberg, Adrian G. Seeck, Margitta Karkar, Sami van de Ville, Dimitri Giraud, Anne-Lise Proc Natl Acad Sci U S A PNAS Plus Percepts and words can be decoded from distributed neural activity measures. However, the existence of widespread representations might conflict with the more classical notions of hierarchical processing and efficient coding, which are especially relevant in speech processing. Using fMRI and magnetoencephalography during syllable identification, we show that sensory and decisional activity colocalize to a restricted part of the posterior superior temporal gyrus (pSTG). Next, using intracortical recordings, we demonstrate that early and focal neural activity in this region distinguishes correct from incorrect decisions and can be machine-decoded to classify syllables. Crucially, significant machine decoding was possible from neuronal activity sampled across different regions of the temporal and frontal lobes, despite weak or absent sensory or decision-related responses. These findings show that speech-sound categorization relies on an efficient readout of focal pSTG neural activity, while more distributed activity patterns, although classifiable by machine learning, instead reflect collateral processes of sensory perception and decision. National Academy of Sciences 2018-02-06 2018-01-23 /pmc/articles/PMC5819402/ /pubmed/29363598 http://dx.doi.org/10.1073/pnas.1714279115 Text en Copyright © 2018 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) . |
spellingShingle | PNAS Plus Bouton, Sophie Chambon, Valérian Tyrand, Rémi Guggisberg, Adrian G. Seeck, Margitta Karkar, Sami van de Ville, Dimitri Giraud, Anne-Lise Focal versus distributed temporal cortex activity for speech sound category assignment |
title | Focal versus distributed temporal cortex activity for speech sound category assignment |
title_full | Focal versus distributed temporal cortex activity for speech sound category assignment |
title_fullStr | Focal versus distributed temporal cortex activity for speech sound category assignment |
title_full_unstemmed | Focal versus distributed temporal cortex activity for speech sound category assignment |
title_short | Focal versus distributed temporal cortex activity for speech sound category assignment |
title_sort | focal versus distributed temporal cortex activity for speech sound category assignment |
topic | PNAS Plus |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5819402/ https://www.ncbi.nlm.nih.gov/pubmed/29363598 http://dx.doi.org/10.1073/pnas.1714279115 |
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