Expectation and attention in hierarchical auditory prediction

Autores
Chennu, Srivas; Noreika, Valdas; Gueorguiev, David; Blenkmann, Alejandro Omar; Kochen, Sara Silvia; Ibanez Barassi, Agustin Mariano; Owen, Adrian M.; Bekinschtein, Tristán Andrés
Año de publicación
2013
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Hierarchical predictive coding suggests that attention in humans emerges from increased precision in probabilistic inference, whereas expectation biases attention in favor of contextually anticipated stimuli. We test these notions within auditory perception by independently manipulating top-down expectation and attentional precision alongside bottom-up stimulus predictability. Our findings support an integrative interpretation of commonly observed electrophysiological signatures of neurodynamics, namely mismatch negativity (MMN), P300, and contingent negative variation (CNV), as manifestations along successive levels of predictive complexity. Early first-level processing indexed by the MMN was sensitive to stimulus predictability: here, attentional precision enhanced early responses, but explicit top-down expectation diminished it. This pattern was in contrast to later, second-level processing indexed by the P300: although sensitive to the degree of predictability, responses at this level were contingent on attentional engagement and in fact sharpened by top-down expectation. At the highest level, the drift of the CNV was a fine-grained marker of top-down expectation itself. Source reconstruction of high-density EEG, supported by intracranial recordings, implicated temporal and frontal regions differentially active at early and late levels. The cortical generators of the CNV suggested that it might be involved in facilitating the consolidation of context-salient stimuli into conscious perception. These results provide convergent empirical support to promising recent accounts of attention and expectation in predictive coding.
Fil: Chennu, Srivas. University of Cambridge; Reino Unido
Fil: Noreika, Valdas. Medical Research Council Cognition; Reino Unido
Fil: Gueorguiev, David. Medical Research Council Cognition; Reino Unido
Fil: Blenkmann, Alejandro Omar. Gobierno de la Ciudad de Buenos Aires. Hospital General de Agudos "Ramos Mejía"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Kochen, Sara Silvia. Gobierno de la Ciudad de Buenos Aires. Hospital General de Agudos "Ramos Mejía"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Ibanez Barassi, Agustin Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional; Argentina. Universidad Diego Portales; Chile
Fil: Owen, Adrian M.. University of Western Ontario; Canadá
Fil: Bekinschtein, Tristán Andrés. University of Cambridge; Reino Unido. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional; Argentina
Materia
EXPECTATION
ATTENTION
AUDITORY
HIERARCHICAL
PREDICTION
MMN
P300
CNV
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/17199
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/17199
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling Expectation and attention in hierarchical auditory predictionChennu, SrivasNoreika, ValdasGueorguiev, DavidBlenkmann, Alejandro OmarKochen, Sara SilviaIbanez Barassi, Agustin MarianoOwen, Adrian M.Bekinschtein, Tristán AndrésEXPECTATIONATTENTIONAUDITORYHIERARCHICALPREDICTIONMMNP300CNVhttps://purl.org/becyt/ford/3.1https://purl.org/becyt/ford/3Hierarchical predictive coding suggests that attention in humans emerges from increased precision in probabilistic inference, whereas expectation biases attention in favor of contextually anticipated stimuli. We test these notions within auditory perception by independently manipulating top-down expectation and attentional precision alongside bottom-up stimulus predictability. Our findings support an integrative interpretation of commonly observed electrophysiological signatures of neurodynamics, namely mismatch negativity (MMN), P300, and contingent negative variation (CNV), as manifestations along successive levels of predictive complexity. Early first-level processing indexed by the MMN was sensitive to stimulus predictability: here, attentional precision enhanced early responses, but explicit top-down expectation diminished it. This pattern was in contrast to later, second-level processing indexed by the P300: although sensitive to the degree of predictability, responses at this level were contingent on attentional engagement and in fact sharpened by top-down expectation. At the highest level, the drift of the CNV was a fine-grained marker of top-down expectation itself. Source reconstruction of high-density EEG, supported by intracranial recordings, implicated temporal and frontal regions differentially active at early and late levels. The cortical generators of the CNV suggested that it might be involved in facilitating the consolidation of context-salient stimuli into conscious perception. These results provide convergent empirical support to promising recent accounts of attention and expectation in predictive coding.Fil: Chennu, Srivas. University of Cambridge; Reino UnidoFil: Noreika, Valdas. Medical Research Council Cognition; Reino UnidoFil: Gueorguiev, David. Medical Research Council Cognition; Reino UnidoFil: Blenkmann, Alejandro Omar. Gobierno de la Ciudad de Buenos Aires. Hospital General de Agudos "Ramos Mejía"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Kochen, Sara Silvia. Gobierno de la Ciudad de Buenos Aires. Hospital General de Agudos "Ramos Mejía"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Ibanez Barassi, Agustin Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional; Argentina. Universidad Diego Portales; ChileFil: Owen, Adrian M.. University of Western Ontario; CanadáFil: Bekinschtein, Tristán Andrés. University of Cambridge; Reino Unido. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional; ArgentinaSociety for Neuroscience2013-07info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/17199Chennu, Srivas; Noreika, Valdas; Gueorguiev, David; Blenkmann, Alejandro Omar; Kochen, Sara Silvia; et al.; Expectation and attention in hierarchical auditory prediction; Society for Neuroscience; Journal of Neuroscience; 33; 27; 7-2013; 11194-112050270-64741529-2401enginfo:eu-repo/semantics/altIdentifier/url/http://www.jneurosci.org/content/33/27/11194.longinfo:eu-repo/semantics/altIdentifier/doi/10.1523/JNEUROSCI.0114-13.2013info:eu-repo/semantics/altIdentifier/url/https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3718380/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-03T09:53:02Zoai:ri.conicet.gov.ar:11336/17199instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-09-03 09:53:02.948CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Expectation and attention in hierarchical auditory prediction
title Expectation and attention in hierarchical auditory prediction
spellingShingle Expectation and attention in hierarchical auditory prediction
Chennu, Srivas
EXPECTATION
ATTENTION
AUDITORY
HIERARCHICAL
PREDICTION
MMN
P300
CNV
title_short Expectation and attention in hierarchical auditory prediction
title_full Expectation and attention in hierarchical auditory prediction
title_fullStr Expectation and attention in hierarchical auditory prediction
title_full_unstemmed Expectation and attention in hierarchical auditory prediction
title_sort Expectation and attention in hierarchical auditory prediction
dc.creator.none.fl_str_mv Chennu, Srivas
Noreika, Valdas
Gueorguiev, David
Blenkmann, Alejandro Omar
Kochen, Sara Silvia
Ibanez Barassi, Agustin Mariano
Owen, Adrian M.
Bekinschtein, Tristán Andrés
author Chennu, Srivas
author_facet Chennu, Srivas
Noreika, Valdas
Gueorguiev, David
Blenkmann, Alejandro Omar
Kochen, Sara Silvia
Ibanez Barassi, Agustin Mariano
Owen, Adrian M.
Bekinschtein, Tristán Andrés
author_role author
author2 Noreika, Valdas
Gueorguiev, David
Blenkmann, Alejandro Omar
Kochen, Sara Silvia
Ibanez Barassi, Agustin Mariano
Owen, Adrian M.
Bekinschtein, Tristán Andrés
author2_role author
author
author
author
author
author
author
dc.subject.none.fl_str_mv EXPECTATION
ATTENTION
AUDITORY
HIERARCHICAL
PREDICTION
MMN
P300
CNV
topic EXPECTATION
ATTENTION
AUDITORY
HIERARCHICAL
PREDICTION
MMN
P300
CNV
purl_subject.fl_str_mv https://purl.org/becyt/ford/3.1
https://purl.org/becyt/ford/3
dc.description.none.fl_txt_mv Hierarchical predictive coding suggests that attention in humans emerges from increased precision in probabilistic inference, whereas expectation biases attention in favor of contextually anticipated stimuli. We test these notions within auditory perception by independently manipulating top-down expectation and attentional precision alongside bottom-up stimulus predictability. Our findings support an integrative interpretation of commonly observed electrophysiological signatures of neurodynamics, namely mismatch negativity (MMN), P300, and contingent negative variation (CNV), as manifestations along successive levels of predictive complexity. Early first-level processing indexed by the MMN was sensitive to stimulus predictability: here, attentional precision enhanced early responses, but explicit top-down expectation diminished it. This pattern was in contrast to later, second-level processing indexed by the P300: although sensitive to the degree of predictability, responses at this level were contingent on attentional engagement and in fact sharpened by top-down expectation. At the highest level, the drift of the CNV was a fine-grained marker of top-down expectation itself. Source reconstruction of high-density EEG, supported by intracranial recordings, implicated temporal and frontal regions differentially active at early and late levels. The cortical generators of the CNV suggested that it might be involved in facilitating the consolidation of context-salient stimuli into conscious perception. These results provide convergent empirical support to promising recent accounts of attention and expectation in predictive coding.
Fil: Chennu, Srivas. University of Cambridge; Reino Unido
Fil: Noreika, Valdas. Medical Research Council Cognition; Reino Unido
Fil: Gueorguiev, David. Medical Research Council Cognition; Reino Unido
Fil: Blenkmann, Alejandro Omar. Gobierno de la Ciudad de Buenos Aires. Hospital General de Agudos "Ramos Mejía"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Kochen, Sara Silvia. Gobierno de la Ciudad de Buenos Aires. Hospital General de Agudos "Ramos Mejía"; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Ibanez Barassi, Agustin Mariano. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional; Argentina. Universidad Diego Portales; Chile
Fil: Owen, Adrian M.. University of Western Ontario; Canadá
Fil: Bekinschtein, Tristán Andrés. University of Cambridge; Reino Unido. Consejo Nacional de Investigaciones Científicas y Técnicas. Oficina de Coordinación Administrativa Houssay. Instituto de Neurociencia Cognitiva y Traslacional. Fundación Favaloro. Instituto de Neurociencia Cognitiva y Traslacional. Instituto de Neurología Cognitiva. Instituto de Neurociencia Cognitiva y Traslacional; Argentina
description Hierarchical predictive coding suggests that attention in humans emerges from increased precision in probabilistic inference, whereas expectation biases attention in favor of contextually anticipated stimuli. We test these notions within auditory perception by independently manipulating top-down expectation and attentional precision alongside bottom-up stimulus predictability. Our findings support an integrative interpretation of commonly observed electrophysiological signatures of neurodynamics, namely mismatch negativity (MMN), P300, and contingent negative variation (CNV), as manifestations along successive levels of predictive complexity. Early first-level processing indexed by the MMN was sensitive to stimulus predictability: here, attentional precision enhanced early responses, but explicit top-down expectation diminished it. This pattern was in contrast to later, second-level processing indexed by the P300: although sensitive to the degree of predictability, responses at this level were contingent on attentional engagement and in fact sharpened by top-down expectation. At the highest level, the drift of the CNV was a fine-grained marker of top-down expectation itself. Source reconstruction of high-density EEG, supported by intracranial recordings, implicated temporal and frontal regions differentially active at early and late levels. The cortical generators of the CNV suggested that it might be involved in facilitating the consolidation of context-salient stimuli into conscious perception. These results provide convergent empirical support to promising recent accounts of attention and expectation in predictive coding.
publishDate 2013
dc.date.none.fl_str_mv 2013-07
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/17199
Chennu, Srivas; Noreika, Valdas; Gueorguiev, David; Blenkmann, Alejandro Omar; Kochen, Sara Silvia; et al.; Expectation and attention in hierarchical auditory prediction; Society for Neuroscience; Journal of Neuroscience; 33; 27; 7-2013; 11194-11205
0270-6474
1529-2401
url http://hdl.handle.net/11336/17199
identifier_str_mv Chennu, Srivas; Noreika, Valdas; Gueorguiev, David; Blenkmann, Alejandro Omar; Kochen, Sara Silvia; et al.; Expectation and attention in hierarchical auditory prediction; Society for Neuroscience; Journal of Neuroscience; 33; 27; 7-2013; 11194-11205
0270-6474
1529-2401
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.jneurosci.org/content/33/27/11194.long
info:eu-repo/semantics/altIdentifier/doi/10.1523/JNEUROSCI.0114-13.2013
info:eu-repo/semantics/altIdentifier/url/https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3718380/
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
application/pdf
application/pdf
dc.publisher.none.fl_str_mv Society for Neuroscience
publisher.none.fl_str_mv Society for Neuroscience
dc.source.none.fl_str_mv reponame:CONICET Digital (CONICET)
instname:Consejo Nacional de Investigaciones Científicas y Técnicas
reponame_str CONICET Digital (CONICET)
collection CONICET Digital (CONICET)
instname_str Consejo Nacional de Investigaciones Científicas y Técnicas
repository.name.fl_str_mv CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas
repository.mail.fl_str_mv dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar
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score 13.13397

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