Statistical inference of body representation in the macaque brain

Autores
Fang, Wen; Li, Junru; Qi, Guangyao; Li, Shenghao; Sigman, Mariano; Wang, Liping
Año de publicación
2019
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The sense of one’s own body is a pillar of self-consciousness and could be investigated by inducing human illusions of artificial objects as part of the self. Here, we present a nonhuman primate version of a rubber-hand illusion that allowed us to determine its computational and neuronal mechanisms. We implemented a video-based system in a reaching task in monkeys and combined a casual inference model to establish an objective and quantitative signature for the monkey’s body representation. Similar to humans, monkeys were more likely to perceive an external object as part of the self when the dynamics (spatial disparity) and the features (shape and structure) of visual (V) input was closer to proprioceptive (P) signals. Neural signals in the monkey’s premotor cortex reflected the strength of illusion and the likelihood of misattributing the illusory hand to oneself, thus, revealing a cortical representation of body ownership.
Fil: Fang, Wen. Chinese Academy of Sciences; República de China
Fil: Li, Junru. Chinese Academy of Sciences; República de China
Fil: Qi, Guangyao. Chinese Academy of Sciences; República de China
Fil: Li, Shenghao. Chinese Academy of Sciences; República de China
Fil: Sigman, Mariano. Universidad Torcuato Di Tella; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Wang, Liping. Chinese Academy of Sciences; República de China. Shanghai Research Center For Brain Science And Brain-inspired Intelligence; China
Materia
BODY REPRESENTATION
CAUSAL INFERENCE
MONKEY
OWNERSHIP
PREMOTOR
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:11336/174771

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network_name_str CONICET Digital (CONICET)
spelling Statistical inference of body representation in the macaque brainFang, WenLi, JunruQi, GuangyaoLi, ShenghaoSigman, MarianoWang, LipingBODY REPRESENTATIONCAUSAL INFERENCEMONKEYOWNERSHIPPREMOTORhttps://purl.org/becyt/ford/1.7https://purl.org/becyt/ford/1The sense of one’s own body is a pillar of self-consciousness and could be investigated by inducing human illusions of artificial objects as part of the self. Here, we present a nonhuman primate version of a rubber-hand illusion that allowed us to determine its computational and neuronal mechanisms. We implemented a video-based system in a reaching task in monkeys and combined a casual inference model to establish an objective and quantitative signature for the monkey’s body representation. Similar to humans, monkeys were more likely to perceive an external object as part of the self when the dynamics (spatial disparity) and the features (shape and structure) of visual (V) input was closer to proprioceptive (P) signals. Neural signals in the monkey’s premotor cortex reflected the strength of illusion and the likelihood of misattributing the illusory hand to oneself, thus, revealing a cortical representation of body ownership.Fil: Fang, Wen. Chinese Academy of Sciences; República de ChinaFil: Li, Junru. Chinese Academy of Sciences; República de ChinaFil: Qi, Guangyao. Chinese Academy of Sciences; República de ChinaFil: Li, Shenghao. Chinese Academy of Sciences; República de ChinaFil: Sigman, Mariano. Universidad Torcuato Di Tella; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Wang, Liping. Chinese Academy of Sciences; República de China. Shanghai Research Center For Brain Science And Brain-inspired Intelligence; ChinaNational Academy of Sciences2019-09info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/174771Fang, Wen; Li, Junru; Qi, Guangyao; Li, Shenghao; Sigman, Mariano; et al.; Statistical inference of body representation in the macaque brain; National Academy of Sciences; Proceedings of the National Academy of Sciences of The United States of America; 116; 40; 9-2019; 20151-201570027-8424CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/http://www.pnas.org/lookup/doi/10.1073/pnas.1902334116info:eu-repo/semantics/altIdentifier/doi/10.1073/pnas.1902334116info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:30:52Zoai:ri.conicet.gov.ar:11336/174771instacron: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:34982025-10-15 14:30:53.178CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Statistical inference of body representation in the macaque brain
title Statistical inference of body representation in the macaque brain
spellingShingle Statistical inference of body representation in the macaque brain
Fang, Wen
BODY REPRESENTATION
CAUSAL INFERENCE
MONKEY
OWNERSHIP
PREMOTOR
title_short Statistical inference of body representation in the macaque brain
title_full Statistical inference of body representation in the macaque brain
title_fullStr Statistical inference of body representation in the macaque brain
title_full_unstemmed Statistical inference of body representation in the macaque brain
title_sort Statistical inference of body representation in the macaque brain
dc.creator.none.fl_str_mv Fang, Wen
Li, Junru
Qi, Guangyao
Li, Shenghao
Sigman, Mariano
Wang, Liping
author Fang, Wen
author_facet Fang, Wen
Li, Junru
Qi, Guangyao
Li, Shenghao
Sigman, Mariano
Wang, Liping
author_role author
author2 Li, Junru
Qi, Guangyao
Li, Shenghao
Sigman, Mariano
Wang, Liping
author2_role author
author
author
author
author
dc.subject.none.fl_str_mv BODY REPRESENTATION
CAUSAL INFERENCE
MONKEY
OWNERSHIP
PREMOTOR
topic BODY REPRESENTATION
CAUSAL INFERENCE
MONKEY
OWNERSHIP
PREMOTOR
purl_subject.fl_str_mv https://purl.org/becyt/ford/1.7
https://purl.org/becyt/ford/1
dc.description.none.fl_txt_mv The sense of one’s own body is a pillar of self-consciousness and could be investigated by inducing human illusions of artificial objects as part of the self. Here, we present a nonhuman primate version of a rubber-hand illusion that allowed us to determine its computational and neuronal mechanisms. We implemented a video-based system in a reaching task in monkeys and combined a casual inference model to establish an objective and quantitative signature for the monkey’s body representation. Similar to humans, monkeys were more likely to perceive an external object as part of the self when the dynamics (spatial disparity) and the features (shape and structure) of visual (V) input was closer to proprioceptive (P) signals. Neural signals in the monkey’s premotor cortex reflected the strength of illusion and the likelihood of misattributing the illusory hand to oneself, thus, revealing a cortical representation of body ownership.
Fil: Fang, Wen. Chinese Academy of Sciences; República de China
Fil: Li, Junru. Chinese Academy of Sciences; República de China
Fil: Qi, Guangyao. Chinese Academy of Sciences; República de China
Fil: Li, Shenghao. Chinese Academy of Sciences; República de China
Fil: Sigman, Mariano. Universidad Torcuato Di Tella; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Wang, Liping. Chinese Academy of Sciences; República de China. Shanghai Research Center For Brain Science And Brain-inspired Intelligence; China
description The sense of one’s own body is a pillar of self-consciousness and could be investigated by inducing human illusions of artificial objects as part of the self. Here, we present a nonhuman primate version of a rubber-hand illusion that allowed us to determine its computational and neuronal mechanisms. We implemented a video-based system in a reaching task in monkeys and combined a casual inference model to establish an objective and quantitative signature for the monkey’s body representation. Similar to humans, monkeys were more likely to perceive an external object as part of the self when the dynamics (spatial disparity) and the features (shape and structure) of visual (V) input was closer to proprioceptive (P) signals. Neural signals in the monkey’s premotor cortex reflected the strength of illusion and the likelihood of misattributing the illusory hand to oneself, thus, revealing a cortical representation of body ownership.
publishDate 2019
dc.date.none.fl_str_mv 2019-09
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/11336/174771
Fang, Wen; Li, Junru; Qi, Guangyao; Li, Shenghao; Sigman, Mariano; et al.; Statistical inference of body representation in the macaque brain; National Academy of Sciences; Proceedings of the National Academy of Sciences of The United States of America; 116; 40; 9-2019; 20151-20157
0027-8424
CONICET Digital
CONICET
url http://hdl.handle.net/11336/174771
identifier_str_mv Fang, Wen; Li, Junru; Qi, Guangyao; Li, Shenghao; Sigman, Mariano; et al.; Statistical inference of body representation in the macaque brain; National Academy of Sciences; Proceedings of the National Academy of Sciences of The United States of America; 116; 40; 9-2019; 20151-20157
0027-8424
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/url/http://www.pnas.org/lookup/doi/10.1073/pnas.1902334116
info:eu-repo/semantics/altIdentifier/doi/10.1073/pnas.1902334116
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
dc.publisher.none.fl_str_mv National Academy of Sciences
publisher.none.fl_str_mv National Academy of Sciences
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 12.891075