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Artículo

Statistical inference of body representation in the macaque brain

Fang, Wen; Li, Junru; Qi, Guangyao; Li, Shenghao; Sigman, MarianoIcon ; Wang, Liping
Fecha de publicación: 09/2019
Editorial: National Academy of Sciences
Revista: Proceedings of the National Academy of Sciences of The United States of America
ISSN: 0027-8424
Idioma: Inglés
Tipo de recurso: Artículo publicado
Clasificación temática:
Otras Ciencias Naturales y Exactas

Resumen

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.
Palabras clave: BODY REPRESENTATION , CAUSAL INFERENCE , MONKEY , OWNERSHIP , PREMOTOR
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info:eu-repo/semantics/openAccess Excepto donde se diga explícitamente, este item se publica bajo la siguiente descripción: Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Unported (CC BY-NC-SA 2.5)
Identificadores
URI: http://hdl.handle.net/11336/174771
URL: http://www.pnas.org/lookup/doi/10.1073/pnas.1902334116
DOI: http://dx.doi.org/10.1073/pnas.1902334116
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Articulos(SEDE CENTRAL)
Articulos de SEDE CENTRAL
Citación
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
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