Neural Basis of Categorical Representations of Animal Body Silhouettes  

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作  者:Yue Pu Shihui Han 

机构地区:[1]School of Psychological and Cognitive Sciences,PKU-IDG/McGovern Institute for Brain Research,Beijing Key Laboratory of Behavior and Mental Health,Peking University,Beijing,100081,China

出  处:《Neuroscience Bulletin》2025年第2期211-223,共13页神经科学通报(英文版)

基  金:supported by the National Natural Science Foundation of China(32230043 and 32371092);the Ministry of Science and Technology of China(2019YFA0707103);Das Chinesisch-Deutsche Zentrum für Wissenschaftsförderung(M-0093);the High-performance Computing Platform of Peking University.

摘  要:Neural activities differentiating bodies versus non-body stimuli have been identified in the occipitotemporal cortex of both humans and nonhuman primates.However,the neural mechanisms of coding the similarity of different individuals’bodies of the same species to support their categorical representations remain unclear.Using electroencephalography(EEG)and magnetoencephalography(MEG),we investigated the temporal and spatial characteristics of neural processes shared by different individual body silhouettes of the same species by quantifying the repetition suppression of neural responses to human and animal(chimpanzee,dog,and bird)body silhouettes showing different postures.Our EEG results revealed significant repetition suppression of the amplitudes of early frontal/central activity at 180–220 ms(P2)and late occipitoparietal activity at 220–320 ms(P270)in response to animal(but not human)body silhouettes of the same species.Our MEG results further localized the repetition suppression effect related to animal body silhouettes in the left supramarginal gyrus and left frontal cortex at 200–440 ms after stimulus onset.Our findings suggest two neural processes that are involved in spontaneous categorical representations of animal body silhouettes as a cognitive basis of human-animal interactions.

关 键 词:Body silhouette CATEGORIZATION Repression suppression EEG MEG 

分 类 号:Q42[生物学—神经生物学]

 

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