Topography of Visual Features in the Human Ventral Visual Pathway  

作　　者：Shijia Fan Xiaosha Wang Xiaoying Wang Tao Wei Yanchao Bi 

机构地区：[1]State Key Laboratory of Cognitive Neuroscience and Learning,and IDG/McGovem Institute for Brain Research,Beijing Normal University,Beijing 100875,China [2]Beijing Key Laboratory of Brain Imaging and Connectomics,Beijing Normal University,Beijing 100875,China [3]Chinese Institute for Brain Research,Beijing 102206,China

出　　处：《Neuroscience Bulletin》2021年第10期1454-1468,共15页神经科学通报（英文版）

基　　金：by the National Natural Science Foundation of China(31671128,31925020,31700999,31700943,and 31500882);the Changjiang Scholar Professorship Award(T2016031);Fundamental Research Funds for the Central Universities(2017EYT35).

摘　　要：Visual object recognition in humans and nonhuman primates is achieved by the ventral visual pathway(ventral occipital-temporal cortex,VOTC),which shows a well-documented object domain structure.An on-going question is what type of information is processed in the higher-order VOTC that underlies such observations,with recent evidence suggesting effects of certain visual features.Combining computational vision models,fMRI experiment using a parametric-modulation approach,and natural image statistics of common objects,we depicted the neural distribution of a comprehensive set of visual features in the VOTC,identifying voxel sensitivities with specific feature sets across geometry/shape,Fourier power,and color.The visual feature combination pattern in the VOTC is significantly explained by their relationships to different types of response-action computation(fight-or-flight,navigation,and manipulation),as derived from behavioral ratings and natural image statistics.These results offer a comprehensive visual feature map in the VOTC and a plausible theoretical explanation as a mapping onto different types of downstream response-action systems.

关 键 词：Ventral occipital temporal cortex Computational vision model Domain organization Response mapping 

分 类 号：R338[医药卫生—人体生理学]