- Author:
Shijia FAN
1
;
Xiaosha WANG
1
;
Xiaoying WANG
1
;
Tao WEI
1
;
Yanchao BI
1
;
Shijia FAN
2
;
Xiaosha WANG
2
;
Xiaoying WANG
2
;
Tao WEI
2
;
Yanchao BI
2
;
Yanchao BI
3
Author Information
- Publication Type:Journal Article
- Keywords: Computational vision model; Domain organization; Response mapping; Ventral occipital temporal cortex
- From: Neuroscience Bulletin 2021;37(10):1454-1468
- CountryChina
- Language:Chinese
- Abstract: 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.

