fMRI揭示视觉信息处理过程
Alternative TitleVisual Information Processing Mechanism Revealed by fMRI Data
Jinpeng Li; Zhaoxiang Zhang; Huiguang He
2016
Conference Name2016年第一届北京视觉科学会议
Conference Date2016-07
Conference Place北京
Funding Organization中国科学院心理研究所
Other AbstractPURPOSE: The understanding of the information-processing mechanism of human visual system is a major cognitive neuroscience and physiology research topic. The insight of the structure and function of human visual cortex might also help us explain the state-of-art performances of recent deep neural networks.
METHODS: The human subject looked at a sequence of natural images whose content includes animals, buildings, food, humans, indoor scenes, manmade objects, outdoor scenes and textures. We analyzed the functional Magnetic Resonance Imaging (fMRI) data of both the ventral pathway (V1-V2-V4-LO) and the dorsal pathway (V1-V2-V3-V3a/b) on the visual cortex, and performed PCA-SVM on the basis of voxel activities of di?erent regions to conclude the trend of classi?cation accuracy. The canonical correlation analysis (CCA) was also used to estimate the linear correlationship among considered regions.
RESULTS: We found that the classification performance improved hierarchically from lower-level regions to higher-level regions in both pathways, among which the LO, V3a and V3b BOLD signals were good classification basis no worse than the widely-used features such as GIST, HOG and LBP. Simultaneously, the performances of V3a and V3b voxels were very close to those of LO voxels. CCA results also showed relatively strong linear correlationship between V3a/b and V4/LO.
CONCLUSIONS: Primarily, the visual cortex disposes visual information hierarchically. When we tracked the information stream in the visual system, the representations of the stimulus grew more and more abstract and global for recognition, so the layer-stacked deep neural networks were better models for visual cortex than traditional shallow ones. Moreover, V3a and V3b located at the dorsal pathway were also involved in object recognition, which was further confirmed by CCA results. Consequently, when it comes to object recognition, we should consider the coordination mechanism between the two pathways rather than focusing on the ventral pathway alone.
Keywordvisual cortex ventral pathway dorsal pathway fMRI classification
Subject Area感知觉心理学
URL查看原文
Indexed By其他
Language英语
Document Type会议论文
Identifierhttp://ir.psych.ac.cn/handle/311026/20846
Collection心理所主办、承办、协办学术会议_2016年第一届北京视觉科学会议_会议摘要
AffiliationResearch Center for Brain-inspired Intelligence, Chinese Academy of Sciences, No. 95 Zhongguancun East Road, Haidian Dist., Beijing, China, 100190 University of Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Jinpeng Li,Zhaoxiang Zhang,Huiguang He. fMRI揭示视觉信息处理过程[C]. 见:2016年第一届北京视觉科学会议. 北京. 2016-07.http://vision.csp.escience.cn/dct/page/1.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Jinpeng Li]'s Articles
[Zhaoxiang Zhang]'s Articles
[Huiguang He]'s Articles
Baidu academic
Similar articles in Baidu academic
[Jinpeng Li]'s Articles
[Zhaoxiang Zhang]'s Articles
[Huiguang He]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Jinpeng Li]'s Articles
[Zhaoxiang Zhang]'s Articles
[Huiguang He]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.