CASIA OpenIR  > 类脑智能研究中心
Efficient coding matters in the organization of the early visual system
Kong, Qingqun1,2; Han, Jiuqi1,3; Zeng, Yi1,2,4,5; Xu, Bo1,2,4
Source PublicationNEURAL NETWORKS
AbstractIndividual areas in the brain are organized into a hierarchical network as a result of evolution. Previous work indicated that the receptive fields (RFs) of individual areas have been evolved to favor metabolically efficient neural codes. In this paper, we propose that not only the RFs of individual areas, but also the organization of adjacent neurons and the hierarchical structure composed of these areas have been evolved to support efficient coding. To verify this hypothesis, we introduce a feed-forward three-layer network to simulate the early stages of human visual system. We emphasize that the network is not a purely feed-forward one since it also includes intra-layer connections, which are essential but usually ignored in the literature. Simulation results strongly reveal that (1) the obtained RFs of the simulated retinal ganglion cells (RGCs) or neurons in the lateral geniculate nucleus (LGN) and V1 simple neurons are consistent to the neurophysiological data; (2) the responses of closer RGCs are more correlated, and V1 simple neurons with similar orientations prefer to cluster together; (3) the hierarchical organization of the early visual system is beneficial for saving energy, which accords with the requirement of metabolically efficient neural coding in the process of human brain evolution. (C) 2018 Elsevier Ltd. All rights reserved.
KeywordEarly Visual Stages Hierarchical Structure Efficient Coding Brain-inspired Neural Networks
WOS HeadingsScience & Technology ; Technology ; Life Sciences & Biomedicine
Indexed BySCI
Funding OrganizationNational Natural Science Foundation of China(61403375) ; CETC Joint Fund(6141B08010103)
WOS Research AreaComputer Science ; Neurosciences & Neurology
WOS SubjectComputer Science, Artificial Intelligence ; Neurosciences
WOS IDWOS:000441874700018
Citation statistics
Document Type期刊论文
Affiliation1.Chinese Acad Sci, Inst Automat, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Acad Mil Med Sci, Inst Mil Cognit & Brain Sci, Dept Neural Engn & Biol Interdisciplinary Studies, Beijing 100850, Peoples R China
4.Chinese Acad Sci, Ctr Excellence Brain Sci & Intelligence Technol, Shanghai 200031, Peoples R China
5.Chinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
First Author AffilicationInstitute of Automation, Chinese Academy of Sciences
Recommended Citation
GB/T 7714
Kong, Qingqun,Han, Jiuqi,Zeng, Yi,et al. Efficient coding matters in the organization of the early visual system[J]. NEURAL NETWORKS,2018,105:218-226.
APA Kong, Qingqun,Han, Jiuqi,Zeng, Yi,&Xu, Bo.(2018).Efficient coding matters in the organization of the early visual system.NEURAL NETWORKS,105,218-226.
MLA Kong, Qingqun,et al."Efficient coding matters in the organization of the early visual system".NEURAL NETWORKS 105(2018):218-226.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Kong, Qingqun]'s Articles
[Han, Jiuqi]'s Articles
[Zeng, Yi]'s Articles
Baidu academic
Similar articles in Baidu academic
[Kong, Qingqun]'s Articles
[Han, Jiuqi]'s Articles
[Zeng, Yi]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Kong, Qingqun]'s Articles
[Han, Jiuqi]'s Articles
[Zeng, Yi]'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.