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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
2018-09-01
发表期刊NEURAL NETWORKS
卷号105页码:218-226
文章类型Article
摘要Individual 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.
关键词Early Visual Stages Hierarchical Structure Efficient Coding Brain-inspired Neural Networks
WOS标题词Science & Technology ; Technology ; Life Sciences & Biomedicine
DOI10.1016/j.neunet.2018.04.019
关键词[WOS]RETINAL GANGLION-CELLS ; MONKEY STRIATE CORTEX ; RECEPTIVE-FIELDS ; SPATIAL STRUCTURE ; SPARSE CODE ; MACAQUE ; DEPENDENCE ; MODEL ; V1
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China(61403375) ; CETC Joint Fund(6141B08010103)
WOS研究方向Computer Science ; Neurosciences & Neurology
WOS类目Computer Science, Artificial Intelligence ; Neurosciences
WOS记录号WOS:000441874700018
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/21871
专题类脑智能研究中心
作者单位1.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
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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.
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