Efficient coding matters in the organization of the early visual system

doi:10.1016/j.neunet.2018.04.019

	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
发表期刊	NEURAL NETWORKS
	2018-09-01
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
DOI	10.1016/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	被引频次：5[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/21871
专题	脑图谱与类脑智能实验室_类脑认知计算数字内容技术与服务研究中心
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
第一作者单位	中国科学院自动化研究所
推荐引用方式 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.