Knowledge Commons of Institute of Automation,CAS
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 | |
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. |
条目包含的文件 | 条目无相关文件。 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论