Energy-efficient population coding constrains network size of a neuronal array system

doi:http://dx.doi.org/10.1038/srep19369

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	Energy-efficient population coding constrains network size of a neuronal array system
	Yu, LC ; Zhang, C 3; Liu, LW ; Yu, YG
刊名	SCIENTIFIC REPORTS
	2016
卷号	6 页码:19369
关键词	SUPRATHRESHOLD STOCHASTIC RESONANCE COINCIDENCE DETECTOR ACTION-POTENTIALS CORTICAL NEURON METABOLIC COST INFORMATION COMMUNICATION INTEGRATOR DYNAMICS SPIKING
DOI	http://dx.doi.org/10.1038/srep19369
英文摘要	We consider the open issue of how the energy efficiency of the neural information transmission process, in a general neuronal array, constrains the network size, and how well this network size ensures the reliable transmission of neural information in a noisy environment. By direct mathematical analysis, we have obtained general solutions proving that there exists an optimal number of neurons in the network, where the average coding energy cost (defined as energy consumption divided by mutual information) per neuron passes through a global minimum for both subthreshold and superthreshold signals. With increases in background noise intensity, the optimal neuronal number decreases for subthreshold signals and increases for suprathreshold signals. The existence of an optimal number of neurons in an array network reveals a general rule for population coding that states that the neuronal number should be large enough to ensure reliable information transmission that is robust to the noisy environment but small enough to minimize energy cost.
学科主题	Science & Technology - Other Topics
语种	英语
资助机构	China 863 program [2015AA020508] ; National Natural Science Foundation of China [11105062, 31271170, 51408429] ; Fundamental Research Funds for the Central Universities [lzujbky-2011-57, lzujbky-2015-119] ; program for the Professor of Special Appointment at Shanghai Institutions of Higher Learning [SHH1140004] ; open project of State Key Laboratory of Theoretical Physics [Y4KF141CJ1]
内容类型	期刊论文
源URL	[http://ir.itp.ac.cn/handle/311006/23128]
专题	理论物理研究所_理论物理所1978-2010年知识产出
作者单位	1.Fudan Univ, Ctr Computat Syst Biol, Collaborat Innovat Ctr Brain Sci, Sch Life Sci, Shanghai 200433, Peoples R China 2.Lanzhou Univ, Minist Educ, Key Lab Magnetism & Magnet Mat, Inst Theoret Phys, Lanzhou 730000, Peoples R China 3.Chinese Acad Sci, Inst Theoret Phys, State Key Lab Theoret Phys, Beijing 100109, Peoples R China 4.Lanzhou Univ, Cuiying Honors Coll, Lanzhou 730000, Peoples R China 5.Northwest Univ Nationalities, Coll Elect Engn, Lanzhou 730070, Peoples R China
推荐引用方式 GB/T 7714	Yu, LC,Zhang, C,Liu, LW,et al. Energy-efficient population coding constrains network size of a neuronal array system[J]. SCIENTIFIC REPORTS,2016,6:19369.
APA	Yu, LC,Zhang, C,Liu, LW,&Yu, YG.(2016).Energy-efficient population coding constrains network size of a neuronal array system.SCIENTIFIC REPORTS,6,19369.
MLA	Yu, LC,et al."Energy-efficient population coding constrains network size of a neuronal array system".SCIENTIFIC REPORTS 6(2016):19369.