ITP OpenIR  > 理论物理所2016年知识产出
Energy-efficient population coding constrains network size of a neuronal array system
Yu, LC; Zhang, C; Liu, LW; Yu, YG; Yu, YG (reprint author), Fudan Univ, Ctr Computat Syst Biol, Collaborat Innovat Ctr Brain Sci, Sch Life Sci, Shanghai 200433, Peoples R China.
2016
发表期刊SCIENTIFIC REPORTS
卷号6页码:19369
文章类型Article
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.
学科领域Science & Technology - Other Topics
资助者China 863 program [2015AA020508] ; China 863 program [2015AA020508] ; National Natural Science Foundation of China [11105062, 31271170, 51408429] ; National Natural Science Foundation of China [11105062, 31271170, 51408429] ; Fundamental Research Funds for the Central Universities [lzujbky-2011-57, lzujbky-2015-119] ; 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] ; program for the Professor of Special Appointment at Shanghai Institutions of Higher Learning [SHH1140004] ; open project of State Key Laboratory of Theoretical Physics [Y4KF141CJ1] ; open project of State Key Laboratory of Theoretical Physics [Y4KF141CJ1] ; China 863 program [2015AA020508] ; China 863 program [2015AA020508] ; National Natural Science Foundation of China [11105062, 31271170, 51408429] ; National Natural Science Foundation of China [11105062, 31271170, 51408429] ; Fundamental Research Funds for the Central Universities [lzujbky-2011-57, lzujbky-2015-119] ; 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] ; program for the Professor of Special Appointment at Shanghai Institutions of Higher Learning [SHH1140004] ; open project of State Key Laboratory of Theoretical Physics [Y4KF141CJ1] ; open project of State Key Laboratory of Theoretical Physics [Y4KF141CJ1]
DOIhttp://dx.doi.org/10.1038/srep19369
关键词[WOS]SUPRATHRESHOLD STOCHASTIC RESONANCE ; COINCIDENCE DETECTOR ; ACTION-POTENTIALS ; CORTICAL NEURON ; METABOLIC COST ; INFORMATION ; COMMUNICATION ; INTEGRATOR ; DYNAMICS ; SPIKING
收录类别SCI
语种英语
资助者China 863 program [2015AA020508] ; China 863 program [2015AA020508] ; National Natural Science Foundation of China [11105062, 31271170, 51408429] ; National Natural Science Foundation of China [11105062, 31271170, 51408429] ; Fundamental Research Funds for the Central Universities [lzujbky-2011-57, lzujbky-2015-119] ; 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] ; program for the Professor of Special Appointment at Shanghai Institutions of Higher Learning [SHH1140004] ; open project of State Key Laboratory of Theoretical Physics [Y4KF141CJ1] ; open project of State Key Laboratory of Theoretical Physics [Y4KF141CJ1] ; China 863 program [2015AA020508] ; China 863 program [2015AA020508] ; National Natural Science Foundation of China [11105062, 31271170, 51408429] ; National Natural Science Foundation of China [11105062, 31271170, 51408429] ; Fundamental Research Funds for the Central Universities [lzujbky-2011-57, lzujbky-2015-119] ; 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] ; program for the Professor of Special Appointment at Shanghai Institutions of Higher Learning [SHH1140004] ; open project of State Key Laboratory of Theoretical Physics [Y4KF141CJ1] ; open project of State Key Laboratory of Theoretical Physics [Y4KF141CJ1]
WOS类目Multidisciplinary Sciences
引用统计
文献类型期刊论文
条目标识符http://ir.itp.ac.cn/handle/311006/21802
专题理论物理所2016年知识产出
通讯作者Yu, YG (reprint author), Fudan Univ, Ctr Computat Syst Biol, Collaborat Innovat Ctr Brain Sci, Sch Life Sci, Shanghai 200433, Peoples R China.
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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,&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.
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