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题名: Energy-efficient population coding constrains network size of a neuronal array system
作者: Yu, LC ;  Zhang, C ;  Liu, LW ;  Yu, YG
刊名: SCIENTIFIC REPORTS
出版日期: 2016
卷号: 6, 页码:19369
学科分类: Science & Technology - Other Topics
DOI: http://dx.doi.org/10.1038/srep19369
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.
文章类型: Article
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.
类目[WOS]: Multidisciplinary Sciences
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
项目资助者: 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]
语种: 英语
Citation statistics: 
内容类型: 期刊论文
URI标识: http://ir.itp.ac.cn/handle/311006/21802
Appears in Collections:理论物理所2016年知识产出_期刊论文

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Recommended Citation:
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.
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