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A new photosensitive neuron model and its dynamics
Liu, Yong1; Xu, Wan-jiang1; Ma, Jun2,3; Alzahrani, Faris4; Hobiny, Aatef4
2020-09
发表期刊Frontiers of Information Technology and Electronic Engineering
ISSN20959184
卷号21期号:9页码:1387-1396
摘要Biological neurons can receive inputs and capture a variety of external stimuli, which can be encoded and transmitted as different electric signals. Thus, the membrane potential is adjusted to activate the appropriate firing modes. Indeed, reliable neuron models should take intrinsic biophysical effects and functional encoding into consideration. One fascinating and important question is the physical mechanism for the transcription of external signals. External signals can be transmitted as a transmembrane current or a signal voltage for generating action potentials. We present a photosensitive neuron model to estimate the nonlinear encoding and responses of neurons driven by external optical signals. In the model, a photocell (phototube) is used to activate a simple FitzHugh-Nagumo (FHN) neuron, and then external optical signals (illumination) are imposed to excite the photocell for generating a time-varying current/voltage source. The photocell-coupled FHN neuron can therefore capture and encode external optical signals, similar to artificial eyes. We also present detailed bifurcation analysis for estimating the mode transition and firing pattern selection of neuronal electrical activities. The sampled time series can reproduce the main characteristics of biological neurons (quiescent, spiking, bursting, and even chaotic behaviors) by activating the photocell in the neural circuit. These results could be helpful in giving possible guidance for studying neurodynamics and applying neural circuits to detect optical signals. © 2020, Zhejiang University and Springer-Verlag GmbH Germany, part of Springer Nature.
关键词Bifurcation (mathematics) Bioelectric potentials Electrophysiology Encoding (symbols) Light sensitive materials Photoelectric cells Photoresistors Photosensitivity Signal encoding Bifurcation analysis External optical signals Membrane potentials Neuronal electrical activities Physical mechanism Sampled time-series Time varying current Transmembrane currents
DOI10.1631/FITEE.1900606
收录类别EI ; SCIE
语种英语
WOS研究方向Computer Science ; Engineering
WOS类目Computer Science, Information Systems ; Computer Science, Software Engineering ; Engineering, Electrical & Electronic
WOS记录号WOS:000528138000001
出版者Zhejiang University
EI入藏号20201708570113
EI主题词Neurons
EI分类号461.1 Biomedical Engineering - 461.9 Biology - 716.1 Information Theory and Signal Processing - 723.2 Data Processing and Image Processing - 741.1 Light/Optics
来源库Compendex
分类代码461.1 Biomedical Engineering - 461.9 Biology - 716.1 Information Theory and Signal Processing - 723.2 Data Processing and Image Processing - 741.1 Light/Optics
引用统计
被引频次:83[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符https://ir.lut.edu.cn/handle/2XXMBERH/115530
专题理学院
通讯作者Ma, Jun
作者单位1.Yancheng Teachers Univ, Sch Math & Stat, Yancheng 224002, Peoples R China;
2.Lanzhou Univ Technol, Dept Phys, Lanzhou 730050, Peoples R China;
3.Chongqing Univ Posts & Telecommun, Sch Sci, Chongqing 430065, Peoples R China;
4.King Abdulaziz Univ, Dept Math, NAAM Res Grp, Jeddah 21589, Saudi Arabia
通讯作者单位理学院
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GB/T 7714
Liu, Yong,Xu, Wan-jiang,Ma, Jun,et al. A new photosensitive neuron model and its dynamics[J]. Frontiers of Information Technology and Electronic Engineering,2020,21(9):1387-1396.
APA Liu, Yong,Xu, Wan-jiang,Ma, Jun,Alzahrani, Faris,&Hobiny, Aatef.(2020).A new photosensitive neuron model and its dynamics.Frontiers of Information Technology and Electronic Engineering,21(9),1387-1396.
MLA Liu, Yong,et al."A new photosensitive neuron model and its dynamics".Frontiers of Information Technology and Electronic Engineering 21.9(2020):1387-1396.
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