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 |
ISSN | 20959184 |
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 |
DOI | 10.1631/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 | |
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 |
推荐引用方式 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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