A new photosensitive neuron model and its dynamics

doi:10.1631/FITEE.1900606

CORC > 兰州理工大学 > 兰州理工大学

	A new photosensitive neuron model and its dynamics
	Liu, Yong 1; Xu, Wan-jiang 1; Ma, Jun 2,3; Alzahrani, Faris 4; Hobiny, Aatef 4
刊名	Frontiers of Information Technology and Electronic Engineering
	2020-09-01
卷号	21 期号:9 页码:1387-1396
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
ISSN号	20959184
DOI	10.1631/FITEE.1900606
英文摘要	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.
WOS研究方向	Computer Science ; Engineering
语种	英语
出版者	Zhejiang University
WOS记录号	WOS:000528138000001
内容类型	期刊论文
源URL	[http://ir.lut.edu.cn/handle/2XXMBERH/115530]
专题	兰州理工大学
作者单位	1.School of Mathematics and Statistics, Yancheng Teachers University, Yancheng; 224002, China; 2.Department of Physics, Lanzhou University of Technology, Lanzhou; 730050, China; 3.School of Science, Chongqing University of Posts and Telecommunications, Chongqing; 430065, China; 4.NAAM-Research Group, Department of Mathematics, King Abdulaziz University, Jeddah; 21589, Saudi Arabia
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.