CLC number: TN710; O59
On-line Access: 2020-09-09
Received: 2019-11-09
Revision Accepted: 2020-01-25
Crosschecked: 2020-03-31
Cited: 0
Clicked: 5200
Citations: Bibtex RefMan EndNote GB/T7714
Yong Liu, Wan-jiang Xu, Jun Ma, Faris Alzahrani, Aatef Hobiny. A new photosensitive neuron model and its dynamics[J]. Frontiers of Information Technology & Electronic Engineering, 2020, 21(9): 1387-1396.
@article{title="A new photosensitive neuron model and its dynamics",
author="Yong Liu, Wan-jiang Xu, Jun Ma, Faris Alzahrani, Aatef Hobiny",
journal="Frontiers of Information Technology & Electronic Engineering",
volume="21",
number="9",
pages="1387-1396",
year="2020",
publisher="Zhejiang University Press & Springer",
doi="10.1631/FITEE.1900606"
}
%0 Journal Article
%T A new photosensitive neuron model and its dynamics
%A Yong Liu
%A Wan-jiang Xu
%A Jun Ma
%A Faris Alzahrani
%A Aatef Hobiny
%J Frontiers of Information Technology & Electronic Engineering
%V 21
%N 9
%P 1387-1396
%@ 2095-9184
%D 2020
%I Zhejiang University Press & Springer
%DOI 10.1631/FITEE.1900606
TY - JOUR
T1 - A new photosensitive neuron model and its dynamics
A1 - Yong Liu
A1 - Wan-jiang Xu
A1 - Jun Ma
A1 - Faris Alzahrani
A1 - Aatef Hobiny
J0 - Frontiers of Information Technology & Electronic Engineering
VL - 21
IS - 9
SP - 1387
EP - 1396
%@ 2095-9184
Y1 - 2020
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/FITEE.1900606
Abstract: 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.
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