
FOLLOWUS
Center for Nonlinear Dynamics, Defence University, Bishoft 6020, Ethiopia
Institute of Energy, Mekelle University, Mekelle 231, Ethiopia
Biomedical Engineering Department, Amirkabir University of Technology, Tehran 15875-4413, Iran
NAAM Research Group, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi Arabia
Department of Mathematics, Quaid-i-Azam University, Islamabad 45320, Pakistan
Modelling Evolutionary Algorithms Simulation and Artificial Intelligence, Faculty of Electrical and Electronics Engineering, Ton Duc Thang University, Ho Chi Minh City 700000, Vietnam
Viet-Thanh PHAM, E-mail: phamvietthanh@tdt.edu.vn
收稿:2018-06-23,
修回:2019-;1-25,
网络出版:2019-03-07,
纸质出版:2019-04
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Karthikeyan RAJAGOPAL, Fahimeh NAZARIMEHR, Anitha KARTHIKEYAN, 等. 整数阶与分数阶非连续外磁通量的神经元动力学[J]. 信息与电子工程前沿(英文), 2019,20(4):584-590.
Karthikeyan RAJAGOPAL, Fahimeh NAZARIMEHR, Anitha KARTHIKEYAN, et al. Dynamics of a neuron exposed to integer-and fractional-order discontinuous external magnetic flux[J]. Frontiers of Information Technology & Electronic Engineering, 2019, 20(4): 584-590.
Karthikeyan RAJAGOPAL, Fahimeh NAZARIMEHR, Anitha KARTHIKEYAN, 等. 整数阶与分数阶非连续外磁通量的神经元动力学[J]. 信息与电子工程前沿(英文), 2019,20(4):584-590. DOI: 10.1631/FITEE.1800389.
Karthikeyan RAJAGOPAL, Fahimeh NAZARIMEHR, Anitha KARTHIKEYAN, et al. Dynamics of a neuron exposed to integer-and fractional-order discontinuous external magnetic flux[J]. Frontiers of Information Technology & Electronic Engineering, 2019, 20(4): 584-590. DOI: 10.1631/FITEE.1800389.
提出一种改进Fitzugh-Nagumo神经元(MFNN)模型。在此模型基础上,研究了基于整数阶(案例A)与分数阶(案例B)的MFNN系统。在电磁感应和辐射作用下,记忆和感应呈现多种分布,证明该分数阶磁通量适用于非均匀扩散。整数阶非连续磁通量MFNN系统具有混沌和非混沌吸引子。系统动力学分析显示倍周期的产生和消失标志着反单调性,神经元动力学研究未曾报道此现象。在分数阶非连续磁通量MFNN系统中,混沌吸引子和周期吸引子无反单调性。
We propose a modified Fitzhugh-Nagumo neuron (MFNN) model. Based on this model
an integerorder MFNN system (case A) and a fractional-order MFNN system (case B) were investigated. In the presence of electromagnetic induction and radiation
memductance and induction can show a variety of distributions. Fractionalorder magnetic flux can then be considered. Indeed
a fractional-order setting can be acceptable for non-uniform diffusion. In the case of an MFNN system with integer-order discontinuous magnetic flux
the system has chaotic and non-chaotic attractors. Dynamical analysis of the system shows the birth and death of period doubling
which is a sign of antimonotonicity. Such a behavior has not been studied previously in the dynamics of neurons. In an MFNN system with fractional-order discontinuous magnetic flux
different attractors such as chaotic and periodic attractors can be observed. However
there is no sign of antimonotonicity.
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