The Electrical Activity of Neurons Subject to Electromagnetic Induction and Gaussian White Noise

被引:131
作者
Wang, Ya [1 ]
Ma, Jun [1 ,2 ,3 ]
Xu, Ying [1 ]
Wu, Fuqiang [1 ]
Zhou, Ping [2 ]
机构
[1] Lanzhou Univ Technol, Dept Phys, Lanzhou 730050, Peoples R China
[2] Chongqing Univ Posts & Telecommun, Sch Sci, Chongqing 430065, Peoples R China
[3] King Abdulaziz Univ, Fac Sci, Dept Math, NAAM Res Grp, POB 80203, Jeddah 21589, Saudi Arabia
来源
INTERNATIONAL JOURNAL OF BIFURCATION AND CHAOS | 2017年 / 27卷 / 02期
基金
中国国家自然科学基金;
关键词
Neuron; electromagnetic induction; memristor; bursting; noise; STOCHASTIC RESONANCE; SYNCHRONIZATION; AUTAPSE; NETWORK; TRANSITION; MODEL; SYSTEMS; WAVE;
D O I
10.1142/S0218127417500304
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
Neurons can give appropriate response to external electrical stimuli and the modes in electrical activities can be carefully selected. Most of the neuron models mainly emphasize on the ion channel currents embedded into the membrane and the properties in electrical activities can be produced in the theoretical models. Indeed, some physical effect should be considered during the model setting for neuronal activities. In fact, induced current and the electrical field will cause the membrane potential to change and an exchange of charged ions during the fluctuation of ion concentration in cell. As a result, the effect of electromagnetic induction should be seriously considered. In this paper, magnetic flux is proposed to describe the effect of electromagnetic field, and the memristor is used to realize coupling on membrane by inputting induced current based on consensus of physical unit. Noise is also considered to detect the dynamical response in electrical activities and stochastic resonance, it is found that multiple modes can be selected in the electrical activities and it could be associated with memory effect and self-adaption in neurons.
引用
收藏
页数:12
相关论文
共 60 条
[1]   Coexisting infinitely many attractors in active band-pass filter-based memristive circuit [J].
Bao, Bocheng ;
Jiang, Tao ;
Xu, Quan ;
Chen, Mo ;
Wu, Huagan ;
Hu, Yihua .
NONLINEAR DYNAMICS, 2016, 86 (03) :1711-1723
[2]   Adaptive synchronization of fractional-order memristor-based neural networks with time delay [J].
Bao, Haibo ;
Park, Ju H. ;
Cao, Jinde .
NONLINEAR DYNAMICS, 2015, 82 (03) :1343-1354
[3]   Synaptic transmission: Functional autapses in the cortex [J].
Bekkers, JM .
CURRENT BIOLOGY, 2003, 13 (11) :R433-R435
[4]   Neurophysiology: Are autapses prodigal synapses? [J].
Bekkers, JM .
CURRENT BIOLOGY, 1998, 8 (02) :R52-R55
[5]   Information processing, memories, and synchronization in chaotic neural network with the time delay [J].
Bondarenko, VE .
COMPLEXITY, 2005, 11 (02) :39-52
[6]   Tuning in to noise [J].
Bulsara, AR ;
Gammaitoni, L .
PHYSICS TODAY, 1996, 49 (03) :39-45
[7]   On the simplest fractional-order memristor-based chaotic system [J].
Cafagna, Donato ;
Grassi, Giuseppe .
NONLINEAR DYNAMICS, 2012, 70 (02) :1185-1197
[8]   Pacemaker-guided noise-induced spatial periodicity in excitable media [J].
Gosak, Marko ;
Marhl, Marko ;
Perc, Matjaz .
PHYSICA D-NONLINEAR PHENOMENA, 2009, 238 (05) :506-515
[9]   White noise-induced spiral waves and multiple spatial coherence resonances in a neuronal network with type I excitability [J].
Gu, Hua-Guang ;
Jia, Bing ;
Li, Yu-Ye ;
Chen, Guan-Rong .
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS, 2013, 392 (06) :1361-1374
[10]   Firing regulation of fast-spiking interneurons by autaptic inhibition [J].
Guo, Daqing ;
Chen, Mingming ;
Perc, Matjaz ;
Wu, Shengdun ;
Xia, Chuan ;
Zhang, Yangsong ;
Xu, Peng ;
Xia, Yang ;
Yao, Dezhong .
EPL, 2016, 114 (03)