Modulational instability in chain diffusive neuronal networks under electric field

被引:5
|
作者
Takembo, C. N. [1 ]
Fouda, H. P. E. [2 ]
Kofane, T. C. [3 ]
机构
[1] Univ Buea I, Coll Technol, Dept Elect & Elect Engn, POB 63, Buea, Cameroon
[2] Univ Yaounde I, Fac Sci, Dept Phys, Lab Biophys, POB 812, Yaounde, Cameroon
[3] Univ Yaounde I, Fac Sci, Dept Phys, Lab Mech, POB 812, Yaounde, Cameroon
关键词
Neuronal network; Electric field; Modulational instability; Wave pattern; Bursting synchronization; ELECTROMAGNETIC INDUCTION; PATTERN-FORMATION; WAVE-PROPAGATION; NEURAL CIRCUIT; MODEL; SYNCHRONIZATION; OSCILLATIONS; MECHANISMS; TRANSITION; RADIATION;
D O I
10.1007/s12648-022-02368-2
中图分类号
O4 [物理学];
学科分类号
0702 ;
摘要
In this paper, the impact of electric field on the emergence and propagation of nonlinear wave impulse is investigated through modulational instability in an improved chain FitzHugh-Nagumo neuronal network. Through the application of the powerful multiple scale expansion method on the system of N-differential equations, we obtain the angular frequency of modulated impulse wave along the network. This frequency is showed to be dependent on the electric field feedback gain as well as the coupling strength of the network. Our analytical predictions agree with the numerical results. The formation of localized nonlinear wave patterns is confirmed. The spatiotemporal pattern for action potential shows that electric feedback gain and high-frequency field modulate the wave patterns by promoting the emergence of chaotic-like wave patterns while high-intensity external electric field is showed to suppress wave patterns completely. The sampled time series revealed the high-intensity external field suppresses the electrical activities, by reducing the output to quiescent state. Extensive numerical simulations revealed the network supports burst synchronization, recurrent in the manifestation of paroxysmal epilepsy.
引用
收藏
页码:379 / 387
页数:9
相关论文
共 50 条
  • [1] Modulational instability in chain diffusive neuronal networks under electric field
    Clovis Ntahkie Takembo
    Henri Paul Ekobena Fouda
    Timoleon Crepin Kofane
    Indian Journal of Physics, 2023, 97 : 379 - 387
  • [2] Electric field modulation of synchronization in neuronal networks
    Park, EH
    So, P
    Barreto, E
    Gluckman, BJ
    Schiff, SJ
    NEUROCOMPUTING, 2003, 52-4 : 169 - 175
  • [3] Synchronization and wave propagation in neuronal network under field coupling
    Lv Mi
    Ma Jun
    Yao YuanGen
    Alzahrani, Faris
    SCIENCE CHINA-TECHNOLOGICAL SCIENCES, 2019, 62 (03) : 448 - 457
  • [4] Recurrent nonlinear modulational instability in the β-FPUT chain
    Armaroli, Andrea
    Trillo, Stefano
    CHAOS SOLITONS & FRACTALS, 2024, 188
  • [5] Chimera states in a neuronal network under the action of an electric field
    Simo, Gael R.
    Njougouo, Thierry
    Aristides, R. P.
    Louodop, Patrick
    Tchitnga, Robert
    Cerdeira, Hilda A.
    PHYSICAL REVIEW E, 2021, 103 (06)
  • [6] Modeling and Simulation on Desynchronization of Neuronal Networks under Electrostatic Field
    Wang Rui-Quan
    Wang Huai-Yang
    PROCEEDINGS OF THE 2015 INTERNATIONAL CONFERENCE ON COMPUTER SCIENCE AND INTELLIGENT COMMUNICATION, 2015, 16 : 129 - 132
  • [7] Model electrical activity of neuron under electric field
    Ma, Jun
    Zhang, Ge
    Hayat, Tasawar
    Ren, Guodong
    NONLINEAR DYNAMICS, 2019, 95 (02) : 1585 - 1598
  • [8] Modulational instability in a biexciton molecular chain with saturable nonlinearity effects
    Sali, Issa
    Tabi, C. B.
    Ekobena, H. P.
    Kofane, T. C.
    INTERNATIONAL JOURNAL OF MODERN PHYSICS B, 2016, 30 (01):
  • [9] Modulational instability and energy localization in a chain of interacting Frenkel excitons
    Xiao, Y
    Hai, WH
    COMMUNICATIONS IN THEORETICAL PHYSICS, 1999, 31 (03) : 341 - 346
  • [10] Dependence of sinusoidal electric field effect on neuronal morphological properties
    Wei, Xile
    Yin, Xiaowei
    Lu, Meili
    Yi, Guosheng
    Wang, Jiang
    INTERNATIONAL JOURNAL OF MODERN PHYSICS B, 2015, 29 (15):