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
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