Zobrazeno 1 - 10
of 12
pro vyhledávání: '"Armand Sylvin Etémé"'
Autor:
Henry Paul Ekobena Fouda, Jean Felix Beyala Ateba, Armand Sylvin Etémé, Timoleon Crepin Kofane, Alidou Mohamadou, C. B. Tabi
Publikováno v:
Nonlinear Dynamics. 105:785-795
The fluctuation of ions concentration across the cell membrane of neuron can generate a time varying electromagnetic field. Thus, memristors are used to realize the coupling between the magnetic flux and the membrane potential across the membrane. Su
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d90c133818c8ef4b7d2a6f8020c8ae1a
https://doi.org/10.1007/s11071-021-06640-8
https://doi.org/10.1007/s11071-021-06640-8
Publikováno v:
Nonlinear Dynamics. 100:3799-3814
This work deals with the stimulation of cardiac spiral waves in a two-dimensional FitzHugh–Nagumo model through modulational instability phenomenon in the presence of intracellular magnetic flux. The nonlinear generic model is firstly transformed i
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fddaad25576134ce80748658c580efe4
https://doi.org/10.1007/s11071-020-05750-z
https://doi.org/10.1007/s11071-020-05750-z
Publikováno v:
Waves in Random and Complex Media. 31:1028-1050
Nonlinear excitations of Ca2+ waves are investigated in a two-dimensional cell network with bidirectional paracrine signaling, both in the longitudinal and transversal directions. The semi-discrete...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6fef618937b87144eb6d055c16138f30
https://doi.org/10.1080/17455030.2019.1644465
https://doi.org/10.1080/17455030.2019.1644465
Publikováno v:
Chaos, Solitons & Fractals. 123:116-123
The competitive effect between electric and magnetic flux couplings is used, in the context of modulational instability, to describe the collective dynamics in a modified Hindmarsh–Rose neural networks. The multiple-scale expansion is utilized to r
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::022a58081235b1fe97aa93a33aec4164
https://doi.org/10.1016/j.chaos.2019.03.028
https://doi.org/10.1016/j.chaos.2019.03.028
Publikováno v:
Communications in Nonlinear Science and Numerical Simulation. 72:432-440
We examine two main behaviors including, firing activity and neuronal synchronization in a Hindmarsh–Rose neural network under magnetic stimulation. We use the theory of bifurcation analysis to seek the control parameters domains in which neuronal
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84157ae42ebbe16b656f2795f544e070
https://doi.org/10.1016/j.cnsns.2019.01.004
https://doi.org/10.1016/j.cnsns.2019.01.004
Publikováno v:
Chaos, Solitons & Fractals. 104:813-826
Two electrically coupled Hindmarsh–Rose neural networks are considered, each including power-law long-range dispersive interactions. The whole dynamics of the system is reduced to a set of two coupled complex Ginzburg–Landau equations. The linear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9c0abca0b2fc4c40fcf01397d677bc4
https://doi.org/10.1016/j.chaos.2017.09.037
https://doi.org/10.1016/j.chaos.2017.09.037
Publikováno v:
Physica A: Statistical Mechanics and its Applications. 474:186-198
In this work, we explicitly show the existence of two frequency regimes in a two-dimensional Hindmarsh–Rose neural network. Each of the regimes, through the semi-discrete approximation, is shown to be described by a two-dimensional complex Ginzburg
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::84909f2586d690f9bf65bc8fed6daedb
https://doi.org/10.1016/j.physa.2017.01.075
https://doi.org/10.1016/j.physa.2017.01.075
Publikováno v:
Communications in Nonlinear Science and Numerical Simulation. 43:211-219
Long-range diffusive effects are included in a discrete Hindmarsh–Rose neural network. Their impact on the emergence of nonlinear patterns is investigated via the modulational instability. The whole system is first shown to fully reduce to a single
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::cd060f91ae3d3addb4b5cea48048b3fc
https://doi.org/10.1016/j.cnsns.2016.07.005
https://doi.org/10.1016/j.cnsns.2016.07.005
Publikováno v:
Communications in Nonlinear Science and Numerical Simulation. 84:105208
We consider a model network of diffusively coupled Hindmarsh-Rose neurons to study both analytically and numerically, long-range memory effects on the modulational instability phenomenon, chaotic, synchronous and chimera states within the network. Th
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4619d3c57a8fa601dcab69c2dbb5be2b
https://doi.org/10.1016/j.cnsns.2020.105208
https://doi.org/10.1016/j.cnsns.2020.105208
Publikováno v:
Physics Letters A. 384:126133
Flow-driven formation of unstable patterns of cyclic adenosine monophosphate (cAMP) is investigated in the Martiel-Goldbeter (MG) model. This is predicted via a complex Ginzburg-Landau equation, derived from the MG model, under the so-called modulati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d9aa22e7062f493c9a5161b57a1d200c
https://doi.org/10.1016/j.physleta.2019.126133
https://doi.org/10.1016/j.physleta.2019.126133