https://doi.org/10.1140/epjst/e2019-800233-6
Regular Article
A neural memristor system with infinite or without equilibrium
1
School of Aerospace Engineering and Applied Mechanics, Tongji University, Shanghai 200092, P.R. China
2
Department of Physics, Lanzhou University of Technology, Lanzhou 730050, P.R. China
a e-mail: alextianming@126.com
Received:
18
December
2018
Received in final form:
27
January
2019
Published online:
30
July
2019
Memristor has been investigated in dynamical systems. Due to the ionic transportation from extracellular and intracellular, the induction current is excitable in neuron with ion-channels based on the electromagnetic effect. A neural memristor system is reconstructed when the induction current is considered. Furthermore, the dynamical behaviors are calculated by the mathematical approaches, including the bifurcation diagram, time series, and equilibrium point analysis. It is found that the neural memristor system has the infinite equilibrium and no-equilibrium when a bifurcation parameter varies. For the neural model with memristor, its dynamical behaviors can transit from multi-period attractor into strange attractor with varying the bifurcation parameter. It is important to point out that the memory interplay between membrane potential and induction current depends on the initial magnetic flux.
© EDP Sciences, Springer-Verlag GmbH Germany, part of Springer Nature, 2019
