Multiple non-linear systems demonstrate the phenomenon where fluctuations enhance the
synchronization and periodic behaviors of the system. In the phenomenon induced by …

In this article, a single nonautonomous Hopfield neuron is investigated. This neuron involves
a new hyperbolic-type memristor as self-synaptic weight. The current–voltage characteristics …

In this article, a new model of Hopfield Neural Network (HNN) with two neurons considering
a synaptic weight with a hyperbolic-type memristor is studied. Equilibrium points analysis …

In this contribution, the nonlinear dynamics of a non-autonomous model of two neurons
based on the Hopfield neural network is considered. Using activation gradients as …

Cell studies play an important role in the basis of studies on cancer diagnosis and treatment.
Reliable viability assays on cancer cell studies are essential for the development of effective …

In this paper, we introduce a novel snap system with a unique parameterized piecewise
quadratic nonlinearity in the form ψ nx= x-nx-dxx where n controls the symmetry of the …

Josephson junction resonators are the devices which exhibit complex behaviours as a
consequence of their inductive properties. Even though the insulating medium between …

In this paper, a static volt-ampere-reactive compensator (SVC) composed of fixed capacitor-
thyristor controlled reactor (FC-TCR) is employed to regulate the terminal voltage of self …

In this study, for the first time in the literature, a Variable-Order Fractional Hopfield Neural
Network Under Electromagnetic Radiation (VOFHNNUER) has been presented. Also, for the …

In this paper, the chaotic analysis is predicted based on the non-periodic motion of the
follower. Non-periodic motion of the follower has been investigated by using the conception …