The study of dynamics on artificial neurons and neuronal networks is of great significance to
understand brain functions and develop neuromorphic systems. Recently, memristive …

Played as an important nonlinear electric device, memristor is often used to build a variety of
nonlinear circuits, which can produce a variety of modes in oscillation. Due to the memory …

This paper proposes a kind of nonvolatile locally active memristor. The three fingerprints for
distinguishing memristor is verified by the stable and coexisting pinched hysteresis loops …

The nonlinear characteristics are studied in a new 4D Hopfield neural network model with
two nonlinear synaptic weights in this paper. The synaptic function is modeled by …

When possessing a potential difference between two neurons, an electromagnetic induction
current appears in the Hopfield neural network (HNN), which can be emulated by a flux …

The present study proposes a new fractional-order hyperchaotic memristor oscillator. The
proposed system is studied through numerical simulations and analyses, such as the …

Due to the existence of membrane potential differences, the electromagnetic induction flows
can be induced in the interconnected neurons of Hopfield neural network (HNN). To express …

Memristor synapse can be used to characterize the electromagnetic induction effect
between two neurons that induces an action current by their membrane potential difference …

In this paper, we focus on a novel simple chaotic circuit with a memristor, a memcapacitor
and a linear inductor in parallel. Then we establish the circuit's dimensionless mathematical …

Some nonlinear circuits can present similar dynamical properties in the outputs as biological
neurons by taming the external stimulus and bifurcation parameter, and they can be used for …