The stochastic resonance phenomenon has been studied experimentally and theoretically
for a state-of-art metal-oxide memristive device based on yttria-stabilized zirconium dioxide …

We investigate the constructive role of an external noise signal, in the form of a low-rate
Poisson sequence of pulses supplied to all inputs of a spiking neural network, consisting in …

A revision of the different numerical techniques employed to extract resistive switching (RS)
and modeling parameters is presented. The set and reset voltages, commonly used for …

Here we provide a perspective concept of neurohybrid memristive chip based on the
combination of living neural networks cultivated in microfluidic/microelectrode system, metal …

Neuromorphic systems must have at least five unavoidable features that are present in living
beings. First, neuromorphic systems must perform memorizing and processing functions …

Memelements play an important part in the design of high density memory systems and low
power memory. In this paper, we created a novel fractional-order chaotic circuit with a …

Multilevel operation is one of the most essential properties for synaptic devices to realize
hardware artificial neural networks. Compliance current (I cc) adjustment is a multilevel …

In order to improve the engineering feasibility of the memristive cellular neural network, a
new memristor model with the smooth characteristic curve is designed. Based on the new …

This paper proposes and studies the dynamics of a Holling-type II predator–prey interaction
system that incorporates the following three components:(1) a prey refuge;(2) predation fear …

In this work, a built-in selector synaptic memristor is proposed to minimize sneak current in
synapse array. The Ti/TiO 2/HfO 2/Si device exhibits nonlinear and high rectifying current …