Resistive random access memory would be an important component of microelectronics in
the era of big data storage due to its efficient characteristics such as low cost, fast operating …

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 …

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

We propose a stochastic model for a memristive system by generalizing known approaches
and experimental results. We validate our theoretical model by experiments carried out on a …

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 …

Variability of resistive switching is a key problem for application of memristive devices in
emerging information‐computing systems. Achieving a stable switching between the …

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 …

The low-frequency noise in a nanometer-sized virtual memristor consisting of a contact of a
conductive atomic force microscope (CAFM) probe to an yttria stabilized zirconia (YSZ) thin …