The design of modern convolutional artificial neural networks (ANNs) composed of formal
neurons copies the architecture of the visual cortex. Signals proceed through a hierarchy …

This study concentrates on the analysis of a stochastic SIC epidemic system with an
enhanced and general perturbation. Given the intricacy of some impulses caused by …

The effective mimicry of neurons is key to the development of neuromorphic electronics.
However, artificial neurons are not typically capable of operating in biological environments …

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 piezoelectric ceramic can convert external mechanical force and vibration into electric
signals by producing distinct output voltage when certain deformation is induced. As a result …

Цифровые технологии меняют современное общество, скорость и масштаб изменений
возрастают, что вызывает необходимость для права реагировать на происходящие …

Controllable multilevel resistive switching (RS) and neuromorphic characteristics emerges
as a promising paradigm to build power-efficient computing hardware for high density data …

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 …

Building bidirectional biointerfaces is one of the key challenges of modern engineering and
medicine, with dramatic potential impact on bioprosthetics. Two of the major challenges of …