With the rapid development of artificial intelligence, it has important theoretical and practical
significance to construct neural network models and study their dynamical behaviors. This …

We propose a new model for a neuromorphic olfactory analyzer based on memristive
synapses. The model comprises a layer of receptive neurons that perceive various odors …

This article presents a mathematical and experimental model of a neuronal oscillator with
memristor-based nonlinearity. The mathematical model describes the dynamics of an …

In this study we have investigated the impact of the changes induced by ion irradiation on
the performance and reliability of Au/Ta/ZrO 2 (Y)/Pt/Ti memristive devices. A comprehensive …

A resistance random access memory (RRAM), based on a metal oxide thin film with resistive
switching behavior, has been explored as an emerging candidate for their application as …

In this manuscript, we investigate the memristor-based implementation of neuronal ion
channels in a mathematical model and an experimental circuit for a neuronal oscillator. We …

SiO x-based resistive switching (RS) cells composed of Cu as the active electrode were
fabricated on flexible muscovite mica flakes using DC and radio frequency magnetron …

Variability is an inherent property of memristive devices based on the switching of resistance
in a simple metal–oxide–metal structure compatible with the standard complementary metal …

Due to a complex dynamic behaviour and ability to imitate the important functions of
biological synapses and neurons, memristive devices and systems allow not only the …

Study of spiking neural networks is a promising scientific direction of modern
interdisciplinary research. Spiking networks have demonstrated high efficacy in processing …