Resistive memories are outstanding electron devices that have displayed a large potential in
a plethora of applications such as nonvolatile data storage, neuromorphic computing …

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 …

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 …

A predefined-time chaos synchronization scheme of memristor chaotic systems with
simplified control inputs is investigated. Firstly, a predefined-time synchronization (PTS) …

We present a novel closed-loop system designed to integrate biological and artificial
neurons of the oscillatory type into a unified circuit. The system comprises an electronic …

In this paper, circuit implementation of a leaky integrate-and-fire neuron model with a volatile
memristor was proposed and simulated in the SPICE simulation environment. We …

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 work, we fabricated a Pt/SiN/TaN memristor device and characterized its resistive
switching by controlling the compliance current and switching polarity. The chemical and …

The influence of the epileptiform neuronal activity on the response of a CMOS-integrated
ZrO 2 (Y)-based memristive crossbar and its conductivity was studied. Epileptiform neuronal …