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 volume, veracity, variability, and velocity of data produced from the ever increasing
network of sensors connected to Internet pose challenges for power management …

This tutorial describes challenges and possible avenues for the implementation of the
components of a solid-state system, which emulates a biological brain. The tutorial is …

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 …

This paper proposes a novel identification method for memristive devices using Knowm
memristors as an example. The suggested identification method is presented as a …

It has been suggested that all resistive‐switching memory cells are memristors. The latter
are hypothetical, ideal devices whose resistance, as originally formulated, depends only on …

Memristive devices represent a promising technology for building neuromorphic electronic
systems. In addition to their compactness and non-volatility, they are characterized by their …

The use of memristors and resistive random access memory (ReRAM) technology to perform
logic computations, has drawn considerable attention from researchers in recent years …

The human brain is able to integrate a myriad of information in an enormous and massively
parallel network of neurons that are divided into functionally specialized regions such as the …

Memristive stateful logic enables complete in‐memory computing, allowing low‐power and
low‐cost Boolean computing. Its characteristics are consistent with the requirements of edge …