The synapse is a crucial element in biological neural networks, but a simple electronic
equivalent has been absent. This complicates the development of hardware that imitates …

A memristor is a resistive device with an inherent memory. The theoretical concept of a
memristor was connected to physically measured devices in 2008 and since then there has …

A memristor is a two-terminal electronic device whose conductance can be precisely
modulated by charge or flux through it. Here we experimentally demonstrate a nanoscale …

This article provides a review of current development and challenges in brain-inspired
computing with memristors. We review the mechanisms of various memristive devices that …

Memristors are memory resistors that promise the efficient implementation of synaptic
weights in artificial neural networks. Whereas demonstrations of the synaptic operation of …

Memristor (concatenation of MEMory ResISTOR), is the fourth fundamental circuit element
(joining the resistor, the capacitor and the inductor), predicted by Leon Chua in 1971. This …

We present both an overview and a perspective of recent experimental advances and
proposed new approaches to performing computation using memristors. A memristor is a 2 …

Conventional Von Neumann computing architectures based on CMOS technology are
currently facing challenges termed “the heat and memory wall” in addition to the advent of …

Memristors, acting as artificial synapses, have promised their prospects in neuromorphic
systems that imitate the brain's computing paradigm. However, most studies focused on the …

Synapses are essential elements for computation and information storage in both real and
artificial neural systems. An artificial synapse needs to remember its past dynamical history …