In this review, a comprehensive survey of different oxide-based resistive random-access
memories (RRAMs) for neuromorphic computing is provided. We begin with the history of …

Neuromorphic architectures are hardware systems that aim to use the principles of neural
function for their basis of operation. Their goal is to harness biologically inspired concepts …

Neuromorphic computing has emerged as a promising avenue towards building the next
generation of intelligent computing systems. It has been proposed that memristive devices …

In an increasingly data-rich world the need for developing computing systems that cannot
only process, but ideally also interpret big data is becoming continuously more pressing …

CMOS technology and its sustainable scaling have been the enablers for the design and
manufacturing of computer architectures that have been fuelling a wider range of …

Inspired by biology, significant advances have been made in the field of electronic skin
(eSkin) or tactile skin. Many of these advances have come through mimicking the …

Although the structure and function of the human brain are still far from being fully
understood, brain‐inspired computing architectures mainly consisting of artificial neurons …

Memristive devices are essential for artificial neural networks (ANNs) due to their similarity to
biological synapses and neurons in structure, dynamics, and electrical behaviors. By …

Inspired by biology, neuromorphic systems have been trying to emulate the human brain for
decades, taking advantage of its massive parallelism and sparse information coding …

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 …