This comprehensive review summarizes state of the art, challenges, and prospects of the
neuro-inspired computing with emerging nonvolatile memory devices. First, we discuss the …

In this review the different concepts of nanoscale resistive switching memory devices are
described and classified according to their I–V behaviour and the underlying physical …

We developed a novel Ag/oxide-based threshold switching device with attractive features
including≈ 1010 nonlinearity. Furthermore, in a high-resolution transmission electron …

Resistive memories enable dramatic energy reductions for neural algorithms. We propose a
general purpose neural architecture that can accelerate many different algorithms and …

We present a review and primer on the subject of conductive bridging random access
memory (CBRAM), a metal ion-based resistive switching technology, in the context of current …

Ion-conducting memristors comprised of the layered chalcogenide materials Ge 2 Se
3/SnSe/Ag are described. The memristor, termed a self-directed channel (SDC) device, can …

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 …

Synapses in biology provide a variety of functions for the neural system. Artificial synaptic
electronics that mimic the biological neuron functions are basic building blocks and …

The exponential increase in data over the last decade presents a significant challenge to
analytics efforts that seek to process and interpret such data for various applications. Neural …

In order to map the computing architecture and intelligent functions of the human brain on
hardware, we need electronic devices that can emulate biological synapses and even …