Memristive devices are electrical resistance switches that can retain a state of internal
resistance based on the history of applied voltage and current. These devices can store and …

Abstract From Deep Blue to AlphaGo, artificial intelligence and machine learning are
booming, and neural networks have become the hot research direction. However, due to the …

Modern computation based on von Neumann architecture is now a mature cutting-edge
science. In the von Neumann architecture, processing and memory units are implemented …

The accumulation and extrusion of Ca2+ in the pre-and postsynaptic compartments play a
critical role in initiating plastic changes in biological synapses. To emulate this fundamental …

In science and technology today, the crucial importance of the regulation of nanoscale
objects and structures is well recognized. The production of functional material systems …

This review article attempts to provide a comprehensive review of the recent progress in the
so-called resistive random access memories (RRAMs). First, a brief introduction is presented …

Using memristor crossbar arrays to accelerate computations is a promising approach to
efficiently implement algorithms in deep neural networks. Early demonstrations, however …

Synaptic devices, including synaptic memristor and synaptic transistor, are emerging
nanoelectronic devices, which are expected to subvert traditional data storage and …

Artificial neurons and synapses are considered essential for the progress of the future brain‐
inspired computing, based on beyond von Neumann architectures. Here, a discussion on …

A detailed understanding of the resistive switching mechanisms that operate in redox-based
resistive random-access memories (ReRAM) is key to controlling these memristive devices …