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 …

Dense crossbar arrays of non-volatile memory (NVM) devices represent one possible path
for implementing massively-parallel and highly energy-efficient neuromorphic computing …

Neuromorphic computing has come to refer to a variety of brain-inspired computers, devices,
and models that contrast the pervasive von Neumann computer architecture. This …

In this paper, the recent progress of synaptic electronics is reviewed. The basics of biological
synaptic plasticity and learning are described. The material properties and electrical …

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 …

Conventional neuro-computing architectures and artificial neural networks have often been
developed with no or loose connections to neuroscience. As a consequence, they have …

Spin-transfer torque magnetic memory (STT-MRAM) is currently under intense academic
and industrial development, since it features non-volatility, high write and read speed and …

Brain-inspired neuromorphic computing emulates the biological functions of the human
brain to achieve highly intensive data processing with low power consumption. In particular …

Developing a high-efficiency neuromorphic hardware network is essential to achieve
complex artificial intelligence. Here, for the first time, we propose a multi-neuromorphic …

On the basis of recent research, brain-inspired parallel computing is considered as one of
the most promising technologies for efficiently handling large amounts of informational data …