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 …

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 …

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

Inspired by biological neural systems, neuromorphic devices may open up new computing
paradigms to explore cognition, learning and limits of parallel computation. Here we report …

Redox-based nanoionic resistive memory cells are one of the most promising emerging
nanodevices for future information technology with applications for memory, logic and …

In this paper we review several ways of realizing asynchronous Spike-Timing-Dependent-
Plasticity (STDP) using memristors as synapses. Our focus is on how to use individual …

Human beings and animals can easily recognize various objects and make sense out of a
large amount of visual information in a complex, real-world environment. It has been …

Compact and power-efficient plastic electronic synapses are of fundamental importance to
overcoming the bottlenecks of developing a neuromorphic chip. Memristor is a strong …

Historically, the application of phase‐change materials and devices has been limited to the
provision of non‐volatile memories. Recently, however, the potential has been …

In this study, a memristor with the simple structure Ag/poly (3, 4-ethylenedioxythiophene):
poly (styrenesulphonate)(PEDOT: PSS)/Ta was fabricated. Essential synaptic plasticity and …