Nanoscale metal oxide memristors have potential in the development of brain-inspired
computing systems that are scalable and efficient. In such systems, memristors represent the …

Memristors have been extensively studied for data storage and low-power computation
applications. In this study, we show that memristors offer more than simple resistance …

Metal-oxide memristors have emerged as promising candidates for hardware
implementation of artificial synapses–the key components of high-performance, analog …

The memristor, characterized by its nano-size, nonvolatility, and continuously adjustable
resistance, is a promising candidate for constructing brain-inspired computing. It operates …

A memristor is a two-terminal electronic device whose conductance can be precisely
modulated by charge or flux through it. Here we experimentally demonstrate a nanoscale …

This article provides a review of current development and challenges in brain-inspired
computing with memristors. We review the mechanisms of various memristive devices that …

Memristors have demonstrated immense potential as building blocks in future adaptive
neuromorphic architectures. Recently, there has been focus on emulating specific synaptic …

Advanced neural interfaces mediate a bioelectronic link between the nervous system and
microelectronic devices, bearing great potential as innovative therapy for various diseases …

Memristors mimic synaptic functions in advanced electronics and image sensors, thereby
enabling brain-inspired neuromorphic computing to overcome the limitations of the von …

A critical routine for memristors applied to neuromorphic computing is to approximate
synaptic dynamic behaviors as closely as possible. A type of homogenous bilayer memristor …