Memristors, promising nanoelectronic devices with in-memory resistive switching behavior
that is assembled with a physically integrated core processing unit (CPU) and memory unit …

The emergence of memristors with potential applications in data storage and artificial
intelligence has attracted wide attentions. Memristors are assembled in crossbar arrays with …

Optoelectronic synaptic devices that mimic biological synapses are critical building blocks of
artificial neural networks (ANN) based on optoelectronic integration. Here it is shown that an …

The large-scale crossbar array is a promising architecture for hardware-amenable energy
efficient three-dimensional memory and neuromorphic computing systems. While accessing …

Biomemristor has attracted a lot of attention due to its excellent scalability, high flexibility,
easy processing and low fabrication cost. Natural biomaterial and polymer-based memristor …

Given the synergy of optogenetics and bioimaging in neuroscience, it is possible for light to
simultaneously modulate and visualize synaptic events of optoelectronic synaptic devices …

Interplay between ions and electrons endows memristor with promising applications from
the high density storages, memory logic gates to neuromorphic chips. The interplay-induced …

With the advent of the “Big Data Era”, improving data storage density and computation
speed has become more and more urgent due to the rapid growth in different types of data …

Diverse synaptic plasticity with a wide range of timescales in biological synapses plays an
important role in memory, learning, and various signal processing with exceptionally low …

Neuromorphic computing inspired by memristors has gained considerable attention due to
its low power and easy integration. However, state‐of‐the‐art two‐terminal resistive …