Ion migration as well as electron transfer and coupling in resistive switching materials
endow memristors with a physically tunable conductance to resemble synapses, neurons …

Neuromorphic circuits emulating the bio‐brain functionality via artificial devices have
achieved a substantial scientific leap in the past decade. However, even with the advent of …

Recently, in‐sensor computing with individual sensors or multiple connected sensors
directly processing information has been proposed to improve energy, area, and time …

The stochastic resonance phenomenon has been studied experimentally and theoretically
for a state-of-art metal-oxide memristive device based on yttria-stabilized zirconium dioxide …

Neuromorphic computing, an alternative for von Neumann architecture, requires synapse
devices where the data can be stored and computed in the same place. The three-terminal …

Here we provide a perspective concept of neurohybrid memristive chip based on the
combination of living neural networks cultivated in microfluidic/microelectrode system, metal …

Compared to human vision, conventional machine vision composed of an image sensor and
processor suffers from high latency and large power consumption due to physically …

Lead halide perovskites have attracted increasing attention in photovoltaic devices, light‐
emitting diodes, photodetectors, and other fields due to their excellent properties. Besides …

The last few decades have witnessed the rapid development of electronic computers relying
on von Neumann architecture. However, due to the spatial separation of the memory unit …

The design of modern convolutional artificial neural networks (ANNs) composed of formal
neurons copies the architecture of the visual cortex. Signals proceed through a hierarchy …