Optoelectronic memristors (OMs) have emerged as a promising optoelectronic
Neuromorphic computing paradigm, opening up new opportunities for neurosynaptic …

The development of artificial intelligence has posed a challenge to machine vision based on
conventional complementary metal‐oxide semiconductor (CMOS) circuits owing to its high …

Photoelectric synaptic devices with optical sensing capability are of great importance in
simulating human vision systems. Especially realizing all‐in‐one vision neuristor on silicon …

Artificial synapse devices are dedicated to overcoming the von Neumann bottleneck.
Adopting light signals in visual information processing and computing is vital for developing …

Natural organisms have evolved various biological ion channels to make timely responses
toward different physical and/or chemical stimuli, giving guidance to construct artificial …

Near‐infrared (NIR) synaptic devices have attracted great attention in the field of NIR vision
sensors due to their highly parallel sensing and memory functions, which emulate the basic …

Manipulating the expression of synaptic plasticity of neuromorphic devices provides
fascinating opportunities to develop hardware platforms for artificial intelligence. However …

The photoelectric synaptic devices with the bidirectional optical response and multilevel
nonvolatile all‐optical pulse control are the basis for constructing the sensing‐memory …

To overcome the intrinsic inefficiency of the von Neumann architecture, neuromorphic
devices that perform analog vector–matrix multiplication have been highlighted for achieving …

In this study, we introduce a simple black phosphorus (BP) metasurface consisting of a
square BP sheet placed on a silicon substrate. The proposed metasurface achieves perfect …