A grand family of two-dimensional (2D) materials and their heterostructures have been
discovered through the extensive experimental and theoretical efforts of chemists, material …

Neuromorphic computing can potentially solve the von Neumann bottleneck of current
mainstream computing because it excels at self‐adaptive learning and highly parallel …

Optoelectronic synapses integrating synaptic and optical-sensing functions exhibit large
advantages in neuromorphic computing for visual information processing and complex …

Being renowned for operating with visible‐light pulses and electrical signals, optoelectronic
memristive synaptic devices have excellent potential for neuromorphic computing systems …

Optoelectronic synaptic transistors with hybrid heterostructure channels have been
extensively developed to construct artificial visual systems, inspired by the human visual …

Optoelectronic logic gates (OELGs) are promising building blocks for next-generation logic
circuits and potential applications in light detection and ranging, machine vision and real …

Imprinting vision as memory is a core attribute of human cognitive learning. Fundamental to
artificial intelligence systems are bioinspired neuromorphic vision components for the visible …

Early processing of visual information takes place in the human retina. Mimicking
neurobiological structures and functionalities of the retina provides a promising pathway to …

Neuromorphic systems can parallelize the perception and computation of information,
making it possible to break through the von Neumann bottleneck. Neuromorphic …

The rapid development of the artificial intelligence field has increased the demand for retina-
inspired neuromorphic vision sensors with integrated sensing, memory, and processing …