Simulating biological synapses with electronic devices is a re‐emerging field of research. It
is widely recognized as the first step in hardware building brain‐like computers and artificial …

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

Exploration of optoelectronic memristors with the capability to combine sensing and
processing functions is required to promote development of efficient neuromorphic vision. In …

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

Brain-inspired electronics require artificial synapses that have ultra-low energy
consumption, high operating speed, and stable flexibility. Here, we demonstrate a flexible …

Neuromorphic computing simulates the operation of biological brain function for information
processing and can potentially solve the bottleneck of the von Neumann architecture. This …

Being capable of dealing with both electrical signals and light, artificial optoelectronic
synapses are of great importance for neuromorphic computing and are receiving a …

As Si has faced physical limits on further scaling down, novel semiconducting materials such
as 2D transition metal dichalcogenides and oxide semiconductors (OSs) have gained …

With the rapid development of next-generation artificial intelligence technology, research on
advanced machine vision has received extensive attention. It is well-known that significant …

Photonic artificial synapses‐based neuromorphic computing systems have been regarded
as promising candidates for replacing von Neumann‐based computing systems due to the …