The traditional von Neumann architecture is gradually failing to meet the urgent need for
highly parallel computing, high-efficiency, and ultra-low power consumption for the current …

Rapid developments in artificial intelligence trigger demands for perception and learning of
external environments through visual perception systems. Neuromorphic devices and …

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

Memristive-based electro-optical neuromorphic hardware takes advantage of both the high-
density of electronic circuits and the high bandwidth of their photonic counterparts, thus …

Inspired by human brain and visual system, optoelectronic memristors-based neuromorphic
computing has attracted the interests of researchers to overcome the limitation of traditional …

Memristive synapses compatible with optogenetic techniques allow for the fast and low-
power manipulation of memory activities using light in artificial neural systems. However …

Photonic computing and neuromorphic computing could address the inherent limitations of
traditional von Neumann architecture and gradually invalidate Moore's law. As photonics …

With the need of the internet of things, big data, and artificial intelligence, creating new
computing architecture is greatly desired for handling data-intensive tasks. Human brain can …

Bio‐inspired neuromorphic vision sensors, integrating optical sensing, and processing
functions have attracted significant attention for developing future low‐power and high …

Implementing synaptic functions with electronic devices is critical to achieve neuromorphic
systems on the hardware platform, as synapses play important roles in brain computing and …