Spiking neural networks (SNNs) offer a promising energy-efficient alternative to artificial
neural networks (ANNs), in virtue of their high biological plausibility, rich spatial-temporal …

Neuromorphic electronics have great potential in the emulation of the sensory, cognitive, self-
learning, and actuating functions of robots. While typically implemented in rigid silicon …

The von Neumann architecture with separate memory and processing presents a serious
challenge in terms of device integration, power consumption, and real-time information …

The structure and mechanism of the human visual system contain rich treasures, and
surprising effects can be achieved by simulating the human visual system. In this article …

With the development of the Internet of Things (IoT), intelligent security systems, assisted
driving and artificial intelligence, traditional machine vision sensors no longer meet the …

Numerous fields, such as the military, agriculture, energy, welding, and automation of
surveillance, have benefited greatly from autonomous robots' contributions. Since mobile …

The widespread adoption of bio-inspired cameras has catalyzed the development of spike-
based intelligent applications. Despite its innovative imaging principle allows for …

Robotic automation has always been employed to optimize tasks that are deemed repetitive
or hazardous for humans. One instance of such an application is within transportation, be it …

Unlike traditional video cameras, event cameras capture asynchronous event streams in
which each event encodes pixel location, triggers' timestamps, and the polarity of brightness …

In order to solve the problems of limited computing resources on the fuselage and
autonomous recognition of visual images during the real-time control of the flap**-wing …