Event cameras are bio-inspired sensors that differ from conventional frame cameras: Instead
of capturing images at a fixed rate, they asynchronously measure per-pixel brightness …

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 …

Neuro-inspired vision systems hold great promise to address the growing demands of mass
data processing for edge computing, a distributed framework that brings computation and …

Image sensors face substantial challenges when dealing with dynamic, diverse and
unpredictable scenes in open-world applications. However, the development of image …

Brain-inspired computing (BIC) is an emerging research field that aims to build fundamental
theories, models, hardware architectures, and application systems toward more general …

State-of-the-art image sensors suffer from significant limitations imposed by their very
principle of operation. These sensors acquire the visual information as a series of “snapshot” …

In this paper we review several ways of realizing asynchronous Spike-Timing-Dependent-
Plasticity (STDP) using memristors as synapses. Our focus is on how to use individual …

Hardware implementations of spiking neurons can be extremely useful for a large variety of
applications, ranging from high-speed modeling of large-scale neural systems to real-time …

This paper introduces a spiking hierarchical model for object recognition which utilizes the
precise timing information inherently present in the output of biologically inspired …

In this paper we present a very exciting overlap between emergent nanotechnology and
neuroscience, which has been discovered by neuromorphic engineers. Specifically, we are …