Exploring neuromorphic computing based on spiking neural networks: Algorithms to hardware
Neuromorphic Computing, a concept pioneered in the late 1980s, is receiving a lot of
attention lately due to its promise of reducing the computational energy, latency, as well as …
attention lately due to its promise of reducing the computational energy, latency, as well as …
Event-based vision: A survey
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 …
of capturing images at a fixed rate, they asynchronously measure per-pixel brightness …
Training spiking neural networks using lessons from deep learning
The brain is the perfect place to look for inspiration to develop more efficient neural
networks. The inner workings of our synapses and neurons provide a glimpse at what the …
networks. The inner workings of our synapses and neurons provide a glimpse at what the …
A review of spiking neuromorphic hardware communication systems
Multiple neuromorphic systems use spiking neural networks (SNNs) to perform computation
in a way that is inspired by concepts learned about the human brain. SNNs are artificial …
in a way that is inspired by concepts learned about the human brain. SNNs are artificial …
Front and back illuminated dynamic and active pixel vision sensors comparison
Back side illumination has become standard image sensor technology owing to its superior
quantum efficiency and fill factor. A direct comparison of front and back side illumination (FSI …
quantum efficiency and fill factor. A direct comparison of front and back side illumination (FSI …
Event-based object detection and tracking for space situational awareness
S Afshar, AP Nicholson, A Van Schaik… - IEEE Sensors …, 2020 - ieeexplore.ieee.org
In this work, we present an optical space imaging dataset using a range of event-based
neuromorphic vision sensors. The unique method of operation of event-based sensors …
neuromorphic vision sensors. The unique method of operation of event-based sensors …
Event camera simulator improvements via characterized parameters
It has been more than two decades since the first neuromorphic Dynamic Vision Sensor
(DVS) sensor was invented, and many subsequent prototypes have been built with a wide …
(DVS) sensor was invented, and many subsequent prototypes have been built with a wide …
Pushing the limits of asynchronous graph-based object detection with event cameras
D Gehrig, D Scaramuzza - arXiv preprint arXiv:2211.12324, 2022 - arxiv.org
State-of-the-art machine-learning methods for event cameras treat events as dense
representations and process them with conventional deep neural networks. Thus, they fail to …
representations and process them with conventional deep neural networks. Thus, they fail to …
Event-based sensing and signal processing in the visual, auditory, and olfactory domain: a review
MH Tayarani-Najaran, M Schmuker - Frontiers in Neural Circuits, 2021 - frontiersin.org
The nervous systems converts the physical quantities sensed by its primary receptors into
trains of events that are then processed in the brain. The unmatched efficiency in information …
trains of events that are then processed in the brain. The unmatched efficiency in information …
An electromagnetic perspective of artificial intelligence neuromorphic chips
The emergence of artificial intelligence has represented great potential in solving a wide
range of complex problems. However, traditional general-purpose chips based on von …
range of complex problems. However, traditional general-purpose chips based on von …