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Event-Based Vision at the Edge: A Review

Spiking Neural Networks (SNNs) executed on neuromorphic hardware promise energyefficient, low-latency inference well-suited to edge deployment in size, weight, and powerconstrained environments such as autonomous vehicles, wearable devices, and unmanned aerial platforms. However, a coherent research...

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Автори: Michael Middleton, Teymoor Ali, Epifanios Baikas, Hakan Kayan, Basabdatta Sen Bhattacharya, Elena Gheorghiu, Mark Vousden, Charith Perera, Oliver Rhodes, Martin A. Trefzer
Формат: Artigo
Мова:Inglês
Опубліковано: MDPI AG 2026-04-01
Серія:Brain Sciences
Предмети:
neuromorphic computing
spiking neural networks
neuromorphic hardware
Онлайн доступ:https://www.mdpi.com/2076-3425/16/4/422
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