Review of spike-based neuromorphic computing for brain-inspired vision: biology, algorithms, and hardware

Neuromorphic computing is becoming a popular approach for implementations of brain-inspired machine learning tasks. As paradigm both hardware and algorithm design, neuromorphic aims to emulate several aspects related the structure function biological nervous system achieve artificial intelligence with efficiencies that are orders magnitude better than those exhibited by general-purpose hardware. We provide holistic treatment spike-based (i.e., based on spiking neural networks), detailing motivation, key algorithms, survey state-of-the-art In particular, we focus these within context vision applications. Our aim serve as complement existing reviews while also providing unique perspective.