Gradient-descent hardware-aware training and deployment for mixed-signal neuromorphic processors

Mixed-signal neuromorphic processors provide extremely low-power operation for edge inference workloads, taking advantage of sparse asynchronous computation within spiking neural networks (SNNs). However, deploying robust applications to these devices is complicated by limited controllability over a...

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Principais autores:	Ugurcan Cakal, Maryada, Chenxi Wu, Ilkay Ulusoy, Dylan Richard Muir
Format:	Artigo
Jezik:	Inglês
Izdano:	IOP Publishing 2024-01-01
Serija:	Neuromorphic Computing and Engineering
Teme:	mixed-signal neuromorphic spiking neural networks DYNAP-SE2
Online dostop:	https://doi.org/10.1088/2634-4386/ad2ec3
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