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

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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Bibliographic Details
Main Authors: Ugurcan Cakal, Maryada, Chenxi Wu, Ilkay Ulusoy, Dylan Richard Muir
Format: Article
Language:English
Published: IOP Publishing 2024-01-01
Series:Neuromorphic Computing and Engineering
Subjects:
mixed-signal
neuromorphic
spiking neural networks
DYNAP-SE2
Online Access:https://doi.org/10.1088/2634-4386/ad2ec3

Internet

https://doi.org/10.1088/2634-4386/ad2ec3

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