Quantization Framework for Fast Spiking Neural Networks

Quantization Framework for Fast Spiking Neural Networks

Compared with artificial neural networks (ANNs), spiking neural networks (SNNs) offer additional temporal dynamics with the compromise of lower information transmission rates through the use of spikes. When using an ANN-to-SNN conversion technique there is a direct link between the activation bit pr...

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Bibliographic Details
Main Authors: Chen Li, Lei Ma, Steve Furber
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-07-01
Series:Frontiers in Neuroscience
Subjects:
spiking neural networks
fast spiking neural networks
ANN-to-SNN conversion
inference latency
quantization
occasional noise
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2022.918793/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2022.918793/full

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