Trainable quantization for Speedy Spiking Neural Networks

Trainable quantization for Speedy Spiking Neural Networks

Spiking neural networks are considered as the third generation of Artificial Neural Networks. SNNs perform computation using neurons and synapses that communicate using binary and asynchronous signals known as spikes. They have attracted significant research interest over the last years since their...

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Bibliographic Details
Main Authors:	Andrea Castagnetti, Alain Pegatoquet, Benoît Miramond
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2023-03-01
Series:	Frontiers in Neuroscience
Subjects:	Spiking Neural Networks quantization error low latency sparsity direct training
Online Access:	https://www.frontiersin.org/articles/10.3389/fnins.2023.1154241/full

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