Gradual Surrogate Gradient Learning in Deep Spiking Neural Networks

Spiking Neural Network (SNN) is a promising solution for ultra-low-power hardware. Recent SNNs have reached the performance of Deep Neural Networks (DNNs) in dealing with many tasks. However, these methods often suffer from a long simulation time to achieve the accurate spike train information. In a...

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Vydané v:	Proceedings of the ... IEEE International Conference on Acoustics, Speech and Signal Processing (1998) s. 8927 - 8931
Hlavní autori:	Chen, Yi, Zhang, Silin, Ren, Shiyu, Qu, Hong
Médium:	Konferenčný príspevok..
Jazyk:	English
Vydavateľské údaje:	IEEE 23.05.2022
Predmet:	Deep learning Hardware Learning systems Neurons Signal processing Signal processing algorithms Spiking Neural Networks Spiking Neuron Model Surrogate Gradient Training
ISSN:	2379-190X
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