High-accuracy deep ANN-to-SNN conversion using quantization-aware training framework and calcium-gated bipolar leaky integrate and fire neuron

Spiking neural networks (SNNs) have attracted intensive attention due to the efficient event-driven computing paradigm. Among SNN training methods, the ANN-to-SNN conversion is usually regarded to achieve state-of-the-art recognition accuracies. However, many existing ANN-to-SNN techniques impose le...

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Autori principali:	Haoran Gao, Junxian He, Haibing Wang, Tengxiao Wang, Zhengqing Zhong, Jianyi Yu, Ying Wang, Min Tian, Cong Shi
Natura:	Artigo
Lingua:	Inglês
Pubblicazione:	Frontiers Media S.A. 2023-03-01
Serie:	Frontiers in Neuroscience
Soggetti:	neuromorphic computing spiking neural network ANN-to-SNN conversion deep SNNs quantization-aware training
Accesso online:	https://www.frontiersin.org/articles/10.3389/fnins.2023.1141701/full
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