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

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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Bibliographic Details
Main Authors: Haoran Gao, Junxian He, Haibing Wang, Tengxiao Wang, Zhengqing Zhong, Jianyi Yu, Ying Wang, Min Tian, Cong Shi
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-03-01
Series:Frontiers in Neuroscience
Subjects:
neuromorphic computing
spiking neural network
ANN-to-SNN conversion
deep SNNs
quantization-aware training
Online Access:https://www.frontiersin.org/articles/10.3389/fnins.2023.1141701/full

Internet

https://www.frontiersin.org/articles/10.3389/fnins.2023.1141701/full

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