87 citations · 147 across the 47 of their papers we have counts for
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cs.NE2020
Constructing Accurate and Efficient Deep Spiking Neural Networks with Double-threshold and Augmented Schemes
Qiang Yu, Chenxiang Ma, Shiming Song +3
Spiking neural networks (SNNs) are considered as a potential candidate to overcome current challenges such as the high-power consumption encountered by artificial neural networks (…
cs.NE2020★ 21 cited
Towards Efficient Processing and Learning with Spikes: New Approaches for Multi-Spike Learning
Qiang Yu, Shenglan Li, Huajin Tang +3
Spikes are the currency in central nervous systems for information transmission and processing. They are also believed to play an essential role in low-power consumption of the bio…
cs.NE2019★ 2 cited
Robust Environmental Sound Recognition with Sparse Key-point Encoding and Efficient Multi-spike Learning
Qiang Yu, Yanli Yao, Longbiao Wang +3
The capability for environmental sound recognition (ESR) can determine the fitness of individuals in a way to avoid dangers or pursue opportunities when critical sound events occur…