21 citations · 23 across the 2 of their papers we have counts for
4 papers · 1 filter
Synaptic Learning with Augmented Spikes
Qiang Yu, Shiming Song, Chenxiang Ma +2
Traditional neuron models use analog values for information representation and computation, while all-or-nothing spikes are employed in the spiking ones. With a more brain-like pro…
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 (…
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…
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…