22 citations · 35 across the 3 of their papers we have counts for
3 papers
cs.NE2022★ 12 cited
Multi-Level Firing with Spiking DS-ResNet: Enabling Better and Deeper Directly-Trained Spiking Neural Networks
Lang Feng, Qianhui Liu, Huajin Tang +2
Spiking neural networks (SNNs) are bio-inspired neural networks with asynchronous discrete and sparse characteristics, which have increasingly manifested their superiority in low e…
cs.NE2018★ 22 cited
Efficient Spiking Neural Networks with Logarithmic Temporal Coding
Ming Zhang, Nenggan Zheng, De Ma +2
A Spiking Neural Network (SNN) can be trained indirectly by first training an Artificial Neural Network (ANN) with the conventional backpropagation algorithm, then converting it in…
cs.ET2018★ 1 cited
Scalable NoC-based Neuromorphic Hardware Learning and Inference
Haowem Fang, Amar Shrestha, De Ma +1
Bio-inspired neuromorphic hardware is a research direction to approach brain's computational power and energy efficiency. Spiking neural networks (SNN) encode information as sparse…