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Constructing Accurate and Efficient Deep Spiking Neural Networks With Double-Threshold and Augmented Schemes

  • Published:2021 Issue: Volume: Page:1-13
  • ISSN:2162-237X
  • Container-title:IEEE Transactions on Neural Networks and Learning Systems
  • language:
  • Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Yu QiangORCID,Ma ChenxiangORCID,Song Shiming,Zhang GaoyanORCID,Dang JianwuORCID,Tan Kay ChenORCID

Funder

National Natural Science Foundation of China

Zhejiang Lab

Natural Science Foundation of Tianjin

Research Grants Council of the Hong Kong SAR

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Computer Networks and Communications,Computer Science Applications,Software

Cited by 35 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SMS: Spiking marching scheme for efficient long time integration of differential equations;Journal of Computational Physics;2024-11

2. Adaptive Multi-Level Firing for Direct Training Deep Spiking Neural Networks;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

3. Efficient Online Learning for Networks of Two-Compartment Spiking Neurons;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

4. IM-LIF: Improved Neuronal Dynamics With Attention Mechanism for Direct Training Deep Spiking Neural Network;IEEE Transactions on Emerging Topics in Computational Intelligence;2024-04

5. Multi-LRA: Multi logical residual architecture for spiking neural networks;Information Sciences;2024-03
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