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Attention-Based Deep Spiking Neural Networks for Temporal Credit Assignment Problems

  • Published:2023 Issue: Volume: Page:1-11
  • ISSN:2162-237X
  • Container-title:IEEE Transactions on Neural Networks and Learning Systems
  • language:
  • Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Qin Lang1ORCID,Wang Ziming1ORCID,Yan Rui2,Tang Huajin3ORCID

Affiliation:

1. College of Computer Science, Zhejiang University, Hangzhou, China

2. College of Computer Science, Zhejiang University of Technology, Hangzhou, China

3. College of Computer Science and the State Key Laboratory of Brain-Machine Intelligence, Zhejiang University, Hangzhou, China

Funder

National Key Research and Development Program of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Cited by 4 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. Accurate and efficient stock market index prediction: an integrated approach based on VMD-SNNs;Journal of Applied Statistics;2024-09-03

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

3. Deep Spiking Neural Networks Driven by Adaptive Interval Membrane Potential for Temporal Credit Assignment Problem;IEEE Transactions on Emerging Topics in Computational Intelligence;2024

4. A Hybrid Neural Coding Approach for Pattern Recognition with Spiking Neural Networks;IEEE Transactions on Pattern Analysis and Machine Intelligence;2023
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