IM-LIF: Improved Neuronal Dynamics With Attention Mechanism for Direct Training Deep Spiking Neural Network-Reference-Cited by-同舟云学术

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IM-LIF: Improved Neuronal Dynamics With Attention Mechanism for Direct Training Deep Spiking Neural Network

Published:2024-04 Issue:2 Volume:8 Page:2075-2085
ISSN:2471-285X
Container-title:IEEE Transactions on Emerging Topics in Computational Intelligence
language:
Short-container-title:IEEE Trans. Emerg. Top. Comput. Intell.

Author:

Lian Shuang¹^ORCID,Shen Jiangrong¹^ORCID,Wang Ziming¹^ORCID,Tang Huajin¹^ORCID

Affiliation:

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

Funder

National Natural Science Foundation of China

Key Research and Development Program of Zhejiang

Fellowship from China Postdoctoral Science Foundation

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Link

http://xplorestaging.ieee.org/ielx7/7433297/10480102/10433858.pdf?arnumber=10433858

Reference61 articles.

1. A Low Power, Fully Event-Based Gesture Recognition System

2. Optimal ANN-SNN conversion for high-accuracy and ultra-low-latency spiking neural networks;Bu,2022

3. Attention Mechanisms for Object Recognition With Event-Based Cameras

4. LISNN: Improving Spiking Neural Networks with Lateral Interactions for Robust Object Recognition

5. Empirical evaluation of gated recurrent neural networks on sequence modeling;Chung,2014

Cited by 1 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. Deep Spiking Neural Networks Driven by Adaptive Interval Membrane Potential for Temporal Credit Assignment Problem;IEEE Transactions on Emerging Topics in Computational Intelligence;2024

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