Rectified Linear Postsynaptic Potential Function for Backpropagation in Deep Spiking Neural Networks-Reference-Cited by-同舟云学术

Rectified Linear Postsynaptic Potential Function for Backpropagation in Deep Spiking Neural Networks

Published:2021 Issue: Volume: Page:1-12
ISSN:2162-237X
Container-title:IEEE Transactions on Neural Networks and Learning Systems
language:
Short-container-title:IEEE Trans. Neural Netw. Learning Syst.

Author:

Zhang Malu^ORCID,Wang Jiadong^ORCID,Wu Jibin^ORCID,Belatreche Ammar^ORCID,Amornpaisannon Burin,Zhang Zhixuan,Miriyala Venkata Pavan Kumar^ORCID,Qu Hong^ORCID,Chua Yansong^ORCID,Carlson Trevor E.,Li Haizhou^ORCID

Funder

National Key Research and Development Program of China

Singapore Governments Research Innovation and Enterprise 2020 Plan Advanced Manufacturing and Engineering Domain

Science and Engineering Research Council Agency of Science Technology and Research Singapore through the National Robotics Program

National Natural Science Foundation of China

China Postdoctoral Science Foundation

Zhejiang Labs International Talent Found for Young Professionals

Zhejiang Laboratory

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

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

Link

http://xplorestaging.ieee.org/ielx7/5962385/6104215/09540752.pdf?arnumber=9540752

Cited by 103 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. Delay learning based on temporal coding in Spiking Neural Networks;Neural Networks;2024-12

2. Adaptive structure generation and neuronal differentiation for memory encoding in SNNs;Neurocomputing;2024-12

3. Learning to Guide Particle Search for Dynamic Multiobjective Optimization;IEEE Transactions on Cybernetics;2024-09

4. High-performance deep spiking neural networks with 0.3 spikes per neuron;Nature Communications;2024-08-09

5. Spiking neural networks with consistent mapping relations allow high-accuracy inference;Information Sciences;2024-08