A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks
10.1109/TNNLS.2021.3095724
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sg-nus-scholar.10635-2188972024-11-15T14:19:43Z A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks JIBIN WU ZHANG MALU CHUA YANSONG LI GUOQI Li, H. Tan Kay Chen ELECTRICAL & COMPUTER ENGINEERING 10.1109/TNNLS.2021.3095724 IEEE Transactions on Neural Networks and Learning Systems 1 - 15 2022-04-11T08:48:42Z 2022-04-11T08:48:42Z 2021-07-21 Article JIBIN WU, ZHANG MALU, CHUA YANSONG, LI GUOQI, Li, H., Tan Kay Chen (2021-07-21). A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks. IEEE Transactions on Neural Networks and Learning Systems : 1 - 15. ScholarBank@NUS Repository. https://doi.org/10.1109/TNNLS.2021.3095724 2162-237X 2162-2388 https://scholarbank.nus.edu.sg/handle/10635/218897 |
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10.1109/TNNLS.2021.3095724 |
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ELECTRICAL & COMPUTER ENGINEERING |
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ELECTRICAL & COMPUTER ENGINEERING JIBIN WU ZHANG MALU CHUA YANSONG LI GUOQI Li, H. Tan Kay Chen |
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JIBIN WU ZHANG MALU CHUA YANSONG LI GUOQI Li, H. Tan Kay Chen |
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JIBIN WU ZHANG MALU CHUA YANSONG LI GUOQI Li, H. Tan Kay Chen A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks |
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JIBIN WU |
title |
A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks |
title_short |
A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks |
title_full |
A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks |
title_fullStr |
A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks |
title_full_unstemmed |
A Tandem Learning Rule for Effective Training and Rapid Inference of Deep Spiking Neural Networks |
title_sort |
tandem learning rule for effective training and rapid inference of deep spiking neural networks |
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2022 |
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https://scholarbank.nus.edu.sg/handle/10635/218897 |
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