HybridSNN: Combining Bio-Machine Strengths by Boosting Adaptive Spiking Neural Networks

Shen, J, Zhao, Y, Liu, JK orcid.org/0000-0002-5391-7213 et al. (1 more author) (2023) HybridSNN: Combining Bio-Machine Strengths by Boosting Adaptive Spiking Neural Networks. IEEE Transactions on Neural Networks and Learning Systems, 34 (9). 5841 -5855. ISSN 2162-237X

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Item Type: Article
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Keywords: Adaptive structures; boosting; HybridSNN; spiking neural networks (SNNs)
Dates:
  • Published: September 2023
  • Published (online): 10 December 2021
  • Accepted: 1 December 2021
Institution: The University of Leeds
Academic Units: The University of Leeds > Faculty of Engineering & Physical Sciences (Leeds) > School of Computing (Leeds)
Depositing User: Symplectic Publications
Date Deposited: 14 Dec 2021 15:25
Last Modified: 24 May 2024 01:30
Status: Published
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Identification Number: 10.1109/tnnls.2021.3131356
Open Archives Initiative ID (OAI ID):

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