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NBSSN: A Neuromorphic Binary Single-Spike Neural Network for Efficient Edge Intelligence

Ziyang Shen, Fengshi Tian, Jingwen Jiang, Chaoming Fang, Xiaoyong Xue, Jie Yang and Mohamad Sawan

Paper (2023)

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Department: Department of Electrical Engineering
Funders: Westlake University, STI2030- Major Projects, Science and Technology Commission of Shanghai Municipality
Grant number: 10318A992001, 2022ZD0208805, 22ZR1407100
ISBN: 9781665451093
PolyPublie URL: https://publications.polymtl.ca/74277/
Conference Title: International Symposium on Circuits and Systems (ISCAS 2023)
Conference Location: Monterey, CA, USA
Conference Date(s): 2023-05-21 - 2023-05-25
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/iscas46773.2023.10181850
Official URL: https://doi.org/10.1109/iscas46773.2023.10181850
Date Deposited: 17 Apr 2026 15:10
Last Modified: 17 Apr 2026 15:10
Cite in APA 7: Shen, Z., Tian, F., Jiang, J., Fang, C., Xue, X., Yang, J., & Sawan, M. (2023, May). NBSSN: A Neuromorphic Binary Single-Spike Neural Network for Efficient Edge Intelligence [Paper]. International Symposium on Circuits and Systems (ISCAS 2023), Monterey, CA, USA (5 pages). https://doi.org/10.1109/iscas46773.2023.10181850

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