Ziyang Shen, Fengshi Tian, Jingwen Jiang, Chaoming Fang, Xiaoyong Xue, Jie Yang and Mohamad Sawan
Paper (2023)
An external link is available for this item| Department: | Department of Electrical Engineering |
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| 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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