"FSNAP: An Ultra-Energy-Efficient Few-Spikes-Neuron Based Reconfigurable ..."

Ruixin Mao et al. (2024)

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DOI: 10.1109/VLSITECHNOLOGYANDCIR46783.2024.10631414

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type: Conference or Workshop Paper

metadata version: 2025-03-03

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Ruixin Mao, Lin Tang, Zihan Xia, Zhaomin Zhang, Aoyu Shen, Yu Long, Jinhong Guo, Yunpeng He, Lai Zhang, Shujuan Wang, Liang Zhou, Liang Chang, Shanshan Liu, Jun Zhou:
FSNAP: An Ultra-Energy-Efficient Few-Spikes-Neuron Based Reconfigurable SNN Processor Enabling Unified On-Chip Learning and Accuracy-Driven Adaptive Time-Window Tuning. VLSI Technology and Circuits 2024: 1-2

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