Preprint
Aug 2026
PTQ4SNN: Membrane-Aware Post-Training Quantization for Spiking Neural Networks
PTQ4SNN is proposed, a membrane-aware post-training quantization framework that jointly quantizes weights and recurrent membrane states using only a small calibration set and effectively preserves model accuracy under W4 quantization and approximately 4-bit membrane precision.
Hui Xie, Tong Shi, Haotong Qin et al.
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