Preprint
Aug 2026
Reducing ANN-SNN Conversion Error via Residual Membrane Potential Alignment
This work analyzes flaws of conventional conversion pipelines from residual membrane potential statistics and proposes a novel conversion strategy combining dynamic initial potential tuning and feature enhancement, which generalizes to ReLU CNNs, ANN Transformers, and multi-threshold SNN variants.
Zirui Chen, Zihan Huang, Tong Bu et al.
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