AI RESEARCH
Stable Spike: Dual Consistency Optimization via Bitwise AND Operations for Spiking Neural Networks
arXiv CS.AI
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ArXi:2603.11676v1 Announce Type: cross Although the temporal spike dynamics of spiking neural networks (SNNs) enable low-power temporal pattern capture capabilities, they also incur inherent inconsistencies that severely compromise representation. In this paper, we perform dual consistency optimization via Stable Spike to mitigate this problem, thereby improving the recognition performance of SNNs.