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cs.NE2026
Generalization Bounds of Spiking Neural Networks via Rademacher Complexity
Shao-Qun Zhang, Zhi-Hua Zhou
Spiking Neural Networks (SNNs) have garnered increasing attention as one of bio-inspired models due to their great potential in neuromorphic computing and sparse computation. Many…
cs.NE2022★ 1 cited
On the Intrinsic Structures of Spiking Neural Networks
Shao-Qun Zhang, Jia-Yi Chen, Jin-Hui Wu +4
Recent years have emerged a surge of interest in SNNs owing to their remarkable potential to handle time-dependent and event-driven data. The performance of SNNs hinges not only on…