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IM-Loss: Information Maximization Loss for Spiking Neural Networks., , , , , , and . NeurIPS, (2022)RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks., , , , , , , and . ICCV, page 17345-17355. IEEE, (2023)Membrane Potential Batch Normalization for Spiking Neural Networks., , , , , , , and . ICCV, page 19363-19373. IEEE, (2023)Ternary Spike: Learning Ternary Spikes for Spiking Neural Networks., , , , , , and . AAAI, page 12244-12252. AAAI Press, (2024)Modelling and Analysis of the Cerebrospinal Fluid Flow in the Spinal Cord., , , , and . LSMS/ICSEE (1), volume 761 of Communications in Computer and Information Science, page 77-85. Springer, (2017)Real Spike: Learning Real-Valued Spikes for Spiking Neural Networks., , , , , , , and . ECCV (12), volume 13672 of Lecture Notes in Computer Science, page 52-68. Springer, (2022)Spiking PointNet: Spiking Neural Networks for Point Clouds., , , , , , and . CoRR, (2023)Enhancing Representation of Spiking Neural Networks via Similarity-Sensitive Contrastive Learning., , , , , , and . AAAI, page 16926-16934. AAAI Press, (2024)RecDis-SNN: Rectifying Membrane Potential Distribution for Directly Training Spiking Neural Networks., , , , , , and . CVPR, page 326-335. IEEE, (2022)Reducing Information Loss for Spiking Neural Networks., , , , , , , , and . ECCV (11), volume 13671 of Lecture Notes in Computer Science, page 36-52. Springer, (2022)