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