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Spatial-Temporal Self-Attention for Asynchronous Spiking Neural Networks.

, , , , , and . IJCAI, page 3085-3093. ijcai.org, (2023)

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Neural Population Coding for Effective Temporal Classification., , , , and . IJCNN, page 1-8. IEEE, (2019)Tensor Decomposition Based Attention Module for Spiking Neural Networks., , , , , and . CoRR, (2023)Spiking-LEAF: A Learnable Auditory front-end for Spiking Neural Networks., , , , and . CoRR, (2023)Supervised learning in spiking neural networks with synaptic delay-weight plasticity., , , , , , , , and . Neurocomputing, (2020)MPD-AL: An Efficient Membrane Potential Driven Aggregate-Label Learning Algorithm for Spiking Neurons., , , , , , and . AAAI, page 1327-1334. AAAI Press, (2019)Deep Spiking Neural Network with Spike Count based Learning Rule., , , , , and . IJCNN, page 1-6. IEEE, (2019)Spike-Timing-Dependent Back Propagation in Deep Spiking Neural Networks., , , , , , , and . CoRR, (2020)An Efficient Threshold-Driven Aggregate-Label Learning Algorithm for Multimodal Information Processing., , , , , , , and . IEEE J. Sel. Top. Signal Process., 14 (3): 592-602 (2020)LitE-SNN: Designing Lightweight and Efficient Spiking Neural Network through Spatial-Temporal Compressive Network Search and Joint Optimization., , , , and . CoRR, (2024)ESVAE: An Efficient Spiking Variational Autoencoder with Reparameterizable Poisson Spiking Sampling., , , and . CoRR, (2023)