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 ReSpike: Residual Frames-based Hybrid Spiking Neural Networks for
Efficient Action RecognitionNeuromorphic Computing and Engineering (NCE), 2024 |
 Direct Training High-Performance Deep Spiking Neural Networks: A Review
of Theories and MethodsFrontiers in Neuroscience (Front. Neurosci.), 2024 |
 Direct Learning-Based Deep Spiking Neural Networks: A ReviewFrontiers in Neuroscience (Front. Neurosci.), 2023 |
 Accurate online training of dynamical spiking neural networks through
Forward Propagation Through TimeNature Machine Intelligence (NMI), 2021 |
 R-SNN: An Analysis and Design Methodology for Robustifying Spiking
Neural Networks against Adversarial Attacks through Noise Filters for Dynamic
Vision SensorsIEEE/RJS International Conference on Intelligent RObots and Systems (IROS), 2021 |
 Temporal-Coded Deep Spiking Neural Network with Easy Training and Robust
PerformanceAAAI Conference on Artificial Intelligence (AAAI), 2019 |
