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fangwei123456 committed Dec 5, 2023
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| [Mitigating Catastrophic Forgetting in Spiking Neural Networks through Threshold Modulation](https://openreview.net/forum?id=15SoThZmtU) | https://github.com/Thvnvtos/Nm-SNN | Transactions on Machine Learning Research |
| [Optical Flow estimation with Event-based Cameras and Spiking Neural Networks](https://arxiv.org/abs/2302.06492) | https://github.com/J-Cuadrado/OF_EV_SNN | Frontiers in Neuroscience |
| [Poster: Backdoor Attacks on Spiking NNs and Neuromorphic Datasets](https://dl.acm.org/doi/10.1145/3548606.3563532) | https://github.com/GorkaAbad/NeuromorphicBackdoors | CCS 2022 |
| [Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic Data](https://arxiv.org/abs/2302.06279) | | |
| [Sneaky Spikes: Uncovering Stealthy Backdoor Attacks in Spiking Neural Networks with Neuromorphic Data](https://arxiv.org/abs/2302.06279) | https://github.com/GorkaAbad/Sneaky-Spikes | NDSS 2024 |
| [SpikeGPT: Generative Pre-trained Language Model with Spiking Neural Networks](https://arxiv.org/abs/2302.13939) | https://github.com/ridgerchu/SpikeGPT | |
| [Trainable quantization for Speedy Spiking Neural Networks](https://www.frontiersin.org/articles/10.3389/fnins.2023.1154241/full) | | Frontiers in Neuroscience |
| [Training-aware Low Precision Quantization in Spiking Neural Networks](https://ieeexplore.ieee.org/abstract/document/10051957) | | Asilomar Conference on Signals, Systems & Computers 2022 |
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