Matlab version of convolutional SNN on MNSIT[1].
Please find another branch for Pytorch version on CIFAR10[2].
For neurmorphic dataset(N-MNIST and DVS-Gesture), please refer to examples of our another projects[3]:
https://github.com/hewh16/SNNs-RNNs
- Python 3.6
- MNIST dataset
- CIFAR10 dataset
- N_MSNIT dataset
After 100 epochs, it can obtain ~ 99.4% acc on MNIST.
- Wu, Yujie, Lei Deng, Guoqi Li, Jun Zhu, and Luping Shi. "Direct Training for Spiking Neural Networks: Faster, Larger, Better." arXiv preprint arXiv:1809.05793 (2018).
- Wu, Yujie, Lei Deng, Guoqi Li, Jun Zhu, and Luping Shi. "Spatio-temporal backpropagation for training high-performance spiking neural networks." Frontiers in neuroscience 12 (2018).
- He W, Wu Y J, Deng L, et al. Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences[J]. Neural Networks, 2020, 132: 108-120.