Before revision:  3)We stack multiple Sp-Inception modules to construct multi-layer SNNs. Our method greatly exceeds baseline methods on image classification tasks and reaches state-of-the-art results on  MNIST dataset among  existing unsupervised SNNs.
After revision:  3)We stack multiple Sp-Inception modules to construct multi-layer SNNs. Our algorithm outperforms the baseline algorithms on the hand-written digit classification task, and reaches state-of-the-art results on MNIST dataset among existing unsupervised SNNs.