Before revision:  Our experimental results show that our architecture exhibits superior performance than widely used Fully-Connected (FC ) and Locally-Connected (LC) architectures. Our SNN not only achieves comparable results with the state-of-the-art unsupervised SNNs (95.64\%/80.11\% accuracy on the MNIST/EMNISE dataset) , but also shows superior learning efficiency and robustness against hardware damage.
After revision:  Our experimental results show that our architecture exhibits superior performance than widely used Fully-Connected (FC ) and Locally-Connected (LC) architecture, and that our SNN achieved competitive results with state-of-the-art unsupervised SNNs (95.64\%/80.11\% accuracy on the MNIST/EMNISE dataset) , but also shows superior learning efficiency and robustness against hardware damage.