Before revision:  Simulation results show that BioSNet not only achieves  state-of-the-art unsupervised classification accuracy on MNIST/EMNIST data sets , but also exhibits superior learning efficiency and high robustness.
After revision:  Simulation results show that our Inception-like architecture exhibits superior performance than widely used Fully-Connected (FC) and Locally-Connected (LC) architectures. Our SNN not only achieves state-of-the-art unsupervised classification accuracy on MNIST/EMNIST data sets , but also exhibits superior learning efficiency and high robustness.