Before revision:  This approach reaches state-of-the-art performance with  SNNs: test accuracy of 97.4\% for the MNIST dataset, and of 99.2\% for the Caltech Face/Motorbike dataset.
After revision:  This approach reaches state-of-the-art performance with SNNs: test accuracy of 97.4\% for the MNIST dataset, and 99.2\% for the Caltech Face/Motorbike dataset.