Review for NeurIPS paper: Temporal Spike Sequence Learning via Backpropagation for Deep Spiking Neural Networks

Weaknesses: Some points that need clarification: 1)The authors argue that their approach is better because it allows neural networks to respond within very few timesteps. The results are reported after 5 timesteps. I am not sure if for such very fast respons, the dynamics of the network are playing any role in this case. For example, training in MNIST requires the correct output neuron to emit a spike in the second time step. It seems there is just one volley of activity passing instantaneously throughout the network.