Review for NeurIPS paper: Unifying Activation- and Timing-based Learning Rules for Spiking Neural Networks

Weaknesses: More detailed discussions about the main weaknesses of this work: (P1 lack of novelty): The authors' main argument is that the activation and timing-based methods have their respective pros and cons, so combining them using a weighted sum of the two (in terms of the intermediate derivative partial_L/partial_V both methods compute) will retain the best of the two worlds. While this is a reasonable assumption, but the idea lacks fundamental new contribution. Timing or spiking activation are just two facets of the same spiking phenomena. On what basis can the derivatives with respect to timing and activation be added together? I don't see an appropriate unifying mathematical handling here.