[Question] : neural coding for static images

[Barchid]

Hello,

In the related jupyter tutorial (lif-autograd repository), DECOLLE is used with the static MNIST dataset encoded in rate coding ( snn_utils.image2spiketrain() ).. Have you tried other neural coding in addition to rate coding ? For exemple, temporal coding, phase coding, etc ? If it is the case, can we have the results ?

By the way : thank you for your work. And I specially want to thank you for your well-written tutorial in addition to your contribution. It is really rare to see it with a paper implementation.