Dr. Alexander Henkes
Dr. Alexander Henkes
Thank you for the information!
One way could be to add a linear output layer, which converts a (sufficiently large) number of spikes to numeric values. This wouldn't be "pure", but it should work with...
Thank you very much for the quick response, @Jegp !
I would second this question, as it is not obvious for me how to decode spikes to the real line. If you decode rate based, then the prediction for large...
Thank you very much for the extensive answer! To begin with, a simple affine transformation of a temporal (linear) sequence would be helpful. That is, x = [0, 1, 2,...
Thank you for the feedback! I just used the normal MSE in the optimizer when I had a standard 'Linear' layer as output. I'll check your file and report back!
It seems to work in principal (your approach 1 using membrane potentials), but I have some (explainable) artifact in my results. I try to overfit on a single vector [TIME=10,...
I used a different lib for the experiment, I will make a small script in snntorch for the whole code for everyone to check out and post it here. And...
Thanks for pointing out the paper! I already used 1024 as width, which seems to be quite an overkill for such a simple task, so I thought there would be...
Well, I implemented my architecture from the other lib into snntorch and .... it worked?!? Here is my code: ``` """A simple regression task using snntorch.""" import snntorch import torch...