Basic Guide to Spiking Neural Networks for Deep Learning | cnvrg.io

Unfortunately, as of today, there is no effective supervised interpretable learning method that can be used to train an SNN. The key concept of SNN operations does not allow the use of classical learning methods that are appropriate for the rest of NNs. Still, scientists are searching for an optimal method.This is the reason why training an SNN might be a tough task.

Nevertheless, you can apply the following methods to SNNs training:

As you might have noticed, the majority of learning methods mentioned above are rather related to biology than machine learning. Unfortunately, if you want to work with SNNs you must be ready to study the biological aspects of the topic because they are the key ones in SNNs. Anyway, if you were able to train an SNN the next logical step is to share your experience with the community to help develop the sphere. SNNs are actively developing, so any experience will be relevant.