We have a new preprint along with code that simplifies the process of training quantized spiking neural networks in snnTorch.

Quantization-Aware training of SNNs with periodic schedules

We propose several techniques to smooth the process of training QSNNs, one of which is the use of cosine annealing and periodic boosting, which provides the network additional opportunities to continue searching for more optimized solution spaces.

Github link to code here.

Preprint link here.