2 papers
cs.NE2024
Slax: A Composable JAX Library for Rapid and Flexible Prototyping of Spiking Neural Networks
Thomas M. Summe, Siddharth Joshi
Recent advances to algorithms for training spiking neural networks (SNNs) often leverage their unique dynamics. While backpropagation through time (BPTT) with surrogate gradients d…
cs.NE2023
Estimating Post-Synaptic Effects for Online Training of Feed-Forward SNNs
Thomas Summe, Clemens JS Schaefer, Siddharth Joshi
Facilitating online learning in spiking neural networks (SNNs) is a key step in developing event-based models that can adapt to changing environments and learn from continuous data…