  Spiking neural networks are powerful computational elements that pair well
with event-based cameras (EBCs). In this work, we present two spiking neural
network architectures that process events from EBCs: one that isolates and
filters out events based on their speeds, and another that clusters events
based on the DBSCAN algorithm.
