Spiking neural networks (SNNs) represent a novel and compelling paradigm within the field of deep learning. Unlike traditional artificial neural networks that process information continuously, SNNs mimic the spiking behavior of real neurons. This inherent characteristic allows them snns to possess unique properties such as event-driven computation.