Spiking Neural Networks for Signal Processing

Overview

Regular neural networks compute constantly, even when nothing important is happening. Spiking neural networks behave more like real neurons: they stay quiet and activate only when meaningful events appear. For beginners, this is like motion-sensor lights compared with lights that are always on. We apply this idea to signal analysis so systems can watch streams in real time while using far less energy. That makes SNNs attractive for edge devices, smart cameras, and IoT sensors that must stay alert without draining batteries.