 Spiking neural networks, SNN, have been shown to be highly effective in mimicking the behavior of biological neurons. They can process information faster than traditional neural networks, making them ideal for real-time applications. Additionally, they require less memory and power consumption, making them suitable for embedded systems. Furthermore, SNNs are able to learn from past experiences, allowing them to adapt quickly to changing environments. This article was authored by George Julian Uluru, Mircea Hulia, and Alexandru Barlino.