SNNs (Spiking Neural Networks)

Spiking Neural Networks (SNNs) are a type of artificial neural network that mimic the way biological brains communicate. Unlike traditional neural networks that use smooth signals, SNNs operate using discrete "spikes" or pulses, similar to how neurons in our brain send information. This allows SNNs to process information in a time-dependent manner, which can enhance efficiency and performance in tasks like pattern recognition and decision-making. SNNs are particularly promising for applications in robotics and neuromorphic computing, where they can more closely replicate human-like learning and reasoning abilities.