SNN (spiking neural networks)

Spiking Neural Networks (SNNs) are a type of artificial neural network that mimic how the human brain processes information. Unlike traditional networks that use continuous signals, SNNs transmit information through discrete electrical impulses called "spikes," similar to neuron firing. These spikes occur at specific times, allowing SNNs to efficiently process temporal data and adapt based on timing, which can make them more energy-efficient and better at tasks involving real-time signals like speech or sensor data. Overall, SNNs aim to replicate brain-like communication for advanced, low-power computing.