Spiking Neural Networks (SNN)

Spiking Neural Networks (SNNs) are a type of artificial neural network that mimic the way biological brains process information. Instead of continuously firing signals, neurons in SNNs communicate through brief, electrical pulses called "spikes." These spikes occur only when a neuron reaches a certain level of activation, making SNNs more energy-efficient and better at processing time-based data. They enable more natural and dynamic computation, which can be useful for tasks like sensory processing and pattern recognition. Overall, SNNs aim to emulate brain-like efficiency and timing in artificial systems.