SQL

Spiking Neural Networks (SNNs) are advanced neural models inspired by biological brains, utilizing discrete electrical impulses called spikes to transmit information. Unlike traditional neural networks that rely on continuous activation values, SNNs process data through timing and frequency of spikes, enabling more efficient and realistic simulation of neural activity, potentially leading to improved performance in tasks like temporal pattern recognition and energy-efficient computing.