Spiking Neural Networks Architectures (SNN Neuromorphic)

This presentation explores Spiking Neural Networks (SNNs), inspired by the brain's natural processing. It highlights their differences from traditional artificial neural networks, focusing on temporal activity, energy efficiency, and fast processing. Key components such as spiking neurons, synapses, and membrane potentials are explained, along with encoding methods like rate, temporal, and latency coding. Ideal for understanding the innovative use of neural architectures in mimicking brain...