Experiment-based Models to Study Local Learning Rules for Spiking Neural Networks
Giulia Amos, Maria Saramago, Alexandre Suter, Tim Schmid and 6 more
Bernstein 2024
Spiking neural networks (SNNs) are characterized by low power consumption, highly parallel computation and event-driven information processing [1]. Many of the concepts that promise to improve the efficiency of SNNs compared to conventional deep neural networks, such as spikes, sparsity, and static suppression, are…