Korneel Van den Berghe

Adaptive Surrogate Gradients for Sequential Reinforcement Learning in Spiking Neural Networks

Neuromorphic computing systems are set to revolutionize energy-constrained robotics by achieving orders-of-magnitude efficiency gains, while enabling native temporal processing. Spiking Neural Networks (SNNs) represent a promising algorithmic approach for these systems, yet their application to comp…