The author introduces Spyx, a new SNN simulation and optimization library designed in JAX, aiming to optimize SNNs efficiently through JIT compilation on GPUs or TPUs.
The author proposes optimizing spiking neural networks by introducing a cutoff mechanism and regularization techniques to enhance efficiency in training and inference.