arXiv cs.NE
· Papers
Globally Optimal Training of Spiking Neural Networks via Parameter Reconstruction
arXiv:2605.08022v2 Announce Type: replace Abstract: Spiking Neural Networks (SNNs) have been proposed as biologically plausible and energy-efficient alternatives to conventional Artificial Neural Networks (ANNs). However, the training of SNN usually relies on surrogate gradients due to the non-differentiability of the