arXiv cs.NE
· Papers
ADSEQ: A delay-aware autograd-compatible framework for spike-event delivery in SNNs
arXiv:2512.05906v2 Announce Type: replace Abstract: Spiking neural networks (SNNs), central to computational neuroscience and neuromorphic machine learning (ML), require efficient simulation and gradient-based training. While AI accelerators offer promising speedups, gradient-based SNNs typically implement sparse spike