arXiv cs.NE
· Papers
Phase State Space Models: Parallel, Surrogate-Free Training of Spiking Networks
arXiv:2608.07754v1 Announce Type: new Abstract: State-space models (SSMs) provide a powerful theoretical framework to enable parallel training of recurrent networks. We expand on previous work adapting SSMs to spiking models to provide a novel interpretation of resonate-and-fire (R&F) neural networks which is compatib