Upper bounds on the number of causal pieces in spiking neural networks
arXiv:2610.22484v1 Announce Type: cross Abstract: The input space of single-spike neural networks decomposes into causal pieces, and the number of causal pieces has been shown to provide a lower bound on the approximation error for some spiking neural networks. While this decomposition is applicabl…
Read the full story at arXiv stat.ML ↗
Timeline · 1 report
- 2026-10-19 04:00 · arXiv stat.ML
Upper bounds on the number of causal pieces in spiking neural networks