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