Equivalence of approximation by networks of single- and multi-spike neurons
It is shown that for every approximation bound that is valid for a set of multi-spike neural networks, there is an equivalent set of single-spike neural networks with only linearly more (or less) neurons, in the maximum number of spikes, for which the bound holds.
Dominik Dold, Philipp C. Petersen
· arXiv.org · 2 citations