Motivated by EEG recordings of normal brain activity, we construct arbitrarily large McCulloch-Pitts neural networks that, without any external input, make every subset of their neurons fire in some iteration (and therefore in infinitely many iterations).
Cite
@article{arxiv.1208.6451,
title = {Can brains generate random numbers?},
author = {Vašek Chvátal and Mark Goldsmith},
journal= {arXiv preprint arXiv:1208.6451},
year = {2015}
}