Neural spikes in the brain form stochastic sequences, i.e., belong to the class of pulse noises. This stochasticity is a counterintuitive feature because extracting information - such as the commonly supposed neural information of mean spike frequency - requires long times for reasonably low error probability. The mystery could be solved by noise-based logic, wherein randomness has an important function and allows large speed enhancements for special-purpose tasks, and the same mechanism is at work for the brain logic version of this concept.
@article{arxiv.1408.4077,
title = {Brain: Biological noise-based logic},
author = {Laszlo B. Kish and Claes-Goran Granqvist and Sergey M. Bezrukov and Tamas Horvath},
journal= {arXiv preprint arXiv:1408.4077},
year = {2015}
}