  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.
