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.
CITATION STYLE
Kish, L. B., Granqvist, C. G., Bezrukov, S. M., & Horvath, T. (2015). Brain: Biological Noise-Based Logic (pp. 319–322). https://doi.org/10.1007/978-94-017-9548-7_45
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