Artificial Intelligence

   

Brain: Biological Noise-Based Logic

Authors: Laszlo B. Kish, Claes-Goran Granqvist, Sergey M. Bezrukov, Tamas Horvath

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.

Comments: 4 Pages. In press at: Advances in Cognitive Neurodynamics Vol. 4 - Proc. 4th International Conference on Cognitive Neurodynamics (Springer, 2014)

Download: PDF

Submission history

[v1] 2014-08-18 13:12:46

Unique-IP document downloads: 42 times

Vixra.org is a pre-print repository rather than a journal. Articles hosted may not yet have been verified by peer-review and should be treated as preliminary. In particular, anything that appears to include financial or legal advice or proposed medical treatments should be treated with due caution. Vixra.org will not be responsible for any consequences of actions that result from any form of use of any documents on this website.

Add your own feedback and questions here:
You are equally welcome to be positive or negative about any paper but please be polite. If you are being critical you must mention at least one specific error, otherwise your comment will be deleted as unhelpful.

comments powered by Disqus