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Brain: Biological Noise-Based Logic
Dept of Electrical Engineering, Texas A&M University, College Station, USA.
Uppsala University, Disciplinary Domain of Science and Technology, Technology, Department of Engineering Sciences, Solid State Physics.
NIH Eunice Kennedy Shriver National Institute of Child Health & Human Development (NICHD) National Institutes of Health (NIH) - USA.
Schloss Birlinghoven, Fraunhofer IAIS, Div Knowledge Discovery, D-53754 St Augustin, Germany, University of Bonn.
2015 (English)In: Advances in Cognitive Neurodynamics (IV): Proceedings of the Fourth International Conference on Cognitive Neurodynamics 2013 / [ed] Hans Liljenström, Dordrecht, Tyskland: Springer Science+Business Media B.V., 2015, 319-322 p.Chapter in book (Refereed)
Abstract [en]

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.

Place, publisher, year, edition, pages
Dordrecht, Tyskland: Springer Science+Business Media B.V., 2015. 319-322 p.
Series
Advances in Cognitive Neurodynamica, ISSN 2213-3577
Keyword [en]
Neural logi, Deterministic logic, Logic variable, Neural spikes, Stochastic signal
National Category
Engineering and Technology Neurosciences Neurology
Identifiers
URN: urn:nbn:se:uu:diva-268286DOI: 10.1007/978-94-017-9548-7_45ISI: 000380362800045ISBN: 978-94-017-9548-7 (print)OAI: oai:DiVA.org:uu-268286DiVA: diva2:876337
Available from: 2015-12-03 Created: 2015-12-03 Last updated: 2016-08-29Bibliographically approved

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