PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Noise-based Information Processing
Laszlo B. Kish, Sunil P. Khatri, Sergey M. Bezrukov, Ferdinand Peper, Zoltan Gingl and Tamas Horvath
In: 21st International Conference on Noise and Fluctuations (ICNF 2011), 12-16 June, 2011, Toronto, Canada.

Abstract

We briefly introduce noise-based logic. After describing the main motivations we outline classical, instantaneous (squeezed and non-squeezed), continuum, spike and random-telegraph-signal based schemes with applications such as circuits that emulate the brain functioning and string verification via a slow communication channel.

EPrint Type:Conference or Workshop Item (Talk)
Project Keyword:Project Keyword UNSPECIFIED
Subjects:Brain Computer Interfaces
ID Code:9391
Deposited By:Tamas Horvath
Deposited On:16 March 2012