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| Research article summary (published 30 Jul 2002): |
Signal detection theory, detectability and stochastic resonance effects.
Full Abstract
Stochastic resonance is a phenomenon in which the performance of certain non-linear detectors can be enhanced by the addition of appropriate levels of random noise. Signal detection theory offers a powerful tool for analysing this type of system, through an ability to separate detection processes into reception and classification, with the former generally being linear and the latter always non-linear. Through appropriate measures of signal detectability it is possible to decide whether a local improvement in detection via stochastic resonance occurs due to the non-linear effects of the classification process. In this case, improvement of detection through the addition of noise can never improve detection beyond that of a corresponding adaptive system. Signal detection and stochastic resonance is investigated in several integrate-and-fire neuron models. It is demonstrated that the stochastic resonance observed in spiking models is caused by non-linear properties of the spike-generation process itself. The true detectability of the signal, as seen by the receiver part of the spiking neuron (the integrator part), decreases monotonically with input noise level for all signal and noise intensities.
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Author information
Author/s: Tougaard, Jakob (J);
Affiliation: Centre for Sound Communication, Institute of Biology, SDU/Odense University, Campusvej 55, 5230 Odense M, Denmark. jakob.t(-atsign-)biology.sdu.dk
Journal and publication information
Publication Type: Journal Article; Research Support, Non-U.S. Gov't
Journal: Biological cybernetics (Biol Cybern), published in Germany. (Language: eng)
Reference: 2002-Aug; vol 87 (issue 2) : pp 79-90
Dates: Created 2002/08/15; Completed 2003/04/09; Revised 2006/11/15;
PMID: 12181584, status: MEDLINE (last retrieval date: 11/6/2008)
Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.
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