Literature DB >> 8809364

Didactic discussion of stochastic resonance effects and weak signals.

R K Adair1.   

Abstract

A simple, paradigmatic, model is used to illustrate some general properties of effects subsumed under the label "stochastic resonance." In particular, analyses of the transparent model show that 1) a small amount of noise added to a much larger signal can greatly increase the response to the signal, but 2) a weak signal added to much larger noise will not generate a substantial added response. The conclusions drawn from the model illustrate the general result that stochastic resonance effects do not provide an avenue for signals that are much smaller than noise to affect biology. A further analysis demonstrates the effects of small signals in the shifting of biologically important chemical equilibria under conditions where stochastic resonance effects are significant.

Mesh:

Year:  1996        PMID: 8809364     DOI: 10.1002/(SICI)1521-186X(1996)17:3<242::AID-BEM10>3.0.CO;2-S

Source DB:  PubMed          Journal:  Bioelectromagnetics        ISSN: 0197-8462            Impact factor:   2.010


  3 in total

1.  Noise and stochastic resonance in voltage-gated ion channels.

Authors:  Robert K Adair
Journal:  Proc Natl Acad Sci U S A       Date:  2003-09-23       Impact factor: 11.205

2.  Enhancement of positron emission tomography-computed tomography image quality using the principle of stochastic resonance.

Authors:  Anil Kumar Pandey; Sanjay Kumar Sharma; Punit Sharma; Harmandeep Singh; Chetan Patel; Kaushik Sarkar; Rakesh Kumar; Chandra Sekhar Bal
Journal:  Indian J Nucl Med       Date:  2014-10

3.  Development and Validation of the Suprathreshold Stochastic Resonance-Based Image Processing Method for the Detection of Abdomino-pelvic Tumor on PET/CT Scans.

Authors:  Kartik Saroha; Anil Kumar Pandey; Param Dev Sharma; Abhishek Behera; Chetan Patel; Chandrashekhar Bal; Rakesh Kumar
Journal:  Indian J Nucl Med       Date:  2017 Apr-Jun
  3 in total

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