| Stochastic resonance of electrochemical aperiodic spike trains. | |
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MedLine Citation:
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PMID: 15903409 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Aperiodic stochastic resonance in an electrochemical system with excitable dynamics is characterized in experiments and simulations. Two different spike trains, one with stochastic and the other with chaotic interspike intervals, are imposed on the system as subthreshold aperiodic signals. Information transmission is quantified by the cross correlation between the subthreshold input signal and the noise induced system response. A maximum is exhibited in the input-output correlation as a function of the noise amplitude. Numerical simulations with an electrochemical model are in excellent agreement with the experimental observations. |
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Authors:
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P Parmananda; Gerardo J Escalera Santos; M Rivera; Kenneth Showalter |
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Publication Detail:
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Type: Comparative Study; Evaluation Studies; Journal Article; Validation Studies Date: 2005-03-23 |
Journal Detail:
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Title: Physical review. E, Statistical, nonlinear, and soft matter physics Volume: 71 ISSN: 1539-3755 ISO Abbreviation: Phys Rev E Stat Nonlin Soft Matter Phys Publication Date: 2005 Mar |
Date Detail:
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Created Date: 2005-05-20 Completed Date: 2005-08-05 Revised Date: 2006-11-15 |
Medline Journal Info:
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Nlm Unique ID: 101136452 Medline TA: Phys Rev E Stat Nonlin Soft Matter Phys Country: United States |
Other Details:
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Languages: eng Pagination: 031110 Citation Subset: IM |
Affiliation:
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Facultad de Ciencias, UAEM, Colonia Chamilpa, Cuernavaca, Morelos, Mexico. |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Copper Sulfate
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chemistry* Electrochemistry / methods* Iron / chemistry* Models, Chemical* Models, Statistical* Oscillometry / methods* Oxidation-Reduction Periodicity Stochastic Processes Sulfuric Acids / chemistry* |
| Chemical | |
Reg. No./Substance:
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0/Sulfuric Acids; 7439-89-6/Iron; 7664-93-9/sulfuric acid; 7758-98-7/Copper Sulfate |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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