Document Detail


Stochastic resonance of electrochemical aperiodic spike trains.
MedLine Citation:
PMID:  15903409     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
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.
Authors:
P Parmananda; Gerardo J Escalera Santos; M Rivera; Kenneth Showalter
Related Documents :
23999129 - A theoretical and experimental study of neuromorphic atomic switch networks for reservo...
15787159 - Refractory pulse counting processes in stochastic neural computers.
15447519 - Augmented moment method for stochastic ensembles with delayed couplings. i. langevin mo...
11720979 - Stochasticity in transcriptional regulation: origins, consequences, and mathematical re...
20170209 - The diffusive finite state projection algorithm for efficient simulation of the stochas...
12636559 - Computing a non-maxwellian velocity distribution from first principles.
24050359 - Ordered structures of diblock nanorods induced by diblock copolymers.
19411739 - Anomalous scaling in nanopore translocation of structured heteropolymers.
22975309 - Break force and tensile strength relationships for curved faced tablets subject to diam...
Publication Detail:
Type:  Comparative Study; Evaluation Studies; Journal Article; Validation Studies     Date:  2005-03-23
Journal Detail:
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:
Created Date:  2005-05-20     Completed Date:  2005-08-05     Revised Date:  2006-11-15    
Medline Journal Info:
Nlm Unique ID:  101136452     Medline TA:  Phys Rev E Stat Nonlin Soft Matter Phys     Country:  United States    
Other Details:
Languages:  eng     Pagination:  031110     Citation Subset:  IM    
Affiliation:
Facultad de Ciencias, UAEM, Colonia Chamilpa, Cuernavaca, Morelos, Mexico.
Export Citation:
APA/MLA Format     Download EndNote     Download BibTex
MeSH Terms
Descriptor/Qualifier:
Copper Sulfate / chemistry*
Electrochemistry / methods*
Iron / chemistry*
Models, Chemical*
Models, Statistical*
Oscillometry / methods*
Oxidation-Reduction
Periodicity
Stochastic Processes
Sulfuric Acids / chemistry*
Chemical
Reg. No./Substance:
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


Previous Document:  Heat capacity in a model polydisperse ferrofluid with narrow particle size distribution.
Next Document:  Two-dimensional two-state lattice-gas model.