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Surrogate Spike Train Generation Through Dithering in Operational Time

Detecting the excess of spike synchrony and testing its significance can not be done analytically for many types of spike trains and relies on adequate surrogate methods. The main challenge for these methods is to conserve certain features of the spike trains, the two most important being the firing...

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Detalles Bibliográficos
Autores principales: Louis, Sebastien, Gerstein, George L., Grün, Sonja, Diesmann, Markus
Formato: Texto
Lenguaje:English
Publicado: Frontiers Research Foundation 2010
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2972681/
https://www.ncbi.nlm.nih.gov/pubmed/21060802
http://dx.doi.org/10.3389/fncom.2010.00127
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author Louis, Sebastien
Gerstein, George L.
Grün, Sonja
Diesmann, Markus
author_facet Louis, Sebastien
Gerstein, George L.
Grün, Sonja
Diesmann, Markus
author_sort Louis, Sebastien
collection PubMed
description Detecting the excess of spike synchrony and testing its significance can not be done analytically for many types of spike trains and relies on adequate surrogate methods. The main challenge for these methods is to conserve certain features of the spike trains, the two most important being the firing rate and the inter-spike interval statistics. In this study we make use of operational time to introduce generalizations to spike dithering and propose two novel surrogate methods which conserve both features with high accuracy. Compared to earlier approaches, the methods show an improved robustness in detecting excess synchrony between spike trains.
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spelling pubmed-29726812010-11-08 Surrogate Spike Train Generation Through Dithering in Operational Time Louis, Sebastien Gerstein, George L. Grün, Sonja Diesmann, Markus Front Comput Neurosci Neuroscience Detecting the excess of spike synchrony and testing its significance can not be done analytically for many types of spike trains and relies on adequate surrogate methods. The main challenge for these methods is to conserve certain features of the spike trains, the two most important being the firing rate and the inter-spike interval statistics. In this study we make use of operational time to introduce generalizations to spike dithering and propose two novel surrogate methods which conserve both features with high accuracy. Compared to earlier approaches, the methods show an improved robustness in detecting excess synchrony between spike trains. Frontiers Research Foundation 2010-09-22 /pmc/articles/PMC2972681/ /pubmed/21060802 http://dx.doi.org/10.3389/fncom.2010.00127 Text en Copyright © 2010 Louis, Gerstein, Grün and Diesmann. http://www.frontiersin.org/licenseagreement This is an open-access article subject to an exclusive license agreement between the authors and the Frontiers Research Foundation, which permits unrestricted use, distribution, and reproduction in any medium, provided the original authors and source are credited.
spellingShingle Neuroscience
Louis, Sebastien
Gerstein, George L.
Grün, Sonja
Diesmann, Markus
Surrogate Spike Train Generation Through Dithering in Operational Time
title Surrogate Spike Train Generation Through Dithering in Operational Time
title_full Surrogate Spike Train Generation Through Dithering in Operational Time
title_fullStr Surrogate Spike Train Generation Through Dithering in Operational Time
title_full_unstemmed Surrogate Spike Train Generation Through Dithering in Operational Time
title_short Surrogate Spike Train Generation Through Dithering in Operational Time
title_sort surrogate spike train generation through dithering in operational time
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2972681/
https://www.ncbi.nlm.nih.gov/pubmed/21060802
http://dx.doi.org/10.3389/fncom.2010.00127
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