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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...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
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Frontiers Research Foundation
2010
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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. |
format | Text |
id | pubmed-2972681 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | Frontiers Research Foundation |
record_format | MEDLINE/PubMed |
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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