Bivariate and multivariate NeuroXidence: A robust and reliable method to detect modulations of spike-spike synchronization across experimental conditions

Synchronous neuronal firing has been proposed as a potential neuronal code. To determine whether synchronous firing is really involved in different forms of information processing, one needs to directly compare the amount of synchronous firing due to various factors, such as different experimental or b...

Full description

Bibliographic Details
Main Authors: Wei eWu, Diek W. Wheeler, Gordon ePipa
Format: Article
Language:English
Published: Frontiers Media S.A. 2011-08-01
Series:Frontiers in Neuroinformatics
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fninf.2011.00014/full
id doaj-b420cad7c8f54535abaaec8d98996dd4
record_format Article
spelling doaj-b420cad7c8f54535abaaec8d98996dd42020-11-24T22:57:12ZengFrontiers Media S.A.Frontiers in Neuroinformatics1662-51962011-08-01510.3389/fninf.2011.000149726Bivariate and multivariate NeuroXidence: A robust and reliable method to detect modulations of spike-spike synchronization across experimental conditionsWei eWu0Wei eWu1Diek W. Wheeler2Diek W. Wheeler3Gordon ePipa4Gordon ePipa5Johann Wolfgang Goethe UniversityMax Planck Institute for Brain ResearchJohann Wolfgang Goethe UniversityMax Planck Institute for Brain ResearchJohann Wolfgang Goethe UniversityMax Planck Institute for Brain ResearchSynchronous neuronal firing has been proposed as a potential neuronal code. To determine whether synchronous firing is really involved in different forms of information processing, one needs to directly compare the amount of synchronous firing due to various factors, such as different experimental or behavioral conditions. In order to address this issue, we present an extended version of the previously published method, NeuroXidence. The improved method incorporates bi- and multivariate testing to determine whether different factors result in synchronous firing occurring above the chance level. We demonstrate through the use of simulated data sets that bi- and multivariate NeuroXidence reliably and robustly detects joint-spike-events across different factors.http://journal.frontiersin.org/Journal/10.3389/fninf.2011.00014/fullfactorbivariatejoint-spike eventmodulation of synchronymultivariatesynchronous firing
collection DOAJ
language English
format Article
sources DOAJ
author Wei eWu
Wei eWu
Diek W. Wheeler
Diek W. Wheeler
Gordon ePipa
Gordon ePipa
spellingShingle Wei eWu
Wei eWu
Diek W. Wheeler
Diek W. Wheeler
Gordon ePipa
Gordon ePipa
Bivariate and multivariate NeuroXidence: A robust and reliable method to detect modulations of spike-spike synchronization across experimental conditions
Frontiers in Neuroinformatics
factor
bivariate
joint-spike event
modulation of synchrony
multivariate
synchronous firing
author_facet Wei eWu
Wei eWu
Diek W. Wheeler
Diek W. Wheeler
Gordon ePipa
Gordon ePipa
author_sort Wei eWu
title Bivariate and multivariate NeuroXidence: A robust and reliable method to detect modulations of spike-spike synchronization across experimental conditions
title_short Bivariate and multivariate NeuroXidence: A robust and reliable method to detect modulations of spike-spike synchronization across experimental conditions
title_full Bivariate and multivariate NeuroXidence: A robust and reliable method to detect modulations of spike-spike synchronization across experimental conditions
title_fullStr Bivariate and multivariate NeuroXidence: A robust and reliable method to detect modulations of spike-spike synchronization across experimental conditions
title_full_unstemmed Bivariate and multivariate NeuroXidence: A robust and reliable method to detect modulations of spike-spike synchronization across experimental conditions
title_sort bivariate and multivariate neuroxidence: a robust and reliable method to detect modulations of spike-spike synchronization across experimental conditions
publisher Frontiers Media S.A.
series Frontiers in Neuroinformatics
issn 1662-5196
publishDate 2011-08-01
description Synchronous neuronal firing has been proposed as a potential neuronal code. To determine whether synchronous firing is really involved in different forms of information processing, one needs to directly compare the amount of synchronous firing due to various factors, such as different experimental or behavioral conditions. In order to address this issue, we present an extended version of the previously published method, NeuroXidence. The improved method incorporates bi- and multivariate testing to determine whether different factors result in synchronous firing occurring above the chance level. We demonstrate through the use of simulated data sets that bi- and multivariate NeuroXidence reliably and robustly detects joint-spike-events across different factors.
topic factor
bivariate
joint-spike event
modulation of synchrony
multivariate
synchronous firing
url http://journal.frontiersin.org/Journal/10.3389/fninf.2011.00014/full
work_keys_str_mv AT weiewu bivariateandmultivariateneuroxidencearobustandreliablemethodtodetectmodulationsofspikespikesynchronizationacrossexperimentalconditions
AT weiewu bivariateandmultivariateneuroxidencearobustandreliablemethodtodetectmodulationsofspikespikesynchronizationacrossexperimentalconditions
AT diekwwheeler bivariateandmultivariateneuroxidencearobustandreliablemethodtodetectmodulationsofspikespikesynchronizationacrossexperimentalconditions
AT diekwwheeler bivariateandmultivariateneuroxidencearobustandreliablemethodtodetectmodulationsofspikespikesynchronizationacrossexperimentalconditions
AT gordonepipa bivariateandmultivariateneuroxidencearobustandreliablemethodtodetectmodulationsofspikespikesynchronizationacrossexperimentalconditions
AT gordonepipa bivariateandmultivariateneuroxidencearobustandreliablemethodtodetectmodulationsofspikespikesynchronizationacrossexperimentalconditions
_version_ 1725651301345263616