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 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.

Download full text files

Export metadata

Metadaten
Author:Wu Wei, Diek W. Wheeler, Gordon PipaORCiDGND
URN:urn:nbn:de:hebis:30:3-293080
DOI:https://doi.org/10.3389/fninf.2011.00014
ISSN:1662-5196
Pubmed Id:https://pubmed.ncbi.nlm.nih.gov/21897816
Parent Title (English):Frontiers in neuroinformatics
Publisher:Frontiers Research Foundation
Place of publication:Lausanne
Contributor(s):Daniel Gardner
Document Type:Article
Language:English
Date of Publication (online):2013/09/19
Date of first Publication:2011/08/19
Publishing Institution:Universitätsbibliothek Johann Christian Senckenberg
Release Date:2013/09/19
Tag:NeuroXidence; bivariate; factor; joint-spike-event; modulation of synchrony; multivariate; synchronous firing
Volume:5
Issue:Art. 14
Page Number:11
First Page:1
Last Page:11
Note:
Copyright: © 2011 Wu, Wheeler and Pipa. This is an open-access article subject to a non-exclusive license between the authors and Frontiers Media SA, which permits use, distribution and reproduction in other forums, provided the original authors and source are credited and other Frontiers conditions are complied with.
HeBIS-PPN:353113832
Institutes:Wissenschaftliche Zentren und koordinierte Programme / Frankfurt Institute for Advanced Studies (FIAS)
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Sammlungen:Universitätspublikationen
Licence (German):License LogoDeutsches Urheberrecht

OPUS4 Logo