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Comparing Open-Source Toolboxes for Processing and Analysis of Spike and Local Field Potentials Data

dc.contributor.authorUnakafova, Valentina A.
dc.contributor.authorGail, Alexander
dc.date.accessioned2019-11-27T10:48:32Z
dc.date.available2019-11-27T10:48:32Z
dc.date.issued2019de
dc.relation.ISSN1662-5196de
dc.identifier.urihttp://resolver.sub.uni-goettingen.de/purl?gs-1/16750
dc.description.abstractAnalysis of spike and local field potential (LFP) data is an essential part of neuroscientific research. Today there exist many open-source toolboxes for spike and LFP data analysis implementing various functionality. Here we aim to provide a practical guidance for neuroscientists in the choice of an open-source toolbox best satisfying their needs. We overview major open-source toolboxes for spike and LFP data analysis as well as toolboxes with tools for connectivity analysis, dimensionality reduction and generalized linear modeling. We focus on comparing toolboxes functionality, statistical and visualization tools, documentation and support quality. To give a better insight, we compare and illustrate functionality of the toolboxes on open-access dataset or simulated data and make corresponding MATLAB scripts publicly available.de
dc.language.isoengde
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/732266/EU//Plan4Actde
dc.rightsopenAccess
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subjectGLM; LFP; MATLAB; Python; dimensionality reduction; open-source; spike data; toolboxde
dc.subject.ddc599
dc.titleComparing Open-Source Toolboxes for Processing and Analysis of Spike and Local Field Potentials Datade
dc.typejournalArticlede
dc.identifier.doi10.3389/fninf.2019.00057
dc.type.versionpublishedVersionde
dc.relation.eISSN1662-5196
dc.bibliographicCitation.volume13de
dc.type.subtypejournalArticle
dc.identifier.pmid31417389
dc.bibliographicCitation.articlenumber57de
dc.description.statuspeerReviewedde
dc.bibliographicCitation.journalFrontiers in Neuroinformaticsde


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