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dc.contributor.authorTveito, Aslak
dc.contributor.authorJæger, Karoline Horgmo
dc.contributor.authorLines, Glenn Terje
dc.contributor.authorPaszkowski, Lukasz
dc.contributor.authorSundnes, Joakim
dc.contributor.authorEdwards, Andrew
dc.contributor.authorMäki-Marttunen, Tuomo
dc.contributor.authorHalnes, Geir
dc.contributor.authorEinevoll, Gaute
dc.date.accessioned2018-02-12T10:09:34Z
dc.date.available2018-02-12T10:09:34Z
dc.date.created2017-09-27T15:17:05Z
dc.date.issued2017
dc.identifier.citationFrontiers in Computational Neuroscience. 2017, 11 .nb_NO
dc.identifier.issn1662-5188
dc.identifier.urihttp://hdl.handle.net/11250/2483999
dc.language.isoengnb_NO
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internasjonal*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/deed.no*
dc.titleAn evaluation of the accuracy of classical models for computing the membrane potential and extracellular potential for neuronsnb_NO
dc.typeJournal articlenb_NO
dc.typePeer reviewednb_NO
dc.description.versionpublishedVersion
dc.source.pagenumber18nb_NO
dc.source.volume11nb_NO
dc.source.journalFrontiers in Computational Neurosciencenb_NO
dc.identifier.doi10.3389/fncom.2017.00027
dc.identifier.cristin1499040
cristin.unitcode192,15,0,0
cristin.unitnameRealfag og teknologi
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1


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Attribution-NonCommercial-NoDerivatives 4.0 Internasjonal
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