Investigating temporal coding in high-dimensional neuronal ensembles by unsupervised clustering of temporal spike patterns based on a novel dissimilarity measure.

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dc.contributor.advisorBattaglia, Francesco
dc.contributor.advisorVink, Martin
dc.contributor.authorGrossberger, Lukas
dc.date.issued2018-06-19
dc.description.abstract-en_US
dc.embargo.lift2041-06-19
dc.embargo.typeTijdelijk embargoen_US
dc.identifier.urihttps://theses.ubn.ru.nl/handle/123456789/9754
dc.language.isoenen_US
dc.thesis.facultyFaculteit der Sociale Wetenschappenen_US
dc.thesis.specialisationResearchmaster Cognitive Neuroscienceen_US
dc.thesis.studyprogrammeResearchmaster Cognitive Neuroscienceen_US
dc.thesis.typeResearchmasteren_US
dc.titleInvestigating temporal coding in high-dimensional neuronal ensembles by unsupervised clustering of temporal spike patterns based on a novel dissimilarity measure.en_US
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