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Statistical evaluation of synchronous spike patterns extracted by frequent item set mining

We recently proposed frequent itemset mining (FIM) as a method to perform an optimized search for patterns of synchronous spikes (item sets) in massively parallel spike trains. This search outputs the occurrence count (support) of individual patterns that are not trivially explained by the counts of...

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Detalles Bibliográficos
Autores principales:	Torre, Emiliano, Picado-Muiño, David, Denker, Michael, Borgelt, Christian, Grün, Sonja
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Frontiers Media S.A. 2013
Materias:	Neuroscience
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3805944/ https://www.ncbi.nlm.nih.gov/pubmed/24167487 http://dx.doi.org/10.3389/fncom.2013.00132

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