NeuroScheme: Efficient Multiscale Representations for the Visual Exploration of Morphological Data in the Human Brain Neocortex

dc.contributor.author	Pastor, Luis	en_US
dc.contributor.author	Mata, Susana	en_US
dc.contributor.author	Toharia, Pablo	en_US
dc.contributor.author	Bayona, Sofia	en_US
dc.contributor.author	Brito, Juan Pedro	en_US
dc.contributor.author	Garcia-Cantero, Juan Jose	en_US
dc.contributor.editor	Mateu Sbert and Jorge Lopez-Moreno	en_US
dc.date.accessioned	2015-07-01T06:29:05Z
dc.date.available	2015-07-01T06:29:05Z
dc.date.issued	2015	en_US
dc.identifier.uri	http://dx.doi.org/10.2312/ceig.20151208	en_US
dc.description.abstract	The analysis of data sets from such a complex domain as neuroscience is severely hampered by the brain complexity and by the huge amount of data originated in current experiments and simulations. The complexity of the brain stems not only from the enormous number of relevant entities that integrate it (for example, around 10	en_US
dc.publisher	The Eurographics Association	en_US
dc.subject	I.3.3 [Computer Graphics]	en_US
dc.subject	una categoria	en_US
dc.subject	otra categoria	en_US
dc.title	NeuroScheme: Efficient Multiscale Representations for the Visual Exploration of Morphological Data in the Human Brain Neocortex	en_US
dc.description.seriesinformation	Spanish Computer Graphics Conference (CEIG)	en_US
dc.description.sectionheaders	Modelling & Visualizing the World	en_US
dc.identifier.doi	10.2312/ceig.20151208	en_US
dc.identifier.pages	117-125	en_US