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

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dc.contributor.authorPastor, Luisen_US
dc.contributor.authorMata, Susanaen_US
dc.contributor.authorToharia, Pabloen_US
dc.contributor.authorBayona, Sofiaen_US
dc.contributor.authorBrito, Juan Pedroen_US
dc.contributor.authorGarcia-Cantero, Juan Joseen_US
dc.contributor.editorMateu Sbert and Jorge Lopez-Morenoen_US
dc.date.accessioned2015-07-01T06:29:05Z
dc.date.available2015-07-01T06:29:05Z
dc.date.issued2015en_US
dc.description.abstractThe 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 10en_US
dc.description.sectionheadersModelling & Visualizing the Worlden_US
dc.description.seriesinformationSpanish Computer Graphics Conference (CEIG)en_US
dc.identifier.doi10.2312/ceig.20151208en_US
dc.identifier.pages117-125en_US
dc.identifier.urihttps://doi.org/10.2312/ceig.20151208en_US
dc.publisherThe Eurographics Associationen_US
dc.subjectI.3.3 [Computer Graphics]en_US
dc.subjectuna categoriaen_US
dc.subjectotra categoriaen_US
dc.titleNeuroScheme: Efficient Multiscale Representations for the Visual Exploration of Morphological Data in the Human Brain Neocortexen_US
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