NeuroScheme: Efficient Multiscale Representations for the Visual Exploration of Morphological Data in the Human Brain Neocortex
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2015Pay-Per-View via TIB Hannover:
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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
BibTeX
@inproceedings {10.2312:ceig.20151208,
booktitle = {Spanish Computer Graphics Conference (CEIG)},
editor = {Mateu Sbert and Jorge Lopez-Moreno},
title = {{NeuroScheme: Efficient Multiscale Representations for the Visual Exploration of Morphological Data in the Human Brain Neocortex}},
author = {Pastor, Luis and Mata, Susana and Toharia, Pablo and Bayona, Sofia and Brito, Juan Pedro and Garcia-Cantero, Juan Jose},
year = {2015},
publisher = {The Eurographics Association},
DOI = {10.2312/ceig.20151208}
}
booktitle = {Spanish Computer Graphics Conference (CEIG)},
editor = {Mateu Sbert and Jorge Lopez-Moreno},
title = {{NeuroScheme: Efficient Multiscale Representations for the Visual Exploration of Morphological Data in the Human Brain Neocortex}},
author = {Pastor, Luis and Mata, Susana and Toharia, Pablo and Bayona, Sofia and Brito, Juan Pedro and Garcia-Cantero, Juan Jose},
year = {2015},
publisher = {The Eurographics Association},
DOI = {10.2312/ceig.20151208}
}