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A Unified Framework for Neuroscience Morphological Data Visualization

dc.contributor.authorPastor, Luis
dc.contributor.authorBayona, Sofia
dc.contributor.authorBrito, Juan P.
dc.contributor.authorCuevas, María
dc.contributor.authorFernaud, Isabel
dc.contributor.authorGalindo, Sergio Emilio
dc.contributor.authorGarcía-Cantero, Juan José
dc.contributor.authorGonzález de Quevedo, Francisco
dc.contributor.authorMata, Susana
dc.contributor.authorRobles, Oscar David
dc.contributor.authorRodríguez, Angel
dc.contributor.authorToharia, Pablo
dc.contributor.authorZdravkovic, Ana
dc.date.accessioned2021-05-26T10:36:04Z
dc.date.available2021-05-26T10:36:04Z
dc.date.issued2021
dc.identifier.citationPastor, L.; Bayona, S.; Brito, J.P.; Cuevas, M.; Fernaud, I.; Galindo, S.E.; García-Cantero, J.J.; González de Quevedo, F.; Mata, S.; Robles, O.D.; et al. A Unified Framework for Neuroscience Morphological Data Visualization. Appl. Sci. 2021, 11, 4652. https:// doi.org/10.3390/app11104652es
dc.identifier.issn2076-3417
dc.identifier.urihttp://hdl.handle.net/10115/17789
dc.description.abstractThe complexity of the human brain makes its understanding one of the biggest challenges that science is currently confronting. Due to its complexity, the brain has been studied at many different levels and from many disciplines and points of view, using a diversity of techniques for getting meaningful data at each specific level and perspective, producing sometimes data that are difficult to integrate. In order to advance understanding of the brain, scientists need new tools that can speed up this analysis process and that can facilitate integrating research results from different disciplines and techniques. Visualization has proved to be useful in the analysis of complex data, and this paper focuses on the design of visualization solutions adapted to the specific problems posed by brain research. In this paper, we propose a unified framework that allows the integration of specific tools to work together in a coordinated manner in a multiview environment, displaying information at different levels of abstraction and combining schematic and realistic representations. The two use cases presented here illustrate the capability of this approach for providing a visual environment that supports the exploration of the brain at all its organizational levels.es
dc.description.sponsorshipFunding: The research leading to these results received funding from the Spanish Ministry of Economy and Competitiveness under grants C080020-09 (Cajal Blue Brain Project, Spanish partner of the Blue Brain Project initiative from EPFL) and TIN2017-83132, as well as from the European Union’s Horizon 2020 Framework Programme for Research and Innovation under the Specific Grant Agreements No. 785907 (Human Brain Project SGA2) and 945539 (Human Brain Project SGA3)es
dc.language.isoenges
dc.publisherMDPIes
dc.rightsAtribución 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.subjectneuroscience information visualizationes
dc.subjectmultilevel navigationes
dc.subjectnonphotorealistic renderinges
dc.subjectInformáticaes
dc.titleA Unified Framework for Neuroscience Morphological Data Visualizationes
dc.typeinfo:eu-repo/semantics/articlees
dc.identifier.doi10.3390/app11104652es
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses
dc.relation.projectIDTIN2017-83132es
dc.subject.unesco2490 Neurocienciases


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Atribución 4.0 InternacionalExcept where otherwise noted, this item's license is described as Atribución 4.0 Internacional