dc.contributor.author | Pastor, Luis | |
dc.contributor.author | Bayona, Sofia | |
dc.contributor.author | Brito, Juan P. | |
dc.contributor.author | Cuevas, María | |
dc.contributor.author | Fernaud, Isabel | |
dc.contributor.author | Galindo, Sergio Emilio | |
dc.contributor.author | García-Cantero, Juan José | |
dc.contributor.author | González de Quevedo, Francisco | |
dc.contributor.author | Mata, Susana | |
dc.contributor.author | Robles, Oscar David | |
dc.contributor.author | Rodríguez, Angel | |
dc.contributor.author | Toharia, Pablo | |
dc.contributor.author | Zdravkovic, Ana | |
dc.date.accessioned | 2021-05-26T10:36:04Z | |
dc.date.available | 2021-05-26T10:36:04Z | |
dc.date.issued | 2021 | |
dc.identifier.citation | Pastor, 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/app11104652 | es |
dc.identifier.issn | 2076-3417 | |
dc.identifier.uri | http://hdl.handle.net/10115/17789 | |
dc.description.abstract | The 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.sponsorship | Funding: 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.iso | eng | es |
dc.publisher | MDPI | es |
dc.rights | Atribución 4.0 Internacional | * |
dc.rights.uri | http://creativecommons.org/licenses/by/4.0/ | * |
dc.subject | neuroscience information visualization | es |
dc.subject | multilevel navigation | es |
dc.subject | nonphotorealistic rendering | es |
dc.subject | Informática | es |
dc.title | A Unified Framework for Neuroscience Morphological Data Visualization | es |
dc.type | info:eu-repo/semantics/article | es |
dc.identifier.doi | 10.3390/app11104652 | es |
dc.rights.accessRights | info:eu-repo/semantics/openAccess | es |
dc.relation.projectID | TIN2017-83132 | es |
dc.subject.unesco | 2490 Neurociencias | es |