Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Patric eHagmann"'
Autor:
Artemy eKolchinsky, Martijn P. eVan Den Heuvel, Alessandra eGriffa, Patric eHagmann, Luis M. eRocha, Olaf eSporns, Joaquin eGoñi
Publikováno v:
Frontiers in Neuroinformatics, Vol 8 (2014)
The human brain displays heterogeneous organization in both structure and function. Here we develop a method to characterize brain regions and networks in terms of information-theoretic measures. We look at how these measures scale when larger spatia
Externí odkaz:
https://doaj.org/article/aedf183ce69844dcb93b6163a3e65620
Publikováno v:
Frontiers in Systems Neuroscience, Vol 6 (2012)
The combination of advanced neuroimaging techniques and major developments in complex network science, have given birth to a new framework for studying the brain: connectomics. This framework provides the ability to describe and study the brain as a
Externí odkaz:
https://doaj.org/article/4c6c40429180422987d0cc8ef2b6b311
The Connectome Viewer Toolkit: an open source framework to manage, analyze and visualize connectomes
Autor:
Stephan eGerhard, Alessandro eDaducci, Alia eLemkaddem, Reto eMeuli, Jean-Philippe eThiran, Patric eHagmann
Publikováno v:
Frontiers in Neuroinformatics, Vol 5 (2011)
Abstract Advanced neuroinformatics tools are required for methods of connectome mapping, analysis and visualization. The inherent multi-modality of connectome datasets poses new challenges for data organization, integration and sharing. We have desig
Externí odkaz:
https://doaj.org/article/ee3d9bb3c703448d9301449e96edef2f