Dynamical Graph Theory Networks Methods for the Analysis of Sparse Functional Connectivity Networks and for Determining Pinning Observability in Brain Networks.
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%0 Journal Article
%1 journals/ficn/Meyer-BaseRIMLS17
%A Meyer-Bäse, Anke
%A Roberts, Rodney G.
%A Illán, Ignacio A.
%A Meyer-Bäse, Uwe
%A Lobbes, Marc
%A Stadlbauer, Andreas
%A Pinker-Domenig, Katja
%D 2017
%J Frontiers Comput. Neurosci.
%K
%P 87
%T Dynamical Graph Theory Networks Methods for the Analysis of Sparse Functional Connectivity Networks and for Determining Pinning Observability in Brain Networks.
%U http://dblp.uni-trier.de/db/journals/ficn/ficn11.html#Meyer-BaseRIMLS17
%V 11
@article{journals/ficn/Meyer-BaseRIMLS17,
added-at = {2023-12-12T18:18:53.000+0100},
author = {Meyer-Bäse, Anke and Roberts, Rodney G. and Illán, Ignacio A. and Meyer-Bäse, Uwe and Lobbes, Marc and Stadlbauer, Andreas and Pinker-Domenig, Katja},
biburl = {https://www.bibsonomy.org/bibtex/2d71f7b275c9eb5d5fd881f7b6ed72be9/admin},
ee = {https://www.wikidata.org/entity/Q42373374},
interhash = {108060edcb5431f3ffd5f995a1061134},
intrahash = {d71f7b275c9eb5d5fd881f7b6ed72be9},
journal = {Frontiers Comput. Neurosci.},
keywords = {},
pages = 87,
timestamp = {2023-12-12T18:18:53.000+0100},
title = {Dynamical Graph Theory Networks Methods for the Analysis of Sparse Functional Connectivity Networks and for Determining Pinning Observability in Brain Networks.},
url = {http://dblp.uni-trier.de/db/journals/ficn/ficn11.html#Meyer-BaseRIMLS17},
volume = 11,
year = 2017
}
