Unraveling Spurious Properties of Interaction Networks with Tailored Random Networks

We investigate interaction networks that we derive from multivariate time series with methods frequently employed in diverse scientific fields such as biology, quantitative finance, physics, earth and climate sciences, and the neurosciences. Mimicking experimental situations, we generate time series...

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Detalles Bibliográficos
Autores principales: Bialonski, Stephan, Wendler, Martin, Lehnertz, Klaus
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3151270/
https://www.ncbi.nlm.nih.gov/pubmed/21850239
http://dx.doi.org/10.1371/journal.pone.0022826

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3151270/
https://www.ncbi.nlm.nih.gov/pubmed/21850239
http://dx.doi.org/10.1371/journal.pone.0022826

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