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Inferring network properties from time series using transfer entropy and mutual information: Validation of multivariate versus bivariate approaches
Functional and effective networks inferred from time series are at the core of network neuroscience. Interpreting properties of these networks requires inferred network models to reflect key underlying structural features. However, even a few spurious links can severely distort network measures, pos...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MIT Press
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8233116/ https://www.ncbi.nlm.nih.gov/pubmed/34189370 http://dx.doi.org/10.1162/netn_a_00178 |