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Deriving pairwise transfer entropy from network structure and motifs
Transfer entropy (TE) is an established method for quantifying directed statistical dependencies in neuroimaging and complex systems datasets. The pairwise (or bivariate) TE from a source to a target node in a network does not depend solely on the local source-target link weight, but on the wider ne...
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| Publicado no: | Proc Math Phys Eng Sci |
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| Main Authors: | , , , |
| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
The Royal Society Publishing
2020
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| Assuntos: | |
| Acesso em linha: | https://ncbi.nlm.nih.gov/pmc/articles/PMC7209155/ https://ncbi.nlm.nih.gov/pubmed/32398937 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1098/rspa.2019.0779 |
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