Deriving pairwise transfer entropy from network structure and motifs

7 Nov 2019Leonardo NovelliFatihcan M. AtayJürgen JostJoseph T. Lizier

Transfer entropy is an established method for quantifying directed statistical dependencies in neuroimaging and complex systems datasets. The pairwise (or bivariate) transfer entropy 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 network structure that the link is embedded in... (read more)

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