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Can Transfer Entropy Infer Information Flow in Neuronal Circuits for Cognitive Processing?
[article]
2019
arXiv
pre-print
To infer information flow in any network of agents, it is important first and foremost to establish causal temporal relations between the nodes. Practical and automated methods that can infer causality are difficult to find, and the subject of ongoing research. While Shannon information only detects correlation, there are several information-theoretic notions of "directed information" that have successfully detected causality in some systems, in particular in the neuroscience community.
arXiv:1901.07589v2
fatcat:wp7voc6zirdupfjlng5cntpmfm