Understanding Interdependency Through Complex Information Sharing

The interactions between three or more random variables are often nontrivial, poorly understood and, yet, are paramount for future advances in fields such as network information theory, neuroscience and genetics. In this work, we analyze these interactions as different modes of information sharing....

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Bibliographic Details
Main Authors: Fernando Rosas, Vasilis Ntranos, Christopher J. Ellison, Sofie Pollin, Marian Verhelst
Format: Article
Language:English
Published: MDPI AG 2016-01-01
Series:Entropy
Subjects:
Online Access:http://www.mdpi.com/1099-4300/18/2/38