An introduction to transfer entropy: information flow in complex systems

Terry Bossomaier, Lionel Barnett, Michael Harré, Joseph T. Lizier

Research output: Book/ReportTextbook/Reference book

78 Citations (Scopus)

Abstract

This book considers a relatively new metric in complex systems, transfer entropy, derived from a series of measurements, usually a time series. After a qualitative introduction and a chapter that explains the key ideas from statistics required to understand the text, the authors then present information theory and transfer entropy in depth. A key feature of the approach is the authors’ work to show the relationship between information flow and complexity. The later chapters demonstrate information transfer in canonical systems, and applications, for example in neuroscience and in finance. The book will be of value to advanced undergraduate and graduate students and researchers in the areas of computer science, neuroscience, physics, and engineering.

Original languageEnglish
Place of PublicationCham, Switzerland
PublisherSpringer International Publishing
Number of pages190
ISBN (Electronic)9783319432229
ISBN (Print)9783319432212
DOIs
Publication statusPublished - 01 Jan 2016

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    Bossomaier, T., Barnett, L., Harré, M., & Lizier, J. T. (2016). An introduction to transfer entropy: information flow in complex systems. Springer International Publishing. https://doi.org/10.1007/978-3-319-43222-9