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Information-based methods for neuroimaging: analyzing structure, function and dynamics
The aim of this Research Topic is to discuss the state of the art on the use of Information-based methods in the analysis of neuroimaging data. Information-based methods, typically built as extensions of the Shannon Entropy, are at the basis of model-free approaches which, being based on probability distributions rather than on specific expectations, can account for all possible non-linearities pr…
Creator
- Miguel Angel Munoz
- Daniele Marinazzo
- Jesus M. Cortes
- Miguel Ángel Muñoz
Publisher
- Frontiers Media SA
Subject
- brain connectivity
- Information Theory
- transfer entropy
- Granger causality
- mutual information
- structural connectome
- functional connectome
- network theory
- computational neuroscience
- neuroinformatics
Date
- 2015
- 2015
Creator
- Miguel Angel Munoz
- Daniele Marinazzo
- Jesus M. Cortes
- Miguel Ángel Muñoz
Publisher
- Frontiers Media SA
Subject
- brain connectivity
- Information Theory
- transfer entropy
- Granger causality
- mutual information
- structural connectome
- functional connectome
- network theory
- computational neuroscience
- neuroinformatics
Date
- 2015
- 2015
Providing institution
Rights statement for the media in this item (unless otherwise specified)
- http://creativecommons.org/licenses/by/4.0/
Rights
- http://creativecommons.org/licenses/by/3.0/legalcode
Identifier
- http://journal.frontiersin.org/researchtopic/1241/information-based-methods-for-neuroimaging-analyzing-structure-function-and-dynamics
- http://www.doabooks.org/doab?func=search&query=rid:17737
- ISBN: 9782889195022
Language
- English
Year
- 2015
Providing country
- Netherlands
Collection name
First time published on Europeana
- 2016-08-17T15:47:35.472Z
Last time updated from providing institution
- 2016-09-19T12:17:27.104Z