Measuring the Non-linear Directed Information Flow in Schizophrenia by Multivariate Transfer Entropy-Reference-Cited by-同舟云学术

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Measuring the Non-linear Directed Information Flow in Schizophrenia by Multivariate Transfer Entropy

Published:2020-01-10 Issue: Volume:13 Page:
ISSN:1662-5188
Container-title:Frontiers in Computational Neuroscience
language:
Short-container-title:Front. Comput. Neurosci.

Author:

Harmah Dennis Joe,Li Cunbo,Li Fali,Liao Yuanyuan,Wang Jiuju,Ayedh Walid M. A.,Bore Joyce Chelangat,Yao Dezhong,Dong Wentian,Xu Peng

Publisher

Frontiers Media SA

Subject

Cellular and Molecular Neuroscience,Neuroscience (miscellaneous)

Reference73 articles.

1. Resting-state functional connectivity alterations in the default network of schizophrenia patients with persistent auditory verbal hallucinations;Alonso-Solís;Schizophr. Res.,2015

2. P300 Detection Based on EEG Shape Features;Alvarado-González;Comput. Math. Methods Med.,2016

3. Granger causality analysis in neuroscience and neuroimaging;Anil;J. Neurosci.,2015

4. Human brain networks in health and disease;Bassett;Curr. Opin. Neurol.,2009

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