A Data-Driven Measure of Effective Connectivity Based on Renyi's α-Entropy

Transfer entropy (TE) is a model-free effective connectivity measure based on information theory. It has been increasingly used in neuroscience because of its ability to detect unknown non-linear interactions, which makes it well suited for exploratory brain effective connectivity analyses. Like all...

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Detalles Bibliográficos
Autores principales: De La Pava Panche, Ivan, Alvarez-Meza, Andres M., Orozco-Gutierrez, Alvaro
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6888095/
https://www.ncbi.nlm.nih.gov/pubmed/31849588
http://dx.doi.org/10.3389/fnins.2019.01277

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6888095/
https://www.ncbi.nlm.nih.gov/pubmed/31849588
http://dx.doi.org/10.3389/fnins.2019.01277

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