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Estimating Transfer Entropy in Continuous Time Between Neural Spike Trains or Other Event-Based Data

Transfer entropy (TE) is a widely used measure of directed information flows in a number of domains including neuroscience. Many real-world time series for which we are interested in information flows come in the form of (near) instantaneous events occurring over time. Examples include the spiking o...

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Detalles Bibliográficos
Autores principales:	Shorten, David P., Spinney, Richard E., Lizier, Joseph T.
Formato:	Online Artículo Texto
Lenguaje:	English
Publicado:	Public Library of Science 2021
Materias:	Research Article
Acceso en línea:	https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8084348/ https://www.ncbi.nlm.nih.gov/pubmed/33872296 http://dx.doi.org/10.1371/journal.pcbi.1008054

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