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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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Detalhes bibliográficos
Publicado no:PLoS Comput Biol
Main Authors: Shorten, David P., Spinney, Richard E., Lizier, Joseph T.
Formato: Artigo
Idioma:Inglês
Publicado em: Public Library of Science 2021
Assuntos:
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC8084348/
https://ncbi.nlm.nih.gov/pubmed/33872296
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pcbi.1008054
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