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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...
| Autores principales: | , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Public Library of Science
2021
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| Materias: | |
| 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 |