Extending Transfer Entropy Improves Identification of Effective Connectivity in a Spiking Cortical Network Model

Transfer entropy (TE) is an information-theoretic measure which has received recent attention in neuroscience for its potential to identify effective connectivity between neurons. Calculating TE for large ensembles of spiking neurons is computationally intensive, and has caused most investigators to...

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Detalles Bibliográficos
Autores principales: Ito, Shinya, Hansen, Michael E., Heiland, Randy, Lumsdaine, Andrew, Litke, Alan M., Beggs, John M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2011
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3216957/
https://www.ncbi.nlm.nih.gov/pubmed/22102894
http://dx.doi.org/10.1371/journal.pone.0027431

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3216957/
https://www.ncbi.nlm.nih.gov/pubmed/22102894
http://dx.doi.org/10.1371/journal.pone.0027431

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