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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...
| Autores principales: | , , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Public Library of Science
2011
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| Materias: | |
| 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 |