Classification-Based Prediction of Effective Connectivity Between Timeseries With a Realistic Cortical Network Model

Effective connectivity measures the pattern of causal interactions between brain regions. Traditionally, these patterns of causality are inferred from brain recordings using either non-parametric, i.e., model-free, or parametric, i.e., model-based, approaches. The latter approaches, when based on bi...

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Detalles Bibliográficos
Autores principales: Olivetti, Emanuele, Benozzo, Danilo, Bím, Jan, Panzeri, Stefano, Avesani, Paolo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2018
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5996713/
https://www.ncbi.nlm.nih.gov/pubmed/29922142
http://dx.doi.org/10.3389/fncom.2018.00038

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5996713/
https://www.ncbi.nlm.nih.gov/pubmed/29922142
http://dx.doi.org/10.3389/fncom.2018.00038

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