Analysis of sampling artifacts on the Granger causality analysis for topology extraction of neuronal dynamics

Granger causality (GC) is a powerful method for causal inference for time series. In general, the GC value is computed using discrete time series sampled from continuous-time processes with a certain sampling interval length τ, i.e., the GC value is a function of τ. Using the GC analysis for the top...

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Detalles Bibliográficos
Autores principales: Zhou, Douglas, Zhang, Yaoyu, Xiao, Yanyang, Cai, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2014
Materias:
Neuroscience
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4115622/
https://www.ncbi.nlm.nih.gov/pubmed/25126067
http://dx.doi.org/10.3389/fncom.2014.00075

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4115622/
https://www.ncbi.nlm.nih.gov/pubmed/25126067
http://dx.doi.org/10.3389/fncom.2014.00075

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