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 $tau$, emph{i.e.}, the GC value is a function of $tau$. Using the GC analys...

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Bibliographic Details
Main Authors: Douglas eZhou, Yaoyu eZhang, Yanyang eXiao, David eCai
Format: Article
Language:English
Published: Frontiers Media S.A. 2014-07-01
Series:Frontiers in Computational Neuroscience
Subjects:
Online Access:http://journal.frontiersin.org/Journal/10.3389/fncom.2014.00075/full