Figure 6From: TRENTOOL: A Matlab open source toolbox to analyse information flow in time series data with transfer entropyRobustness of TE analysis against common noise and volume conduction. (A) Independent white Gaussian noise processes X,Y. Left: Significant couplings (i.e. false positives) at a test level of 5%. Right: significant shift test results at a test level of 5%. (B) Single Gaussian white noise process X observed by two noisy sensors Xε, Yε. (C) Two independent Gaussian white noise sources X,Y, observed via a linear mixing system on two noisy sensors Xε, Yε. (D) Mixing as in C. Here, the two source AR(10) processes are coupled by a quadratic coupling function.Back to article page