Synchronization as adjustment of information rates: detection from bivariate time series.

By Milan Palus, V. Komárek, Z. Hrnčíř, K. Sterbova. Physical review. E, Statistical, nonlinear, and soft matter physics, 2001

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Transfer entropy—a model-free measure of effective connectivity for the neurosciences (2010, background): “Interestingly, Paluš has shown that transfer entropy can be rewritten as a conditional mutual information (Paluš 2001; Hlavackova-Schindler et al. 2007).”
Nonlinear multivariate analysis of neurophysiological signals. (2005, background): “, 1985), a question that, in this context, has been also addressed by asymmetric information measures similar to transfer entropy (Palus et al., 2001).”
Causality detection based on information-theoretic approaches in time series analysis (2007, methodology): “Paluš et al. [159,160] applied their conditional mutual information based measures in analyses of electroencephalograms of patients suffering from epilepsy.”