1.1k citations · 2.3k across the 6 of their papers we have counts for
6 papers
Nonlinear multivariate analysis of Neurophysiological Signals
Ernesto Pereda, Rodrigo Quian Quiroga, Joydeep Bhattacharya
Multivariate time series analysis is extensively used in neurophysiology with the aim of studying the relationship between simultaneously recorded signals. Recently, advances on in…
Reply to ``Comments on Kullback-Leibler and renormalized entropies: Applications to electroencephalograms of epilepsy patients"
R. Quian Quiroga, J. Arnhold, K. Lehnertz +1
Kopitzki et al (preceeding comment) claim that the relationship between Renormalized and Kullback-Leibler entropies has already been given in their previous papers. Moreover, they…
On the performance of different synchronization measures in real data: a case study on EEG signals
R. Quian Quiroga, A. Kraskov, T. Kreuz +1
We study the synchronization between left and right hemisphere rat EEG channels by using various synchronization measures, namely non-linear interdependences, phase-synchronization…
Obtaining single stimulus evoked potentials with Wavelet Denoising
R. Quian Quiroga
We present a method for the analysis of electroencephalograms (EEG). In particular, small signals due to stimulation, so called evoked potentials, have to be detected in the backgr…
Kullback-Leibler and Renormalized Entropy: Applications to EEGs of Epilepsy Patients
R. Quian Quiroga, J. Arnhold, K. Lehnertz +1
Recently, renormalized entropy was proposed as a novel measure of relative entropy (P. Saparin et al., Chaos, Solitons & Fractals 4, 1907 (1994)) and applied to several physiologic…
Learning Driver-Response Relationships from Synchronization Patterns
R. Quian Quiroga, J. Arnhold, P. Grassberger
We test recent claims that causal (driver/response) relationships can be deduced from interdependencies between simultaneously measured time series. We apply two recently proposed…