We introduce a directionality index for a time series based on a comparison of neighboring values. It can distinguish unidirectional from bidirectional coupling, as well as reveal and quantify asymmetry in bidirectional coupling. It is tested on a numerical model of coupled van der Pol oscillators, and applied to cardiorespiratory data from healthy subjects. There is no need for preprocessing and fine-tuning the parameters, which makes the method very simple, computationally fast and robust
The permutation conditional mutual information (PCMI) is proposed to estimate the directionality ind...
A general approach is developed for the detection of phase relationships between two or more differe...
The present work addresses two central questions in the analysis of time series. The first part deal...
We introduce a directionality index for a time series based on a comparison of neighboring values. I...
A directionality index based on conditional mutual information is proposed for application to the in...
In many signal processing applications, especially in the analysis of complex physiological systems,...
We compare two conceptually different approaches to the detection of weak directional couplings betw...
Markovian analysis is applied to derive nonlinear stochastic equations for the reconstruction of hea...
<p>The top panel shows sample time series for driving and driven variables. As is changed from , ...
In the present work, we present a new algorithm for assessing causality in uni-directionally coupled...
We compare two conceptually different approaches to the detection of weak directional couplings betw...
This work presents a comparison between different approaches for the model-free estimation of inform...
A novel approach is suggested for detecting the presence or absence of synchronization between two o...
Abstract—In the study of complex systems, one of the primary concerns is the characterization and qu...
Dynamical system theory has recently shown promise for uncovering causality and directionality in co...
The permutation conditional mutual information (PCMI) is proposed to estimate the directionality ind...
A general approach is developed for the detection of phase relationships between two or more differe...
The present work addresses two central questions in the analysis of time series. The first part deal...
We introduce a directionality index for a time series based on a comparison of neighboring values. I...
A directionality index based on conditional mutual information is proposed for application to the in...
In many signal processing applications, especially in the analysis of complex physiological systems,...
We compare two conceptually different approaches to the detection of weak directional couplings betw...
Markovian analysis is applied to derive nonlinear stochastic equations for the reconstruction of hea...
<p>The top panel shows sample time series for driving and driven variables. As is changed from , ...
In the present work, we present a new algorithm for assessing causality in uni-directionally coupled...
We compare two conceptually different approaches to the detection of weak directional couplings betw...
This work presents a comparison between different approaches for the model-free estimation of inform...
A novel approach is suggested for detecting the presence or absence of synchronization between two o...
Abstract—In the study of complex systems, one of the primary concerns is the characterization and qu...
Dynamical system theory has recently shown promise for uncovering causality and directionality in co...
The permutation conditional mutual information (PCMI) is proposed to estimate the directionality ind...
A general approach is developed for the detection of phase relationships between two or more differe...
The present work addresses two central questions in the analysis of time series. The first part deal...