Add to ORKGOn the evaluation of information flow in multivariate systems by the directed transfer functio
Statistical relationships among the variables of a complex system reveal a lot about its physical be...
The continuously growing framework of information dynamics encompasses a set of tools, rooted in inf...
Transfer Entropy and Directed Information are information-theoretic measures of the directional depe...
The directed transfer function (dtf) has been proposed as a measure of information flow between the ...
submitted, minor changes, different presentation of simulation resultsThis paper deals with the stud...
In this paper, a rigorous formalism of information transfer within a multi-dimensional deterministic...
We propose a formal expansion of the transfer entropy to address the problem or partial conditioning...
Accurately determining dependency structure is critical to discovering a system's causal or...
Accurately determining dependency structure is critical to understanding a complex system’s organiza...
International audienceIn this paper we present an approach to analyze the direction of information f...
We derive three fundamental decompositions on relevant information quantities in feedback systems. T...
Statistical relationships among the variables of a complex system reveal a lot about its physical be...
Information-theoretic quantities, such as entropy and mutual information (MI), can be used to quanti...
Analysis of information transfer has found rapid adoption in neuroscience, where a highly dynamic tr...
For the evaluation of information flow in bivariate time series, information measures have been empl...
Statistical relationships among the variables of a complex system reveal a lot about its physical be...
The continuously growing framework of information dynamics encompasses a set of tools, rooted in inf...
Transfer Entropy and Directed Information are information-theoretic measures of the directional depe...
The directed transfer function (dtf) has been proposed as a measure of information flow between the ...
submitted, minor changes, different presentation of simulation resultsThis paper deals with the stud...
In this paper, a rigorous formalism of information transfer within a multi-dimensional deterministic...
We propose a formal expansion of the transfer entropy to address the problem or partial conditioning...
Accurately determining dependency structure is critical to discovering a system's causal or...
Accurately determining dependency structure is critical to understanding a complex system’s organiza...
International audienceIn this paper we present an approach to analyze the direction of information f...
We derive three fundamental decompositions on relevant information quantities in feedback systems. T...
Statistical relationships among the variables of a complex system reveal a lot about its physical be...
Information-theoretic quantities, such as entropy and mutual information (MI), can be used to quanti...
Analysis of information transfer has found rapid adoption in neuroscience, where a highly dynamic tr...
For the evaluation of information flow in bivariate time series, information measures have been empl...
Statistical relationships among the variables of a complex system reveal a lot about its physical be...
The continuously growing framework of information dynamics encompasses a set of tools, rooted in inf...
Transfer Entropy and Directed Information are information-theoretic measures of the directional depe...