Information Decomposition in Bivariate Systems: Theory and Application to Cardiorespiratory Dynamics

@article{Faes2015InformationDI,
  title={Information Decomposition in Bivariate Systems: Theory and Application to Cardiorespiratory Dynamics},
  author={Luca Faes and Alberto Porta and Giandomenico Nollo},
  journal={Entropy},
  year={2015},
  volume={17},
  pages={277-303}
}
In the framework of information dynamics, the temporal evolution of coupled systems can be studied by decomposing the predictive information about an assigned target system into amounts quantifying the information stored inside the system and the information transferred to it. While information storage and transfer are computed through the known self-entropy (SE) and transfer entropy (TE), an alternative decomposition evidences the so-called cross entropy (CE) and conditional SE (cSE… CONTINUE READING
Highly Cited
This paper has 51 citations. REVIEW CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 31 extracted citations

51 Citations

01020302015201620172018
Citations per Year
Semantic Scholar estimates that this publication has 51 citations based on the available data.

See our FAQ for additional information.

References

Publications referenced by this paper.
Showing 1-10 of 61 references

Conditional entropy-based evaluation of information dynamics in physiological systems

  • L. Faes, A. Porta
  • In Directed Information Measures
  • 2014
Highly Influential
4 Excerpts

Similar Papers

Loading similar papers…