Information Decomposition in Multivariate Systems: Definitions, Implementation and Application to Cardiovascular Networks

@article{Faes2016InformationDI,
  title={Information Decomposition in Multivariate Systems: Definitions, Implementation and Application to Cardiovascular Networks},
  author={Luca Faes and Alberto Porta and Giandomenico Nollo and Michal Javorka},
  journal={Entropy},
  year={2016},
  volume={19},
  pages={5}
}
The continuously growing framework of information dynamics encompasses a set of tools, rooted in information theory and statistical physics, which allow to quantify different aspects of the statistical structure of multivariate processes reflecting the temporal dynamics of complex networks. Building on the most recent developments in this field, this work designs a complete approach to dissect the information carried by the target of a network of multiple interacting systems into the new… CONTINUE READING
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References

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SHOWING 1-10 OF 66 REFERENCES

Exploration of synergistic and redundant information sharing in static and dynamical Gaussian systems

  • A. B. Barrett
  • Phys. Rev. E
  • 2015
Highly Influential
5 Excerpts

Are nonlinear model-free approaches for the assessment of the entropy-based complexity of the cardiac control superior to a linear model-based one

  • A. Porta, B. De Maria, V. Bari, A. Marchi, L. Faes
  • IEEE Trans. Biomed. Eng.
  • 2016
1 Excerpt

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