HERMES: Towards an Integrated Toolbox to Characterize Functional and Effective Brain Connectivity

@article{Niso2013HERMESTA,
  title={HERMES: Towards an Integrated Toolbox to Characterize Functional and Effective Brain Connectivity},
  author={Guiomar Niso and Ricardo Bru{\~n}a and Ernesto Pereda and Ricardo Guti{\'e}rrez and Ricardo Bajo and Fernando Maest{\'u} and Francisco del Pozo},
  journal={Neuroinformatics},
  year={2013},
  volume={11},
  pages={405-434}
}
The analysis of the interdependence between time series has become an important field of research in the last years, mainly as a result of advances in the characterization of dynamical systems from the signals they produce, the introduction of concepts such as generalized and phase synchronization and the application of information theory to time series analysis. In neurophysiology, different analytical tools stemming from these concepts have added to the ‘traditional’ set of linear methods… 

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