Assessing cooperative behavior in dynamical networks with applications to brain data

@inproceedings{Carmeli2006AssessingCB,
  title={Assessing cooperative behavior in dynamical networks with applications to brain data},
  author={Cristian Carmeli},
  year={2006}
}
Capturing the collective coherent spatiotemporal activity from measured data in large ensembles of coupled nonlinear sub-systems has revealed to be a key topic in many areas of applied sciences. Currently, this topic is addressed by considering multivariate time series analysis tools. They provide methods whose limiting factors are the amount and quality of data, or the restricted applicability to the class of narrow-band signals. In this study, we propose three new methods to infer… CONTINUE READING

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