Browsing by Author "Chicharro Raventós, Daniel"

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  • Chicharro Raventós, Daniel (Universitat Pompeu Fabra, 2011-05-10)
    We study two methods of data analysis which are common tools for the analysis of neuronal data. In particular, we examine how causal interactions between brain regions can be investigated using time series reflecting the ...
  • Chicharro Raventós, Daniel (Springer, 2011)
    Spectral measures of causality are used to explore the role of different rhythms in the causal connectivity between brain regions. We study several spectral measures related to Granger causality, comprising the bivariate ...
  • Chicharro Raventós, Daniel; Andrzejak, Ralph Gregor (American Physical Society, 2009)
    To detect directional couplings from time series various measures based on distances in reconstructed state spaces were introduced. These measures can, however, be biased by asymmetries in the dynamics' structure, noise ...
  • Chicharro Raventós, Daniel; Andrzejak, Ralph Gregor (2009)
    This page provides the source code underlying the manuscript: Chicharro D, Andrzejak RG (2009): Reliable detection of directional couplings using rank statistics. Physical Review E, 80, 026217. If you use any of these ...
  • Andrzejak, Ralph Gregor; Chicharro Raventós, Daniel; Lehnertz, Klaus; Mormann, Florian (American Physical Society, 2011)
    The disease epilepsy is related to hypersynchronous activity of networks of neurons. While acute epileptic seizures are the most extreme manifestation of this hypersynchronous activity, an elevated level of interdependence ...
  • Chicharro Raventós, Daniel; Kreuz, Thomas; Andrzejak, Ralph Gregor (Elsevier, 2011)
    Time scale parametric spike train distances like the Victor and the van Rossum distances/nare often applied to study the neural code based on neural stimuli discrimination./nDifferent neural coding hypotheses, such as rate ...
  • Chicharro Raventós, Daniel; Ledberg, Anders (Public Library of Science, 2012)
    Biological systems often consist of multiple interacting subsystems, the brain being a prominent example. To understand/nthe functions of such systems it is important to analyze if and how the subsystems interact and to ...

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