Browsing by Author "Malvestio, Irene"

Sort by: Order: Results:

  • Malvestio, Irene (Universitat Pompeu Fabra, 2019-02-21)
    An important problem in neuroscience is the assessment of the connectivity between neurons from their spike trains. One recent approach developed for the detection of directional couplings between dynamics based on ...
  • Andrzejak, Ralph Gregor; Ruzzene, Giulia; Malvestio, Irene (American Institute of Physics (AIP), 2017)
    Networks of coupled oscillators in chimera states are characterized by an intriguing interplay of synchronous and asynchronous motion. While chimera states were initially discovered in mathematical model systems, there is ...
  • Andrzejak, Ralph Gregor; Ruzzene, Giulia; Malvestio, Irene (2017)
    This page provides the source code underlying the manuscript: Andrzejak RG, Ruzzene G, Malvestio I. 2017. Generalized synchronization between chimera states. Chaos. 27(5): 053114 If you use any of these resources, please ...
  • Leguia, Marc G.; Martínez, Cristina G. B.; Malvestio, Irene; Tauste Campo, Adrià; Rocamora, Rodrigo; Levnajić, Zoran; Andrzejak, Ralph Gregor (American Physical Society, 2019)
    Inferring the topology of a network using the knowledge of the signals of each of the interacting units is key to understanding real-world systems. One way to address this problem is using data- driven methods like ...
  • Leguia, Marc G.; Martínez, Cristina G. B.; Malvestio, Irene; Tauste Campo, Adrià; Rocamora, Rodrigo; Levnajić, Zoran; Andrzejak, Ralph Gregor (Universitat Pompeu Fabra, 2019)
    This page provides the source code underlying the manuscript: Leguia MG, Martínez CGB, Malvestio I, Campo A T, Rocamora R, Levnajic Z, Andrzejak RG. 2019. Inferring directed networks using a rank-based connectivity measure. ...
  • Andrzejak, Ralph Gregor; Ruzzene, Giulia; Malvestio, Irene; Schindler, Kaspar A.; Schöll, Eckehard; Zakharova, Anna (American Institute of Physics (AIP), 2018)
    We study two-layer networks of identical phase oscillators. Each individual layer is a ring network for which a non-local intra-layer coupling leads to the formation of a chimera state. The number of oscillators and their ...
  • Malvestio, Irene; Satuvuori, Eero; Mulansky, Mario; Bozanic, Nebojsa; Malvestio, Irene; Zeldenrust, Fleur; Lenk, Kerstin; Kreuz, Thomas (Elsevier, 2017)
    Background Measures of spike train synchrony are widely used in both experimental and computational neuroscience. Time-scale independent and parameter-free measures, such as the ISI-distance, the SPIKE-distance and ...
  • Malvestio, Irene; Kreuz, Thomas; Andrzejak, Ralph Gregor (American Physical Society, 2017)
    The detection of directional couplings between dynamics based onmeasured spike trains is a crucial problem in the understanding of many different systems. In particular, in neuroscience it is important to assess the ...
  • Malvestio, Irene; Kreuz, Thomas; Andrzejak, Ralph Gregor (2017)
    This page provides the source code and results underlying the manuscript: Malvestio I, Kreuz T, Andrzejak RG. 2017. Robustness and versatility of a nonlinear interdependence method for directional coupling detection from ...