Robustness and versatility of a nonlinear interdependence method for directional coupling detection from spike trains
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- dc.contributor.author Malvestio, Ireneca
- dc.contributor.author Kreuz, Thomasca
- dc.contributor.author Andrzejak, Ralph Gregorca
- dc.date.accessioned 2017-08-29T14:22:29Z
- dc.date.available 2017-08-29T14:22:29Z
- dc.date.issued 2017
- dc.description.abstract 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 connectivity between neurons.One of the approaches that can estimate directional coupling from the analysis of point processes is the nonlinear interdependence measure L. Although its efficacy has already been demonstrated, it still needs to be tested under more challenging and realistic conditions prior to an application to real data. Thus, in this paper we use the Hindmarsh-Rose model system to test the method in the presence of noise and for different spiking regimes.We also examine the influence of different parameters and spike train distances. Our results show that the measure L is versatile and robust to various types of noise, and thus suitable for application to experimental data.en
- dc.description.sponsorship We acknowledge funding from the European Union Horizon 2020 research and innovation programme under theMarie Skłodowska-Curie Grant Agreement No. 642563 “Complex Oscillatory Systems: Modeling and Analysis” (COSMOS), (I.M., T.K., R.G.A.), and from the Volkswagen Foundation, the Spanish Ministry of Economy and Competitiveness Grant No. FIS2014-54177-R and the CERCA Programme of the Generalitat de Catalunya (R.G.A).en
- dc.format.mimetype application/pdf
- dc.identifier.citation Malvestio I, Kreuz T, Andrzejak RG. Robustness and versatility of a nonlinear interdependence method for directional coupling detection from spike trains. Phys. Rev. E. 2017 Aug 3;96:022203. DOI: 10.1103/PhysRevE.96.022203
- dc.identifier.doi http://dx.doi.org/10.1103/PhysRevE.96.022203
- dc.identifier.issn 2470-0045
- dc.identifier.uri http://hdl.handle.net/10230/32713
- dc.language.iso eng
- dc.publisher American Physical Societyca
- dc.relation.ispartof Physical Review E. 2017 Aug 3;96:022203
- dc.relation.isreferencedby http://hdl.handle.net/10230/42827
- dc.relation.projectID info:eu-repo/grantAgreement/EC/H2020/642563
- dc.relation.projectID info:eu-repo/grantAgreement/ES/1PE/FIS2014-54177-R
- dc.rights © American Physical Society. Published article available at https://journals.aps.org/pre/abstract/10.1103/PhysRevE.96.022203
- dc.rights.accessRights info:eu-repo/semantics/openAccess
- dc.subject.keyword Coupled oscillatorsen
- dc.subject.keyword Synchronizationen
- dc.subject.keyword Chaotic systemsen
- dc.subject.keyword Dynamical systemsen
- dc.subject.keyword Neuronal network modelsen
- dc.subject.keyword Time series analysisen
- dc.subject.keyword Interdisciplinary physicsen
- dc.subject.keyword Networksen
- dc.subject.keyword Nonlinear dynamicsen
- dc.title Robustness and versatility of a nonlinear interdependence method for directional coupling detection from spike trainsca
- dc.type info:eu-repo/semantics/article
- dc.type.version info:eu-repo/semantics/acceptedVersion