Dataset. 2017

Robustness and versatility of a nonlinear interdependence method for directional coupling detection from spike trains [software]

CORA.Repositori de Dades de Recerca
doi:10.34810/data488
CORA.Repositori de Dades de Recerca
  • Malvestio, Irene
  • Kreuz, Thomas
  • Andrzejak, Ralph Gregor
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 spike trains. Physical Review E 96, 022203. If you use any of these resources, please make sure that you cite this reference. For more detailed information, please refer to https://www.upf.edu/web/ntsa/downloads
 
DOI: https://doi.org/10.34810/data488
CORA.Repositori de Dades de Recerca
doi:10.34810/data488

HANDLE: https://doi.org/10.34810/data488
CORA.Repositori de Dades de Recerca
doi:10.34810/data488
 
Ver en: https://doi.org/10.34810/data488
CORA.Repositori de Dades de Recerca
doi:10.34810/data488

Recercat. Dipósit de la Recerca de Catalunya
oai:recercat.cat:2072/316203
Artículo científico (article).

ROBUSTNESS AND VERSATILITY OF A NONLINEAR INTERDEPENDENCE METHOD FOR DIRECTIONAL COUPLING DETECTION FROM SPIKE TRAINS

Recercat. Dipósit de la Recerca de Catalunya
  • Malvestio, Irene
  • Kreuz, Thomas
  • Andrzejak, Ralph Gregor
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., 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).




CORA.Repositori de Dades de Recerca
doi:10.34810/data488
Dataset. 2017

ROBUSTNESS AND VERSATILITY OF A NONLINEAR INTERDEPENDENCE METHOD FOR DIRECTIONAL COUPLING DETECTION FROM SPIKE TRAINS [SOFTWARE]

CORA.Repositori de Dades de Recerca
  • Malvestio, Irene
  • Kreuz, Thomas
  • Andrzejak, Ralph Gregor
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 spike trains. Physical Review E 96, 022203. If you use any of these resources, please make sure that you cite this reference. For more detailed information, please refer to https://www.upf.edu/web/ntsa/downloads