2026-04-14T05:35:16Zhttps://recercat.cat/oai/requestoai:recercat.cat:10230/327132025-12-20T16:47:35Zcom_2072_6col_2072_452952
RECERCAT
author
Malvestio, Irene
author
Kreuz, Thomas
author
Andrzejak, Ralph Gregor
2017-08-29T14:22:29Z2017-08-29T14:22:29Z2017
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).
© American Physical Society. Published article available at https://journals.aps.org/pre/abstract/10.1103/PhysRevE.96.022203 info:eu-repo/semantics/openAccess
Coupled oscillators
Synchronization
Chaotic systems
Dynamical systems
Neuronal network models
Time series analysis
Interdisciplinary physics
Networks
Nonlinear dynamics
Robustness and versatility of a nonlinear interdependence method for directional coupling detection from spike trains
info:eu-repo/semantics/article info:eu-repo/semantics/acceptedVersion