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

Irene Malvestio, Thomas Kreuz, and Ralph G. Andrzejak
Phys. Rev. E 96, 022203 – Published 3 August 2017

Abstract

The detection of directional couplings between dynamics based on measured 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.

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  • Received 26 April 2017

DOI:https://doi.org/10.1103/PhysRevE.96.022203

©2017 American Physical Society

Physics Subject Headings (PhySH)

Nonlinear DynamicsNetworksInterdisciplinary Physics

Authors & Affiliations

Irene Malvestio1,2,3,*, Thomas Kreuz3, and Ralph G. Andrzejak1,4

  • 1Department of Information and Communication Technologies, Universitat Pompeu Fabra, 08018 Barcelona, Spain
  • 2Department of Physics and Astronomy, University of Florence, 50119 Sesto Fiorentino, Italy
  • 3Institute for Complex Systems, CNR, 50119 Sesto Fiorentino, Italy
  • 4Institute for Bioengineering of Catalonia (IBEC), The Barcelona Institute of Science and Technology, 08028 Barcelona, Spain

  • *irene.malvestio@upf.edu

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Issue

Vol. 96, Iss. 2 — August 2017

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