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Robustness and versatility of a nonlinear interdependence method for directional coupling detection from spike trains
- Source :
- Physical review. E, Statistical, nonlinear, and soft matter physics, 96 (2017): 022203-1–022203-11. doi:10.1103/PhysRevE.96.022203, info:cnr-pdr/source/autori:Malvestio I.; Kreuz T.; Andrzejak R.G./titolo:Robustness and versatility of a nonlinear interdependence method for directional coupling detection from spike trains/doi:10.1103%2FPhysRevE.96.022203/rivista:Physical review. E, Statistical, nonlinear, and soft matter physics (Print)/anno:2017/pagina_da:022203-1/pagina_a:022203-11/intervallo_pagine:022203-1–022203-11/volume:96, Physical Review E, Recercat. Dipósit de la Recerca de Catalunya, instname
- Publication Year :
- 2017
- Publisher :
- Published by the American Physical Society through the American Institute of Physics, Melville, NY , Stati Uniti d'America, 2017.
-
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. 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).
- Subjects :
- Operations research
Computer science
Spike train
Time series analysis
GENERALIZED SYNCHRONIZATION
DYNAMICAL-SYSTEMS
CONNECTIVITY
EEG
VARIABILITY
RELIABILITY
PREDICTION
PRECISION
PATTERNS
NEURONS
Synchronization
7. Clean energy
01 natural sciences
Point process
03 medical and health sciences
0302 clinical medicine
Software
Robustness (computer science)
Dynamical systems
0103 physical sciences
010306 general physics
Coupled oscillators
Quantitative Biology::Neurons and Cognition
business.industry
Neuronal network models
Chaotic systems
Experimental data
Interdisciplinary physics
Nonlinear system
Directional coupling
Nonlinear dynamics
Train
Networks
business
Biological system
030217 neurology & neurosurgery
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Journal :
- Physical review. E, Statistical, nonlinear, and soft matter physics, 96 (2017): 022203-1–022203-11. doi:10.1103/PhysRevE.96.022203, info:cnr-pdr/source/autori:Malvestio I.; Kreuz T.; Andrzejak R.G./titolo:Robustness and versatility of a nonlinear interdependence method for directional coupling detection from spike trains/doi:10.1103%2FPhysRevE.96.022203/rivista:Physical review. E, Statistical, nonlinear, and soft matter physics (Print)/anno:2017/pagina_da:022203-1/pagina_a:022203-11/intervallo_pagine:022203-1–022203-11/volume:96, Physical Review E, Recercat. Dipósit de la Recerca de Catalunya, instname
- Accession number :
- edsair.doi.dedup.....d79181f217b2ef05886c3b41fe0f84d4
- Full Text :
- https://doi.org/10.1103/PhysRevE.96.022203