Resultados totales (Incluyendo duplicados): 408
Encontrada(s) 41 página(s)
Encontrada(s) 41 página(s)
CORA.Repositori de Dades de Recerca
doi:10.34810/data182
Dataset. 2021
PHASE IRREGULARITY: A CONCEPTUALLY SIMPLE AND EFFICIENT APPROACH TO CHARACTERIZE ELECTROENCEPHALOGRAPHIC RECORDINGS FROM EPILEPSY PATIENTS [SOURCE CODE AND WORKSPACES]
- Espinoso, Anaïs
- Andrzejak, Ralph Gregor
This dataset provides you with the source codes and results underlying the manuscript: Espinoso A and Andrzejak RG. 2022. Phase irregularity: A conceptually simple and efficient approach to characterize electroencephalographic recordings from epilepsy patients. Phys. Rev. E. 105, 034212. In order to understand the source code, you should first read the manuscript. All the detailed information explaining how to use the source code and how the results are organized can be found in the readme file.
The code is done using MATLAB and it uses the same notation for mathematical symbols as in the manuscript. Additional comments can be found throughout the source code. The code files starting by "EA" are done for obtaining the results of the manuscript Espinoso 2022. The code files starting by "ASR" were used for obtaining surrogates and filter the signals. If you use these last mentioned codes, please cite the following paper:
Andrzejak RG, Schindler K, Rummel C. Nonrandomness, nonlinear dependence, and nonstationarity of electroencephalographic recordings from epilepsy patients. Phys. Rev. E, 86, 046206, 2012
To get started with the code for obtaining the EEG results open EA_EEG_Main.m, and for the Rössler results open EA_Rossler_Main.m. We have tested the code, and to the best of our knowledge it has no bugs. In case you have any questions or problems, please contact us.
The same results obtained in the paper for the EEG and Rössler are available in MATLAB format. Please, read the important remark in the readme file. If you run the analysis using the codes provided here, you will not get identical results as in the paper. This is the reason why we provide the identical results here.
Proyecto: //
CORA.Repositori de Dades de Recerca
doi:10.34810/data487
Dataset. 2023
INFERRING DIRECTED NETWORKS USING A RANK-BASED CONNECTIVITY MEASURE [SOFTWARE]
- Grau Leguia, Marc
- Martínez, Cristina G. B.
- Malvestio, Irene
- Tauste Campo, Adrià
- Rocamora, Rodrigo
- Levnajić, Zoran
- Andrzejak, Ralph Gregor
This page provides the source code underlying the manuscript:
Leguia MG, Martínez CGB, Malvestio I, Campo A T, Rocamora R, Levnajic Z,
Andrzejak RG. 2019. Inferring directed networks using a rank-based connectivity
measure. Phys. Rev. E. 99, 012319
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
Proyecto: //
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]
- 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
Proyecto: //
CORA.Repositori de Dades de Recerca
doi:10.34810/data489
Dataset. 2017
GENERALIZED SYNCHRONIZATION BETWEEN CHIMERA STATES [SOFTWARE]
- Andrzejak, Ralph Gregor
- Ruzzene, Giulia
- Malvestio, Irene
This page provides the source code underlying the manuscript:
Andrzejak RG, Ruzzene G, Malvestio I. 2017. Generalized synchronization between
chimera states. Chaos. 27(5): 053114
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
Proyecto: //
CORA.Repositori de Dades de Recerca
doi:10.34810/data490
Dataset. 2001
INDICATIONS OF NONLINEAR DETERMINISTIC AND FINITE-DIMENSIONAL STRUCTURES IN TIME SERIES OF BRAIN ELECTRICAL ACTIVITY: DEPENDENCE ON RECORDING REGION AND BRAIN STATE [DATASET]
- Andrzejak, Ralph Gregor
- Lehnertz, Klaus
- Rieke, Christoph
- Mormann, Florian
- David, Peter
- Elger, Christian E.
This page data analyzed in the manuscript: Andrzejak RG, Lehnertz K, Rieke C, Mormann F, David P, Elger CE (2001) Indications of nonlinear deterministic and finite dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state, Phys. Rev. E, 64, 061907. 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
Proyecto: //
CORA.Repositori de Dades de Recerca
doi:10.34810/data491
Dataset. 2009
RELIABLE DETECTION OF DIRECTIONAL COUPLINGS USING RANK STATISTICS [SOFTWARE]
- Chicharro Raventós, Daniel
- Andrzejak, Ralph Gregor
This page provides the source code underlying the manuscript:
Chicharro D, Andrzejak RG (2009): Reliable detection of directional couplings using
rank statistics. Physical Review E, 80, 026217.
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
Proyecto: //
CORA.Repositori de Dades de Recerca
doi:10.34810/data492
Dataset. 2006
DETECTING EVENT-RELATED TIME-DEPENDENT DIRECTIONAL COUPLINGS [SOFTWARE]
- Andrzejak, Ralph Gregor
- Ledberg, Anders
- Deco, Gustavo
This page provides the source code underlying the manuscript:
Andrzejak RG, Ledberg A, Deco G (2006): Detecting event-related time-dependent
directional couplings. New Journal of Physics 8, 6
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
Proyecto: //
CORA.Repositori de Dades de Recerca
doi:10.34810/data493
Dataset. 2011
CHARACTERIZING UNIDIRECTIONAL COUPLINGS BETWEEN POINT PROCESSES AND FLOWS [DATASET]
- Andrzejak, Ralph Gregor
- Kreuz, Thomas
This page provides the source code and results underlying the manuscript:
Andrzejak RG, Kreuz T (2011): Characterizing unidirectional couplings between point processes
and flows. EPL, 96, 50012
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
Proyecto: //
CORA.Repositori de Dades de Recerca
doi:10.34810/data494
Dataset. 2023
DETECTING DETERMINISM WITH IMPROVED SENSITIVITY IN TIME SERIES: RANK-BASED NONLINEAR PREDICTABILITY SCORE [SOFTWARE]
- Naro, Daniel
- Rummel, Christian
- Schindler, Kaspar A.
- Andrzejak, Ralph Gregor
MATLAB source codes (.m) and MATLAB workspace (.mat)
Proyecto: //
CORA.Repositori de Dades de Recerca
doi:10.34810/data495
Dataset. 2023
DETECTING DETERMINISM FROM POINT PROCESSES [SOFTWARE]
- Andrzejak, Ralph Gregor
- Mormann, Florian
- Kreuz, Thomas
Source code in MATLAB format (.m)
Proyecto: //
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