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Browsing by Author "Andrzejak, Ralph Gregor"
Now showing items 21-40 of 53
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Grau Leguia, Marc; Andrzejak, Ralph Gregor; Levnajić, Zoran (Institute of Physics (IOP), 2017)Topologies of real-world complex networks are rarely accessible, but can often be reconstructed from experimentally obtained time series via suitable network reconstruction methods. Extending our earlier work on methods ...
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Andrzejak, Ralph Gregor; Ruzzene, Giulia; Malvestio, Irene (American Institute of Physics (AIP), 2017)Networks of coupled oscillators in chimera states are characterized by an intriguing interplay of synchronous and asynchronous motion. While chimera states were initially discovered in mathematical model systems, there is ...
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Andrzejak, Ralph Gregor; Ruzzene, Giulia; Malvestio, Irene (2017)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 ...
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Kraskov, Alexander; Stögbauer, Harald; Andrzejak, Ralph Gregor; Grassberger, Peter (IOP Publishing Ltd., 2005)We present a conceptually simple method for hierarchical clustering of data called mutual information clustering (MIC) algorithm. It uses mutual information (MI) as a similarity measure and exploits its grouping property: ...
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Rieke, Christoph; Andrzejak, Ralph Gregor; Mormann, Florian; Lehnertz, Klaus (American Physical Society, 2003)We have recently introduced a measure for nonstationarity using a recurrence time statistic to assess stationarity. In this paper we propose an extension of this method based on a detailed study of the statistics for the ...
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Mormann, Florian; Osterhage, Hannes; Andrzejak, Ralph Gregor; Weber, Bernd; Fernández, Guillén; Fell, Juerguen; Elger, Christian E.; Lehnertz, Klaus (Frontiers, 2008)Theta oscillations in the medial temporal lobe (MTL) of mammals are involved in various functions such as spatial navigation, sensorimotor integration, and cognitive processing. While the theta rhythm was originally assumed ...
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Andrzejak, Ralph Gregor; Lehnertz, Klaus; Mormann, Florian; Rieke, Christoph; David, Peter; Elger, Christian E. (American Physical Society, 2001)We compare dynamical properties of brain electrical activity from different recording regions and from different physiological and pathological brain states. Using the nonlinear prediction error and an estimate of an ...
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Andrzejak, Ralph Gregor; Lehnertz, Klaus; Rieke, Christoph; Mormann, Florian; David, Peter; Elger, Christian E. (2001)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 ...
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Grau Leguia, Marc; Martínez, Cristina G. B.; Malvestio, Irene; Tauste Campo, Adrià; Rocamora, Rodrigo; Levnajić, Zoran; Andrzejak, Ralph Gregor (American Physical Society, 2019)Inferring the topology of a network using the knowledge of the signals of each of the interacting units is key to understanding real-world systems. One way to address this problem is using data- driven methods like ...
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Leguia, Marc G.; Martínez, Cristina G. B.; Malvestio, Irene; Tauste Campo, Adrià; Rocamora, Rodrigo; Levnajić, Zoran; Andrzejak, Ralph Gregor (Universitat Pompeu Fabra, 2019)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. ...
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Andrzejak, Ralph Gregor; Ruzzene, Giulia; Malvestio, Irene; Schindler, Kaspar A.; Schöll, Eckehard; Zakharova, Anna (American Institute of Physics (AIP), 2018)We study two-layer networks of identical phase oscillators. Each individual layer is a ring network for which a non-local intra-layer coupling leads to the formation of a chimera state. The number of oscillators and their ...
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Kreuz, Thomas; Andrzejak, Ralph Gregor; Mormann, Florian; Kraskov, Alexander; Stögbauer, Harald; Elger, Christian E.; Lehnertz, Klaus; Grassberger, Peter (American Physical Society, 2004)In a growing number of publications it is claimed that epileptic seizures can be predicted by analyzing the electroencephalogram (EEG) with different characterizing measures. However, many of these studies suffer from a ...
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Rieke, Christoph; Sternickel, Karsten; Andrzejak, Ralph Gregor; Elger, Christian E.; David, Peter; Lehnertz, Klaus (American Physical Society, 2002)We propose a measure for nonstationarity which is based on the analysis of distributions of temporal distances of neighboring vectors in state space. As an extension of previous techniques our method does not require a ...
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Faes, Luca; Andrzejak, Ralph Gregor; Ding, Mingzhou; Kugiumtzis, Dimitris (Hindawi, 2012)Determining how distinct neurons or brain regions are connected and communicate with each other is a crucial point in neuroscience, as it allows to investigate how the functional integration of specialized neural populations ...
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Serrà Julià, Joan; Kantz, Holger; Andrzejak, Ralph Gregor (ACM Association for Computer Machinery, 2010)Current systems for cover song detection are based on a model-free approach: they basically search for similarities in descriptor time series reflecting the evolution of tonal information in a musical piece. In this ...
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Martínez, Cristina G. B. (Universitat Pompeu Fabra, 2020-11-27)The use of nonlinear signal analysis measures to characterize electroencephalographic (EEG) recordings can be key for a better understanding of the underlying brain dynamics. In neurological disorders such as epilepsy, ...
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Andrzejak, Ralph Gregor; Schindler, Kaspar A.; Rummel, Christian (American Physiological Society, 2012)To derive tests for randomness, nonlinear-independence, and stationarity, we combine surrogates with a nonlinear prediction error, a nonlinear interdependence measure, and linear variability measures, respectively. We apply ...
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Andrzejak, Ralph Gregor; Schindler, Kaspar A.; Rummel, Christian (2012)This page provides the source code, data, and detailed results of the manuscript: Andrzejak RG, Schindler K, Rummel C. Nonrandomness, nonlinear dependence, and nonstationarity of electroencephalographic recordings from ...
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Espinoso Palacín, Anaïs; Andrzejak, Ralph Gregor (American Physical Society, 2022)The severe neurological disorder epilepsy affects almost 1% of the world population. For patients who suffer from pharmacoresistant focal-onset epilepsy, electroencephalographic (EEG) recordings are essential for the ...
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Serrà Julià, Joan; Kantz, Holger; Serra, Xavier; Andrzejak, Ralph Gregor (Institute of Electrical and Electronics Engineers (IEEE), 2011)Intuitively, music has both predictable and unpredictable components. In this work we assess this qualitative statement in a quantitative way using common time series models fitted to state-of-the-art music descriptors. ...
Now showing items 21-40 of 53
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