• Characteristic sounds facilitate object search in real-life scenes

  Kvasova, Daria; Garcia-Vernet, Laia; Soto Faraco, Salvador (Frontiers, 2019)

  Real-world events do not only provide temporally and spatially correlated information across the senses, but also semantic correspondences about object identity. Prior research has shown that object sounds can enhance ...
• Awakening: Predicting external stimulation to force transitions between different brain states

  Deco, Gustavo; Cruzat, Josephine; Cabral, Joana; Tagliazucchi, Enzo; Laufs, Helmut; Logothetis, Nikos K.; Kringelbach, Morten L. (National Academy of Sciences, 2019)

  A fundamental problem in systems neuroscience is how to force a transition from one brain state to another by external driven stimulation in, for example, wakefulness, sleep, coma, or neuropsychiatric diseases. This requires ...
• A new computational approach to estimate whole-brain effective connectivity from functional and structural MRI, applied to language development

  Hahn, Gerald; Skeide, Michael A.; Mantini, Dante; Ganzetti, Marco; Destexhe, Alain; Friederici, Angela D.; Deco, Gustavo (Nature Research, 2019)

  Recently introduced effective connectivity methods allow for the in-vivo investigation of large-scale functional interactions between brain regions. However, dynamic causal modeling, the most widely used technique to date, ...
• Altered ability to access a clinically relevant control network in patients remitted from major depressive disorder

  Figueroa, Caroline A.; Cabral, Joana; Mocking, Roeal J.T.; Rapuano, Kristina M.; van Hartevelt, Tim J.; Deco, Gustavo; Expert, Paul; Schene, Aart H.; Kringelback, Morten L.; Ruhé, Henricus G. (Wiley, 2019)

  Neurobiological models to explain vulnerability of major depressive disorder (MDD) are scarce and previous functional magnetic resonance imaging studies mostly examined “static” functional connectivity (FC). Knowing that ...
• Measure profile surrogates: a method to validate the performance of epileptic seizure prediction algorithms

  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 ...
• Improved statistical test for nonstationarity using recurrence time statistics

  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 ...
• Detection of weak directional coupling: phase-dynamics approach versus state-space approach

  Smirnov, Dmitry A.; Andrzejak, Ralph Gregor (American Physical Society, 2005)

  We compare two conceptually different approaches to the detection of weak directional couplings between two oscillatory systems from bivariate time series. The first approach is based on the analysis of the systems’ phase ...
• Independent delta/theta rhythms in the human hippocampus and entorhinal cortex

  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 ...
• Using bivariate signal analysis to characterize the epileptic focus: the benefit of surrogates

  Andrzejak, Ralph Gregor; Chicharro Raventós, Daniel; Lehnertz, Klaus; Mormann, Florian (American Physical Society, 2011)

  The disease epilepsy is related to hypersynchronous activity of networks of neurons. While acute epileptic seizures are the most extreme manifestation of this hypersynchronous activity, an elevated level of interdependence ...
• On the spectral formulation of Granger causality

  Chicharro Raventós, Daniel (Springer, 2011)

  Spectral measures of causality are used to explore the role of different rhythms in the causal connectivity between brain regions. We study several spectral measures related to Granger causality, comprising the bivariate ...
• Nonrandomness, nonlinear dependence, and nonstationarity of electroencephalographic recordings from epilepsy patients

  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 ...
• Methodological advances in brain connectivity

  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 ...
• Detecting determinism from point processes

  Andrzejak, Ralph Gregor; Mormann, Florian; Kreuz, Thomas (American Physical Society, 2014)

  The detection of a nonrandom structure from experimental data can be crucial for the classification, understanding, and interpretation of the generating process. We here introduce a rank-based nonlinear predictability ...
• Gamut reduction through local saturation reduction

  Zamir, Syed Waqas; Vazquez-Corral, Javier; Bertalmío, Marcelo (Society for Imaging Science and Technology, 2017)
• Gamut mapping for visual attention retargeting

  Vazquez-Corral, Javier; Bertalmío, Marcelo (Society for Imaging Science and Technology, 2017)

  Visual attention retargeting attempts to modify an image such that the viewer’s attention is directed to specific regions. Goals include highlighting a particular object or hiding possible problems in the image. In this ...
• Atrial functional and geometrical remodeling in highly trained male athletes: for better or worse?

  Gabrielli, Luigi; Bijnens, Bart; Butakoff, Constantine; Duchateau, Nicolas; Montserrat, Silvia; Merino, Beatriz; Gutierrez, Josep; Paré, Carles; Mont, Lluís; Brugada, Josep; Sitges, Marta (Springer, 2014)

  Purpose Highly trained athletes have an increased risk of atrial arrhythmias. Atrial geometrical and functional remodeling may be the underlying substrate. We analyze and relate atrial size, deformation and performance ...
• Interatrial dyssynchrony may contribute to heart failure symptoms in patients with preserved ejection fraction

  Sanchis, Laura; Vannini, Luca; Gabrielli, Luigi; Duchateau, Nicolas; Falces, Carles; Andrea, Rut; Bijnens, Bart; Sitges, Marta (Wiley, 2015)

  Purpose Heart failure (HF) with preserved ejection fraction (HFPEF) is the most prevalent type of HF in nonhospitalized patients, but its pathophysiology remains poorly understood. The aim of our study was to assess the ...
• Co-creating a web-based visual representation model for authoring blended learning designs

  Albó, Laia; Hernández Leo, Davinia (Scuola IaD, 2019)

  This paper reports the co-creation process carried out during the development of a web-based visual representation model for authoring blended learning designs. The results of several participatory design workshops with ...
• Analysis of UAV communications in cell-free massive MIMO systems

  D’Andrea, Carmen; García Rodríguez, Adrián; Geraci, Giovanni; Galati Giordano, Lorenzo; Buzzi, Stefano (Institute of Electrical and Electronics Engineers (IEEE), 2020)

  We study support for unmanned aerial vehicle (UAV) communications through a cell-freemassive MIMO architecture, wherein a large number of access points (APs) is deployed in place of largeco-located massive MIMO arrays. We ...
• Learned effects of structural components of newscasts on viewers’ information processing: The case of Stings

  Barreda Ángeles, Miguel; Pereda-Baños, Alexandre; Ferràndiz Bofill, Xavier; Costa, Albert, 1970- (De Gruyter, 2017)

  This article proposes that syntactic features of newscasts can act as learned motivational stimuli determining both viewers’ attention and memory for information. An experiment was conducted in which we manipulated the ...

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