• Distinguishing self, other, and autonomy from visual feedback: a combined correlation and acceleration transfer analysis

  Demirel, Berkay; Moulin-Frier, Clément; Arsiwalla, Xerxes D.; Verschure, Paul F. M. J.; Sánchez Fibla, Martí (Frontiers, 2021)

  In cognitive science, Theory of Mind (ToM) is the mental faculty of assessing intentions and beliefs of others and requires, in part, to distinguish incoming sensorimotor (SM) signals and, accordingly, attribute these ...
• Classification of complex emotions using EEG and virtual environment: proof of concept and therapeutic implication

  De Filippi, Eleonora; Wolter, Mara; Melo, Bruno R. P.; Tierra-Criollo, Carlos J.; Bortolini, Tiago; Deco, Gustavo; Moll, Jorge (Frontiers, 2021)

  During the last decades, neurofeedback training for emotional self-regulation has received significant attention from scientific and clinical communities. Most studies have investigated emotions using functional magnetic ...
• Deep learning framework for real-time estimation of in-silico thrombotic risk indices in the left atrial appendage

  Morales Ferez, Xabier; Mill, Jordi; Juhl, Kristine Aavild; Acebes, Cesar; Iriart, Xavier; Legghe, Benoit; Cochet, Hubert; De Backer, Ole; Paulsen, Rasmus R.; Camara, Oscar (Frontiers, 2021)

  Patient-specific computational fluid dynamics (CFD) simulations can provide invaluable insight into the interaction of left atrial appendage (LAA) morphology, hemodynamics, and the formation of thrombi in atrial fibrillation ...
• Rapid encoding of musical tones discovered in whole-brain connectivity

  Bonetti, Leonardo; Brattico, Elvira; Carlomagno, Francesco; Donati, Giovanni; Cabral, Jose; Haumann, Niels Trusbak; Deco, Gustavo; Vuust, Peter; Kringelbach, Morten L. (Elsevier, 2021)

  Information encoding has received a wide neuroscientific attention, but the underlying rapid spatiotemporal brain dynamics remain largely unknown. Here, we investigated the rapid brain mechanisms for encoding of sounds ...
• Capturing the non-stationarity of whole-brain dynamics underlying human brain states

  Galadí, Javier Alejandro; Silva Pereira, Silvana; Sanz Per, Yonatan; Kringelbach, Morten L.; Gayte, Inmaculada; Lauf, Helmut; Tagliazucchi, Enzo; Langa, Jose Antonio; Deco, Gustavo (Elsevier, 2021)

  Brain dynamics depicts an extremely complex energy landscape that changes over time, and its characterisation is a central unsolved problem in neuroscience. We approximate the non-stationary landscape sustained by the human ...
• Emotion-Core: an open source framework for emotion detection research

  Alvarez-Gonzalez, Nurudin; Kaltenbrunner, Andreas; Gómez, Vicenç (Elsevier, 2021)

  Identifying emotions from text is crucial for a variety of real world tasks. We describe Emotion-Core, an OpenSource framework for training, evaluating, and showcasing textual Emotion Detection models. Our framework is ...
• Functional harmonics reveal multi-dimensional basis functions underlying cortical organization

  Glomb, Katharina; Kringelbach, Morten L.; Deco, Gustavo; Hagmann, Patric; Pearson, Joel; Atasoy, Selen (Cambridge Medical Publications, 2021)

  The human brain consists of specialized areas that flexibly interact to form a multitude of functional networks. Complementary to this notion of modular organization, brain function has been shown to vary along a ...
• Modulation of cortical slow oscillations and complexity across anesthesia levels

  Dasilva, Miguel; Camassa, Alessandra; Navarro-Guzman, Alvaro; Pazienti, Antonio; Perez-Mendez, Lorena; Zamora-López, Gorka; Mattia, Maurizio; Sanchez-Vives, Maria V. (Elsevier, 2021)

  The ability of different groups of cortical neurons to engage in causal interactions that are at once differentiated and integrated results in complex dynamic patterns. Complexity is low during periods of unconsciousness ...
• The Effect of noise on the synchronization dynamics of the Kuramoto model on a large human connectome graph

  Ódor, Géza; Kelling, Jeffrey; Deco, Gustavo (Elsevier, 2021)

  We have extended the study of the Kuramoto model with additive Gaussian noise running on the KKI-18 large human connectome graph. We determined the dynamical behavior of this model by solving it numerically in an assumed ...
• Urban sound & sight: dataset and benchmark for audio-visual urban scene understanding

  Fuentes, Magdalena; Steers, Bea; Zinemanas, Pablo; Rocamora, Martín; Bondi, Luca; Wilkins, Julia; Shi, Qianyi; Hou, Yao; Das, Samarjit; Serra, Xavier; Bello, Juan Pablo (Institute of Electrical and Electronics Engineers (IEEE), 2022)

  Automatic audio-visual urban traffic understanding is a growing area of research with many potential applications of value to industry, academia, and the public sector. Yet, the lack of well-curated resources for training ...
• Misaligned spinal rods can induce high internal forces consistent with those observed to cause screw pullout and disc degeneration

  Loenen, Arjan C.Y.; Noriega, David C.; Ruiz Will, Carlos; Noailly, Jérôme; Nunley, Pierce D.; Kirchner, Rainer; Ito, Keita; van Rietbergen, Bert (Elsevier, 2021)

  BACKGROUND CONTEXT: Manual contouring of spinal rods is often required intraoperatively for proper alignment of the rods within the pedicle screw heads. Residual misalignments are frequently reduced by using dedicated ...
• Is there a bilingual disadvantage for word segmentation? A computational modeling approach

  Fibla, Laia; Sebastián Gallés, Núria; Cristia, Alejandrina (Cambridge University Press, 2021)

  Since there are no systematic pauses delimiting words in speech, the problem of word segmentation is formidable even for monolingual infants. We use computational modeling to assess whether word segmentation is substantially ...
• Dynamical consequences of regional heterogeneity in the brain’s transcriptional landscape

  Deco, Gustavo; Kringelbach, Morten L.; Arnatkeviciute, Aurina; Oldham, Stuart; Sabaroedin, Kristina; Rogasch, Nigel C.; Aquino, Kevin M.; Fornito, Alex (American Association for the Advancement of Science (AAAS), 2021)

  Brain regions vary in their molecular and cellular composition, but how this heterogeneity shapes neuronal dynamics is unclear. Here, we investigate the dynamical consequences of regional heterogeneity using a biophysical model ...
• Circuit mechanisms for the chemical modulation of cortex-wide network interactions and behavioral variability

  Pfeffer, Thomas; Ponce-Alvarez, Adrián; Tsetsos, Konstantinos; Meindertsma, Thomas; Gahnström, Christoffer Julius; van den Brink, Ruud Lucas; Nolte, Guido; Engel, Andreas Karl; Deco, Gustavo; Donner, Tobias Hinrich (American Association for the Advancement of Science (AAAS), 2021)

  Influential theories postulate distinct roles of catecholamines and acetylcholine in cognition and behavior. However, previous physiological work reported similar effects of these neuromodulators on the response ...
• Score difficulty analysis for piano performance education based on fingering

  Ramoneda, Pedro; Can Tamer, Nazif; Eremenko, Vsevolod; Serra, Xavier; Miron, Marius (Institute of Electrical and Electronics Engineers (IEEE), 2022)

  In this paper, we introduce score difficulty classification as a subtask of music information retrieval (MIR), which may be used in music education technologies, for personalised curriculum generation, and score retrieval. ...
• Ambiguity modelling with label distribution learning for music classification

  Buisson, Morgan; Alonso-Jiménez, Pablo; Bogdanov, Dmitry (Institute of Electrical and Electronics Engineers (IEEE), 2022)

  An important amount of work has been devoted to the task of music classification. Despite promising results achieved by convolutional neural networks, there still exists a gap left to be filled for such models to perform ...
• Clover: an anonymous transaction relay protocol for the bitcoin P2P network

  Franzoni, Federico; Daza, Vanesa (Springer, 2022)

  The Bitcoin P2P network currently represents a reference benchmark for modern cryptocurrencies. Its underlying protocol defnes how transactions and blocks are distributed through all participating nodes. To protect user ...
• Conflict monitoring and attentional adjustment duringbinocular rivalry

  Drew, Alice; Torralba, Mireia; Ruzzoli, Manuela; Morís Fernández, Luis, 1982-; Sabaté, Alba; Pápai, Márta Szabina, 1987-; Soto-Faraco, Salvador, 1970- (Wiley, 2021)

  To make sense of ambiguous and, at times, fragmentary sensory input, the brain must rely on a process of active interpretation. At any given moment, only one of several possible perceptual representations prevails in our ...
• Survey on 3D face reconstruction from uncalibrated images

  Morales, Araceli; Piella Fenoy, Gemma; Sukno, Federico Mateo (Elsevier, 2021)

  Recently, a lot of attention has been focused on the incorporation of 3D data into face analysis and its applications. Despite providing a more accurate representation of the face, 3D facial images are more complex to ...
• New privacy practices for blockchain software

  Bellés-Muñoz, Marta; Baylina, Jordi; Daza, Vanesa; Muñoz-Tapia, José L. (Institute of Electrical and Electronics Engineers (IEEE), 2022)

  In this article, we present the software tools we have implemented to bring complex privacy technologies closer to developers and to facilitate the implementation of privacyenabled blockchain applications

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