• SafeSmart: a VANET system for faster responses and increased safety in time-critical scenarios

  Kochenborger Duarte, Eduardo; Da Costa, Luis Antonio L.F.; Erneberg, Mikael; Pignaton de Freitas, Edison; Bellalta, Boris; Vinel, Alexey (Institute of Electrical and Electronics Engineers (IEEE), 2021)

  An important use case for Vehicular Ad-hoc Networks (VANETs) is its application in the warning systems of emergency vehicles (EV). VANET-based vehicle-to-infrastructure (V2I) communication can be used to exchange important ...
• Multi-armed bandits for spectrum allocation in multi-agent channel bonding WLANs

  Bellalta, Boris (Institute of Electrical and Electronics Engineers (IEEE), 2021)

  While dynamic channel bonding (DCB) is proven to boost the capacity of wireless local area networks (WLANs) by adapting the bandwidth on a per-frame basis, its performance is tied to the primary and secondary channel ...
• Volume conduction for powering deeply implanted networks of wireless injectable medical devices: a numerical parametric analysis

  Tudela Pi, Marc; Minguillon, Jesus; Becerra Fajardo, Laura; Ivorra Cano, Antoni, 1974- (Institute of Electrical and Electronics Engineers (IEEE), 2021)

  The use of networks of wireless active implantable medical devices (AIMDs) could revolutionize the way that numerous severe illnesses are treated. However, the development of sub-mm AIMDs is hindered by the bulkiness and ...
• Projection-based collision detection algorithm for stereoelectroencephalography electrode risk assessment and re-planning

  Higueras-Esteban, Alfredo; Delgado-Martínez, Ignacio; Serrano Pérez, Laura; Infante-Santos, Nazaret; Narváez-Martínez, Alejandra; Principe, Alessandro; Rocamora, Rodrigo; Conesa, Gerardo; Serra, Luis; González Ballester, Miguel Ángel, 1973- (Institute of Electrical and Electronics Engineers (IEEE), 2021)

  Surgical planning is crucial to Stereoelectroencephalography (SEEG), a minimally invasive procedure that requires clinicians to operate with no direct view of the brain. Decisions making involves different clinical ...
• The Menstrual cycle modulates whole-brain turbulent dynamics

  De Filippi, Eleonora; Uribe, Carme; Avila-Varela, Daniela S.; Martínez-Molina, Noelia; Gashaj, Venera; Pritschet, Laura; Santander, Tyler; Jacobs, Emily G.; Kringelbach, Morten L.; Sanz Perl, Yonatan; Deco, Gustavo; Escrichs, Anira (Frontiers, 2021)

  Brain dynamics have recently been shown to be modulated by rhythmic changes in female sex hormone concentrations across an entire menstrual cycle. However, many questions remain regarding the specific differences in ...
• Evidence-based network modelling to simulate nucleus pulposus multicellular activity in different nutritional and pro-inflammatory environments

  Baumgartner, Laura; Sadowska, Aleksandra; González Ballester, Miguel Ángel, 1973-; Wuertz-Kozak, Karin; Noailly, Jérôme (Frontiers, 2021)

  Initiation of intervertebral disc degeneration is thought to be biologically driven. This reflects a process, where biochemical and mechanical stimuli affect cell activity (CA) that compromise the tissue strength over ...
• Revealing the relevant spatiotemporal scale underlying whole-brain dynamics

  Kobeleva, Xenia; López-González, Ane, 1993-; Kringelbach, Morten L.; Deco, Gustavo (Frontiers, 2021)

  The brain rapidly processes and adapts to new information by dynamically transitioning between whole-brain functional networks. In this whole-brain modeling study we investigate the relevance of spatiotemporal scale in ...
• The Response of governments and public health agencies to COVID-19 pandemics on social media: a multi-country analysis of Twitter discourse

  Li, Lan; Aldosery, Aisha; Vitiugin, Fedor; Nathan, Naomi; Novillo-Ortiz, David; Castillo, Carlos; Kostkova, Patty (Frontiers, 2021)

  During the COVID-19 pandemic, information is being rapidly shared by public health experts and researchers through social media platforms. Whilst government policies were disseminated and discussed, fake news and ...
• 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 ...

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