• “Cascades, torrents & drowning” in information: seeking help in the contemporary general practitioner practice in the UK

  Holley, Debbie; Santos Rodríguez, Patrícia; Cook, John; Kerr, Micky P. (Taylor & Francis, 2016)

  This paper responds to the Alpine Rendez-Vous “crisis” in technology-enhanced learning. It takes a contested area of policy as well as a rapid change in the National Health Service, and documents the responses to “information ...
• Uncovering the spatiotemporal scales of common neuro-mental constructs

  Deco, Gustavo (Elsevier, 2019)
• Electrophoresis-assisted accumulation of conductive nanoparticles for the enhancement of cell electropermeabilization

  Garcia-Sanchez, Tomas (Elsevier, 2021)
• Enhancing consent forms to support participant decision making in multimodal learning data research

  Beardsley, Marc; Martínez Moreno, Judit; Vujovic, Milica; Hernández Leo, Davinia; Santos Rodríguez, Patrícia (Wiley, 2020)

  Advances in the field of multimodal learning analytics (MMLA) research is often accomplished by actively exploring new technologies and techniques related to the collection and analysis of data. Exploration of ethical ...
• Segmentation of the placenta and its vascular tree in Doppler ultrasound for fetal surgery planning

  Perera Bel, Enric; Ceresa, Mario; Torrents Barrena, Jordina; Masoller, Narcís; Valenzuela Alcaraz, Brenda; Gratacós Solsona, Eduard; Eixarch, Elisenda; González Ballester, Miguel Ángel, 1973- (Springer, 2020)

  Purpose Twin-to-twin transfusion syndrome (TTTS) is a serious condition that occurs in about 10–15% of monochorionic twin pregnancies. In most instances, the blood flow is unevenly distributed throughout the placenta ...
• The Dynamics of functional brain networks associated with depressive symptoms in a nonclinical sample

  Alonso Martínez, Sonsoles; Deco, Gustavo; ter Horst, Gert J.; Cabral, Joana (Frontiers, 2020)

  Brain function depends on the flexible and dynamic coordination of functional subsystems within distributed neural networks operating on multiple scales. Recent progress has been made in the characterization of functional ...
• Statistical learning in domestic chicks is modulated by strain and sex

  Santolin, Chiara; Rosa Salva, Orsola; Lemaire, Bastien S.; Regolin, Lucia; Vallortigara, Giorgio (Nature Research, 2020)

  Statistical learning is a key mechanism for detecting regularities from a variety of sensory inputs. Precocial newborn domestic chicks provide an excellent model for (1) exploring unsupervised forms of statistical learning ...
• CoNTe: a core network temporal blockchain for 5G

  Platt, Steven; Sanabria Russo, Luis; Oliver Riera, Miquel (MDPI, 2020)

  Virtual Network Functions allow the effective separation between hardware and network functionality, a strong paradigm shift from previously tightly integrated monolithic, vendor, and technology dependent deployments. In ...
• EdCrumble, a data-enriched visual authoring design tool for blended learning

  Albó, Laia; Hernández Leo, Davinia (Institute of Electrical and Electronics Engineers (IEEE), 2020)

  This paper presents an evaluation of edCrumble, a blended learning authoring tool for teachers. The tool visually represents learning designs and integrates data analytics to scaffold teacher design decisions. In addition ...
• Auditory and frontal anatomic correlates of pitch discrimination in musicians, non-musicians, and children without musical training

  Palomar García, María Ángeles; Hernández Pardo, Mireia; Olcina, Gustau; Adrián Ventura, Jesús; Costumero, Víctor; Miró Padilla, Anna; Villar Rodríguez, Esteban; Ávila, César (Springer, 2020)

  Individual differences in pitch discrimination have been associated with the volume of both the bilateral Heschl’s gyrus and the right inferior frontal gyrus (IFG). However, most of these studies used samples composed of ...
• Integration of artificial intelligence into clinical patient management: focus on cardiac imaging

  Loncaric, Filip; Camara, Oscar; Piella Fenoy, Gemma; Bijnens, Bart (Elsevier, 2020)

  Cardiac imaging is a crucial component in the management of patients with heart disease, and as such it influences multiple, inter-related parts of the clinical workflow: physician-patient contact, image acquisition, image ...
• Visual-reward driven changes of movement during action execution

  Marti Marca, Angela; Deco, Gustavo; Cos, Ignasi (Nature Research, 2020)

  Motor decision-making is often described as a sequential process, beginning with the assessment of available options and leading to the execution of a selected movement. While this view is likely to be accurate for decisions ...
• Remote pacemaker control of chimera states in multilayer networks of neurons

  Ruzzene, Giulia; Omelchenko, Iryna; Sawicki, Jakub; Zakharova, Anna; Schöll, Eckehard; Andrzejak, Ralph Gregor (American Physical Society, 2020)

  Networks of coupled nonlinear oscillators allow for the formation of nontrivial partially synchronized spatiotemporal patterns, such as chimera states, in which there are coexisting coherent (synchronized) and incoherent ...
• Seizure onset zone lateralization using a non-linear analysis of micro vs. macro electroencephalographic recordings during seizure-free stages of the sleep-wake cycle from epilepsy patients

  Martínez, Cristina G. B.; Niediek, Johannes; Mormann, Florian; Andrzejak, Ralph Gregor (Frontiers, 2020)

  The application of non-linear signal analysis techniques to biomedical data is key to improve our knowledge about complex physiological and pathological processes. In particular, the use of non-linear techniques to study ...
• In silico pace-mapping: prediction of left vs. right outflow tract origin in idiopathic ventricular arrhythmias with patient-specific electrophysiological simulations

  Doste, Rubén; Sebastián Aguilar, Rafael, 1978-; Gomez, Juan Francisco; Soto-Iglesias, David; Alcaine, Alejandro; Mont, Lluís; Berruezo Sánchez, Antonio; Penela, Diego; Camara, Oscar (Oxford University Press, 2020)

  Aims A pre-operative non-invasive identification of the site of origin (SOO) of outflow tract ventricular arrhythmias (OTVAs) is important to properly plan radiofrequency ablation procedures. Although some algorithms based ...
• Comprehensive data integration—Toward a more personalized assessment of diastolic function

  Loncaric, Filip; Cikes, Maja; Sitges, Marta; Bijnens, Bart (Wiley, 2020)

  Background and aim: The main challenge of assessing diastolic function is the balance between clinical utility, in the sense of usability and time‐efficiency, and overall applicability, in the sense of precision for the ...
• Processing advantage for emotional words in bilingual speakers

  Ponari, Marta; Rodríguez Cuadrado, Sara, 1984-; Vinson, David; Fox, Neil; Costa, Albert, 1970-; Vigliocco, Gabriella (American Psychological Association (APA), 2015)

  Effects of emotion on word processing are well established in monolingual speakers. However, studies that have assessed whether affective features of words undergo the same processing in a native and nonnative language ...
• The Cortical dynamics of speaking: present shortcomings and future avenues

  Strijkers, Kristof; Costa, Albert, 1970- (Taylor & Francis, 2016)

  A central question in the cognitive neuroscience of language production concerns the cortical activation time-course by which different word production components become available to the speaker. According to the dominant ...
• On the overlap between bilingual language control and domain-general executive control

  Branzi, Francesca Martina, 1984-; Calabria, Marco; Boscarino, Maria Lucrezia; Costa, Albert, 1970- (Elsevier, 2016)

  We explored the overlap between bilingual language control (bLC) and domain-general executive control (EC) by focusing on inhibitory control processes. We tested 62 bilinguals in linguistic and non-linguistic switching ...
• Capacity of the covariance perceptron

  Dahmen, David; Gilson, Matthieu; Helias, Moritz (IOP Publishing Ltd., 2020)

  The classical perceptron is a simple neural network that performs a binary classification by a linear mapping between static inputs and outputs and application of a threshold. For small inputs, neural networks in a stationary ...

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