• Differences in applied electrical power between full thorax models and limited-domain models for RF cardiac ablation

  Irastorza, Ramiro M.; González-Suárez, Ana; Pérez, Juan J.; Berjano, Enrique J. (Taylor & Francis, 2020)

  Purpose: Most modeling studies on radiofrequency cardiac ablation (RFCA) are based on limited-domain models, which means the computational domain is restricted to a few centimeters of myocardium and blood around the active ...
• Reduced spatiotemporal brain dynamics are associated with increased depressive symptoms after a relationship breakup

  Alonso Martínez, Sonsoles; Marsman, Jan-Bernard C.; Kringelbach, Morten L.; Deco, Gustavo; ter Horst, Gert J. (Elsevier, 2020)

  Depressive symptoms following a stressful life event, such as a relationship breakup, are common, and constitute a potent risk factor for the onset of a major depressive episode. Resting-state neuroimaging studies have ...
• GaN-based versatile waveform generator for biomedical applications of electroporation

  Sarnago, Héctor; Burdío, José Miguel; García Sánchez, Tomás; Mir, Lluis M.; Álvarez Gariburo, Ignacio; Lucía, Óscar (Institute of Electrical and Electronics Engineers (IEEE), 2020)

  Biomedical applications often require high-performance power supplies for diagnosis and treatment systems. In particular, modern electroporation techniques for cancer treatment require high-voltage generators with versatile ...
• Evaluating causes of algorithmic bias in juvenile criminal recidivism

  Miron, Marius; Tolan, Songül; Gómez Gutiérrez, Emilia, 1975-; Castillo, Carlos (Springer, 2020)

  In this paper we investigate risk prediction of criminal re-offense among juvenile defendants using general-purpose machine learning (ML) algorithms. We show that in our dataset, containing hundreds of cases, ML models ...
• From cognitive control to visual incongruity: conflict detection in surrealistic images

  Ruzzoli, Manuela; McGuinness, Aoife; Morís Fernández, Luis, 1982-; Soto-Faraco, Salvador, 1970- (Public Library of Science (PLoS), 2020)

  This study explored brain responses to images that exploit incongruity as a creative technique, often used in advertising (i.e., surrealistic images). We hypothesized that these images would reveal responses akin to cognitive ...
• Opening or closing eyes at rest modulates the functional connectivity of V1 with default and salience networks

  Costumero, Víctor; Bueichekú, Elisenda; Adrián Ventura, Jesús; Ávila, César (Springer, 2020)

  Current evidence suggests that volitional opening or closing of the eyes modulates brain activity and connectivity. However, how the eye state influences the functional connectivity of the primary visual cortex has been ...
• Cortical-inspired Wilson–Cowan-type equations for orientation-dependent contrast perception modelling

  Bertalmío, Marcelo; Calatroni, Luca; Franceschi, Valentina; Franceschiello, Benedetta; Prandi, Dario (Springer, 2020)

  We consider the evolution model proposed in Bertalmío (Front Comput Neurosci 8:71, 2014), Bertalmío et al. (IEEE Trans Image Process 16(4):1058–1072, 2007) to describe illusory contrast perception phenomena induced by ...
• Genetic algorithm with healthy population and multiple streams sharing information for clustering

  Beg, Abul Hashem; Islam, Md Zahidul; Estivill-Castro, Vladimir (Elsevier, 2016)

  Many popular clustering techniques including K-means require various user inputs such as the number of clusters k, which can often be very difficult for a user to guess in advance. Moreover, existing techniques like K-means ...
• Autonomous stock counting based on a stigmergic algorithm for multi-robot systems

  Casamayor-Pujol, Victor; Morenza-Cinos, Marc; Gastón, Bernat; Pous Andrés, Rafael (Elsevier, 2020)

  Maintaining an accurate and close to real time inventory of items is crucial for an efficient Supply Chain Management (SCM), which is one of the main pillars of successful business decisions in the retail market. Due to ...
• A synthetic data generator for online social network graphs

  Nettleton, David F. (Springer, 2016)

  Two of the difficulties for data analysts of online social networks are (1) the public availability of data and (2) respecting the privacy of the users. One possible solution to both of these problems is to use synthetically ...
• Combining K-MEANS and a genetic algorithm through a novel arrangement of genetic operators for high quality clustering

  Islam, Zahidul; Estivill Castro, Vladimir; Rahman, Anisur; Bossomaier, Terry (Elsevier, 2018)

  Knowledge discovery from data can be broadly categorized into two types: supervised and unsupervised. A supervised knowledge discovery process such as classification by decision trees typically requires class labels which ...
• Visual information flow in Wilson–Cowan networks

  Gómez Villa, Alexander; Bertalmío, Marcelo; Malo, Jesús (American Physiological Society, 2020)

  In this paper, we study the communication efficiency of a psychophysically tuned cascade of Wilson–Cowan and divisive normalization layers that simulate the retina-V1 pathway. This is the first analysis of Wilson–Cowan ...
• Lifespan associated global patterns of coherent neural communication

  Sahoo, Bikash; Pathak, Anagh; Deco, Gustavo; Banerjee, Arpan; Roy, Dipanjan (Elsevier, 2020)

  Healthy ageing is accompanied by changes to spontaneous electromagnetic oscillations. At the macroscopic scale, previous studies have quantified the basic features, e.g., power and frequencies in rhythms of interest from ...
• A neuronal theory of sequential economic choice

  Hayden, Benjamin Y.; Moreno Bote, Rubén (SAGE Publications, 2018)

  Results of recent studies point towards a new framework for the neural bases of economic choice. The principles of this framework include the idea that evaluation is limited to a single option within the focus of attention ...
• Mucosa: a music content semantic annotator

  Celma Herrada, Òscar; Massaguer, Jordi; Cano Vila, Pedro; Gómez Gutiérrez, Emilia, 1975-; Gouyon, Fabien; Koppenberger, Markus; García, David (International Society for Music Information Retrieval (ISMIR), 2005)

  MUCOSA (Music Content Semantic Annotator) is an environment for the annotation and generation of music metadata at different levels of abstraction. It is composed of three tiers: an annotation client that deals with ...
• Towards teacher orchestration load-aware teacher-facing dashboards

  Amarasinghe, Ishari; Vujovic, Milica; Hernández Leo, Davinia (CEUR Workshop Proceedings, 2020)

  In this workshop paper, we report a study conducted to investigate the use of tracking technologies to measure the teachers’ orchestration load when conducting colocated collaborative learning activities. We distinguish ...
• Música i persuasió

  Herrera Boyer, Perfecto, 1964- (Indigestió Musical, 2009)
• Música y persuasión

  Herrera Boyer, Perfecto, 1964- (Indigestió Musical, 2009)
• There are places I remember: personalized automatic creation ofmusic playlists for Alzheimer's patients

  Navarro, Felipe L.; Herrera Boyer, Perfecto, 1964-; Gómez Gutiérrez, Emilia, 1975- (2014)

  We present here the basic algorithm and initial evaluation of a system that creates personalized playlists for specific patients. First, a musical anamnesis form is used to elicit relevant information about the musical ...
• k-Best hidden Markov model decoding for unit selection in concatenative sound synthesis

  Nuanáin, Cárthach Ó; Jordà Puig, Sergi; Herrera Boyer, Perfecto, 1964- (Springer, 2018)

  Concatenative synthesis is a sample-based approach to sound creation used frequently in speech synthesis and, increasingly, in musical contexts. Unit selection, a key component, is the process by which sounds are chosen ...

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