• Design of word exercises for children with dyslexia

  Rello, Luz (Elsevier, 2014)

  This paper presents a method to design reinforcement word exercises to support children with dyslexia. The method takes into account linguistic patterns found in the errors written by people with dyslexia and their specific ...
• Identification and extraction of memes represented as semantic networks from free text online forums

  Beck-Fernández, Héctor; Nettleton, David F. (UNLISTED PUBLISHER, 2015)

  Memes have recently come into vogue in the context of 'viral' transmission of basic information units in online social networks. However, from their original general definition in a sociological context, there is still ...
• A Cross-sectional and longitudinal study on the protective effect of bilingualism against dementia using brain atrophy and cognitive measures

  Costumero, Víctor; Marin-Marin, Lidon; Calabria, Marco; Belloch, Vicente; Escudero, Joaquín; Baquero, Miguel; Hernandez, Mireia; Ruiz de Miras, Juan; Costa, Albert, 1970-; Parcet, Maria-Antònia; Ávila, César (BioMed Central, 2020)

  Background Evidence from previous studies suggests that bilingualism contributes to cognitive reserve because bilinguals manifest the first symptoms of Alzheimer’s disease (AD) up to 5 years later than monolinguals. Other ...
• Image-based 3D characterization of abdominal aortic aneurysm deformation after endovascular aneurysm repair

  López-Linares, Karen; García, Inmaculada; García, Ainhoa; Cortes, Camilo; Macía, Iván; González Ballester, Miguel Ángel, 1973- (Frontiers, 2019)

  An abdominal aortic aneurysm (AAA) is a focal dilation of the abdominal aorta, that if not treated, tends to grow and may rupture. The most common treatment for AAAs is the endovascular aneurysm repair (EVAR), which requires ...
• The effects of population tuning and trial-by-trial variability on information encoding and behavior

  Nogueira, Ramon; Peltier, Nicole E.; Anzai, Akiyuki; DeAngelis, Gregory C.; Martínez-Trujillo, Julio; Moreno-Bote, Rubén (Society for Neuroscience, 2020)

  Identifying the features of population responses that are relevant to the amount of information encoded by neuronal populations is a crucial step toward understanding population coding. Statistical features, such as tuning ...
• Issues with common assumptions about the camera pipeline and their impact in hdr imaging from multiple exposures

  Gil Rodríguez, Raquel; Vazquez-Corral, Javier; Bertalmío, Marcelo (SIAM (Society for Industrial and Applied Mathematics), 2019)

  Multiple-exposure approaches for high dynamic range (HDR) image generation share a set of building assumptions: that color channels are independent and that the camera response function (CRF) remains constant while changing ...
• On the nature of the word-reduction phenomenon: the contribution of bilingualism

  Rodriguez-Cuadrado, Sara; Baus, Cristina; Costa, Albert, 1970- (MDPI, 2019)

  Word reduction refers to how predictable words are shortened in features such as duration, intensity, or pitch. However, its origin is still unclear: Are words reduced because it is the second time that conceptual ...
• Robust algorithms with polynomial loss for near-unanimity CSPs

  Dalmau, Víctor; Kozik, Marcin; Krokhin, Andrei; Makarychev, Konstantin; Makarychev, Yury; Opršal, Jakub (SIAM (Society for Industrial and Applied Mathematics), 2019)

  An instance of the constraint satisfaction problem (CSP) is given by a family of constraints on overlapping sets of variables, and the goal is to assign values from a fixed domain to the variables so that all constraints ...
• Primate amygdala neurons simulate decision drocesses of social partners

  Grabenhorst, Fabian; Báez-Mendoza, Raymundo; Genest, Wilfried; Deco, Gustavo; Schultz, Wolfram (Elsevier, 2019)

  By observing their social partners, primates learn about reward values of objects. Here, we show that monkeys’ amygdala neurons derive object values from observation and use these values to simulate a partner monkey’s ...
• Low entropy map of brain oscillatory activity identifies spatially localized events

  Vila-Vidal, Manel; Pérez-Enríquez, Carmen; Principe, Alessandro; Rocamora, Rodrigo; Deco, Gustavo; Tauste Campo, Adrià (Elsevier, 2020)

  The spatial mapping of localized events in brain activity critically depends on the correct identification of the pattern signatures associated with those events. For instance, in the context of epilepsy research, a number ...
• Human confidence judgments reflect reliability-based hierarchical integration of contextual information

  Schustek, Philipp; Hyafil, Alexandre; Moreno-Bote, Rubén (Nature Research, 2019)

  Our immediate observations must be supplemented with contextual information to resolve ambiguities. However, the context is often ambiguous too, and thus it should be inferred itself to guide behavior. Here, we introduce ...
• Disrupted brain structural connectivity in pediatric bipolar disorder with psychosis

  Fernandes, Henrique M.; Cabral, Joana; van Hartevelt, Tim J.; Lord, Louis-David; Gleesborg, Carsten; Møller, Arne; Deco, Gustavo; Whybro, Peter C.; Petrovic, Predrag; James, Anthony C.; Kringelbach, Morten L. (Nature Research, 2019)

  Bipolar disorder (BD) has been linked to disrupted structural and functional connectivity between prefrontal networks and limbic brain regions. Studies of patients with pediatric bipolar disorder (PBD) can help elucidate ...
• Discovery of key whole-brain transitions and dynamics during human wakefulness and non-REM sleep

  Stevner, Angus B.A.; Vidaurre, Diego; Cabral, Joana; Rapuano, Kristina M.; Nielsen, Søren Føns Vind; Tagliazucchi, Enzo; Laufs, Helmut; Vuust, Peter; Deco, Gustavo; Woolrich, Mark W.; van Someren, Eus; Kringelbach, Morten L. (Nature Research, 2019)

  The modern understanding of sleep is based on the classification of sleep into stages defined by their electroencephalography (EEG) signatures, but the underlying brain dynamics remain unclear. Here we aimed to move ...
• Characterizing the dynamical complexity underlying meditation

  Escrichs, Anira; Sanjuán, Ana; Atasoy, Selen; López-González, Ane; Garrido, César; Càmara, Estela; Deco, Gustavo (Frontiers, 2019)

  Over the past 2,500 years, contemplative traditions have explored the nature of the mind using meditation. More recently, neuroimaging research on meditation has revealed differences in brain function and structure in ...
• Detecting determinism with improved sensitivity in time series: rank-based nonlinear predictability score

  Naro, Daniel; Rummel, Christian; Schindler, Kaspar A.; Andrzejak, Ralph Gregor (American Physical Society, 2014)

  The rank-based nonlinear predictability score was recently introduced as a test for determinism in point processes. We here adapt this measure to time series sampled from time-continuous flows. We use noisy Lorenz signals ...
• Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: dependence on recording region and brain state

  Andrzejak, Ralph Gregor; Lehnertz, Klaus; Mormann, Florian; Rieke, Christoph; David, Peter; Elger, Christian E. (American Physical Society, 2001)

  We compare dynamical properties of brain electrical activity from different recording regions and from different physiological and pathological brain states. Using the nonlinear prediction error and an estimate of ...
• Measuring nonstationarity by analyzing the loss of recurrence in dynamical systems

  Rieke, Christoph; Sternickel, Karsten; Andrzejak, Ralph Gregor; Elger, Christian E.; David, Peter; Lehnertz, Klaus (American Physical Society, 2002)

  We propose a measure for nonstationarity which is based on the analysis of distributions of temporal distances of neighboring vectors in state space. As an extension of previous techniques our method does not require a ...
• Testing the null hypothesis of the nonexistence of a preseizure state

  Andrzejak, Ralph Gregor; Mormann, Florian; Kreuz, Thomas; Rieke, Christoph; Kraskov, Alexander; Elger, Christian E.; Lehnertz, Klaus (American Physical Society, 2003)

  A rapidly growing number of studies deals with the prediction of epileptic seizures. For this purpose, various techniques derived from linear and nonlinear time series analysis have been applied to the electroencephalogram of ...
• Bivariate surrogate techniques: necessity, strengths, and caveats

  Andrzejak, Ralph Gregor; Kraskov, Alexander; Stögbauer, Harald; Mormann, Florian; Kreuz, Thomas (American Physical Society, 2003)

  The concept of surrogates allows testing results from time series analysis against specified null hypotheses. In application to bivariate model dynamics we here compare different types of surrogates, each designed to ...
• Automated detection of a preseizure state based on a decrease in synchronization in intracranial electroencephalogram recordings from epilepsy patients

  Mormann, Florian; Andrzejak, Ralph Gregor; Kreuz, Thomas; Rieke, Christoph; David, Peter; Elger, Christian E.; Lehnertz, Klaus (American Physical Society, 2003)

  The question whether information extracted from the electroencephalogram ~EEG! of epilepsy patients can be used for the prediction of seizures has recently attracted much attention. Several studies have reported evidence ...

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