Ara mostrant els elements 1-10 de 10

    A journey in representation learning textual emotion detection and structural graph encodings 

    Álvarez González, Francisco Nurudín (Data de defensa: 2024-03-20)

    Representation learning is the field of modern machine learning focused on automatically producing useful representations from data. This thesis studies the impact of data volumes, annotation perspectives, and structural ...

    Characterization of left atrial hemodynamics with 4D flow magnetic resonance imaging, in-silico models and deep learning 

    Morales Ferez, Xabier (Data de defensa: 2024-04-26)

    Although the left ventricle has traditionally held the spotlight as the primary determinant of cardiovascular disease prognosis, the characterization of left atrial hemodynamics is increasingly being recognized as a ...

    Computational analysis of fetal brain development with patient-specific modelling and deep learning techniques 

    Alenyà Sistané, Mireia (Data de defensa: 2024-02-19)

    This dissertation presents a novel computational pipeline for creating patient-specific models of brain development. Initially, the human brain develops from a smooth to a convoluted cortical surface, with abnormal ...

    Dynamics of message Interchange between stochastic Units in the contexts of human communication behaviour and spiking neurons 

    Kaltenbrunner, Andreas (Data de defensa: 2008-03-07)

    Esta tesis estudia dos diferentes dinámicas de intercambio de mensajes entre unidades estocásticas.<br/>Primero, analizamos un conjunto de neuronas estocásticas tipo integración - y - disparo con integración sin pérdidas, ...

    Endovascular coiling and its influence on intra-aneurysmal hemodynamics by image-based modeling 

    Morales, Hernán G. (Data de defensa: 2012-09-28)

    Nowadays, most popular therapies for cerebral aneurysms are clipping and coiling. Nonetheless, it is not easy to elucidate which therapeutic option is the most suitable and reliable for a patient-specific aneurysm. To face ...

    Exploring functional connectivity dynamics in brain disorders: a whole-brain computational framework for resting state fMRI signals 

    Demirtaş, Murat (Data de defensa: 2015-12-15)

    Brain activity, on every scale, spontaneously fluctuates, thereby exhibiting complex, dynamic interactions that manifest rich synchronization patterns. The past ten years have been dominated by studies intended to further ...

    Modelling neuronal mechanisms of the processing of tones and phonemes in the higher auditory system 

    Larsson, Johan P. (Data de defensa: 2012-11-15)

    S'ha investigat molt tant els mecanismes neuronals bàsics de l'audició com l'organització psicològica de la percepció de la parla. Tanmateix, en ambdós temes n'hi ha una relativa escassetat en quant a modelització. Aquí ...

    Neurodynamical modeling of arbitrary visuomotor tasks 

    Loh, Marco (Data de defensa: 2008-02-11)

    El aprendizaje visuomotor condicional es un paradigma en el que las asociaciones estímulo-respuesta se aprenden a través de una recompensa. Un experimento típico se desarrolla de la siguiente forma: cuando se presenta un ...

    Recovery of cerebrovascular morphodynamics from time-resolved rotational angiography 

    Zhang, Chong (Data de defensa: 2011-07-28)

    Over the last decade, there has been a growing interest in assessing cerebral aneurysmal wall motion, because of its potential connections to the biomechanical conditions of the vessel wall, which could eventually aid the ...

    The role of conflict in perception: case studies in binocular rivalry, cinema and flavour 

    Drew, Alice (Data de defensa: 2024-02-01)

    Our everyday perception of the world is remarkably unambiguous, considering that it stems from a multitude of ambiguous sensory signals. This feat is believed to be achieved by a set of perceptual and cognitive mechanisms ...