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pro vyhledávání: '"MATO, GERMÁN"'
Ensembles of phase-oscillators are known to exhibit a variety of collective regimes. Here, we show that a simple mean-field model involving two heterogenous populations of pulse-coupled oscillators, exhibits, in the strong-coupling limit, a robust ir
Externí odkaz:
http://arxiv.org/abs/2407.08453
Autor:
Curiale, Ariel H., Calandrelli, MatÍas E., Dellazoppa, Lucca, Trevisan, Mariano, BociÁn, Jorge Luis, Bonifacio, Juan Pablo, Mato, GermÁn
Background: Artificial intelligence techniques have shown great potential in cardiology, especially in quantifying cardiac biventricular function, volume, mass, and ejection fraction (EF). However, its use in clinical practice is not straightforward
Externí odkaz:
http://arxiv.org/abs/2206.01746
Autor:
Curiale, Ariel. H., Cabrera, Facundo, Jimenez, Pablo, Medus, Jorgelina, Mato, GermÁn, Calandrelli, MatÍas E.
Background: Artificial intelligence techniques have demonstrated great potential in cardiology, especially to detect imperceptible patterns for the human eye. In this sense, these techniques seem to be adequate to identify patterns in the myocardial
Externí odkaz:
http://arxiv.org/abs/2206.01745
Objective: This paper proposes a novel approach for automatic left ventricle (LV) quantification using convolutional neural networks (CNN). Methods: The general framework consists of one CNN for detecting the LV, and another for tissue classification
Externí odkaz:
http://arxiv.org/abs/1812.06061
Cardiac function is of paramount importance for both prognosis and treatment of different pathologies such as mitral regurgitation, ischemia, dyssynchrony and myocarditis. Cardiac behavior is determined by structural and functional features. In both
Externí odkaz:
http://arxiv.org/abs/1708.07452
The present work analyses a particular scenario of consensus formation, where the individuals navigate across an underlying network defining the topology of the walks. The consensus, associated to a given opinion coded as a simple messages, is genera
Externí odkaz:
http://arxiv.org/abs/1706.04914
Autor:
Dellavale, Damián, Urdapilleta, Eugenio, Cámpora, Nuria, Velarde, Osvaldo Matías, Kochen, Silvia, Mato, Germán
Publikováno v:
In Clinical Neurophysiology August 2020 131(8):1866-1885
Akademický článek
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Several studies have shown that bursting neurons can encode information in the number of spikes per burst: As the stimulus varies, so does the length of individual bursts. The represented stimuli, however, vary substantially among different sensory m
Externí odkaz:
http://arxiv.org/abs/1303.5111
Publikováno v:
In NeuroImage 15 November 2019 202