Cristina Masoller

Identifying and characterizing noise-induced avalanches and extreme events in spiking networks

B. R. R. Boaretto, Elbert E. N. Macau, Cristina Masoller

Neuronal avalanches are cascades of spiking activity that display scale-invariant statistics near critical transitions and are widely regarded as indicators of criticality in brain dynamics. Avalanches encompass a broad variability of firing patterns, including extreme events in which a large proportion of …

Identification of the optimal approach for defining meaningful lag times in cardiac multivariate datasets

Cristina Masoller, Consuelo Rojas Navarrete

This milestone is a decision. After testing several approaches for feature extraction using synthetic time series, we decided to employ the feature extraction algorithm Catch22 [1] to try to identify precursors of critical cardiac states in ECG signals publicly available [2]. The …

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Identification of the optimal approach for defining meaningful lag times in cardiac multivariate datasets

Cristina Masoller, Consuelo Rojas Navarrete

This milestone is a decision. After testing several approaches for feature extraction using synthetic time series, we decided to employ the feature extraction algorithm Catch22 [1] to try to identify precursors of critical cardiac states in ECG signals publicly available [2]. The …

es (code pays fourni par la source)

Exploring the robustness of permutation entropy analysis to differentiate between closed-eyes and open-eyes resting states

Juan Gancio, Natalia López López, Antonio J. Pons, Giulio Tirabassi et autres

Electroencephalography (EEG) is a noninvasive technology that is widely used to monitor brain states, and many efforts are focused on developing reliable and efficient data analysis methods for EEG recordings. Here, we apply ordinal analysis to the EEG recording of the resting …

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Detecting transitions and quantifying differences in two SST datasets using spatial permutation entropy

Juan Gancio, Giulio Tirabassi, Cristina Masoller, Marcelo Barreiro

Abstract. Weather prediction systems rely on the vast amounts of data continuously generated by Earth modeling and monitoring systems, and efficient data analysis techniques are needed to track changes and compare datasets. Here we show that a nonlinear quantifier, the spatial permutation …

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Detecting transitions and quantifying differences in two SST datasets using spatial permutation entropy

Juan Gancio Vázquez, Giulio Tirabassi, Cristina Masoller, Marcelo Barreiro

Weather prediction systems rely on the vast amounts of data continuously generated by Earth modeling and monitoring systems, and efficient data analysis techniques are needed to track changes and compare datasets. Here we show that a nonlinear quantifier, the spatial permutation entropy …

Coherence characterization of multimode VCSELs via speckle contrast under optical feedback and bias variation

Sergi Torres, Jordi Tiana-Alsina, Cristina Masoller, Yanhua Hong

Optical feedback effects on the nonlinear dynamics of Vertical-Cavity SurfaceEmitting Lasers (VCSELs) have been extensively investigated; however, the effects of feedback on the spatial coherence properties of VCSEL emission have received less attention. In this work, we carry out an experimental quantitative …

Coherence characterization of multimode VCSELs via speckle contrast under optical feedback and bias variation

Sergi Torres, Jordi Tiana-Alsina, Cristina Masoller, Yanhua Hong

Optical feedback effects on the nonlinear dynamics of Vertical-Cavity SurfaceEmitting Lasers (VCSELs) have been extensively investigated; however, the effects of feedback on the spatial coherence properties of VCSEL emission have received less attention. In this work, we carry out an experimental quantitative …

Comparison of the performance of features based on symbolic dynamics and recurrence microstates for time series classification

H. C. Costa, J. V. M. Silveira, B. R. R. Boaretto, Cristina Masoller et autres

Symbolization is a well-established tool to transform a time series into a sequence of symbols. Here, we compare two symbolization approaches: recurrence microstate (RM), based on recurrence patterns in phase space, and symbolic dynamics (SD), derived from ordinal binary sequences. Specifically, we …

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Coherence characterization of multimode VCSELs via speckle contrast under optical feedback and bias variation

Sergi Torres Serra, Jordi Tiana-Alsina, Cristina Masoller, Yanhua Hong

Optical feedback effects on the nonlinear dynamics of vertical-cavity surface-emitting lasers (VCSELs) have been extensively investigated; however, the effects of feedback on the spatial coherence properties of VCSEL emission have received less attention. In this work, we carry out an experimental quantitative …

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Characterizing how order gives way to spatiotemporal chaos in two-dimensional pattern-forming systems

Eduardo A. Droguett-Mora, Cristina Masoller, Marcel G. Clerc

Systems with energy injection and dissipation are characterized by self-organization through spontaneous breaking of translational symmetry, giving rise to the formation of patterns. Depending on the energy injection, patterns can be regular in space and stationary, or exhibit irregular spatial distributions and …

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Unveiling synchronization transitions in networks of coupled oscillators through persistent homology of local structures

Álvaro Zabaleta-Ortega, Cristina Masoller, Lev Guzmán-Vargas

Synchronization phenomenon characterize the collective behavior of complex systems. In recent years, data-driven approaches have become relevant because they can identify and quantify synchronized activity. Here, we study networks of mutually coupled Kuramoto phase oscillators adopting the normalized persistent entropy, NPE, based …

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