From the 1 of 6 linked papers with an AI index.
6 papers
Visibility graph-based characterization of extreme values in time series
Juliane T. Moraes, Lucas Lacasa, Cristina Masoller
Complex dynamical systems often display extreme fluctuations of an observed variable that constitute significant deviations from the long-term average, and which are often associat…
Phase synchronization dynamics of two mutually coupled InP lasers in a quantum entropy source
Berta MartÃnez-Pà mias, Miquel Rudé, Cristina Masoller
The paper investigates how residual coupling between two gain‑switched InP lasers in a photonic integrated circuit leads to phase synchronization, affecting the entropy of a quantu…
Identifying and anticipating the threshold bifurcation of a complex laser with permutation entropy
Juan Gancio, Cristina Masoller, Mathias Marconi
The permutation entropy (PE) is a statistical indicator that allows to quantify the complexity of a signal. Here we show that it is able to {identify and anticipate} the threshold…
Bubbling in Oscillator Networks
G. Tirabassi, R. de Palma Aristides, C. Masoller +1
A network of coupled time-varying systems, where individual nodes are interconnected through links, is a modeling framework widely used by many disciplines. For identical nodes dis…
Noise-induced Extreme Events in Hodgkin-Huxley Neural Networks
Bruno R. R. Boaretto, Elbert E. N. Macau, Cristina Masoller
Extreme events are rare, large-scale deviations from typical system behavior that can occur in nonlinear dynamical systems. In this study, we explore the emergence of extreme event…
Point process analysis of geographical diffusion of news in Argentina
Lucio L. Garcia, Giulio Tirabassi, Cristina Masoller +1
The diffusion of information plays a crucial role in a society, affecting its economy and the well-being of the population. Characterizing the diffusion process is challenging beca…