4 papers
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…
Experimental characterization of the transition to coherence collapse in a semiconductor laser with optical feedback
M. Panozzo, C. Quintero-Quiroz, J. Tiana-Alsina +2
Semiconductor lasers with time-delayed optical feedback display a wide range of dynamical regimes, which have found various practical applications. They also provide excellent test…