activity
20152025
most citedParameter-free quantification of stochastic and chaotic signals

33 citations · 37 across the 7 of their papers we have counts for

collaborators

7 papers

nlin.CD2025★ 1 cited

Classifying Complex Dynamical and Stochastic Systems via Physics-Based Recurrence Features

J. V. M. Silveira, H. C. Costa, G. S. Spezzatto +2

In this study, we employ the recently developed recurrence microstate probabilities as features to improve accuracy of several well-established machine learning (ML) algorithms. Th…

physics.data-an2021★ 1 cited

Discriminating chaotic and stochastic time series using permutation entropy and artificial neural networks

B. R. R. Boaretto, R. C. Budzinski, K. L. Rossi +3

Extracting relevant properties of empirical signals generated by nonlinear, stochastic, and high-dimensional systems is a challenge of complex systems research. Open questions are…

physics.data-an2020★ 1 cited

Parameter free determination of optimum time delay

Thiago Lima Prado, Vandertone Santos Machado, Gilberto Corso +2

We show that the same maximum entropy principle applied to recurrence microstates configures a new way to properly compute the time delay necessary to correctly sample a data set.…

q-bio.NC2020

Synchronization malleability in neural networks under a distance-dependent coupling

R. C. Budzinski, K. L. Rossi, B. R. R. Boaretto +2

We investigate the synchronization features of a network of spiking neurons under a distance-dependent coupling following a power-law model. The interplay between topology and coup…

q-bio.NC2020★ 1 cited

Effects of neuronal variability on phase synchronization of neural networks

Kalel Luiz Rossi, Roberto Cesar Budzisnki, Joao Antonio Paludo Silveira +4

An important idea in neural information processing is the communication-through-coherence hypothesis, according to which communication between two brain regions is effective only i…

physics.data-an2019★ 33 cited

Parameter-free quantification of stochastic and chaotic signals

Sergio Roberto Lopes, Thiago de Lima Prado, Gilberto Corso +2

Recurrence entropy is a novel time series complexity quantifier based on recurrence microstates. Here we show that is a \textit{parameter-free} qu…

nlin.CD2015

A mechanism for stickness, dealing with extreme events

Taline Suellen Kruger, Paulo Paneque Galuzio, Thiago de Lima Prado +3

In this letter we study how hyperbolic and non hyperbolic regions in the neighborhood of a resonant island perform a important role allowing or forbidding stickiness phenomenon aro…