most citedDiscriminating chaotic and stochastic time series using permutation entropy and artificial neural networks

1 citations · 1 across the 1 of their papers we have counts for

collaborators

2 papers

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…

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…