94 citations · 885 across the 28 of their papers we have counts for
30 papers
20 years of ordinal patterns: Perspectives and challenges
Inmaculada Leyva, Johann Martinez, Cristina Masoller +2
In 2002, in a seminal article, Christoph Bandt and Bernd Pompe proposed a new methodology for the analysis of complex time series, now known as Ordinal Analysis. The ordinal method…
Permutation Jensen-Shannon distance: A versatile and fast symbolic tool for complex time series analysis
Luciano Zunino, Felipe Olivares, Haroldo V. Ribeiro +1
The main motivation of this paper is to introduce the permutation Jensen-Shannon distance, a symbolic tool able to quantify the degree of similarity between two arbitrary time seri…
A symbolic information approach to characterize response-related differences in cortical activity during a Go/No-Go task
Helena B. Lucas, Steven L. Bressler, Fernanda S. Matias +1
How the brain processes information from external stimuli in order to perceive the world and act on it is one of the greatest questions in neuroscience. To address this question di…
Statistical complexity is maximized close to criticality in cortical dynamics
Nastaran Lotfi, Thaís Feliciano, Leandro A. A. Aguiar +6
Complex systems are typically characterized as an intermediate situation between a complete regular structure and a random system. Brain signals can be studied as a striking exampl…
Leveraging the Self-Transition Probability of Ordinal Pattern Transition Graph for Transportation Mode Classification
I. Cardoso-Pereira, J. B. Borges, P. H. Barros +3
The analysis of GPS trajectories is a well-studied problem in Urban Computing and has been used to track people. Analyzing people mobility and identifying the transportation mode u…
Dynamics in cortical activity revealed by resting-state MEG rhythms
J. Mendoza-Ruiz, C. E. Alonso-Malaver, M. Valderrama +2
The brain may be thought of as a many-body architecture with a spatio-temporal dynamics described by neuronal structures. The oscillatory nature of brain activity allows these stru…