One of the most important aspects of time series is their degree of stochasticity vs. chaoticity.
Since the discovery of chaotic maps, many algorithms have been proposed to discriminate …

This paper examines the populational impact of the COVID-19 vaccinations for Brazil.
Therefore, our analysis takes into account the time series of the daily number of deaths …

Introduction Sleep is fundamental for cognitive homeostasis, especially in senior
populations since clearance of amyloid beta (key in the pathophysiology of Alzheimer's …

Neuronal interactions give rise to complex dynamics in cortical networks, often described in
terms of the diversity of activity patterns observed in a neural signal. Interestingly, the …

Recently, the sleep-wake states have been analysed using novel complexity measures,
complementing the classical analysis of EEGs by frequency bands. This new approach …

We investigated the influence of the construction of cascade dams and reservoirs on the
predictability and complexity of the streamflow of the São Francisco River, Brazil, by using …

We use ordinal analysis and spatial permutation entropy to distinguish between eyes-open
and eyes-closed resting brain states. To do so, we analyze EEG data recorded with 64 …

In this paper, we investigated the coupling among the alterations of brain activity and the
rhythmic pattern of voice. We benefited from complexity and information concepts and ran …

Developing reliable methodologies to decode brain state information from
electroencephalogram (EEG) signals is an open challenge, crucial to implementing EEG …

In quantifying the complexity characteristics of neurophysiological signals, the most
advanced entropy methods still have some inevitable limitations of poor accuracy …