Temporal characteristics of neural signals are often overlooked in traditional fMRI
developmental studies but are critical to studying brain functions in ecologically valid …

Quantifying the complex/multifractal organization of the brain signals is crucial to fully
understanding the brain processes and structure. In this contribution, we performed the …

This study explores the efficacy of various EEG complexity measures in detecting mind
wandering during video-based learning. Employing a modified probe-caught method, we …

The quantification of mental fatigue (MF) in aviation remains a long-lasting problem which
has a bearing on flight safety. In this study, we have developed a complexity-based MF …

In the analysis of electroencephalography (EEG), entropy can be used to quantify the rate of
generation of new information. Entropy has long been known to suffer from variance that …

Temporal variability is a fundamental property of brain processes and is functionally
important to human cognition. This study examined how fluctuations in neural oscillatory …

This study proposes a wavelet leaders method with multiscale entropy measures to analyze
multiscale complexities in electrocardiogram (ECG) signals to characterize arrhythmia …

Mind-wandering, or shifts in attention from task-related to task-unrelated thoughts, occupies
up to 50% of our waking hours and impacts neural and behavioural functioning. Mind …

La actividad electroencefalográfica (EEG) espontánea es aquella que se produce de forma
natural en ausencia de estímulos específicos. El registro de la actividad EEG en estado de …

La actividad electroencefalográfica (EEG) espontánea es generada por el cerebro de forma
natural en ausencia de estímulos específicos. El registro de la actividad EEG en estado de …