Although promising from numerous applications, current brain-computer interfaces (BCIs)
still suffer from a number of limitations. In particular, they are sensitive to noise, outliers and …

Neural oscillations are ubiquitous across recording methodologies and species, broadly
associated with cognitive tasks, and amenable to computational modelling that investigates …

Brain oscillations are increasingly the subject of electrophysiological studies probing their
role in the functioning and dysfunction of the human brain. In recent years this research area …

Brain signals measured over a series of experiments have inherent variability because of
different physical and mental conditions among multiple subjects and sessions. Such …

Background Common spatial pattern (CSP) is most widely used in motor imagery based
brain-computer interface (BCI) systems. In conventional CSP algorithm, pairs of the …

Background Automatic sleep stage classification is essential for long-term sleep monitoring.
Wearable devices show more advantages than polysomnography for home use. In this …

Task-based fMRI (tfMRI) has been widely used to explore functional brain networks via
predefined stimulus paradigm in the fMRI scan. Traditionally, the general linear model …

Frequency-specific patterns of neural activity are traditionally interpreted as sustained
rhythmic oscillations, and related to cognitive mechanisms such as attention, high level …

Neural time-series data contain a wide variety of prototypical signal waveforms (atoms) that
are of significant importance in clinical and cognitive research. One of the goals for …

Abstract Mild Cognitive Impairment (MCI) is an intermediate stage of memory decline
between normal aging and Alzheimer's disease or other types of dementia. MCI diagnosis is …