Brainwaves, which reflect brain electrical activity and have been studied for a long time in
the domain of cognitive neuroscience, have recently been proposed as a promising …

Functional connectivity and effective connectivity of the human brain, representing statistical
dependence and directed information flow between cortical regions, significantly contribute …

Electroencephalography (EEG) is another method for performing person identification (PI).
Due to the nature of the EEG signals, EEG-based PI is typically done while a person is …

Large, openly available datasets and current analytic tools promise the emergence of
population neuroscience. The considerable diversity in personality traits and behaviour …

Highly secure access control requires Swiss-cheese-type multi-layer security protocols. The
use of electroencephalogram (EEG) to provide cognitive indicators for human workload and …

Research on brain biometrics using electroencephalographic (EEG) signals has received
increasing attentions in recent years. In particular, it has been recognized that the brain …

Electroencephalography (EEG) is one of the most promising methods in the field of Brain-
Computer Interfaces (BCIs) due to its rich time-domain resolution and the availability of …

The vast majority of existing work on brain biometrics has been conducted on the ongoing
electroencephalogram. Here, we argue that the averaged event-related potential (ERP) may …

The human brain continually generates electrical potentials representing neural
communication. These potentials can be measured at the scalp, and constitute the …

Major depressive disorder (MDD) is a global healthcare issue and one of the leading causes
of disability. Machine learning combined with non-invasive electroencephalography (EEG) …