Neuronal activity in the brain gives rise to transmembrane currents that can be measured in
the extracellular medium. Although the major contributor of the extracellular signal is the …

To understand dynamic cognitive processes, the high time resolution of EEG/MEG is
invaluable. EEG/MEG signals can play an important role in providing measures of functional …

Creativity is a complex construct that would benefit from a more comprehensive mechanistic
approach. Two processes have been defined to be central to creative cognition: divergent …

Alzheimer's disease (AD) is the most common neurodegenerative disease among the
elderly with a progressive decline in cognitive function significantly affecting quality of life …

Electroencephalogram (EEG) signal recorded during motor imagery (MI) has been widely
applied in non-invasive brain–computer interface (BCI) as a communication approach. In …

A brain-computer interface (BCI) is a hardware and software communications system that
permits cerebral activity alone to control computers or external devices. The immediate goal …

Recognition of a human's continuous emotional states in real time plays an important role in
machine emotional intelligence and human-machine interaction. Existing real-time emotion …

Brainstorm is a collaborative open‐source application dedicated to
magnetoencephalography (MEG) and electroencephalography (EEG) data visualization and …

Neurofeedback is attracting renewed interest as a method to self-regulate one's own brain
activity to directly alter the underlying neural mechanisms of cognition and behavior. It not …

The Common Spatial Pattern (CSP) algorithm is an effective and popular method for
classifying 2-class motor imagery electroencephalogram (EEG) data, but its effectiveness …