Due to the volume conduction multichannel electroencephalogram (EEG) recordings give a
rather blurred image of brain activity. Therefore spatial filters are extremely useful in single …

Analyzing brain states that correspond to event related potentials (ERPs) on a single trial
basis is a hard problem due to the high trial-to-trial variability and the unfavorable ratio …

A Brain–Computer Interface (BCI) provides a novel non-muscular communication method
via brain signals. A BCI-speller can be considered as one of the first published BCI …

Machine learning methods are an excellent choice for compensating the high variability in
EEG when analyzing single-trial data in real-time. This paper briefly reviews preprocessing …

Brain–computer interfacing (BCI) is a steadily growing area of research. While initially BCI
research was focused on applications for paralyzed patients, increasingly more alternative …

The defeat of the central motor neuron leads to the motor disorders. Patients lose the ability
to control voluntary muscles, for example, of the upper limbs, which introduces a …

Background In a visual oddball paradigm, attention to an event usually modulates the event-
related potential (ERP). An ERP-based brain-computer interface (BCI) exploits this neural …

The Berlin brain-computer interface (BBCI) project develops a noninvasive BCI system
whose key features are: 1) the use of well-established motor competences as control …

How can we connect two brains to a video game by means of a brain-computer interface
(BCI), and what will happen when we do so? How will the two users behave, and how will …

A brain-computer interface (BCI), which provides an advanced direct human-machine
interaction, has gained substantial research interest in the last decade for its great potential …