Brainloop

4. BCI - Brain–computer interfaces
	4.1. Definition and features of a BCI

A BCI is a communication system in which messages or commands that an individual sends to the external world do not pass through the brain’s normal output pathways of peripheral nerves and muscles. For example, in an EEG based BCI the messages are encoded in EEG activity.
BCIs fall into two classes: dependent and independent.

4. BCI - Intro
	4.1. Definition and features of a BCI   4.1.1. Dependent and independent BCIs 4.1.2. BCI use is a skill 4.1.3. The parts of a BCI   4.1.3.1. Signal acquisition 4.1.3.2. Signal processing: feature extraction 4.1.3.3. Signal processing: the translation algorithm 4.1.3.4. The output device 4.1.3.5. The operating protocol 4.2. Present-day BCIs   4.2.1. Visual evoked potentials 4.2.2. Slow cortical potentials 4.2.3. P300 evoked potentials 4.2.4. Mu and beta rhythms   4.2.4.1. The Wadsworth BCI 4.2.4.2. The Graz BCI 4.2.5. Cortical neuronal action potentials 4.3. The future of BCI-based communication

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Source: Brain–computer interfaces for communication and control, Clinical Neurophysiology 113 (2002) 767–791, Jonathan R. Wolpaw, Niels Birbaumer, Dennis J. McFarland, Gert Pfurtscheller, Theresa M. Vaughan