Learning to control brain activity: a review of the production and control of EEG components for driving brain-computer interface (BCI) systems


Curran, E.A. and Stokes, M.J. (2003) Learning to control brain activity: a review of the production and control of EEG components for driving brain-computer interface (BCI) systems. Brain & Cognition, 51, (3), 326-336. (doi:10.1016/S0278-2626(03)00036-8).

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Description/Abstract

Brain–computer interface (BCI) technology relies on the ability of individuals to voluntarily and reliably produce changes in their electroencephalographic (EEG) activity. The present paper reviews research on cognitive tasks and other methods of generating and controlling specific changes in EEG activity that can be used to drive BCI systems. To date, motor imagery has been the most commonly used task. This paper explores the possibility that other cognitive tasks, including those used in imaging studies, may prove to be more effective. Other factors which influence performance are also considered in relation to selection of tasks, as well as training of subjects.

Item Type: Article
ISSNs: 0278-2626 (print)
Related URLs:
Subjects: T Technology > T Technology (General)
R Medicine > RZ Other systems of medicine
B Philosophy. Psychology. Religion > BF Psychology
Divisions: University Structure - Pre August 2011 > Superseded (SOHPRS)
ePrint ID: 55254
Date Deposited: 30 Jul 2008
Last Modified: 27 Mar 2014 18:38
Contact Email Address: m.stokes@soton.ac.uk
URI: http://eprints.soton.ac.uk/id/eprint/55254

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