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Learning to Control Brain Activity: a Review of the Production and Control of EEG Components for Driving Brain-computer interface (BCI) systems

Curran, Eleanor (2003) Learning to Control Brain Activity: a Review of the Production and Control of EEG Components for Driving Brain-computer interface (BCI) systems. Brain and Cognition, 51 . pp. 326-336. ISSN 0278-2626. (doi:0.1016/S0278-2626(03)00036-8) (The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided) (KAR id:1748)

The full text of this publication is not currently available from this repository. You may be able to access a copy if URLs are provided. (Contact us about this Publication)
Official URL
http://dx.doi.org/0.1016/S0278-2626(03)00036-8

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
DOI/Identification number: 0.1016/S0278-2626(03)00036-8
Uncontrolled keywords: Brain–computer interface (BCI), Cognitive tasks, Electroencephalography (EEG), Driving BCI systems, BCI subject training
Subjects: K Law
Divisions: Divisions > Division for the Study of Law, Society and Social Justice > Kent Law School
Depositing User: A. Davies
Date Deposited: 19 Dec 2007 19:12 UTC
Last Modified: 16 Feb 2021 12:14 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/1748 (The current URI for this page, for reference purposes)
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