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Research article summary (published 20 Jul 2009):

The brain-computer interface cycle.

Full Abstract

Brain-computer interfaces (BCIs) have attracted much attention recently, triggered by new scientific progress in understanding brain function and by impressive applications. The aim of this review is to give an overview of the various steps in the BCI cycle, i.e., the loop from the measurement of brain activity, classification of data, feedback to the subject and the effect of feedback on brain activity. In this article we will review the critical steps of the BCI cycle, the present issues and state-of-the-art results. Moreover, we will develop a vision on how recently obtained results may contribute to new insights in neurocognition and, in particular, in the neural representation of perceived stimuli, intended actions and emotions. Now is the right time to explore what can be gained by embracing real-time, online BCI and by adding it to the set of experimental tools already available to the cognitive neuroscientist. We close by pointing out some unresolved issues and present our view on how BCI could become an important new tool for probing human cognition.

 

Author information

Author/s: van Gerven, Marcel (M); Farquhar, Jason (J); Schaefer, Rebecca (R); Vlek, Rutger (R); Geuze, Jeroen (J); Nijholt, Anton (A); Ramsey, Nick (N); Haselager, Pim (P); Vuurpijl, Louis (L); Gielen, Stan (S); Desain, Peter (P);

Affiliation: Institute for Computing and Information Sciences, Radboud University Nijmegen, Nijmegen, The Netherlands.

Journal and publication information

Publication Type: Journal Article; Research Support, Non-U.S. Gov't; Review

Journal: Journal of neural engineering (J Neural Eng), published in England. (Language: eng)

Reference: 2009-Aug; vol 6 (issue 4) : pp 041001

Dates: Created 2009/07/22; Completed 2009/10/06;

PMID: 19622847, status: MEDLINE (last retrieval date: 10/6/2009, IMS Date: )

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

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