The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Learning to control brain activity: A review of the production and control of EEG components for driving brain–computer interface (BCI) systems
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.
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“Interestingly, users have reported reaching a state of proficiency through learning where BCI control becomes “automatic,” as they no longer need to engage explicitly in MI [23,40–42,50,60,61].”
From The Cybathlon BCI race: Successful longitudinal mutual learning with two tetraplegic users (2018) · cites this paper as [60]
Citations
Cites
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A spelling device for the paralysed
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An EEG-based brain-computer interface for cursor control
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The neurophysiological basis of motor imagery
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Direct control of a computer from the human central nervous system
Kennedy, P. R., Bakay, R. A. E., Moore, M. M., Adams, K. D., & Goldwaithe, J. (2000) · IEEE Transactions on Rehabilitation Engineering · doi:10.1109/86.847815 · Cited by 573
Monitoring Working Memory Load during Computer-Based Tasks with EEG Pattern Recognition Methods
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Current trends in Graz brain-computer interface (BCI) research
Pfurtscheller, G., Neuper, C., Guger, C., Harkam, W., Ramoser, H., Schlögl, A., Obermaier, B., & Pregenzer, M. (2000) · IEEE Transactions on Rehabilitation Engineering · doi:10.1109/86.847821 · Cited by 518
Brain-Computer Interface—a new communication device for handicapped persons
Pfurtscheller, G., Flotzinger, D., & Kalcher, J. (1993) · Journal of Microcomputer Applications · doi:10.1006/jmca.1993.1030 · Cited by 502
The thought translation device (TTD) for completely paralyzed patients
Birbaumer, N., Kubler, A., Ghanayim, N., Hinterberger, T., Perelmouter, J., Kaiser, J., Iversen, I., Kotchoubey, B., Neumann, N., & Flor, H. (2000) · IEEE Transactions on Rehabilitation Engineering · doi:10.1109/86.847812 · Cited by 493
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Single-trial analysis and classification of ERP components — A tutorial
Blankertz, B., Lemm, S., Treder, M., Haufe, S., & Müller, K.-R. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2010.06.048 · Cited by 1,138
Blankertz, B., Dornhege, G., Krauledat, M., Müller, K., & Curio, G. (2007) · NeuroImage · doi:10.1016/j.neuroimage.2007.01.051 · Cited by 941
The BCI competition III: validating alternative approaches to actual BCI problems
Blankertz, B., Muller, K.-R., Krusienski, D. J., Schalk, G., Wolpaw, J. R., Schlogl, A., Pfurtscheller, G., Millan, J. R., Schroder, M., & Birbaumer, N. (2006) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2006.875642 · Cited by 927
Neuper, C., Scherer, R., Reiner, M., & Pfurtscheller, G. (2005) · Cognitive Brain Research · doi:10.1016/j.cogbrainres.2005.08.014 · Cited by 744
Grootswagers, T., Wardle, S. G., & Carlson, T. A. (2016) · Journal of Cognitive Neuroscience · doi:10.1162/jocn_a_01068 · Cited by 712
Metadata
- Authors
- Curran, E.
- Affiliations
- Royal Hospital for Neuro-disability (GB)
- Corresponding author
- Curran, E
- Venue
- Brain and Cognition
- Publisher
- Elsevier BV
- Published
- 2003-04
- Volume
- 51
- Issue
- 3
- Pages
- 326-336
- ISSN
- 0278-2626 (ISSN-L)
- OpenAlex
- W2102757742
- Cited by
- 417
- References
- 36
- Citations by year
- 2026: 3 · 2025: 11 · 2024: 7 · 2023: 19 · 2022: 11 · 2021: 27 · 2020: 25 · 2019: 32 · 2018: 24 · 2017: 28 · 2016: 22 · 2015: 31 · 2014: 27 · 2013: 26 · 2012: 18
- FWCI
- 3.43
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Brain and Cognition (publishedVersion)
- PubMed (publishedVersion)
- ePrints Soton (University of Southampton) (submittedVersion)
- Kent Academic Repository (University of Kent) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › EEG and Brain-Computer Interfaces
- Physical Sciences › Computer Science › Human-Computer Interaction › Gaze Tracking and Assistive Technology
- Social Sciences › Arts and Humanities › Philosophy › Free Will and Agency
- Keywords
- brain-computer interface, EEG signal generation, motor imagery, cognitive tasks, task selection
- MeSH terms
- Brain, Electroencephalography, Humans, Learning, Magnetic Resonance Imaging, User-Computer Interface
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