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Cited by 327

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Towards an independent brain–computer interface using steady state visual evoked potentials

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Allison, Brendan Z., McFarland, Dennis J., Schalk, Gerwin, Zheng, Shi Dong, Jackson, Melody Moore, Wolpaw, Jonathan R.·2008·Clinical Neurophysiology
DOI 10.1016/j.clinph.2007.09.121
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Research works printed but not linked: 41

  1. Allison, 2003, ERPs evoked by different matrix sizes: implications for a brain computer interface (BCI) system, IEEE Trans Neural Syst Rehabil Eng, 11, 110, 10.1109/TNSRE.2003.814448 · DOI · Paper page
  2. Allison, 2006, Effects of SOA and flash pattern manipulations on ERPs, performance, and preference: implications for a BCI system, Int J Psychophysiol, 59, 127, 10.1016/j.ijpsycho.2005.02.007 · DOI
  3. Allison, 2006, Sustained use of an SSVEP BCI under adverse conditions, J Cogn Neurosci Suppl, 129
  4. Allison BZ, Wolpaw EW, Wolpaw JR. Brain computer interface systems: progress and prospects. In: Poll E, editors, Brit Rev Med Dev 2007;4(4):463–474. · DOI · Paper page
  5. Arakawa, 1999, The effect of spatial frequency on chromatic and achromatic steady-state visual evoked potentials, Clin Neurophysiol, 110, 1959, 10.1016/S1388-2457(99)00139-X · DOI
  6. Beverina, 2003, User adaptive BCIs: SSVEP and P300 based interfaces, Psychology, 1, 331
  7. Birbaumer, 2003, The thought-translation device (TTD): neurobehavioral mechanisms and clinical outcome, IEEE Trans Neural Syst Rehabil Eng, 11, 120, 10.1109/TNSRE.2003.814439 · DOI · Paper page
  8. Chen, 2003, The power of human brain magnetoencephalographic signals can be modulated up or down by changes in an attentive visual task, Proc Natl Acad Sci USA, 100, 3501, 10.1073/pnas.0337630100 · DOI
  9. Cheng, 2002, Design and implementation of a brain–computer interface with high transfer rates, IEEE Trans Biomed Eng, 49, 1181, 10.1109/TBME.2002.803536 · DOI · Paper page
  10. Donchin, 2000, The mental prosthesis: assessing the speed of a P300-based brain-computer interface, IEEE Trans Rehabil Eng, 8, 174, 10.1109/86.847808 · DOI · Paper page
  11. Gao, 2003, A BCI-based environmental controller for the motion-disabled, IEEE Trans Neural Syst Rehabil Eng, 11, 137, 10.1109/TNSRE.2003.814449 · DOI · Paper page
  12. Golla, 2005, Disturbed overt but normal covert shifts of attention in adult cerebellar patients, Brain, 128, 1525, 10.1093/brain/awh523 · DOI
  13. Goncharova, 2003, EMG contamination of EEG: spectral and topographical characteristics, Clin Neurophysiol, 114, 1580, 10.1016/S1388-2457(03)00093-2 · DOI · Paper page
  14. Jackson, 2006, Analyzing trends in brain interface technology: a method to compare studies, Ann Biomed Eng, 34, 859, 10.1007/s10439-005-9055-7 · DOI
  15. Kaper, 2004, BCI Competition 2003 – Data set IIb: support vector machines for the P300 speller paradigm, IEEE Trans Biomed Eng, 51, 1073, 10.1109/TBME.2004.826698 · DOI · Paper page
  16. Kelly, 2005, Visual spatial attention control in an independent brain–computer interface, IEEE Trans Biomed Eng, 52, 1588, 10.1109/TBME.2005.851510 · DOI · Paper page
  17. Kelly, 2005, Visual spatial attention tracking using high-density SSVEP data for independent brain–computer communication, IEEE Trans Neural Syst Rehabil Eng, 13, 172, 10.1109/TNSRE.2005.847369 · DOI · Paper page
  18. Kübler, 2005, Brain–computer interfaces – the key for the conscious brain locked into a paralyzed body. Boundaries of consciousness, Neurobiol Neuropathol, 513
  19. Kübler, 2001, Brain–computer communication: unlocking the locked in, Psychol Bull, 127, 358, 10.1037/0033-2909.127.3.358 · doi:10.1037/0033-2909.127.3.358 · Paper page
  20. Lalor, 2005, Steady-state VEP-based brain–computer interface control in an immersive 3D gaming environment, Eurasip J Appl Signal Process, 3156
  21. Mangun, 1998, Sustained visual–spatial attention produces costs and benefits in response time and evoked neural activity, Neuropsychologia, 36, 189, 10.1016/S0028-3932(97)00123-1 · DOI
  22. McFarland, 1997, Spatial filter selection for EEG-based communication, Electroencephalogr Clin Neurophysiol, 103, 186, 10.1016/S0013-4694(97)00022-2 · DOI · Paper page
  23. McFarland, 1998, EEG-based communication and control: short-term role of feedback, IEEE Trans Rehabil Eng, 6, 7, 10.1109/86.662615 · DOI
  24. McFarland, 2005, Brain–computer interface (BCI) operation: signal and noise during early training sessions, Clin Neurophysiol, 116, 56, 10.1016/j.clinph.2004.07.004 · DOI
  25. McFarland, 2006, Brain–computer interface signal processing at the Wadsworth Center: mu and sensorimotor rhythms, 411, 10.1016/S0079-6123(06)59026-0 · DOI
  26. Middendorf, 2000, Brain–computer interfaces based on the steady-state visual-evoked response, IEEE Trans Rehabil Eng, 8, 211, 10.1109/86.847819 · DOI · Paper page
  27. Moore M, Dua U. A galvanic skin response interface for people with severe motor disabilities. In: Proceedings of the ACM conference on assistive technology (ASSETS 2004), Atlanta; 2004. · doi:10.1145/1028630.1028640
  28. Mullen, 1985, The contrast sensitivity of human color vision to red-green and blue-yellow chromatic gratings, J Physiol, 359, 381, 10.1113/jphysiol.1985.sp015591 · DOI · Paper page
  29. Müller, 2000, Concurrent recording of steady-state and transient event-related potentials as indices of visual–spatial selective attention, Clin Neurophysiol, 111, 1544, 10.1016/S1388-2457(00)00371-0 · DOI · Paper page
  30. Müller, 1998, Effects of spatial selective attention on the steady-state visual evoked potential in the 20–28Hz range, Cogn Brain Res, 6, 249, 10.1016/S0926-6410(97)00036-0 · DOI · Paper page
  31. Müller, 2003, Sustained division of the attentional spotlight, Nature, 424, 309, 10.1038/nature01812 · DOI · Paper page
  32. Müller-Putz, 2005, Steady-state visual evoked potential (SSVEP)-based communication: impact of harmonic frequency components, J Neural Eng, 2, 123, 10.1088/1741-2560/2/4/008 · DOI · Paper page
  33. Neuper, 2005, Imagery of motor actions: differential effects of kinesthetic and visual-motor mode of imagery in single-trial EEG, Brain Res Cogn Brain Res, 25, 668, 10.1016/j.cogbrainres.2005.08.014 · DOI · Paper page
  34. Pastor, 2003, Human cerebral activation during steady-state visual-evoked responses, J Neurosci, 23, 11621, 10.1523/JNEUROSCI.23-37-11621.2003 · DOI · Paper page
  35. Schalk, 2004, BCI2000: a general-purpose brain–computer interface (BCI) system, IEEE Trans Biomed Eng, 51, 1034, 10.1109/TBME.2004.827072 · DOI · Paper page
  36. Sheikh, 2003, Electroencephalographic (EEG)-based communication: EEG control versus system performance in humans, Neurosci Lett, 345, 89, 10.1016/S0304-3940(03)00470-1 · DOI
  37. Sutter, 1992, The brain response interface: communication through visually-induced electrical brain responses, J Microcomput Appl, 15, 31, 10.1016/0745-7138(92)90045-7 · DOI · Paper page
  38. Trejo, 2006, Brain–computer interfaces for 1-D and 2-D cursor control: designs using volitional control of the EEG spectrum or steady-state visual evoked potentials, IEEE Trans Neural Syst Rehabil Eng, 14, 225, 10.1109/TNSRE.2006.875578 · DOI · Paper page
  39. Van Voorhis, 1977, Visual evoked potentials and selective attention to points in space, Percept Psychophys, 22, 54, 10.3758/BF03206080 · DOI · Paper page
  40. Wang Y, Zhang Z, Gao X, Gao S. Lead selection for SSVEP-based brain–computer interface. In: Proceedings of the 26th annual international conference of the IEEE EMBS; San Francisco; 2004.
  41. Wolpaw, 2004, Control of a two-dimensional movement signal by a noninvasive brain-computer interface in humans, Proc Natl Acad Sci USA, 101, 17849, 10.1073/pnas.0403504101 · DOI · Paper page

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Metadata

Authors
Allison, B. Z., McFarland, D. J., Schalk, G., Zheng, S. D., Jackson, M. M., & Wolpaw, J. R.
Venue
Clinical Neurophysiology
Publisher
Elsevier BV
Published
2008-02
Volume
119
Issue
2
Pages
399-408
ISSN
1388-2457 (ISSN-L)
DOI
10.1016/j.clinph.2007.09.121
OpenAlex
W2060004431
Cited by
327
References
2
FWCI
12.82
Type
journal article
Language
en
Open access
green
Licence
  • www.elsevier.com/tdm/userlicense/1.0/ (tdm)
  • www.elsevier.com/legal/tdmrep-license (tdm)

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CoChat. (2026). Citation check: Towards an independent brain–computer interface using steady state visual evoked potentials. https://app.cochat.ai/papers/10.1016/j.clinph.2007.09.121
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Allison, B. Z., McFarland, D. J., Schalk, G., Zheng, S. D., Jackson, M. M., & Wolpaw, J. R. (2008). Towards an independent brain–computer interface using steady state visual evoked potentials. Clinical Neurophysiology. https://doi.org/10.1016/j.clinph.2007.09.121

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.