The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Brain–computer interface (BCI) operation: optimizing information transfer rates
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Citations
Cites
Brain–computer interfaces for communication and control
Wolpaw, J. R., Birbaumer, N., McFarland, D. J., Pfurtscheller, G., & Vaughan, T. M. (2002) · Clinical Neurophysiology · doi:10.1016/s1388-2457(02)00057-3 · Cited by 7,927
Self-citationThe information capacity of the human motor system in controlling the amplitude of movement.
Fitts, P. M. (1954) · Journal of Experimental Psychology · doi:10.1037/h0055392 · Cited by 6,466
A spelling device for the paralysed
Birbaumer, N., Ghanayim, N., Hinterberger, T., Iversen, I., Kotchoubey, B., Kübler, A., Perelmouter, J., Taub, E., & Flor, H. (1999) · Nature · doi:10.1038/18581 · Cited by 1,577
Research works printed but not linked: 18
- Donchin, 2000, The mental prostheses: assessing the speed of a P300-based brain–computer interface, IEEE Transactions on Rehabilitation Engineering, 8, 164, 10.1109/86.847808 · DOI · Paper page
- Farwell, 1988, Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials, Electroencephalography and Clinical Neurophysiology, 70, 510, 10.1016/0013-4694(88)90149-6 · DOI · Paper page
- Goncharova, 2000, EEG-based brain–computer interface communication: scalp topography and frequency distribution of EMG contamination, Society for Neuroscience Abstracts, 25, 1229
- Kostov, 2000, Parallel man-machine training in development of EEG-based cursor control, IEEE Transactions on Rehabilitation Engineering, 8, 203, 10.1109/86.847816 · DOI
- McFarland, D.J., Wolpaw, J.R., EEG-based communication and control: Speed-accuracy relationships, Applied Psychophysiology and Biofeedback, in press.
- McFarland, 1993, An EEG-based method for graded cursor control, Psychobiology, 21, 77, 10.3758/BF03327130 · DOI
- McFarland, 1997, Design and operation of an EEG-based brain–computer interface (BCI) with digital signal processing technology, Behavioral Research Methods, Instruments and Computers, 29, 337, 10.3758/BF03200585 · DOI
- McFarland, 1997, Spatial filter selection for EEG-based communication, Electroencephalography and ClinicalNeurophysiology, 103, 386, 10.1016/S0013-4694(97)00022-2 · DOI · Paper page
- McFarland, 2000, Mu and beta rhythm topographies during motor imagery and actual movements, Brain Topography, 12, 177, 10.1023/A:1023437823106 · DOI · Paper page
- Mottet, 1994, Fitts’ law in two-dimensional space, Experimental Brain Research, 100, 144, 10.1007/BF00227286 · DOI
- Pfurtscheller, 1993, Brain–computer interface—a new communication device for handicapped persons, Journal of Microcomputer Applications, 16, 293, 10.1006/jmca.1993.1030 · DOI · Paper page
- Sharbrough, 1991, American Electroencephalographic Society guidelines for standard electrode position nomenclature, Journal of Clinical Neurophysiology, 8, 200, 10.1097/00004691-199104000-00007 · DOI · Paper page
- Sutter, 1992, The brain response interface: communication through visually guided electrical brain responses, Journal of Microcomputer Applications, 15, 31, 10.1016/0745-7138(92)90045-7 · DOI · Paper page
- Szeto, 1993, Comparison of speed and accuracy for selected electronic communication devices and input methods, Augmentative and Alternative Communication, 9, 229, 10.1080/07434619312331276651 · DOI
- Wolpaw, 1994, Multichannel EEG-based brain-computer communication, Electroencephalography and Clinical Neurophysiology, 90, 444, 10.1016/0013-4694(94)90135-X · DOI · Paper page
- Wolpaw, J.R., McFarland, D.J., Cacace, A.T., 1986. Preliminary studies for a direct brain-to-computer parallel interface. In: Projects for Persons with Disabilities, IBM Technical Symposium, 11–20.
- Wolpaw, 1991, An EEG-based brain–computer interface for cursor control, Electroencephalography and Clinical Neurophysiology, 78, 252, 10.1016/0013-4694(91)90040-B · DOI · Paper page
- Wolpaw, 2000, Brain–computer interface research at the Wadsworth Center, IEEE Transactions on Rehabilitation Engineering, 8, 222, 10.1109/86.847823 · DOI · Paper page
Cited by
Bashashati, A., Fatourechi, M., Ward, R. K., & Birch, G. E. (2007) · Journal of Neural Engineering · doi:10.1088/1741-2560/4/2/r03 · Cited by 907
LaFleur, K., Cassady, K., Doud, A., Shades, K., Rogin, E., & He, B. (2013) · Journal of Neural Engineering · doi:10.1088/1741-2560/10/4/046003 · Cited by 583
Townsend, G., LaPallo, B. K., Boulay, C. B., Krusienski, D. J., Frye, G. E., Hauser, C. K., Schwartz, N. E., Vaughan, T. M., Wolpaw, J. R., & Sellers, E. W. (2010) · Clinical Neurophysiology · doi:10.1016/j.clinph.2010.01.030 · Cited by 570
“Assuming that the participant attempts to correct all errors, the WSR can be determined from the number of bits transmitted per trial (B; McFarland et al., 2003).”
BackgroundSelf-citationKübler, A., & Birbaumer, N. (2008) · Clinical Neurophysiology · doi:10.1016/j.clinph.2008.06.019 · Cited by 441
BCI demographics: how many (and what kinds of) people can use an SSVEP BCI?
Allison, B., Luth, T., Valbuena, D., Teymourian, A., Volosyak, I., & Graser, A. (2010) · IEEE Transactions on Neural Systems and Rehabilitation Engineering · doi:10.1109/tnsre.2009.2039495 · Cited by 344
Metadata
- Authors
- McFarland, D. J., Sarnacki, W. A., & Wolpaw, J. R.
- Venue
- Biological Psychology
- Publisher
- Elsevier BV
- Published
- 2003-07
- Volume
- 63
- Issue
- 3
- Pages
- 237-251
- ISSN
- 0301-0511 (ISSN-L)
- OpenAlex
- W2083742331
- Cited by
- 247
- References
- 3
- FWCI
- 4.69
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
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- CoChat. (2026). Citation check: Brain–computer interface (BCI) operation: optimizing information transfer rates. https://app.cochat.ai/papers/10.1016/s0301-0511(03)00073-5
- The paper
- McFarland, D. J., Sarnacki, W. A., & Wolpaw, J. R. (2003). Brain–computer interface (BCI) operation: optimizing information transfer rates. Biological Psychology. https://doi.org/10.1016/s0301-0511(03)00073-5
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
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.
