The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Linear and nonlinear methods for brain-computer interfaces
Abstract
At the recent Second International Meeting on Brain-Computer Interfaces (BCIs) held in June 2002 in Rensselaerville, NY, a formal debate was held on the pros and cons of linear and nonlinear methods in BCI research. Specific examples applying EEG data sets to linear and nonlinear methods are given and an overview of the various pros and cons of each approach is summarized. Overall, it was agreed that simplicity is generally best and, therefore, the use of linear methods is recommended wherever possible. It was also agreed that nonlinear methods in some applications can provide better results, particularly with complex and/or other very large data sets.
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Citations
Cites
The Nature of Statistical Learning Theory
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(2012) · Lecture Notes in Computer Science · doi:10.1007/978-3-642-35289-8 · Cited by 2,116
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Cited by
Brain Computer Interfaces, a Review
Nicolas-Alonso, L. F., & Gomez-Gil, J. (2012) · Sensors · doi:10.3390/s120201211 · Cited by 2,143
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
Brain–computer interfaces in neurological rehabilitation
Daly, J. J., & Wolpaw, J. R. (2008) · The Lancet Neurology · doi:10.1016/s1474-4422(08)70223-0 · Cited by 1,149
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
Self-citationBashashati, 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
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Metadata
- Authors
- Muller, K.-R., Anderson, C. W., & Birch, G. E.
- Venue
- IEEE Transactions on Neural Systems and Rehabilitation Engineering
- Published
- 2003-06
- Volume
- 11
- Issue
- 2
- Pages
- 165-169
- ISSN
- 1534-4320 (ISSN-L)
- 1558-0210
- OpenAlex
- W2125992711
- Cited by
- 360
- References
- 3
- FWCI
- 5.50
- Type
- journal article
- Language
- en
- Open access
- closed
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- Muller, K.-R., Anderson, C. W., & Birch, G. E. (2003). Linear and nonlinear methods for brain-computer interfaces. IEEE Transactions on Neural Systems and Rehabilitation Engineering. https://doi.org/10.1109/tnsre.2003.814484
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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