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Many brain-computer interfaces make use of brain signals that are elicited in response to a visual, auditory or tactile stimulus, so-called event-related potentials (ERPs).
Stationarity of the human electroencephalogram
Cohen, B. A. and Sances, A · 1977
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Talking off the top of your head: toward a mental prosthesis utilizing event-related brain potentials
Farwell, L. A. and Donchin, E · 1988
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Analyzing and visualizing single-trial event-related potentials
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The importance of the normality assumption in large public health data sets
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A well-conditioned estimator for large-dimensional covariance matrices
Ledoit, O. and Wolf, M · 2004
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A case-study on naive labelling for the nearest mean and the linear discriminant classifiers
Kuncheva, L. I., Whitaker, C. J., and Narasimhamurthy, A · 2008
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Convolutional neural networks for P300 detection with application to brain-computer interfaces
Cecotti, H. and Graser, A · 2010
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Single-trial analysis and classification of ERP components—a tutorial
Blankertz, B., Lemm, S., Treder, M., Haufe, S., and Müller, K.-R · 2011
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Flashing characters with famous faces improves ERP-based brain–computer interface performance
Kaufmann, T., Schulz, S., Grünzinger, C., and Kübler, A · 2011
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A Bayesian model for exploiting application constraints to enable unsupervised training of a P300-based BCI
Kindermans, P.-J., Verstraeten, D., and Schrauwen, B · 2012
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Electric and magnetic fields produced by the brain
Nunez, P. L · 2012
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Brain-computer interfaces: principles and practice
Wolpaw, J. and Wolpaw, E. W · 2012
Cited alongside, same era.
A hybrid BCI system combining P300 and SSVEP and its application to wheelchair control
Li, Y., Pan, J., Wang, F., and Yu, Z · 2013
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Attention and P300-based BCI performance in people with amyotrophic lateral sclerosis
Riccio, A., Simione, L., Schettini, F., Pizzimenti, A., Inghilleri, M., Olivetti Belardinelli, M., Mattia, D., and Cincotti, F · 2013
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A plug&play P300 BCI using information geometry
Barachant, A. and Congedo, M · 2014
Cited alongside, same era.
Towards efficient auditory BCI through optimized paradigms and methods
Schreuder, E.-J. M · 2014
Cited alongside, same era.
Brain-controlled applications using dynamic P300 speller matrices
Unsupervised learning for brain-computer interfaces based on event-related potentials: Review and online comparison
Hübner, D., Verhoeven, T., Müller, K.-R., Kindermans, P.-J., and Tangermann, M · 2018
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A novel P300 BCI speller based on the triple RSVP paradigm
Lin, Z., Zhang, C., Zeng, Y., Tong, L., and Yan, B · 2018
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A review of classification algorithms for EEG-based brain–computer interfaces: a 10 year update
Lotte, F., Bougrain, L., Cichocki, A., Clerc, M., Congedo, M., Rakotomamonjy, A., and Yger, F · 2018
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EEG dataset and OpenBMI toolbox for three BCI paradigms: An investigation into BCI illiteracy
Lee, M.-H., Kwon, O.-Y., Kim, Y.-J., Kim, H.-K., Lee, Y.-E., Williamson, J., Fazli, S., and Lee, S.-W · 2019
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From Supervised to Unsupervised Machine Learning Methods for Brain-Computer Interfaces and Their Application in Language Rehabilitation
Hübner, D · 2020
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Halder, S., Pinegger, A., Käthner, I., Wriessnegger, S. C., Faller, J., Antunes, J. B. P., Müller-Putz, G. R., and Kübler, A · 2015
Cited alongside, same era.
Transfer learning in brain-computer interfaces
Jayaram, V., Alamgir, M., Altun, Y., Scholkopf, B., and Grosse-Wentrup, M · 2016
Cited alongside, same era.
Application of P300 event-related potential in brain-computer interface
Haider, A. and Fazel-Rezai, R · 2017
Cited alongside, same era.
Learning from label proportions in brain-computer interfaces: online unsupervised learning with guarantees
Hübner, D., Verhoeven, T., Schmid, K., Müller, K.-R., Tangermann, M., and Kindermans, P.-J · 2017
Cited alongside, same era.
Improving zero-training brain-computer interfaces by mixing model estimators
Verhoeven, T., Hübner, D., Tangermann, M., Müller, K.-R., Dambre, J., and Kindermans, P.-J · 2017
Cited alongside, same era.
BCI for stroke rehabilitation: motor and beyond
Mane, R., Chouhan, T., and Guan, C · 2020
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A superfast Toeplitz matrix inversion method for single-and multi-channel inverse filters and its application to room equalization
Poletti, M. A. and Teal, P. D · 2021
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A visual brain-computer interface as communication aid for patients with amyotrophic lateral sclerosis
Verbaarschot, C., Tump, D., Lutu, A., Borhanazad, M., Thielen, J., van den Broek, P., Farquhar, J., Weikamp, J., Raaphorst, J., Groothuis, J. T., et al · 2021
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Aphasia recovery by language training using a brain-computer interface – a proof-of-concept study
Musso, M., Hübner, D., Schwarzkopf, S., Bernodusson, M., LeVan, P., Weiller, C., and Tangermann, M · 2022
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Introducing block-Toeplitz covariance matrices to remaster linear discriminant analysis for event-related potential brain-computer interfaces
Sosulski, J. and Tangermann, M · 2022
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