This research was funded by a Discovery grant from the Natural Sciences and Engineering Research Council of Canada (NSERC) to SB and an NSERC PGS scholarship to KD.
Allison, B. Z., & Neuper, C. (2010). Could anyone use a BCI? In B. Graimann, G. Pfurtscheller, & B. Allison (Eds.), Brain-Computer Interfaces (pp. 35–54). Berlin, Heidelberg: Springer Berlin Heidelberg. doi:10.1007/978-3-642-02091-9
Ang, K. K., Chin, Z. Y., Zhang, H., & Guan, C. (2008). Filter Bank Common Spatial Pattern (FBCSP) in Brain-Computer Interface. 2008 IEEE International Joint Conference on Neural Networks (IEEE World Congress on Computational Intelligence), 2391–2398. doi:10.1109/IJCNN.2008.4634130
Bobrov, P., Frolov, A., Cantor, C., Fedulova, I., Bakhnyan, M., & Zhavoronkov, A. (2011). Brain-computer interface based on generation of visual images. PloS One, 6(6), e20674. doi:10.1371/journal.pone.0020674
Cabrera, A. F., & Dremstrup, K. (2008). Auditory and spatial navigation imagery in Brain-Computer Interface using optimized wavelets. Journal of Neuroscience Methods, 174(1), 135–146. doi:10.1016/j.jneumeth.2008.06.026
Chang, C.C. and Lin, C.J. LIBSVM: a library for support vector machines, 2001 Software available at http://www.csie.ntu.edu.tw/˜cjlin/libsvm
Hammer, E. M., Halder, S., Blankertz, B., Sannelli, C., Dickhaus, T., Kleih, S., Kübler, A. (2012). Psychological predictors of SMR-BCI performance. Biological Psychology, 89(1), 80–86. doi:10.1016/j.biopsycho.2011.09.006
Lotte, F., Larrue, F., & Mühl, C. (2013). Flaws in current human training protocols for spontaneous Brain-Computer Interfaces: lessons learned from instructional design. Frontiers in Human Neuroscience, 7(September), 568. doi:10.3389/fnhum.2013.00568
Neuper, C., & Pfurtscheller, G. (2010). Neurofeedback Training for BCI Control. In B. Graimann, G. Pfurtscheller, & B. Allison (Eds.), Brain-Computer Interfaces (pp. 65–78). Berlin, Heidelberg: Springer Berlin Heidelberg. doi:10.1007/978-3-642-02091-9
Peng, H. C. (2005). Feature Selection Based on Mutual Information Criteria of Max-dependency, Max-relevance, and Min-redundancy. IEEE Transactions on Pattern Analysis and Machine Intelligence, 27, 1226–1238.
Ramoser, H., Müller-Gerking, J., & Pfurtscheller, G. (2000). Optimal spatial filtering of single trial EEG during imagined hand movement. IEEE Transactions on Rehabilitation Engineering : A Publication of the IEEE Engineering in Medicine and Biology Society, 8(4), 441–446.
Randolph, A. B. (2011). Not all created equal: Individual-technology fit of brain-computer interfaces. Proceedings of the Annual Hawaii International Conference on System Sciences, 572–578. doi:10.1109/HICSS.2012.451
Scherer, R., Faller, J., Friedrich, E. V. C., Opisso, E., Costa, U., Kübler, A., & Müller-Putz, G. R. (2015). Individually adapted imagery improves brain-computer interface performance in end-users with disability. PloS One, 10(5), e0123727. doi:10.1371/journal.pone.0123727
Wolpaw, J. R., Birbaumer, N., McFarland, D. J., Pfurtscheller, G., & Vaughan, T. M. (2002). Brain-computer interfaces for communication and control. Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology, 113(6), 767–791.