Decoding Brain States during Auditory Perception by Supervising Unsupervised Learning |
Porbadnigk, Anne K.
(Machine Learning Laboratory, Berlin Institute of Technology, Berlin, and DFG Research Training Group 'Sensory Computation in Neural Systems')
Gornitz, Nico (Machine Learning Laboratory, Berlin Institute of Technology) Kloft, Marius (Courant Institute of Mathematical Sciences, New York, and Memorial Sloan-Kettering Cancer Center) Muller, Klaus-Robert (Machine Learning Laboratory, Berlin Institute of Technology, Department of Brain and Cognitive Engineering, Korea University) |
1 | K. R. Müller, C. W. Anderson, and G. E. Birch, "Linear and non-linear methods for brain-computer interfaces," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 11, no. 2, pp. 165-169, 2003. DOI ScienceOn |
2 | P. von Bunau, F. C. Meinecke, F. Kiraly, and K. R. Muller, "Finding stationary subspaces in multivariate time series," Physical Review Letters, vol. 103, no. 21, pp. 214101, 2009. DOI ScienceOn |
3 | P. Shenoy, M. Krauledat, B. Blankertz, R. P. N. Rao, and K. R. Müller, "Towards adaptive classification for BCI," Journal of Neural Engineering, vol. 3, no. 1, pp. R13-R23, 2006. DOI ScienceOn |
4 | C. Vidaurre, C. Sannelli, K. R. Muller, and B. Blankertz, "Machine-learning based co-adaptive calibration," Neural Computation, vol. 23, no. 3, pp. 791-816, 2011. DOI ScienceOn |
5 | C. Sannelli, M. Braun, and K. R. Müller, "Improving BCI performance by task-related trial pruning," Neural Networks, vol. 22, no. 9, pp. 1295-1304, 2009. DOI ScienceOn |
6 | B. Blankertz, S. Lemm, M. S. Treder, S. Haufe, and K. R. Muller, "Single-trial analysis and classification of ERP components: a tutorial," Neuroimage, vol. 56, no. 2, pp. 814-825, 2011. DOI ScienceOn |
7 | Blankertz, R. Tomioka, S. Lemm, M. Kawanabe, and K. R. Müller, "Optimizing spatial filters for robust EEG single-trial analysis," IEEE Signal Process Magazine, vol. 25, no. 1, pp. 41-56, 2008. |
8 | B. Blankertz, G. Dornhege, M. Krauledat, K. R. Müller, and G. Curio, "The non-invasive berlin brain-computer interface: fast acquisition of effective performance in untrained subjects," Neuroimage, vol. 37, no. 2, pp. 539-550, 2007. DOI ScienceOn |
9 | B. Blankertz, G. Curio, and K. R. Muller, "Classifying single trial EEG: towards brain computer interfacing," In Advances in Neural Information Processing Systems, T. G. Diettrich, S. Becker, and Z. Ghahramani, Editors, Cambridge, MA: MIT Press, 2002, pp. 157-164. |
10 | S. Lemm, B. Blankertz, T. Dickhaus, and K. R. Muller, "Introduction to machine learning for brain imaging," Neuroimage, vol. 56, no. 2, pp. 387-399, 2011. DOI ScienceOn |
11 | A. K. Porbadnigk, J. N. Antons, B. Blankertz, M. S. Treder, R. Schleicher, S. Möller, and G. Curio, "Using ERPs for assessing the (sub)conscious perception of noise," in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Buenos Aires, Argentina, 2010, pp. 2690-2693. |
12 | International Telecommunication Union, "ITUR Recommendation P.810: modulated noise reference unit (MNRU)," 1996. |
13 | S. Sutton, M. Braren, J. Zubin, and E. John, "Evoked-potential correlates of stimulus uncertainty," Science, vol. 150, no. 3700, pp. 1187-1188, 1965. DOI ScienceOn |
14 | V. Vapnik, The Nature of Statistical Learning Theory, New York, NY: Springer, 1995. |
15 | K. R. Müller, S. Mika, G. Ratsch, K. Tsuda, and B. Scholkopf, "An introduction to kernel-based learning algorithms," IEEE Transactions on Neural Networks, vol. 12, no. 2, pp. 181-201, 2001. DOI ScienceOn |
16 | G. Montavon, M. Braun, T. Krueger, and K. R. Müller, "Analyzing local structure in kernel-based learning: explanation, complexity and reliability assessment," IEEE Signal Processing Magazine, 2013, submitted to publication. |
17 | W. Polonik, "Measuring mass concentration and estimating density contour clusters: an excess mass approach," Annals of Statistics, vol. 23, no. 3, pp. 855-881, 1995. DOI |
18 | B. Scholkopf, J. Platt, J. Shawe-Taylor, A. Smola, and R. Williamson, "Estimating the support of a high-dimensional distribution," Neural Computation, vol. 13, no. 7, pp. 1443-1471, 2001. DOI ScienceOn |
19 | C. Cortes and V. Vapnik, "Support vector networks," Machine Learning, vol. 20, no. 3, pp. 273-297, 1995. |
20 | S. Mika, G. Ratsch, and K. R. Müller, "A mathematical programming approach to the kernel fisher algorithm," in Advances in Neural Information Processing Systems, T. Leen, T. Dietterich, and V. Tresp, Editors, Cambridge, MA: MIT Press, 2001, pp. 591-597. |
21 | J. R. Wolpaw, N. Birbaumer, D. J. McFarland, G. Pfurtscheller, and T. M. Vaughan, "Brain-computer interfaces for communication and control," Clinical Neurophysiology, vol. 113, no. 6, pp. 767-791, 2002. DOI ScienceOn |
22 | A. Kübler and K. R. Müller, "An introduction to brain computer interfacing," in Toward Brain-Computer Interfacing, G. Dornhege, J. del R. Millan, T. Hinterberger, D. McFarland, and K. R. Müller, Editors, Cambridge, MA: MIT Press, 2007, pp. 1-25. |
23 | G. Dornhege, M. Krauledat, K. R. Muller, and B. Blankertz, "General signal processing and machine learning tools for BCI," in Toward Brain-Computer Interfacing, G. Dornhege, J. del R. Millan, T. Hinterberger, D. McFarland, and K. R. Muller, Editors, Cambridge, MA: MIT Press, 2007, pp. 207-234. |
24 | B. Blankertz, M. Tangermann, C. Vidaurre, S. Fazli, C. Sannelli, S. Haufe, C. Maeder, L. E. Ramsey, I. Sturm, G. Curio, and K. R. Müller, "The berlin brain-computer interface: nonmedical uses of BCI technology," Front Neuroscience, vol. 4, pp. 198, 2010. |
25 | A. K. Porbadnigk, M. S. Treder, B. Blankertz, J. N. Antons, R. Schleicher, S. Möller, G. Curio, and K. R. Müller, "Single- trial analysis of the neural correlates of speech quality perception," Journal of Neural Engineering, 2013, submitted to publication. |
26 | K. R. Müller, M. Tangermann, G. Dornhege, M. Krauledat, G. Curio, and B. Blankertz, "Machine learning for real-time single-trial EEG-analysis: from brain-computer interfacing to mental state monitoring," Journal of Neuroscience Methods, vol. 167, no. 1, pp. 82-90, 2008. DOI ScienceOn |
27 | A. K. Porbadnigk, S. Scholler, B. Blankertz, A. Ritz, M. Born, R. Scholl, K. R. Müller, G. Curio, and M. S. Treder, "Revealing the neural response to imperceptible peripheral flicker with machine learning," in Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, Boston, MA, 2011, pp. 3692-3695. |
28 | S. Scholler, S. Bosse, M. S. Treder, B. Blankertz, G. Curio, K. R. Müller, and T. Wiegand, "Towards a direct measure of video quality perception using EEG," IEEE Transactions on Image Processing, vol. 21, no. 5, pp. 2619-2629, 2012. DOI ScienceOn |
29 | A. K. Porbadnigk, J. N. Antons, M. S. Treder, B. Blankertz, R. Schleicher, S. Möller, and G. Curio, "ERP assessment of word processing under broadcast bit rate limitations," Neuroscience Letters, vol. 500, suppl. 1, p. e49, 2011. |
30 | J. N. Antons, R. Schleicher, S. Arndt, S. Möller, A. K. Porbadnigk, and G. Curio, "Analyzing speech quality perception using electro-encephalography," IEEE Journal of Selected Topics in Signal Processing, vol. 6, no. 6, pp. 721- 731, 2012. DOI ScienceOn |
31 | B. Blankertz, F. Losch, M. Krauledat, G. Dornhege, G. Curio, and K. R. Müller, "The berlin brain-computer interface: accurate performance from first-session in BCI-naive subjects," IEEE Transactions on Bio-medical Engineering, vol. 55, no. 10, pp. 2452-2462, 2008. DOI ScienceOn |