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Klaus-Robert Müller

Affiliations: 
Technische Universität Berlin, Berlin, Berlin, Germany 
Area:
Machine Learning
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"Klaus-Robert Müller"
Mean distance: 14.34 (cluster 29)
 
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Parents

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Children

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Kai Görgen grad student BCCN Berlin
Bernhard Schölkopf grad student MPI for Biological Cybernetics
Felix Biessmann grad student 2007-2010 TU Berlin
Sven Dähne grad student 2010-2015 TU Berlin

Collaborators

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Byoung-Kyong Min collaborator TU Berlin
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Publications

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Sannelli C, Vidaurre C, Müller KR, et al. (2019) A large scale screening study with a SMR-based BCI: Categorization of BCI users and differences in their SMR activity. Plos One. 14: e0207351
Bosse S, Acqualagna L, Samek W, et al. (2018) Assessing Perceived Image Quality Using Steady-State Visual Evoked Potentials and Spatio-Spectral Decomposition Ieee Transactions On Circuits and Systems For Video Technology. 28: 1694-1706
Shin J, von Luhmann A, Blankertz B, et al. (2016) Open Access Dataset for EEG+NIRS Single-Trial Classification. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society
Blankertz B, Acqualagna L, Dähne S, et al. (2016) The Berlin Brain-Computer Interface: Progress Beyond Communication and Control. Frontiers in Neuroscience. 10: 530
Shin J, von Luhmann A, Blankertz B, et al. (2016) Open Access Dataset for EEG+NIRS Single-Trial Classification. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society
Min BK, Dähne S, Ahn MH, et al. (2016) Decoding of top-down cognitive processing for SSVEP-controlled BMI. Scientific Reports. 6: 36267
Samek W, Blythe DA, Curio G, et al. (2016) Multiscale temporal neural dynamics predict performance in a complex sensorimotor task. Neuroimage
Sannelli C, Vidaurre C, Müller KR, et al. (2016) Ensembles of adaptive spatial filters increase BCI performance: an online evaluation. Journal of Neural Engineering. 13: 046003
Treder MS, Porbadnigk AK, Avarvand FS, et al. (2016) The LDA beamformer: Optimal estimation of ERP source time series using linear discriminant analysis. Neuroimage
Won DO, Hwang HJ, Dähne S, et al. (2015) Effect of higher frequency on the classification of steady-state visual evoked potentials. Journal of Neural Engineering. 13: 016014
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