| Year |
Citation |
Score |
| 2019 |
Sannelli C, Vidaurre C, Müller KR, Blankertz B. A large scale screening study with a SMR-based BCI: Categorization of BCI users and differences in their SMR activity. Plos One. 14: e0207351. PMID 30682025 DOI: 10.1371/Journal.Pone.0207351 |
0.555 |
|
| 2018 |
Bosse S, Acqualagna L, Samek W, Porbadnigk AK, Curio G, Blankertz B, Muller K, Wiegand T. 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. DOI: 10.1109/Tcsvt.2017.2694807 |
0.543 |
|
| 2016 |
Shin J, von Luhmann A, Blankertz B, Kim DW, Jeong J, Hwang HJ, Muller KR. 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. PMID 28113943 DOI: 10.1109/Tnsre.2016.2628057 |
0.574 |
|
| 2016 |
Blankertz B, Acqualagna L, Dähne S, Haufe S, Schultze-Kraft M, Sturm I, Ušćumlic M, Wenzel MA, Curio G, Müller KR. The Berlin Brain-Computer Interface: Progress Beyond Communication and Control. Frontiers in Neuroscience. 10: 530. PMID 27917107 DOI: 10.3389/Fnins.2016.00530 |
0.721 |
|
| 2016 |
Shin J, von Luhmann A, Blankertz B, Kim DW, Jeong J, Hwang HJ, Muller KR. 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. PMID 27849545 DOI: 10.1109/TNSRE.2016.2628057 |
0.574 |
|
| 2016 |
Min BK, Dähne S, Ahn MH, Noh YK, Müller KR. Decoding of top-down cognitive processing for SSVEP-controlled BMI. Scientific Reports. 6: 36267. PMID 27808125 DOI: 10.1038/Srep36267 |
0.768 |
|
| 2016 |
Samek W, Blythe DA, Curio G, Müller KR, Blankertz B, Nikulin VV. Multiscale temporal neural dynamics predict performance in a complex sensorimotor task. Neuroimage. PMID 27402598 DOI: 10.1016/J.Neuroimage.2016.06.056 |
0.537 |
|
| 2016 |
Sannelli C, Vidaurre C, Müller KR, Blankertz B. Ensembles of adaptive spatial filters increase BCI performance: an online evaluation. Journal of Neural Engineering. 13: 046003. PMID 27187530 DOI: 10.1088/1741-2560/13/4/046003 |
0.552 |
|
| 2016 |
Treder MS, Porbadnigk AK, Avarvand FS, Müller KR, Blankertz B. The LDA beamformer: Optimal estimation of ERP source time series using linear discriminant analysis. Neuroimage. PMID 26804780 DOI: 10.1016/J.Neuroimage.2016.01.019 |
0.513 |
|
| 2015 |
Won DO, Hwang HJ, Dähne S, Müller KR, Lee SW. Effect of higher frequency on the classification of steady-state visual evoked potentials. Journal of Neural Engineering. 13: 016014. PMID 26695712 DOI: 10.1088/1741-2560/13/1/016014 |
0.603 |
|
| 2015 |
Hahne JM, Dahne S, Hwang HJ, Muller KR, Parra LC. Correction to "Concurrent Adaptation of Human and Machine Improves Simultaneous and Proportional Myoelectric Control". Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. 23: 1128. PMID 26560083 DOI: 10.1109/TNSRE.2015.2497038 |
0.599 |
|
| 2015 |
Höhne J, Bartz D, Hebart MN, Müller KR, Blankertz B. Analyzing neuroimaging data with subclasses: A shrinkage approach. Neuroimage. 124: 740-751. PMID 26407815 DOI: 10.1016/J.Neuroimage.2015.09.031 |
0.553 |
|
| 2015 |
Acqualagna L, Bosse S, Porbadnigk AK, Curio G, Müller KR, Wiegand T, Blankertz B. EEG-based classification of video quality perception using steady state visual evoked potentials (SSVEPs). Journal of Neural Engineering. 12: 026012. PMID 25768913 DOI: 10.1088/1741-2560/12/2/026012 |
0.531 |
|
| 2015 |
Hahne JM, Dahne S, Hwang HJ, Muller KR, Parra LC. Concurrent Adaptation of Human and Machine Improves Simultaneous and Proportional Myoelectric Control. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. 23: 618-27. PMID 25680209 DOI: 10.1109/TNSRE.2015.2401134 |
0.634 |
|
| 2015 |
Winkler I, Haufe S, Porbadnigk AK, Müller KR, Dähne S. Identifying Granger causal relationships between neural power dynamics and variables of interest. Neuroimage. 111: 489-504. PMID 25554431 DOI: 10.1016/j.neuroimage.2014.12.059 |
0.63 |
|
| 2015 |
Bosse S, Acqualagna L, Porbadnigk AK, Curio G, Müller KR, Blankertz B, Wiegand T. Neurophysiological assessment of perceived image quality using steady-state visual evoked potentials Proceedings of Spie - the International Society For Optical Engineering. 9599. DOI: 10.1117/12.2193684 |
0.533 |
|
| 2015 |
Fazli S, Dähne S, Samek W, Bießmann F, Müller KR. Learning from more than one data source: Data fusion techniques for sensorimotor rhythm-based brain - Computer interfaces Proceedings of the Ieee. 103: 891-906. DOI: 10.1109/JPROC.2015.2413993 |
0.638 |
|
| 2015 |
Vidaurre C, Sannelli C, Samek W, Dähne S, Müller KR. Machine learning methods of the Berlin brain-computer interface Ifac Proceedings Volumes (Ifac-Papersonline). 48: 447-452. DOI: 10.1016/j.ifacol.2015.10.181 |
0.633 |
|
| 2014 |
Gaebler M, Biessmann F, Lamke JP, Müller KR, Walter H, Hetzer S. Stereoscopic depth increases intersubject correlations of brain networks. Neuroimage. 100: 427-34. PMID 24945664 DOI: 10.1016/J.Neuroimage.2014.06.008 |
0.757 |
|
| 2014 |
Dähne S, Nikulin VV, Ramírez D, Schreier PJ, Müller KR, Haufe S. Finding brain oscillations with power dependencies in neuroimaging data. Neuroimage. 96: 334-48. PMID 24721331 DOI: 10.1016/J.Neuroimage.2014.03.075 |
0.629 |
|
| 2014 |
Hahne JM, Biessmann F, Jiang N, Rehbaum H, Farina D, Meinecke FC, Muller KR, Parra LC. Linear and nonlinear regression techniques for simultaneous and proportional myoelectric control. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. 22: 269-79. PMID 24608685 DOI: 10.1109/TNSRE.2014.2305520 |
0.75 |
|
| 2014 |
Dähne S, Meinecke FC, Haufe S, Höhne J, Tangermann M, Müller KR, Nikulin VV. SPoC: a novel framework for relating the amplitude of neuronal oscillations to behaviorally relevant parameters. Neuroimage. 86: 111-22. PMID 23954727 DOI: 10.1016/j.neuroimage.2013.07.079 |
0.6 |
|
| 2014 |
Hohne J, Blankertz B, Muller KR, Bartz D. Mean shrinkage improves the classification of ERP signals by exploiting additional label information Proceedings - 2014 International Workshop On Pattern Recognition in Neuroimaging, Prni 2014. DOI: 10.1109/PRNI.2014.6858523 |
0.491 |
|
| 2014 |
Biessmann F, Gaebler M, Lamke JP, Ju UJ, Hetzer S, Wallraven C, Muller KR. Data-driven multisubject neuroimaging analyses for naturalistic stimuli Proceedings - 2014 International Workshop On Pattern Recognition in Neuroimaging, Prni 2014. DOI: 10.1109/PRNI.2014.6858511 |
0.742 |
|
| 2014 |
Dähne S, Bießmann F, Meinecke FC, Mehnert J, Fazli S, Müller KR. Multimodal integration of electrophysiological and hemodynamic signals 2014 International Winter Workshop On Brain-Computer Interface, Bci 2014. DOI: 10.1109/iww-BCI.2014.6782552 |
0.575 |
|
| 2014 |
Bosse S, Acqualagna L, Porbadnigk AK, Blankertz B, Curio G, Muller KR, Wiegand T. Neurally informed assessment of perceived natural texture image quality 2014 Ieee International Conference On Image Processing, Icip 2014. 1987-1991. DOI: 10.1109/ICIP.2014.7025398 |
0.469 |
|
| 2013 |
He BJ, Nolte G, Nagata K, Takano D, Yamazaki T, Fujimaki Y, Maeda T, Satoh Y, Heckers S, George MS, Lopes da Silva F, de Munck JC, Van Houdt PJ, Verdaasdonk RM, Ossenblok P, et al. Abstracts of Presentations at the International Conference on Basic and Clinical Multimodal Imaging (BaCI), a Joint Conference of the International Society for Neuroimaging in Psychiatry (ISNIP), the International Society for Functional Source Imaging (ISFSI), the International Society for Bioelectromagnetism (ISBEM), the International Society for Brain Electromagnetic Topography (ISBET), and the EEG and Clinical Neuroscience Society (ECNS), in Geneva, Switzerland, September 5-8, 2013. Clinical Eeg and Neuroscience. PMID 24368763 DOI: 10.1177/1550059413507209 |
0.422 |
|
| 2013 |
Vidaurre C, Pascual J, Ramos-Murguialday A, Lorenz R, Blankertz B, Birbaumer N, Müller KR. Neuromuscular electrical stimulation induced brain patterns to decode motor imagery. Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology. 124: 1824-34. PMID 23642833 DOI: 10.1016/J.Clinph.2013.03.009 |
0.542 |
|
| 2013 |
Dähne S, Biesßmann F, Meinecke FC, Mehnert J, Fazli S, Müller KR. Integration of multivariate data streams with bandpower signals Ieee Transactions On Multimedia. 15: 1001-1013. DOI: 10.1109/Tmm.2013.2250267 |
0.638 |
|
| 2013 |
Porbadnigk AK, Treder MS, Fazli S, Tangermann M, Vidaurre C, Haufe S, Curio G, Blankertz B, Müller KR. Decoding cognitive brain states 2013 International Winter Workshop On Brain-Computer Interface, Bci 2013. 16-18. DOI: 10.1109/IWW-BCI.2013.6506613 |
0.494 |
|
| 2013 |
Fazli S, Müller KR, Lee SW, Blankertz B. Tutorial on multimodal neuroimaging for brain-computer interfacing 2013 International Winter Workshop On Brain-Computer Interface, Bci 2013. 1-2. DOI: 10.1109/IWW-BCI.2013.6506605 |
0.544 |
|
| 2012 |
Tangermann M, Müller KR, Aertsen A, Birbaumer N, Braun C, Brunner C, Leeb R, Mehring C, Miller KJ, Müller-Putz GR, Nolte G, Pfurtscheller G, Preissl H, Schalk G, Schlögl A, et al. Review of the BCI Competition IV. Frontiers in Neuroscience. 6: 55. PMID 22811657 DOI: 10.3389/Fnins.2012.00055 |
0.521 |
|
| 2012 |
Fazli S, Mehnert J, Steinbrink J, Curio G, Villringer A, Müller KR, Blankertz B. Enhanced performance by a hybrid NIRS-EEG brain computer interface. Neuroimage. 59: 519-29. PMID 21840399 DOI: 10.1016/J.Neuroimage.2011.07.084 |
0.566 |
|
| 2012 |
Biessmann F, Papaioannou JM, Harth A, Jugel ML, Muller KR, Braun M. Quantifying spatiotemporal dynamics of twitter replies to news feeds Ieee International Workshop On Machine Learning For Signal Processing, Mlsp. DOI: 10.1109/MLSP.2012.6349806 |
0.721 |
|
| 2012 |
Hahne JM, Rehbaum H, Biessmann F, Meinecke FC, Muller KR, Jiang N, Farina D, Parra LC. Simultaneous and proportional control of 2D wrist movements with myoelectric signals Ieee International Workshop On Machine Learning For Signal Processing, Mlsp. DOI: 10.1109/MLSP.2012.6349712 |
0.739 |
|
| 2012 |
Blankertz B, Tangermann M, Müller KR. BCI Applications for the General Population Brain-Computer Interfaces: Principles and Practice. DOI: 10.1093/acprof:oso/9780195388855.003.0023 |
0.458 |
|
| 2011 |
Porbadnigk AK, Scholler S, Blankertz B, Ritz A, Born M, Scholl R, Muller KR, Curio G, Treder MS. Revealing the neural response to imperceptible peripheral flicker with machine learning. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2011: 3692-5. PMID 22255141 DOI: 10.1109/IEMBS.2011.6090625 |
0.55 |
|
| 2011 |
Vidaurre C, Sannelli C, Müller KR, Blankertz B. Machine-learning-based coadaptive calibration for brain-computer interfaces. Neural Computation. 23: 791-816. PMID 21162666 DOI: 10.1162/Neco_A_00089 |
0.571 |
|
| 2010 |
Blankertz B, Tangermann M, Vidaurre C, Fazli S, Sannelli C, Haufe S, Maeder C, Ramsey L, Sturm I, Curio G, Müller KR. The Berlin Brain-Computer Interface: Non-Medical Uses of BCI Technology. Frontiers in Neuroscience. 4: 198. PMID 21165175 DOI: 10.3389/Fnins.2010.00198 |
0.532 |
|
| 2010 |
Venthur B, Scholler S, Williamson J, Dähne S, Treder MS, Kramarek MT, Müller KR, Blankertz B. Pyff - a pythonic framework for feedback applications and stimulus presentation in neuroscience. Frontiers in Neuroscience. 4: 179. PMID 21160550 DOI: 10.3389/Fnins.2010.00179 |
0.713 |
|
| 2010 |
Sannelli C, Vidaurre C, Muller KR, Blankertz B. Common spatial pattern patches - an optimized filter ensemble for adaptive brain-computer interfaces. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2010: 4351-4. PMID 21096003 DOI: 10.1109/IEMBS.2010.5626227 |
0.528 |
|
| 2010 |
Haufe S, Tomioka R, Dickhaus T, Sannelli C, Blankertz B, Nolte G, Muller KR. Localization of class-related mu-rhythm desynchronization in motor imagery based brain-computer interface sessions. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2010: 5137-40. PMID 21095811 DOI: 10.1109/IEMBS.2010.5626177 |
0.545 |
|
| 2010 |
Biebmann F, Meinecke FC, Gretton A, Rauch A, Rainer G, Logothetis NK, Müller KR. Temporal kernel CCA and its application in multimodal neuronal data analysis Machine Learning. 79: 5-27. DOI: 10.1007/S10994-009-5153-3 |
0.542 |
|
| 2010 |
Vidaurre C, Sannelli C, Müller KR, Blankertz B. Machine-learning based co-adaptive calibration: A perspective to fight BCI illiteracy Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 6076: 413-420. DOI: 10.1007/978-3-642-13769-3_50 |
0.506 |
|
| 2009 |
Bießmann F, Gretton A, Meinecke FC, Zhang X, Rainer G, Logothetis NK, Müller K, Rauch A. Investigating neurovascular coupling using canonical correlation analysis between pharmacological MRI and electrophysiology Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P86 |
0.744 |
|
| 2009 |
Dickhaus T, Sannelli C, Müller K, Curio G, Blankertz B. Predicting BCI performance to study BCI illiteracy Bmc Neuroscience. 10: P84. DOI: 10.1186/1471-2202-10-S1-P84 |
0.488 |
|
| 2009 |
Blankertz B, Müller K, Curio G. Neuronal correlates of emotions in human-machine interaction Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P80 |
0.49 |
|
| 2009 |
Kawanabe M, Vidaurre C, Blankertz B, Müller KR. A maxmin approach to optimize spatial filters for eeg single-trial classification Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5517: 674-682. DOI: 10.1007/978-3-642-02478-8_84 |
0.48 |
|
| 2009 |
Fazli S, Danóczy M, Popescu F, Blankertz B, Müller KR. Using rest class and control paradigms for brain computer interfacing Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 5517: 651-665. DOI: 10.1007/978-3-642-02478-8_82 |
0.549 |
|
| 2008 |
Nijholt A, Tan D, Pfurtscheller G, Brunner C, Millón JDR, Allison B, Graimann B, Popescu F, Blankertz B, Müller KR. Brain-computer interfacing for intelligent systems Ieee Intelligent Systems. 23: 72-79. DOI: 10.1109/Mis.2008.41 |
0.549 |
|
| 2007 |
Rätsch G, Sonnenburg S, Srinivasan J, Witte H, Müller KR, Sommer RJ, Schölkopf B. Improving the Caenorhabditis elegans genome annotation using machine learning. Plos Computational Biology. 3: e20. PMID 17319737 DOI: 10.1371/Journal.Pcbi.0030020 |
0.603 |
|
| 2007 |
Losch F, Blankertz B, Krauledat M, Dornhege G, Curio G, Müller K. Präzise Leistungen ab dem ersten Versuch: Das Berliner Brain-Computer-Interface Klinische Neurophysiologie. 38. DOI: 10.1055/S-2007-976419 |
0.519 |
|
| 2007 |
Krepki R, Curio G, Blankertz B, Müller KR. Berlin Brain-Computer Interface-The HCI communication channel for discovery International Journal of Human Computer Studies. 65: 460-477. DOI: 10.1016/J.Ijhcs.2006.11.010 |
0.574 |
|
| 2007 |
Krepki R, Blankertz B, Curio G, Müller KR. The Berlin Brain-Computer Interface (BBCI) - Towards a new communication channel for online control in gaming applications Multimedia Tools and Applications. 33: 73-90. DOI: 10.1007/S11042-006-0094-3 |
0.554 |
|
| 2007 |
Krauledat M, Schröder M, Blankertz B, Müller KR. Reducing calibration time for brain-computer interfaces: A clustering approach Advances in Neural Information Processing Systems. 753-760. |
0.514 |
|
| 2007 |
Müller KR, Krauledat M, Dornhege G, Curio G, Blankertz B. Machine learning and applications for brain-computer Interfacing Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4557: 705-714. |
0.55 |
|
| 2007 |
Laub J, MacKe J, Müller KR, Wichmann FA. Inducing metric violations in human similarity judgements Advances in Neural Information Processing Systems. 777-784. |
0.679 |
|
| 2006 |
Blankertz B, Müller KR, Krusienski DJ, Schalk G, Wolpaw JR, Schlögl A, Pfurtscheller G, Millán Jdel R, Schröder M, Birbaumer N. The BCI competition. III: Validating alternative approaches to actual BCI problems. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. 14: 153-9. PMID 16792282 DOI: 10.1109/Tnsre.2006.875642 |
0.578 |
|
| 2006 |
Shenoy P, Krauledat M, Blankertz B, Rao RP, Müller KR. Towards adaptive classification for BCI. Journal of Neural Engineering. 3: R13-23. PMID 16510936 DOI: 10.1088/1741-2560/3/1/R02 |
0.591 |
|
| 2006 |
Muller K, Blankertz B. Toward noninvasive brain-computer interfaces Ieee Signal Processing Magazine. 23: 128-126. DOI: 10.1109/Msp.2006.1708426 |
0.539 |
|
| 2006 |
Sugiyama M, Blankertz B, Krauledat M, Dornhege G, Müller KR. Importance-weighted cross-validation for covariate shift Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 4174: 354-363. |
0.439 |
|
| 2006 |
Blankertz B, Dornhege G, Lemm S, Krauledat M, Curio G, Müller KR. The Berlin brain-computer interface: Machine learning based detection of user specific brain states Journal of Universal Computer Science. 12: 581-607. |
0.556 |
|
| 2004 |
Krauledat M, Dornhege G, Blankertz B, Losch F, Curio G, Müller KR. Improving speed and accuracy of brain-computer interfaces using readiness potential features. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 6: 4511-5. PMID 17271309 DOI: 10.1109/IEMBS.2004.1404253 |
0.583 |
|
| 2004 |
Blankertz B, Müller KR, Curio G, Vaughan TM, Schalk G, Wolpaw JR, Schlögl A, Neuper C, Pfurtscheller G, Hinterberger T, Schröder M, Birbaumer N. The BCI Competition 2003: progress and perspectives in detection and discrimination of EEG single trials. Ieee Transactions On Bio-Medical Engineering. 51: 1044-51. PMID 15188876 DOI: 10.1109/Tbme.2004.826692 |
0.574 |
|
| 2004 |
Losch F, Blankertz B, Müller K, Curio G. The Influence of Preceding Movements on Motor Cortical Activity in Finger-Tapping Klinische Neurophysiologie. 35. DOI: 10.1055/S-2004-832081 |
0.47 |
|
| 2004 |
Kunzmann V, Blankertz B, Dornhege G, Krauledat M, Müller K, Curio G. The Berlin Brain-Computer Interface – Single trial classifications of phantom finger movements of arm amputees Klinische Neurophysiologie. 35. DOI: 10.1055/S-2004-832067 |
0.539 |
|
| 2001 |
Müller KR, Mika S, Rätsch G, Tsuda K, Schölkopf B. An introduction to kernel-based learning algorithms. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 12: 181-201. PMID 18244377 DOI: 10.1109/72.914517 |
0.611 |
|
| 2000 |
Zien A, Rätsch G, Mika S, Schölkopf B, Lengauer T, Müller KR. Engineering support vector machine kernels that recognize translation initiation sites. Bioinformatics (Oxford, England). 16: 799-807. PMID 11108702 |
0.606 |
|
| 1999 |
Schölkopf B, Mika S, Burges CC, Knirsch P, Müller KR, Rätsch G, Smola AJ. Input space versus feature space in kernel-based methods. Ieee Transactions On Neural Networks / a Publication of the Ieee Neural Networks Council. 10: 1000-17. PMID 18252603 DOI: 10.1109/72.788641 |
0.591 |
|
| 1998 |
Smola AJ, Schölkopf B, Müller KR. The connection between regularization operators and support vector kernels. Neural Networks : the Official Journal of the International Neural Network Society. 11: 637-649. PMID 12662802 |
0.588 |
|
| Show low-probability matches. |