| Year |
Citation |
Score |
| 2019 |
Jacucci G, Barral O, Daee P, Wenzel M, Serim B, Ruotsalo T, Pluchino P, Freeman J, Gamberini L, Kaski S, Blankertz B. Integrating neurophysiologic relevance feedback in intent modeling for information retrieval. Journal of the Association For Information Science and Technology. 70: 917-930. PMID 31763361 DOI: 10.1002/Asi.24161 |
0.4 |
|
| 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 |
0.58 |
|
| 2019 |
Neumann WJ, Turner RS, Blankertz B, Mitchell T, Kühn AA, Mark Richardson R. Toward Electrophysiology-Based Intelligent Adaptive Deep Brain Stimulation for Movement Disorders. Neurotherapeutics : the Journal of the American Society For Experimental Neurotherapeutics. PMID 30607748 DOI: 10.1007/S13311-018-00705-0 |
0.326 |
|
| 2018 |
Meinel A, Castaño-Candamil S, Blankertz B, Lotte F, Tangermann M. Characterizing Regularization Techniques for Spatial Filter Optimization in Oscillatory EEG Regression Problems : Guidelines Derived from Simulation and Real-World Data. Neuroinformatics. PMID 30128674 DOI: 10.1007/S12021-018-9396-7 |
0.411 |
|
| 2018 |
Gemignani J, Middell E, Barbour RL, Graber HL, Blankertz B. Improving the analysis of near-infrared spectroscopy data with multivariate classification of hemodynamic patterns: A theoretical formulation and validation. Journal of Neural Engineering. PMID 29616976 DOI: 10.1088/1741-2552/Aabb7C |
0.374 |
|
| 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 |
0.538 |
|
| 2017 |
Golenia JE, Wenzel MA, Bogojeski M, Blankertz B. Implicit relevance feedback from electroencephalography and eye tracking in image search. Journal of Neural Engineering. PMID 29125134 DOI: 10.1088/1741-2552/Aa9999 |
0.366 |
|
| 2017 |
Nicolae IE, Acqualagna L, Blankertz B. Assessing the Depth of Cognitive Processing as the Basis for Potential User-State Adaptation. Frontiers in Neuroscience. 11: 548. PMID 29046625 DOI: 10.3389/Fnins.2017.00548 |
0.383 |
|
| 2017 |
Botrel L, Acqualagna L, Blankertz B, Kübler A. Short progressive muscle relaxation or motor coordination training does not increase performance in a brain-computer interface based on sensorimotor rhythms (SMR). International Journal of Psychophysiology : Official Journal of the International Organization of Psychophysiology. 121: 29-37. PMID 28870435 DOI: 10.1016/J.Ijpsycho.2017.08.007 |
0.375 |
|
| 2017 |
Wenzel MA, Bogojeski M, Blankertz B. Real-time inference of word relevance from electroencephalogram and eye gaze. Journal of Neural Engineering. PMID 28555611 DOI: 10.1088/1741-2552/Aa7590 |
0.345 |
|
| 2017 |
Alimardani F, Boostani R, Blankertz B. Weighted spatial based geometric scheme as an efficient algorithm for analyzing single-trial EEGS to improve cue-based BCI classification. Neural Networks : the Official Journal of the International Neural Network Society. PMID 28385624 DOI: 10.1016/J.Neunet.2017.02.014 |
0.357 |
|
| 2017 |
Sturm I, Blankertz B, Curio G. Multivariate EEG analysis reveals neural correlates for the differential perception of chord progressions. Psychomusicology: Music, Mind, and Brain. 27: 281-296. DOI: 10.1037/Pmu0000196 |
0.309 |
|
| 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 |
0.586 |
|
| 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 |
0.571 |
|
| 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 |
0.536 |
|
| 2016 |
Wenzel MA, Almeida I, Blankertz B. Is Neural Activity Detected by ERP-Based Brain-Computer Interfaces Task Specific? Plos One. 11: e0165556. PMID 27792781 DOI: 10.1371/Journal.Pone.0165556 |
0.38 |
|
| 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 |
0.572 |
|
| 2016 |
Schultze-Kraft M, Dähne S, Gugler M, Curio G, Blankertz B. Unsupervised classification of operator workload from brain signals. Journal of Neural Engineering. 13: 036008. PMID 27078889 DOI: 10.1088/1741-2560/13/3/036008 |
0.374 |
|
| 2016 |
Wenzel MA, Golenia JE, Blankertz B. Classification of Eye Fixation Related Potentials for Variable Stimulus Saliency. Frontiers in Neuroscience. 10: 23. PMID 26912993 DOI: 10.3389/Fnins.2016.00023 |
0.315 |
|
| 2016 |
Acqualagna L, Botrel L, Vidaurre C, Kübler A, Blankertz B. Large-Scale Assessment of a Fully Automatic Co-Adaptive Motor Imagery-Based Brain Computer Interface. Plos One. 11: e0148886. PMID 26891350 DOI: 10.1371/Journal.Pone.0148886 |
0.442 |
|
| 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 |
0.527 |
|
| 2016 |
Ušćumlić M, Blankertz B. Active visual search in non-stationary scenes: coping with temporal variability and uncertainty. Journal of Neural Engineering. 13: 016015. PMID 26726921 DOI: 10.1088/1741-2560/13/1/016015 |
0.329 |
|
| 2016 |
Chen Y, Atnafu AD, Schlattner I, Weldtsadik WT, Roh MC, Kim HJ, Lee SW, Blankertz B, Fazli S. A High-Security EEG-Based Login System with RSVP Stimuli and Dry Electrodes Ieee Transactions On Information Forensics and Security. 11: 2635-2647. DOI: 10.1109/Tifs.2016.2577551 |
0.329 |
|
| 2015 |
Schultze-Kraft M, Birman D, Rusconi M, Allefeld C, Görgen K, Dähne S, Blankertz B, Haynes JD. The point of no return in vetoing self-initiated movements. Proceedings of the National Academy of Sciences of the United States of America. PMID 26668390 DOI: 10.1073/Pnas.1513569112 |
0.747 |
|
| 2015 |
Hwang HJ, Ferreria VY, Ulrich D, Kilic T, Chatziliadis X, Blankertz B, Treder M. A Gaze Independent Brain-Computer Interface Based on Visual Stimulation through Closed Eyelids. Scientific Reports. 5: 15890. PMID 26510583 DOI: 10.1038/Srep15890 |
0.366 |
|
| 2015 |
Sturm I, Dähne S, Blankertz B, Curio G. Multi-Variate EEG Analysis as a Novel Tool to Examine Brain Responses to Naturalistic Music Stimuli. Plos One. 10: e0141281. PMID 26510120 DOI: 10.1371/Journal.Pone.0141281 |
0.374 |
|
| 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 |
0.555 |
|
| 2015 |
Venthur B, Dähne S, Höhne J, Heller H, Blankertz B. Wyrm: A Brain-Computer Interface Toolbox in Python. Neuroinformatics. PMID 26001643 DOI: 10.1007/S12021-015-9271-8 |
0.379 |
|
| 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 |
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 |
0.528 |
|
| 2015 |
Seoane LF, Gabler S, Blankertz B. Images from the mind: BCI image evolution based on rapid serial visual presentation of polygon primitives Brain-Computer Interfaces. 2: 40-56. DOI: 10.1080/2326263X.2015.1060819 |
0.337 |
|
| 2015 |
Sturm I, Treder M, Miklody D, Purwins H, Dähne S, Blankertz B, Curio G. Extracting the neural representation of tone onsets for separate voices of ensemble music using multivariate EEG analysis. Psychomusicology: Music, Mind, and Brain. 25: 366-379. DOI: 10.1037/Pmu0000104 |
0.33 |
|
| 2014 |
Sturm I, Blankertz B, Potes C, Schalk G, Curio G. ECoG high gamma activity reveals distinct cortical representations of lyrics passages, harmonic and timbre-related changes in a rock song. Frontiers in Human Neuroscience. 8: 798. PMID 25352799 DOI: 10.1016/S1388-2457(14)50979-0 |
0.327 |
|
| 2014 |
An X, Höhne J, Ming D, Blankertz B. Exploring combinations of auditory and visual stimuli for gaze-independent brain-computer interfaces. Plos One. 9: e111070. PMID 25350547 DOI: 10.1371/Journal.Pone.0111070 |
0.394 |
|
| 2014 |
Hammer EM, Kaufmann T, Kleih SC, Blankertz B, Kübler A. Visuo-motor coordination ability predicts performance with brain-computer interfaces controlled by modulation of sensorimotor rhythms (SMR). Frontiers in Human Neuroscience. 8: 574. PMID 25147518 DOI: 10.3389/Fnhum.2014.00574 |
0.395 |
|
| 2014 |
Haufe S, Kim JW, Kim IH, Sonnleitner A, Schrauf M, Curio G, Blankertz B. Electrophysiology-based detection of emergency braking intention in real-world driving. Journal of Neural Engineering. 11: 056011. PMID 25111850 DOI: 10.1088/1741-2560/11/5/056011 |
0.359 |
|
| 2014 |
Lorenz R, Pascual J, Blankertz B, Vidaurre C. Towards a holistic assessment of the user experience with hybrid BCIs. Journal of Neural Engineering. 11: 035007. PMID 24835132 DOI: 10.1088/1741-2560/11/3/035007 |
0.363 |
|
| 2014 |
Treder MS, Purwins H, Miklody D, Sturm I, Blankertz B. Decoding auditory attention to instruments in polyphonic music using single-trial EEG classification. Journal of Neural Engineering. 11: 026009. PMID 24608228 DOI: 10.1088/1741-2560/11/2/026009 |
0.371 |
|
| 2014 |
Haufe S, Meinecke F, Görgen K, Dähne S, Haynes JD, Blankertz B, Bießmann F. On the interpretation of weight vectors of linear models in multivariate neuroimaging. Neuroimage. 87: 96-110. PMID 24239590 DOI: 10.1016/J.Neuroimage.2013.10.067 |
0.762 |
|
| 2014 |
Haufe S, Meinecke F, Blankertz B, Dähne S, Görgen K, Haynes J, Bießmann F. Interpreting parameters of multivariate linear models in neuroimaging F1000research. 5. DOI: 10.7490/F1000Research.1096021.1 |
0.723 |
|
| 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 |
0.422 |
|
| 2014 |
Haufe S, Meinecke F, Gorgen K, Dahne S, Haynes JD, Blankertz B, Biessmann F. Parameter interpretation, regularization and source localization in multivariate linear models Proceedings - 2014 International Workshop On Pattern Recognition in Neuroimaging, Prni 2014. DOI: 10.1109/PRNI.2014.6858522 |
0.711 |
|
| 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 |
0.389 |
|
| 2014 |
Sannelli C, Vidaurre C, Mueller K, Blankertz B. LP24: Changes in the resting-state EEG induced by one single SMR-based brain-computer interface session Clinical Neurophysiology. 125: S148. DOI: 10.1016/S1388-2457(14)50486-5 |
0.358 |
|
| 2013 |
Porbadnigk AK, Treder MS, Blankertz B, Antons JN, Schleicher R, Möller S, Curio G, Müller KR. Single-trial analysis of the neural correlates of speech quality perception. Journal of Neural Engineering. 10: 056003. PMID 23902853 DOI: 10.1088/1741-2560/10/5/056003 |
0.356 |
|
| 2013 |
Schreuder M, Höhne J, Blankertz B, Haufe S, Dickhaus T, Tangermann M. Optimizing event-related potential based brain-computer interfaces: a systematic evaluation of dynamic stopping methods. Journal of Neural Engineering. 10: 036025. PMID 23685458 DOI: 10.1088/1741-2560/10/3/036025 |
0.382 |
|
| 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 |
0.569 |
|
| 2013 |
Acqualagna L, Blankertz B. Gaze-independent BCI-spelling using rapid serial visual presentation (RSVP). Clinical Neurophysiology : Official Journal of the International Federation of Clinical Neurophysiology. 124: 901-8. PMID 23466266 DOI: 10.1016/J.Clinph.2012.12.050 |
0.36 |
|
| 2013 |
Dickhaus T, Blankertz B, Meinecke FC. Binary classification with pFDR-pFNR losses. Biometrical Journal. Biometrische Zeitschrift. 55: 463-77. PMID 23378199 DOI: 10.1002/Bimj.201200054 |
0.358 |
|
| 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 |
0.445 |
|
| 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 |
0.514 |
|
| 2012 |
Fazli S, Mehnert J, Steinbrink J, Blankertz B. Using NIRS as a predictor for EEG-based BCI performance. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2012: 4911-4. PMID 23367029 DOI: 10.1109/EMBC.2012.6347095 |
0.301 |
|
| 2012 |
Sannelli C, Vidaurre C, Müller KR, Blankertz B. Common Spatial Pattern Patches: online evaluation on BCI-naive users. Conference Proceedings : ... Annual International Conference of the Ieee Engineering in Medicine and Biology Society. Ieee Engineering in Medicine and Biology Society. Annual Conference. 2012: 4744-7. PMID 23366988 DOI: 10.1109/EMBC.2012.6347027 |
0.303 |
|
| 2012 |
Schaeff S, Treder MS, Venthur B, Blankertz B. Exploring motion VEPs for gaze-independent communication. Journal of Neural Engineering. 9: 045006. PMID 22832017 DOI: 10.1088/1741-2560/9/4/045006 |
0.347 |
|
| 2012 |
Thurlings ME, Brouwer AM, Van Erp JB, Blankertz B, Werkhoven PJ. Does bimodal stimulus presentation increase ERP components usable in BCIs? Journal of Neural Engineering. 9: 045005. PMID 22831989 DOI: 10.1088/1741-2560/9/4/045005 |
0.348 |
|
| 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, ... ... Blankertz B, et al. Review of the BCI Competition IV. Frontiers in Neuroscience. 6: 55. PMID 22811657 DOI: 10.3389/Fnins.2012.00055 |
0.521 |
|
| 2012 |
Maeder CL, Sannelli C, Haufe S, Blankertz B. Pre-stimulus sensorimotor rhythms influence brain-computer interface classification performance. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. 20: 653-62. PMID 22801528 DOI: 10.1109/Tnsre.2012.2205707 |
0.411 |
|
| 2012 |
Thurlings ME, van Erp JB, Brouwer AM, Blankertz B, Werkhoven P. Control-display mapping in brain-computer interfaces. Ergonomics. 55: 564-80. PMID 22506977 DOI: 10.1080/00140139.2012.661085 |
0.38 |
|
| 2012 |
Schmidt NM, Blankertz B, Treder MS. Online detection of error-related potentials boosts the performance of mental typewriters. Bmc Neuroscience. 13: 19. PMID 22336293 DOI: 10.1186/1471-2202-13-19 |
0.339 |
|
| 2012 |
Hammer EM, Halder S, Blankertz B, Sannelli C, Dickhaus T, Kleih S, Müller KR, Kübler A. Psychological predictors of SMR-BCI performance. Biological Psychology. 89: 80-6. PMID 21964375 DOI: 10.1016/J.Biopsycho.2011.09.006 |
0.357 |
|
| 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 |
0.589 |
|
| 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 |
0.377 |
|
| 2012 |
Curio G, Blankertz B, Müller KR. EEG-based brain-computer interfaces for real-time decoding of mental states | EEG-basierte Brain-Computer Interfaces zur Echtzeit-Dekodierung mentaler Zustände Klinische Neurophysiologie. 43: 213-219. DOI: 10.1055/S-0032-1316304 |
0.455 |
|
| 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 |
0.482 |
|
| 2011 |
Treder MS, Schmidt NM, Blankertz B. Gaze-independent brain-computer interfaces based on covert attention and feature attention. Journal of Neural Engineering. 8: 066003. PMID 21975312 DOI: 10.1088/1741-2560/8/6/066003 |
0.353 |
|
| 2011 |
Höhne J, Schreuder M, Blankertz B, Tangermann M. A Novel 9-Class Auditory ERP Paradigm Driving a Predictive Text Entry System. Frontiers in Neuroscience. 5: 99. PMID 21909321 DOI: 10.3389/Fnins.2011.00099 |
0.379 |
|
| 2011 |
Haufe S, Treder MS, Gugler MF, Sagebaum M, Curio G, Blankertz B. EEG potentials predict upcoming emergency brakings during simulated driving. Journal of Neural Engineering. 8: 056001. PMID 21799241 DOI: 10.1088/1741-2560/8/5/056001 |
0.327 |
|
| 2011 |
Treder MS, Bahramisharif A, Schmidt NM, van Gerven MA, Blankertz B. Brain-computer interfacing using modulations of alpha activity induced by covert shifts of attention. Journal of Neuroengineering and Rehabilitation. 8: 24. PMID 21672270 DOI: 10.1186/1743-0003-8-24 |
0.336 |
|
| 2011 |
Sannelli C, Vidaurre C, Müller KR, Blankertz B. CSP patches: an ensemble of optimized spatial filters. An evaluation study. Journal of Neural Engineering. 8: 025012. PMID 21436539 DOI: 10.1088/1741-2560/8/2/025012 |
0.331 |
|
| 2011 |
Vidaurre C, Sannelli C, Müller KR, Blankertz B. Co-adaptive calibration to improve BCI efficiency. Journal of Neural Engineering. 8: 025009. PMID 21436515 DOI: 10.1088/1741-2560/8/2/025009 |
0.401 |
|
| 2011 |
Lemm S, Blankertz B, Dickhaus T, Müller KR. Introduction to machine learning for brain imaging. Neuroimage. 56: 387-99. PMID 21172442 DOI: 10.1016/J.Neuroimage.2010.11.004 |
0.395 |
|
| 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 |
0.587 |
|
| 2011 |
Vidaurre C, Kawanabe M, von Bünau P, Blankertz B, Müller KR. Toward unsupervised adaptation of LDA for brain-computer interfaces. Ieee Transactions On Bio-Medical Engineering. 58: 587-97. PMID 21095857 DOI: 10.1109/Tbme.2010.2093133 |
0.442 |
|
| 2011 |
Haufe S, Tomioka R, Dickhaus T, Sannelli C, Blankertz B, Nolte G, Müller KR. Large-scale EEG/MEG source localization with spatial flexibility. Neuroimage. 54: 851-9. PMID 20832477 DOI: 10.1016/J.Neuroimage.2010.09.003 |
0.373 |
|
| 2011 |
Blankertz B, Lemm S, Treder M, Haufe S, Müller KR. Single-trial analysis and classification of ERP components--a tutorial. Neuroimage. 56: 814-25. PMID 20600976 DOI: 10.1016/J.Neuroimage.2010.06.048 |
0.396 |
|
| 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 |
0.548 |
|
| 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 |
0.543 |
|
| 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 |
0.492 |
|
| 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 |
0.512 |
|
| 2010 |
Treder MS, Blankertz B. (C)overt attention and visual speller design in an ERP-based brain-computer interface. Behavioral and Brain Functions : Bbf. 6: 28. PMID 20509913 DOI: 10.1186/1744-9081-6-28 |
0.322 |
|
| 2010 |
Schreuder M, Blankertz B, Tangermann M. A new auditory multi-class brain-computer interface paradigm: spatial hearing as an informative cue. Plos One. 5: e9813. PMID 20368976 DOI: 10.1371/Journal.Pone.0009813 |
0.345 |
|
| 2010 |
Blankertz B, Sannelli C, Halder S, Hammer EM, Kübler A, Müller KR, Curio G, Dickhaus T. Neurophysiological predictor of SMR-based BCI performance. Neuroimage. 51: 1303-9. PMID 20303409 DOI: 10.1016/J.Neuroimage.2010.03.022 |
0.462 |
|
| 2010 |
Sannelli C, Dickhaus T, Halder S, Hammer EM, Müller KR, Blankertz B. On optimal channel configurations for SMR-based brain-computer interfaces. Brain Topography. 23: 186-93. PMID 20162347 DOI: 10.1007/S10548-010-0135-0 |
0.326 |
|
| 2010 |
Vidaurre C, Blankertz B. Towards a cure for BCI illiteracy. Brain Topography. 23: 194-8. PMID 19946737 DOI: 10.1007/S10548-009-0121-6 |
0.426 |
|
| 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 |
0.419 |
|
| 2009 |
Vidaurre C, Krämer N, Blankertz B, Schlögl A. Time Domain Parameters as a feature for EEG-based Brain-Computer Interfaces. Neural Networks : the Official Journal of the International Neural Network Society. 22: 1313-9. PMID 19660908 DOI: 10.1016/J.Neunet.2009.07.020 |
0.353 |
|
| 2009 |
Fazli S, Popescu F, Danóczy M, Blankertz B, Müller KR, Grozea C. Subject-independent mental state classification in single trials. Neural Networks : the Official Journal of the International Neural Network Society. 22: 1305-12. PMID 19560898 DOI: 10.1016/J.Neunet.2009.06.003 |
0.413 |
|
| 2009 |
Blankertz B, Vidaurre C. Towards a cure for BCI illiteracy: machine learning based co-adaptive learning Bmc Neuroscience. 10. DOI: 10.1186/1471-2202-10-S1-P85 |
0.4 |
|
| 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 |
0.465 |
|
| 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 |
0.485 |
|
| 2009 |
Ramsey L, Tangermann M, Haufe S, Blankertz B. Practicing fast-decision BCI using a "goalkeeper" paradigm Bmc Neuroscience. 10: P69. DOI: 10.1186/1471-2202-10-S1-P69 |
0.374 |
|
| 2009 |
Williamson J, Murray-Smith R, Blankertz B, Krauledat M, Müller KR. Designing for uncertain, asymmetric control: Interaction design for brain-computer interfaces International Journal of Human Computer Studies. 67: 827-841. DOI: 10.1016/J.Ijhcs.2009.05.009 |
0.396 |
|
| 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 |
0.42 |
|
| 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 |
0.505 |
|
| 2008 |
Blankertz B, Losch F, Krauledat M, Dornhege G, Curio G, Müller KR. The Berlin Brain--Computer Interface: accurate performance from first-session in BCI-naïve subjects. Ieee Transactions On Bio-Medical Engineering. 55: 2452-62. PMID 18838371 DOI: 10.1109/Tbme.2008.923152 |
0.431 |
|
| 2008 |
Krauledat M, Tangermann M, Blankertz B, Müller KR. Towards zero training for brain-computer interfacing. Plos One. 3: e2967. PMID 18698427 DOI: 10.1371/Journal.Pone.0002967 |
0.432 |
|
| 2008 |
Müller KR, Tangermann M, Dornhege G, Krauledat M, Curio G, Blankertz B. Machine learning for real-time single-trial EEG-analysis: from brain-computer interfacing to mental state monitoring. Journal of Neuroscience Methods. 167: 82-90. PMID 18031824 DOI: 10.1016/J.Jneumeth.2007.09.022 |
0.438 |
|
| 2008 |
Blankertz B, Tomioka R, Lemm S, Kawanabe M, Müller KR. Optimizing spatial filters for robust EEG single-trial analysis Ieee Signal Processing Magazine. 25: 41-56. DOI: 10.1109/Msp.2008.4408441 |
0.368 |
|
| 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 |
0.519 |
|
| 2007 |
Popescu F, Fazli S, Badower Y, Blankertz B, Müller KR. Single trial classification of motor imagination using 6 dry EEG electrodes. Plos One. 2: e637. PMID 17653264 DOI: 10.1371/Journal.Pone.0000637 |
0.452 |
|
| 2007 |
Blankertz B, Dornhege G, Krauledat M, Müller KR, Curio G. The non-invasive Berlin Brain-Computer Interface: fast acquisition of effective performance in untrained subjects. Neuroimage. 37: 539-50. PMID 17475513 DOI: 10.1016/J.Neuroimage.2007.01.051 |
0.462 |
|
| 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 |
0.528 |
|
| 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 |
0.6 |
|
| 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 |
0.579 |
|
| 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. |
0.468 |
|
| 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. |
0.488 |
|
| 2006 |
Dornhege G, Blankertz B, Krauledat M, Losch F, Curio G, Müller KR. Combined optimization of spatial and temporal filters for improving brain-computer interfacing. Ieee Transactions On Bio-Medical Engineering. 53: 2274-81. PMID 17073333 DOI: 10.1109/Tbme.2006.883649 |
0.429 |
|
| 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 |
0.594 |
|
| 2006 |
Blankertz B, Dornhege G, Krauledat M, Müller KR, Kunzmann V, Losch F, Curio G. The Berlin Brain-Computer Interface: EEG-based communication without subject training. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. 14: 147-52. PMID 16792281 DOI: 10.1109/Tnsre.2006.875557 |
0.417 |
|
| 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 |
0.607 |
|
| 2006 |
Muller K, Blankertz B. Toward noninvasive brain-computer interfaces Ieee Signal Processing Magazine. 23: 128-126. DOI: 10.1109/Msp.2006.1708426 |
0.562 |
|
| 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. |
0.52 |
|
| 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. |
0.355 |
|
| 2005 |
Lemm S, Blankertz B, Curio G, Müller KR. Spatio-spectral filters for improving the classification of single trial EEG. Ieee Transactions On Bio-Medical Engineering. 52: 1541-8. PMID 16189967 DOI: 10.1109/Tbme.2005.851521 |
0.412 |
|
| 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 |
0.555 |
|
| 2004 |
Blanchard G, Blankertz B. BCI Competition 2003--Data set IIa: spatial patterns of self-controlled brain rhythm modulations. Ieee Transactions On Bio-Medical Engineering. 51: 1062-6. PMID 15188879 DOI: 10.1109/Tbme.2004.826691 |
0.427 |
|
| 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 |
0.589 |
|
| 2004 |
Hinterberger T, Schmidt S, Neumann N, Mellinger J, Blankertz B, Curio G, Birbaumer N. Brain-computer communication and slow cortical potentials. Ieee Transactions On Bio-Medical Engineering. 51: 1011-8. PMID 15188872 DOI: 10.1109/Tbme.2004.827067 |
0.384 |
|
| 2004 |
Dornhege G, Blankertz B, Curio G, Müller KR. Boosting bit rates in noninvasive EEG single-trial classifications by feature combination and multiclass paradigms. Ieee Transactions On Bio-Medical Engineering. 51: 993-1002. PMID 15188870 DOI: 10.1109/Tbme.2004.827088 |
0.46 |
|
| 2004 |
Kohlmorgen J, Blankertz B. Bayesian classification of single-trial event-related potentials in eeg International Journal of Bifurcation and Chaos in Applied Sciences and Engineering. 14: 719-726. DOI: 10.1142/S0218127404009429 |
0.356 |
|
| 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 |
0.472 |
|
| 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 |
0.563 |
|
| 2003 |
Sajda P, Gerson A, Müller KR, Blankertz B, Parra L. A data analysis competition to evaluate machine learning algorithms for use in brain-computer interfaces. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. 11: 184-5. PMID 12899269 DOI: 10.1109/Tnsre.2003.814453 |
0.355 |
|
| 2003 |
Blankertz B, Dornhege G, Schäfer C, Krepki R, Kohlmorgen J, Müller KR, Kunzmann V, Losch F, Curio G. Boosting bit rates and error detection for the classification of fast-paced motor commands based on single-trial EEG analysis. Ieee Transactions On Neural Systems and Rehabilitation Engineering : a Publication of the Ieee Engineering in Medicine and Biology Society. 11: 127-31. PMID 12899253 DOI: 10.1109/Tnsre.2003.814456 |
0.384 |
|
| 2003 |
Losch F, Blankertz B, Müller K, Curio G. Lateralisiertes Bereitschaftspotenzial und Ereignis-korrelierte Desynchronisation perizentraler my/beta-Rhythmen bei rasch repetierten Fingerbewegungen im Kontext des Berlin Brain-Computer Interface (BBCI) Klinische Neurophysiologie. 34. DOI: 10.1055/S-2003-816484 |
0.312 |
|
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