Publications

Note that the PDFs available on this web page are the authors’ draft versions of the respective papers.
The authoratative versions must be retrieved from the publisher.

2021

Journal papers

Schultze-Kraft M, Jonany V, Binns TS, Soch J, Blankertz B, Haynes J, Suppress Me if You Can: Neurofeedback of the Readiness PotentialeNeuro
, Society for Neuroscience, 8(2), 2021 [url]

2020

Journal papers

Brandl S, Blankertz B, Motor Imagery under Distraction – An open access BCI dataset, Open AccessFront
Neuroscience, Frontiers, 14:967, 2020 [url]

2019

Journal papers

Jacucci G, Barral O, Daee P, Wenzel M, Serim B, Ruotsalo T, Pluchino P, Freeman J, Gamberini L, Kaski S, others, Integrating neurophysiologic relevance feedback in intent modeling for information retrievalJournal
of the Association for Information Science and Technology, Wiley Online Library, 2019 [url]

Meinel A, Castano-Candamil S, Blankertz B, Lotte F, Tangermann M, Characterizing Regularization Techniques for Spatial Filter Optimization in Oscillatory EEG Regression ProblemsNeuroinformatics
, Springer, 17(2):235-251, 2019 [url]

Neumann W, Turner RS, Blankertz B, Mitchell T, Kühn AA, Richardson RM, Toward Electrophysiology-based Intelligent Adaptive Deep Brain Stimulation for Movement DisordersNeurotherapeutics
, Springer, 16(1):105-118, 2019 [url]

Röhr V, Berner R, Lameu EL, Popovych OV, Yanchuk S, Frequency cluster formation and slow oscillations in neural populations with plasticity, Open AccessPloS
one, Public Library of Science San Francisco, CA USA, 14(11):e0225094, 2019 [url]

Sannelli C, Vidaurre C, Müller K, Blankertz B, A large scale screening study with a SMR-based BCI: Categorization of BCI users and differences in their SMR activityPLoS
ONE, Public Library of Science, 14(1):e0207351, 2019 [url]

Conference papers

Miklody D, Vauth L, Blankertz B, Alpha and theta oscillations as a measure for cognitive workload – why do they fail in certain settings or what do they really mean?
Neuroscience 2019, 2019

Miklody D, Blankertz B, Estimating absolute conductivities for head models through bEIT: the issues are not the amplitudes25th
Annual Meeting of the Organization for Human Brain Mapping (OHBM), 2019

2018

Journal papers

Gemignani J, Middell E, Barbour RL, Graber HL, Blankertz B, Improving the analysis of near-spectroscopy data with multivariate classification of hemodynamic patterns: a theoretical formulation and validationJ
Neural Eng, IOP Publishing, 15(4):045001, 2018 [url]

Golenia J, Wenzel M, Bogojeski M, Blankertz B, Implicit relevance feedback from electroencephalography and eye tracking in image search, open accessJ
Neural Eng, 15(2):026002, 2018 [url]

Nicolae I, Acqualagna L, Neagu G, Enhanced Classification Methods for the Depth of Cognitive Processing Depicted in Neural SignalsUniversity
Politehnica of Bucharest Scientific Bulletin Series C-Electrical Engineering and Computer Science, 80(1):135-146, 2018

Conference papers

Gemignani J, Bayet L, Kabdebon C, Blankertz B, Pugh KR, Aslin RN, Classifying the mental representation of word meaning in children with Multivariate Pattern Analysis of fNIRS2018
40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), 2018

2017

Journal papers

AliMardani F, Boostani R, Blankertz B, Weighted Spatial based Geometric Scheme as an Efficient Algorithm for Analyzing Single-Trial EEGs to Improve the cue-based BCI Classification, Advances in Cognitive Engineering Using Neural NetworksNeural
Networks, 92:69-76, 2017 [url]

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 decompositionIEEE
Transactions on Circuits and Systems for Video Technology, IEEE, 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, Elsevier, 121:29-37, 2017

Lühmann A v, Wabnitz H, Sander T, Müller K, M3BA: A Mobile, Modular, Multimodal Biosignal Acquisition Architecture for Miniaturized EEG-NIRS-Based Hybrid BCI and MonitoringIEEE
Transactions on Biomedical Engineering, IEEE, 64(6):1199-1210, 2017 [url]

Nicolae I, Acqualagna L, Blankertz B, Assessing the Depth of Cognitive Processing as the Basis for Potential User-State Adaptation, Open AccessFront
Neuroscience, 11:548, 2017 [url]

Shin J, Lühmann A v, Blankertz B, Kim D, Jeong J, Hwang H, Müller K, Open Access Dataset for EEG+ NIRS Single-Trial ClassificationIEEE
Transactions on Neural Systems and Rehabilitation Engineering, IEEE, 25(10):1735-1745, 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, Educational Publishing Foundation, 27(4):281, 2017

Wenzel MA, Bogojeski M, Blankertz B, Real-time inference of word relevance from electroencephalogram and eye gaze, Open AccessJ
Neural Eng, 14(5):056007, 2017 [url]

Book chapters

Schultze-Kraft M, Neumann M, Lundfall M, Wagner P, Birman D, Haynes J, Blankertz B, Predicting Motor Intentions with Closed-Loop Brain-Computer InterfacesBrain-Computer
Interface Research: A State-of-the-Art Summary 6, Springer, 2017 [url]

Conference papers

Lühmann A v, Soekadar S, Müller K, Blankertz B, Headgear for mobile neurotechnology: looking into alternatives for EEG and NIRS probesProceedings
of the 7th Graz Brain-Computer Interface Conference 2017, Verlag der Technischen Universität Graz, 2017 [url]

Miklody D, Bagdasarian MT, Blankertz B, A low-dimensional representation for individual head geometriesEngineering
in Medicine and Biology Society (EMBC), 2017 39th Annual International Conference of the IEEE, 2017

Miklody D, Dettmann T, Klinkenberg K, Mössmer P, Blankertz B, Multi-timescale spectra as features for continuous workload estimation in realistic settingsProc
. 7th Int. BCI Conf. Graz, 2017

2016

Journal papers

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, Open AccessPLoS
ONE, Public Library of Science, 11(2):1-19, 2016 [url]

AliMardani F, Boostani R, Blankertz B, Presenting a Spatial-Geometric EEG Feature to Classify BMD and Schizophrenic Patients, Open AccessInternational
Journal of Advances in Telecommunications, Electrotechnics, Signals and Systems, 5(2), 2016 [url]

Blankertz B, Acqualagna L, Dähne S, Haufe S, Schultze-Kraft M, Sturm I, Uscumlic M, Wenzel M, Curio G, Müller K, The Berlin Brain-Computer Interface: Progress Beyond Communication and Control, Open AccessFront
Neuroscience, 10:530, 2016 [url]

Brandl S, Frolich L, Höhne J, Müller K, Samek W, Brain-Computer Interfacing under Distraction: An Evaluation StudyJournal
of Neural Engineering, 13(5):056012, 2016

Chen Y, Atnafu AD, Schlattner I, Weldtsadik WT, Roh M, Kim H, Lee S, Blankertz B, Fazli S, A high-security EEG-based login system with RSVP stimuli and dry electrodes, in pressIEEE
Trans Inf Forensics Security, IEEE, 2016 [url]

Höhne J, Bartz D, Hebart MN, Müller K, Blankertz B, Analyzing neuroimaging data with subclasses: a shrinkage approachNeuroImage
, 124, Part A:740-751, 2016 [pdf] [url]

Samek W, Blythe DA, Curio G, Müller K, Blankertz B, Nikulin VV, Multiscale temporal neural dynamics predict performance in a complex sensorimotor taskNeuroImage
, Elsevier, 141:291-303, 2016

Sannelli C, Vidaurre C, Müller K, Blankertz B, Ensembles of adaptive spatial filters increase BCI performance: an online evaluationJ
Neural Eng, 13(4):046003, 2016 [pdf] [url]

Schultze-Kraft M, Birman D, Rusconi M, Allefeld C, Görgen K, Dähne S, Blankertz B, Haynes J, The point of no return in vetoing self-initiated movements, Open AccessProc
Natl Acad Sci U S A, 113(4):1080-1085, 2016 [url]

Schultze-Kraft M, Dähne S, Gugler M, Curio G, Blankertz B, Unsupervised classification of operator workload from brain signals, Open AccessJ
Neural Eng, 13(3):036008, 2016 [url]

Treder MS, Porbadnigk AK, Shahbazi F, Müller K, Blankertz B, The LDA beamformer: optimal estimation of ERP source time series using linear discriminant analysisNeuroImage
, 129:279-291, 2016 [url]

Uscumlic M, Blankertz B, Active visual search in non-stationary scenes: coping with temporal variability and uncertainty, Open AccessJ
Neural Eng, 13(1):016015, 2016 [url]

Wenzel MA, Schultze-Kraft R, Meinecke FC, Cardinaux F, Kemp T, Müller K, Curio G, Blankertz B, EEG-based usability assessment of 3D shutter glassesJ
Neural Eng, 13(1):016003, 2016 [url]

Wenzel MA, Golenia J, Blankertz B, Classification of eye fixation related potentials for variable stimulus saliency, Open AccessFront
Neuroscience, 10(23), 2016 [url]

Wenzel MA, Almeida I, Blankertz B, Is Neural Activity Detected by ERP-Based Brain-Computer Interfaces Task Specific?, Open AccessPLoS
ONE, Public Library of Science, 11(10):1-16, 2016 [url]

Book chapters

Miklody D, Uitterhoeve W, Heel D v, Klinkenberg K, Blankertz B, Maritime Cognitive Workload Assessment, open accessSymbiotic
Interaction: 5th International Workshop, Springer International Publishing, 9961:102-114, 2016 [url]

Naumann L, Schultze-Kraft M, Dähne S, Blankertz B, Prediction of Difficulty Levels in Video Games from Ongoing EEG, open accessSymbiotic
Interaction, Springer International Publishing, 9961, 2016 [url]

Conference papers

Brandl S, Müller K, Samek W, Classification of motor imagery with distractions6th
International BCI Meeting in Asilomar, 2016

Lühmann A v, Müller K, M3BA: New Technology for Mobile Hybrid BCIsProceedings
of the 6th International Brain-Computer Interface Meeting 2016, 2016

Lühmann A v, Wabnitz H, Sander T, Müller K, Miniaturized CW NIRS for integration and hybridization with mobile EEG / ECG / EMG and AccelerometerProceedings
of the Society for functional Near Infrared Spectroscopy Biennial Meeting 2016, 2016

Miklody D, Huang Y, Haufe S, Parra L, Automatic creation of fast, realistic boundary element head models22nd
Annual Meeting of the Organization for Human Brain Mapping (OHBM), 2016

Miklody D, Uitterhoeve W, Heel D v, Klinkenberg K, Blankertz B, Cognitive workload BCI in the maritime environment6th
International BCI Meeting in Asilomar, 2016 [url]

Naumann LB, Schultze-Kraft M, Dähne S, Blankertz B, Prediction of difficulty levels in video games from EEG6th
International BCI Meeting in Asilomar, 2016 [url]

Nicolae I, Acqualagna L, Blankertz B, Investigating Depth of Cognitive Processing in the Brain Dynamics of Oscillations, accepted6th
International BCI Meeting in Asilomar, 2016 [url]

PhD theses

Acqualagna L, Pushing the boundaries of Brain-Computer Interface technology: challenges in novel applications and large-scale studiesTechnische
Universität Berlin, 2016 [url]

Schultze-Kraft M, Brain-Computer Interfaces for Cognitive Neuroscience and Advanced Mental State AssessmentTechnische
Universität Berlin, 2016 [url]

Sturm I, Analyzing the perception of natural music with EEG and ECoGTechnische
Universität Berlin, 2016 [url]

2015

Journal papers

Acqualagna L, Bosse S, Porbadnigk AK, Curio G, Müller K, Wiegand T, Blankertz B, EEG-based classification of video quality perception using steady state visual evoked potentials (SSVEPs)
J Neural Eng, 12(2):026012, 2015 [url]

Brunner C, Birbaumer N, Blankertz B, Guger C, Kübler A, Mattia D, R. Millán J d, Miralles F, Nijholt A, Opisso E, Ramsey N, Salomon P, Müller-Putz GR, BNCI Horizon 2020: Towards a Roadmap for the BCI Community, Open AccessBrain-Computer
Interfaces, 2(1):1-10, 2015 [url]

Castano-Candamil JS, Höhne J, Martinez-Vargas J, An X, Castellanos-Dominguez G, Haufe S, Solving the EEG Inverse Problem based on Space-Time-Frequency Structured Sparsity ConstraintsNeuroImage
, 118:598-612, 2015 [url]

Fazli S, Dähne S, Samek W, Biessmann F, Müller K, Learning from more than one data source: data fusion techniques for sensorimotor rhythm-based Brain-Computer InterfacesProceedings
of the IEEE, 103(6):891-906, 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, Open AccessScientific
Reports, 5:15890, 2015 [url]

Lühmann A v, Herff C, Heger D, Schultz T, Towards a wireless open source instrument: functional Near-Infrared Spectroscopy in mobile neuroergonomics and BCI applicationsFrontiers
Human Neurosci, 9(617), 2015 [url]

Müller-Putz G, Leeb R, Tangermann M, Höhne J, Kübler A, Cincotti F, Mattia D, Rupp R, Müller K, Millan J, Towards Noninvasive Hybrid Brain Computer Interfaces: Framework, Practice, Clinical Application, and BeyondProceedings
of the IEEE, PP(99):1-18, 2015 [url]

Seoane LF, Gabler S, Blankertz B, Images from the mind: BCI image evolution based on rapid serial visual presentation of polygon primitivesBrain-Computer
Interfaces, 2(1):40-56, 2015 [url]

Sturm I, Dähne S, Blankertz B, Curio G, Multi-Variate EEG Analysis as a Novel Tool to Examine Brain Responses to Naturalistic Music Stimuli, Open AccessPLoS
ONE, 10:e0141281, 2015 [url]

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 analysisPsychomusicology
: Music, Mind, and Brain, 25:366-379, 2015 [url]

Venthur B, Dähne S, Höhne J, Heller H, Blankertz B, Wyrm: A Brain-Computer Interface Toolbox in Python, Open AccessJournal
of Neuroinformatics, Springer, 13(4):471-486, 2015 [url]

Book chapters

Gamberini L, Spagnolli A, Blankertz B, Kaski S, Freeman J, Acqualagna L, Barral O, Bellio M, Chech L, Eugster M, others, Developing a Symbiotic System for Scientific Information Seeking: The MindSee ProjectSymbiotic
Interaction, Springer, 2015 [url]

Golenia J, Wenzel M, Blankertz B, Live Demonstrator of EEG and Eye-Tracking Input for Disambiguation of Image Search ResultsSymbiotic
Interaction, Springer International Publishing, 9359:81-86, 2015 [url]

Nicolae I, Acqualagna L, Blankertz B, Tapping Neural Correlates of the Depth of Cognitive Processing for Improving Human Computer InteractionSymbiotic
Interaction, Springer International Publishing, 9359:126-131, 2015 [url]

Uscumlic M, Hägele M, Blankertz B, EEG Correlates of Visual Recognition While Overtly Tracking a Moving ObjectSymbiotic
Interaction, Springer International Publishing, 9359:166-171, 2015 [url]

Wenzel M, Moreira C, Lungu I, Bogojeski M, Blankertz B, Neural Responses to Abstract and Linguistic Stimuli with Variable Recognition LatencySymbiotic
Interaction, Springer International Publishing, 9359:172-178, 2015 [url]

Conference papers

Acqualagna L, Blankertz B, Neural Correlates of Relevant Stimuli Processing for Brain Computer InterfacesEngineering
in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE, 2015 [url]

Brandl S, Höhne J, Müller K, Samek W, Bringing BCI into everyday life: Motor imagery in a pseudo realistic environmentProceedings
of the 2015 International IEEE Conference on Neural Engineering (NER), 2015

Frolich L, Winkler I, Müller K, Samek W, Investigating effects of different artefact types on Motor Imagery BCIConf
Proc IEEE Eng Med Biol Soc (EMBC), 2015

Miklody D, Höhne J, Impedance based automatic electrode positioning37th
Annual International Conference of the IEEE Engineering in Medicine and Bi ology Society (EMBC), 2015

Nicolae I, Acqualagna L, Blankertz B, Neural indicators of the depth of cognitive processing for user-adaptive neurotechnological applicationsEngineering
in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE, 2015

Samek W, Müller K, Tacking noise, artifacts and nonstationarity in BCI with robust divergencesProceedings
of the European Signal Processing Conference (EUSIPCO), 2015

Uscumlic M, Blankertz B, Animation Effects Challenge Intention Decoding from EEG in Active Visual SearchEngineering
in Medicine and Biology Society (EMBC), 2015 37th Annual International Conference of the IEEE, 2015 [url]

2014

Journal papers

An X, Höhne J, Ming D, Blankertz B, Exploring Combinations of Auditory and Visual Stimuli for Gaze-Independent Brain-Computer Interfaces, Open AccessPLoS
ONE, Public Library of Science, 9(10):e111070, 2014 [url]

Dähne S, Meinecke FC, Haufe S, Höhne J, Tangermann M, Müller K, Nikulin VV, SPoC: a novel framework for relating the amplitude of neuronal oscillations to behaviorally relevant parametersNeuroImage
, 86(0):111-122, 2014 [url]

Höhne J, Tangermann M, Towards User-Friendly Spelling with an Auditory Brain-Computer Interface: The CharStreamer Paradigm, Open AccessPLoS
ONE, Public Library of Science, 9(6):e98322, 2014 [url]

Höhne J, Holz EM, Staiger-Sälzer P, Müller K, Kübler A, Tangermann M, Motor Imagery for Severely Motor-Impaired Patients: Evidence for Brain-Computer Interfacing as Superior Control Solution, Open AccessPLoS
ONE, Public Library of Science, 9(8):e104854, 2014 [url]

Habermehl C, Steinbrink J, Müller K, Haufe S, Optimizing the regularization for image reconstruction of cerebral diffuse optical tomographyJournal
of Biomedical Optics, 19(9):096006, 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), Open AccessFrontiers
Human Neurosci, 8(574), 2014 [url]

Haufe S, Kim J, Kim I, Sonnleitner A, Schrauf M, Curio G, Blankertz B, Electrophysiology-based detection of emergency braking intention in real-world drivingJ
Neural Eng, 11(5):056011, 2014 [url]

Haufe S, Meinecke F, Görgen K, Dähne S, Haynes J, Blankertz B, Biessmann F, On the interpretation of weight vectors of linear models in multivariate neuroimaging, Neuroimage single best paper of 2014 Award.
NeuroImage, 87:96-110, 2014 [url]

Kawanabe M, Samek W, Müller K, Vidaurre C, Robust Common Spatial filters with a Maxmin ApproachNeural
Computation, 26(2):1-28, 2014 [url]

Kim I, Kim J, Haufe S, Lee S, Detection of Braking Intention in Diverse Situations during Simulated Driving based on EEG Feature Combination, In pressJ
Neural Eng, 2014

Kindermans P, Tangermann M, Müller K, Schrauwen B, Integrating dynamic stopping, transfer learning and language models in an adaptive zero-training ERP spellerJ
Neural Eng, 11(3):035005, 2014 [url]

Lorenz R, Pascual J, Blankertz B, Vidaurre C, Towards a holistic assessment of the user experience with hybrid BCIsJ
Neural Eng, IOP Publishing, 11(3):035007, 2014 [url]

Martel A, Dähne S, Blankertz B, EEG Predictors of Covert Vigilant AttentionJ
Neural Eng, IOP Publishing, 11(3):035009, 2014 [url]

Samek W, Kawanabe M, Müller K, Divergence-based Framework for Common Spatial Patterns AlgorithmsBiomedical
Engineering, IEEE Reviews in, 7:50-72, 2014 [url]

Sonnleitner A, Treder MS, Simon M, Willmann S, Ewald A, Buchner A, Schrauf M, Analysis and Single-Trial Classification of EEG Alpha Spindles on rolonged Brake Reaction Times During Auditory Distraction in a Real Road-Driving StudyAccid
Anal Prev, 62:110-118, 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 songFrontiers
in Human Neuroscience, 8:798, 2014 [url]

Suk H, Fazli S, Mehnert J, Müller K, Lee S, Predicting BCI subject performance using probabilistic spatio-temporal filters, Open AccessPLoS
ONE, Public Library of Science, 9(2):e87056, 2014

Treder MS, Purwins H, Miklody D, Sturm I, Blankertz B, Decoding auditory attention to instruments in polyphonic music using single-trial EEG classificationJ
Neural Eng, 11:026009, 2014 [url]

Conference papers

Höhne J, Blankertz B, Müller K, Bartz D, Mean shrinkage improves the classification of ERP signals by exploiting additional label informationProceedings
of the 2014 International Workshop on Pattern Recognition in Neuroimaging, 2014 [pdf]

Samek W, Kawanabe M, Robust Common Spatial Patterns by Minimum Divergence Covariance EstimatorAcoustics
, Speech and Signal Processing (ICASSP), 2014 IEEE International Conference on, 2014 [url]

Samek W, Müller K, Information Geometry meets BCI – Spatial filtering using divergencesBrain-Computer
Interface (BCI), 2014 International Winter Workshop on, 2014

2013

Journal papers

Acqualagna L, Blankertz B, Gaze-Independent BCI-Spelling Using Rapid Visual Serial Presentation (RSVP)
Clin Neurophysiol, 124(5):901-908, 2013 [url]

Dähne S, Biessman F, Meinecke FC, Mehnert J, Fazli S, Müller K, Integration of Multivariate Data Streams With Bandpower SignalsIEEE
Transactions on Multimedia, 15(5):1001-1013, 2013 [url]

Ewald A, Shabhazi F, Nolte G, Identifying causal networks of neuronal sources from EEG/MEG data with the phase slope index: a simulation studyBiomed
Tech, 22:1 – 14, 2013

Küber A, Mattia D, Rupp R, Tangermann M, Facing the challenge: Bringing brain-computer interfaces to end-usersArtificial
Intelligence in Medicine, 59(2):55-60, 2013

Porbadnigk AK, Treder MS, Blankertz B, Antons J, Schleicher R, Möller S, Curio G, Müller K, Single-trial analysis of the neural correlates of speech quality perceptionJ
Neural Eng, 10(5):056003, 2013

Samek W, Meinecke FC, Müller K, Transferring Subspaces Between Subjects in Brain-Computer InterfacingIEEE
Trans Biomed Eng, 60(8):2289-2298, 2013

Schreuder M, Höhne J, Blankertz B, Haufe S, Dickhaus T, Tangermann M, Optimizing ERP Based BCI – a Systematic Evaluation of Dynamic Stopping MethodsJ
Neural Eng, 10(3):036025, 2013

Schreuder M, Riccio A, Risetti M, Dähne S, Ramsey A, Williamson J, Mattia D, Tangermann M, User-Centered Design in BCI – a Case StudyArtificial
Intelligence in Medicine, 59(2):71-80, 2013 [url]

Vidaurre C, Pascual J, Ramos-Murguialday A, Lorenz R, Blankertz B, Birbaumer N, Müller K, Neuromuscular electrical stimulation induced brain patterns to decode motor imageryClin
Neurophysiol, 124(1):1824-1834, 2013 [url]

Conference papers

Acqualagna L, Treder MS, Blankertz B, Chroma Speller: Isotropic visual stimuli for truly gaze-independent spellingNeural
Engineering (NER), 2013 6th International IEEE/EMBS Conference on, 2013 [pdf] [url]

Holz EM, Zickler C, Riccio A, Höhne J, Cincotti F, Tangermann M, Halder S, Mattia D, Kübler A, Evaluation of Four Different BCI Prototypes by Severely Motor-Restricted End-UsersProceedings
of the Fifth International Brain-Computer Interface Meeting 2013, Verlag der Technischen Universität Graz, 2013 [pdf]

Müller-Putz GR, Schreuder M, Tangermann M, Leeb R, R. Millán J d, The hybrid Brain-Computer Interface: a bridge to assistive technology?
Proceedings BMT (Biomedical Engineering) 2013 – Tripartite Conference of the German, Swiss and Austrian Society for Biomedical Engineering, Walter de Gruyter, 58(SI-1), 2013

Samek W, Binder A, Müller K, Multiple Kernel Learning for Brain-Computer InterfacingConf
Proc IEEE Eng Med Biol Soc (EMBC), 2013 [url]

Samek W, Blythe D, Müller K, Kawanabe M, Robust Spatial Filtering with Beta DivergenceAdvances
in Neural Information Processing Systems 26, MIT Press, 2013 [pdf] [url]

Tangermann M, Kindermans P, Schreuder M, Schrauwen B, Müller K, Zero Training for BCI – Reality for BCI Systems Based on Event-Related PotentialsProceedings
BMT (Biomedical Engineering) 2013 – Three-country conference of the German, Swiss and Austrian Society for Biomedical Engineering, Walter de Gruyter, 58(SI-1), 2013 [url]

Winkler I, Waldburger E, Haufe S, Tangermann M, On Classifying Artifactual Independent Components: Generalization Ability to Different Electrode SetupsProceedings
of the Fifth International Brain-Computer Interface Meeting 2013, Verlag der Technischen Universität Graz, 2013 [pdf]

2012

Journal papers

Erp J v, Lotte F, Tangermann M, Brain-computer interfaces: beyond medical applicationsComputer
, Published by the IEEE Computer Society, 2012 [pdf] [url]

Ewald A, Marzetti L, Zappasodi F, Meinecke FC, Nolte G, Estimating true brain connectivity from EEG/MEG data invariant to linear and static transformations in sensor spaceNeuroImage
, 60(1):476 – 488, 2012 [url]

Fazli S, Mehnert J, Steinbrink J, Curio G, Villringer A, Müller K, Blankertz B, Enhanced performance by a Hybrid NIRS-EEG Brain Computer Interface, Open AccessNeuroImage
, 59(1):519-529, 2012 [url]

Fedele T, Scheer HJ, Waterstraat G, Telenczuk B, Burghoff M, Curio G, Towards non-invasive multi-unit spike recordings: Mapping 1kHz EEG signals over human somatosensory cortex, in pressClin
Neurophysiol, 2012 [url]

Höhne J, Krenzlin K, Dähne S, Tangermann M, Natural Stimuli improve Auditory BCIs with respect to Ergonomics and PerformanceJ
Neural Eng, 9(4):045003, 2012 [pdf] [url]

Hammer EM, Halder S, Blankertz B, Sannelli C, Dickhaus T, Kleih S, Müller K, Kübler A, Psychological predictors of SMR-BCI performanceBiol
Psychol, 89(1):80-86, 2012 [url]

Haufe S, Nikulin VV, Müller K, Nolte G, A critical assessment of connectivity measures for EEG data: a simulation studyNeuroImage
, 64:120-133, 2012 [pdf] [url]

Maeder CL, Sannelli C, Haufe S, Blankertz B, Prestimulus sensorimotor rhythms influence brain-computer interface classification performanceIEEE
Trans Neural Syst Rehabil Eng, 20:653-662, 2012 [url]

Onose G, Grozea C, Anghelescu A, Daia C, Sinescu C, Ciurea A, Spircu T, Mirea A, Andone I, Spânu A, Popescu C, Mihaescu S, Fazli S, Danoczy M, Popescu F, On the feasibility of using motor imagery EEG-based brain-computer interface in chronic tetraplegics for assistive robotic arm control: a clinical test and long-term post-trial follow-up, open accessSpinal
Cord, Nature Publishing Group, 2012 [url]

Samek W, Vidaurre C, Müller K, Kawanabe M, Stationary Common Spatial Patterns for Brain-Computer InterfacingJournal
of Neural Engineering, 9(2):026013, 2012 [url]

Schaeff S, Treder MS, Venthur B, Blankertz B, Exploring motion VEPs for gaze-independent communicationJ
Neural Eng, 9(4):045006, 2012 [pdf] [url]

Schmidt NM, Blankertz B, Treder MS, Online detection of error-related potentials boosts the performance of mental typewritersBMC
Neurosci, 13:19, 2012 [url]

Scholler S, Bosse S, Treder MS, Blankertz B, Curio G, Müller K, Wiegand T, Towards a Direct Measure of Video Quality Perception using EEGIEEE
Trans Image Process, 21(5):2619-2629, 2012 [pdf] [url]

Tangermann M, Müller K, Aertsen A, Birbaumer N, Braun C, Brunner C, Leeb R, Mehring C, Miller K, Müller-Putz G, Nolte G, Pfurtscheller G, Preissl H, Schalk G, Schlögl A, Vidaurre C, Waldert S, Blankertz B, Review of the BCI Competition IV, Open AccessFront
Neuroscience, 6(55), 2012 [url]

Thurlings ME, Brouwer AM, Van Erp JB, Blankertz B, Werkhoven PJ, Does bimodal stimulus presentation increase ERP components usable in BCIs?
J Neural Eng, 9(4):045005, 2012 [url]

Thurlings ME, Erp JBv, Brouwer A, Blankertz B, Werkhoven P, Control-Display Mapping in Brain-Computer InterfacesErgonomics
, 55(5):564-580, 2012 [pdf] [url]

Treder MS, Special section on gaze-independent brain-computer interfaces (Editorial)
J Neural Eng, 9(4):040201, 2012

Waterstraat G, Telenczuk B, Burghoff M, Fedele T, Scheer HJ, Curio G, Are high-frequency (600Hz) oscillations in human somatosensory evoked potentials due to phase-resetting phenomena?, in pressClin
Neurophysiol, 2012 [url]

Book chapters

Blankertz B, Tangermann M, Müller K, BCI applications for the general populationBrain-Computer
Interfaces – Principles and Practice, Oxford University Press, 2012

Haufe S, Nikulin V, Nolte G, Alleviating the Influence of Weak Data Asymmetries on Granger-Causal Analyses, 10.1007/978-3-642-28551-6_4Latent
Variable Analysis and Signal Separation, Springer Berlin / Heidelberg, 7191:25-33, 2012 [pdf] [url]

Quek M, Höhne J, Murray-Smith R, Tangermann M, Designing future BCIs: Beyond the bit rateTowards
Practical Brain-Computer Interfaces, Springer, 2012

Conference papers

Dähne S, Meinecke F, Haufe S, Höhne J, Tangermann M, Nikulin V, Müller K, Multi-variate correlation of power spectral densityAnnual
Meeting of the Organization for Human Brain Mapping (OHBM), 2012, 2012

Fazli S, Mehnert J, Steinbrink J, Blankertz B, Using NIRS as a predictor for EEG-based BCI performanceConf
Proc IEEE Eng Med Biol Soc, 2012:4911-4914, 2012 [pdf]

Höhne J, Tangermann M, How stimulation speed affects Event-Related Potentials and BCI performanceConf
Proc IEEE Eng Med Biol Soc, 2012:1802-1805, 2012 [pdf]

Samek W, Müller K, Kawanabe M, Vidaurre C, Brain-Computer Interfacing in Discriminative and Stationary SubspacesConf
Proc IEEE Eng Med Biol Soc (EMBC), 2012 [url]

Sannelli C, Vidaurre C, Müller K, Blankertz B, Common Spatial Pattern Patches: online evaluation on naive usersConf
Proc IEEE Eng Med Biol Soc, 2012, 2012 [pdf]

Schreuder M, Thurlings ME, Brouwer A, Erp JBv, Tangermann M, Exploring the use of direct feedback in ERP-based BCIConf
Proc IEEE Eng Med Biol Soc, 2012:6707-6710, 2012

Tangermann M, Höhne J, Stecher H, Schreuder M, No Surprise – Fixed Sequence Event-Related Potentials for Brain-Computer InterfacesEngineering
in Medicine and Biology Society (EMBC), 2012 Annual International Conference of the IEEE, 2012 [pdf]

Venthur B, Blankertz B, Mushu, a free- and open source BCI signal acquisition, written in PythonConf
Proc IEEE Eng Med Biol Soc, 2012, 2012 [pdf]

2011

Journal papers

Bayraktaroglu Z, Carlowitz-Ghori K v, Losch F, Nolte G, Curio G, Nikulin VV, Optimal imaging of cortico-muscular coherence through a novel regression technique based on multi-channel EEG and un-rectified EMGNeuroImage
, 57:1059-1067, 2011 [url]

Blankertz B, Lemm S, Treder MS, Haufe S, Müller K, Single-trial analysis and classification of ERP components – a tutorialNeuroImage
, 56:814-825, 2011 [pdf] [url]

Boland D, Quek M, Tangermann M, Williamson J, Murray-Smith R, Using Simulated Input into Brain-Computer Interfaces for User-Centred DesignInt
J Bioelectromagnetism, 13(2):86-87, 2011 [url]

Carlowitz-Ghori KMv, Hohlefeld FU, Bayraktaroglu Z, Curio G, Nikulin VV, Effect of complete stimulus predictability on P3 and N2 components: an electroencephalographic studyNeuroreport
, 22:459-463, 2011 [url]

Dähne S, Müller K, , Tangermann M, Slow Feature Analysis as a Potential Preprocessing Tool in BCIInt
J Bioelectromagnetism, 13(2):100-101, 2011 [url]

Fazli S, Danóczy M, Schelldorfer J, Müller K, L1-penalized Linear Mixed-Effects Models for high dimensional data with application to BCINeuroImage
, 56(4):2100 – 2108, 2011 [pdf] [url]

Grozea C, Voinescu C, Fazli S, Bristle-sensors – Low-cost Flexible Passive Dry EEG Electrodes for Neurofeedback and BCI ApplicationsJ
Neural Eng, 8:025008, 2011 [pdf]

Höhne J, Schreuder M, Blankertz B, Müller K, Tangermann M, Novel Paradigms for Auditory ERP Spellers with Spatial Hearing: Two Online StudiesInt
J Bioelectromagnetism, 13(2):96-97, 2011 [url]

Höhne J, Schreuder M, Blankertz B, Tangermann M, A novel 9-class auditory ERP paradigm driving a predictive text entry system, Open AccessFront
Neuroscience, 5:99, 2011 [url]

Haufe S, Tomioka R, Dickhaus T, Sannelli C, Blankertz B, Nolte G, Müller K, Large-Scale EEG/MEG Source Localization with Spatial FlexibilityNeuroImage
, 54:851-859, 2011 [pdf] [url]

Haufe S, Treder MS, Gugler MF, Sagebaum M, Curio G, Blankertz B, EEG potentials predict upcoming emergency brakings during simulated drivingJ
Neural Eng, 8:056001, 2011 [url]

Hohlefeld FU, Nikulin VV, Curio G, Covert movements trigger repetition suppression of electroencephalography in sensorimotor cortexNeuroreport
, 22:141-145, 2011 [url]

Hohlefeld FU, Nikulin VV, Curio G, Visual stimuli evoke rapid activation (120 ms) of sensorimotor cortex for overt but not for covert movementsBrain
Res, 1368:185-195, 2011 [url]

Kleih S, Riccio A, Mattia D, Schreuder M, Tangermann M, Zickler C, Kübler A, Motivation affects performance in a P300-Brain-Computer InterfaceInt
J Bioelectromagnetism, 13(1):46-47, 2011 [url]

Lemm S, Blankertz B, Dickhaus T, Müller K, Introduction to machine learning for brain imagingNeuroImage
, 56:387-399, 2011 [pdf] [url]

Müller-Putz GR, Breitwieser C, Cincotti F, Leeb R, Schreuder M, Leotta F, Tavella M, Bianchi L, Kreilinger A, Ramsay A, Rohm M, Sagebaum M, Tonin L, Neuper C, R. Millán J d, Tools for Brain-Computer Interaction: a general concept for a hybrid BCI (hBCI), Open AccessFront
Neuroinformatics, 5(0), 2011 [url]

Müller-Putz GR, Breitwieser C, Tangermann M, Schreuder M, Tavella M, Leeb R, Cincotti F, Leotta F, Neuper C, Tobi hybrid BCI: principle of a new assistive methodInt
J Bioelectromagnetism, 13(3):144-145, 2011 [url]

Nikulin VV, Nolte G, Curio G, A novel method for reliable and fast extraction of neuronal EEG/MEG oscillations on the basis of spatio-spectral decompositionNeuroImage
, 55:1528-1535, 2011 [url]

Sannelli C, Vidaurre C, Müller K, Blankertz B, Common Spatial Pattern Patches – an Optimized Filter Ensemble for Adaptive Brain-Computer InterfacesJ
Neural Eng, 8(2):025012 (7pp), 2011 [url]

Scheer HJ, Fedele T, Curio G, Burghoff M, Extension of non-invasive EEG into the kHz range for evoked thalamocortical activity by means of very low noise amplifiersPhysiol
Meas, 32(12):N73-79, 2011 [url]

Schreuder M, Riccio A, Cincotti F, Risetti M, Blankertz B, Tangermann M, Mattia D, Putting AMUSE to work: an end-user studyInt
J Bioelectromagnetism, 13(3):139-140, 2011 [url]

Schreuder M, Rost T, Tangermann M, Listen, you are writing! Speeding up online spelling with a dynamic auditory BCI, Open AccessFront
Neuroscience, 5(112), 2011 [url]

Stepien M, Conradi J, Waterstraat G, Hohlefeld FU, Curio G, Nikulin VV, Event-related desynchronization of sensorimotor EEG rhythms in hemiparetic patients with acute strokeNeurosci
Lett, 488:17-21, 2011 [url]

Tangermann M, Schreuder M, Dähne S, Höhne J, Regler S, Ramsay A, Quek M, Williamson J, Murray-Smith R, Optimized Stimulation Events for a Visual ERP BCIInt
J Bioelectromagnetism, 13(3):119-120, 2011 [url]

Treder MS, Bahramisharif A, Schmidt NM, Gerven M v, Blankertz B, Brain-Computer Interfacing using Modulations of Alpha Activity Induced by Covert Shifts of AttentionJ
Neuroeng Rehabil, 8:24, 2011 [url]

Treder MS, Schmidt NM, Blankertz B, Gaze-independent brain-computer interfaces based on covert attention and feature attention, Open AccessJ
Neural Eng, 8(6):066003, 2011 [url]

Treder MS, Schmidt NM, Blankertz B, Gaze-independent visual brain-computer interfaces, Open AccessInt
J Bioelectromagnetism, 13(1):11-12, 2011 [url]

Vidaurre C, Kawanabe M, Bünau P v, Blankertz B, Müller K, Toward Unsupervised Adaptation of LDA for Brain-Computer InterfacesIEEE
Trans Biomed Eng, 58(3):587 -597, 2011 [url]

Vidaurre C, Sannelli C, Müller K, Blankertz B, Machine-Learning Based Co-adaptive CalibrationNeural
Comput, 23(3):791-816, 2011 [pdf] [url]

Vidaurre C, Sannelli C, Müller K, Blankertz B, Co-adaptive calibration to improve BCI efficiencyJ
Neural Eng, 8(2):025009 (8pp), 2011 [url]

Winkler I, Haufe S, Tangermann M, Automatic Classification of Artifactual ICA-Components for Artifact Removal in EEG SignalsBehav
Brain Funct, 7(1):30, 2011 [url]

Winkler I, Tangermann M, Artifact-Insensitivity of CSP in Motor Imagery BCIInt
J Bioelectromagnetism, 13(2):72-73, 2011 [url]

Book chapters

Wojcikiewicz W, Vidaurre C, Kawanabe M, Improving Classification Performance of BCIs by Using Stationary Common Spatial Patterns and Unsupervised Bias AdaptationHybrid
Artificial Intelligent Systems, Springer Berlin / Heidelberg, 6679:34-41, 2011 [url]

Conference papers

Acqualagna L, Blankertz B, A gaze independent speller based on rapid serial visual presentationConf
Proc IEEE Eng Med Biol Soc, 2011:4560-4563, 2011 [pdf]

Arndt S, Antons J, Schleicher R, Moller S, Scholler S, Curio G, A Physiological Approach to Determine Video Quality2011
IEEE International Symposium on Multimedia (ISM), 2011 [url]

Blythe D, Samek W, Müller K, Stationary Linear Discriminant Analysis – Classifying Non-Stationary Features in Brain-Computer Interfacing, Conference Abstract: Bernstein Conference on Computational Neuroscience (BCCN ’11)
Frontiers in Neuroscience, 2011 [url]

Cho W, Vidaurre C, Hoffman U, Birbaumer N, Ramos-Murguialday A, Afferent and efferent activity control in the design of brain computer interfaces for motor rehabilitationConf
Proc IEEE Eng Med Biol Soc, 2011:7310-7315, 2011 [url]

Dähne S, Höhne J, Schreuder M, Tangermann M, Slow Feature Analysis – A Tool for Extraction of Discriminating Event-Related Potentials in Brain-Computer InterfacesArtificial
Neural Networks and Machine Learning – ICANN 2011, Springer Berlin / Heidelberg, 6791:36-43, 2011 [url]

Dähne S, Höhne J, Schreuder M, Tangermann M, Band Power Features Correlate With Performance In Auditory Brain-Computer InterfaceFront
. Hum. Neurosci. Conference Abstract: XI International Conference on Cognitive Neuroscience (ICON XI), 2011 [url]

Dähne S, Höhne J, Tangermann M, Adaptive Classification Improves Control Performance In ERP-Based BCIsProceedings
of the 5th International BCI Conference, 2011 [url]

Fazli S, Danóczy M, Schelldorfer J, Müller K, $ll_1$-Penalized Linear Mixed-Effects Models for BCIArtificial
Neural Networks and Machine Learning-ICANN 2011, Springer-Verlag, 2011

Höhne J, Tangermann M, Natural stimuli for auditory BCINeurosc
Let, 500(Supplement 1):e11, 2011 [pdf] [url]

Höhne J, Tangermann M, Stimulation Speed Boosts Auditory BCI PerformanceProc
. 5th Int. BCI Conf. Graz, Verlag der Technischen Universität Graz, 2011 [url]

Pascual J, Ramos A, Vidaurre C, Classifying motor imagery with FES induced EEG patternsNeurosci
Lett, 500(Supplement 1):e48, 2011 [url]

Porbadnigk AK, Antons J, Treder MS, Blankertz B, Schleicher R, Moeller S, Curio G, ERP assessment of word processing under broadcast bit rate limitationsNeurosci
Lett, 500, suppl. 1:e49, 2011 [pdf] [url]

Porbadnigk AK, Scholler S, Blankertz B, Ritz A, Born M, Scholl R, Müller K, Curio G, Treder MS, Revealing the Neural Response to Imperceptible Peripheral Flicker with Machine LearningConf
Proc IEEE Eng Med Biol Soc, 2011:3692-3695, 2011 [pdf]

Samek W, Kawanabe M, Vidaurre C, Group-wise Stationary Subspace Analysis – A novel method for studying non-stationaritiesProc
. 5th Int. BCI Conf. Graz, Verlag der Technischen Universität Graz, 2011

Schaeff S, Treder MS, Venthur B, Blankertz B, Motion-based ERP spellers in a covert attention paradigmNeurosci
Lett, 500(Supplement 1):e11, 2011 [pdf] [url]

Schmidt N, Blankertz B, Treder MS, Online detection of error potentials increases information throughput in a brain-computer interfaceNeurosci
Lett, 500(Supplement 1):e19 – e20, 2011 [url]

Schreuder M, Höhne J, Treder MS, Blankertz B, Tangermann M, Performance Optimization of ERP-Based BCIs Using Dynamic StoppingConf
Proc IEEE Eng Med Biol Soc, 2011 [pdf]

Tangermann M, Höhne J, Schreuder M, Sagebaum M, Blankertz B, Ramsay A, Murray-Smith R, Data Driven Neuroergonomic Optimization of BCI StimuliProc
. 5th Int. BCI Conf. Graz, 2011

Wojcikiewicz W, Vidaurre C, Kawanabe M, Stationary Common Spatial Patterns: Towards robust classification of non-stationary EEG signalsAcoustics
, Speech and Signal Processing (ICASSP), 2011 IEEE International Conference on, 2011 [url]

PhD theses

Biessmann F, Data-driven analysis for multimodal neuroimagingBerlin
Institute of Technology, 2011 [url]

Fazli S, Advances in Neurotechnology for Brain Computer InterfacesTechnische
Universität Berlin, Faculty IV – Electrical Engineering and Computer Science, 2011 [pdf]

Haufe S, Towards EEG source connectivity analysisBerlin
Institute of Technology, 2011 [pdf] [url]

2010

Journal papers

Blankertz B, Sannelli C, Halder S, Hammer EM, Kübler A, Müller K, Curio G, Dickhaus T, Neurophysiological Predictor of SMR-Based BCI PerformanceNeuroImage
, 51(4):1303-1309, 2010 [pdf] [url]

Blankertz B, Tangermann M, Vidaurre C, Fazli S, Sannelli C, Haufe S, Maeder C, Ramsey LE, Sturm I, Curio G, Müller K, The Berlin Brain-Computer Interface: Non-Medical Uses of BCI Technology, Open AccessFront
Neuroscience, 4:198, 2010 [url]

Haufe S, Nolte G, Müller K, Krämer N, Sparse Causal Discovery in Multivariate Time SeriesJMLR
W&CP, 6:97-106, 2010 [pdf]

Haufe S, Tomioka R, Nolte G, Müller K, Kawanabe M, Modeling sparse connectivity between underlying brain sources for EEG/MEGIEEE
Trans Biomed Eng, 57(8):1954 – 1963, 2010 [pdf] [url]

Nikulin VV, Kegeles J, Curio G, Miniaturized electroencephalographic scalp electrode for optimal wearing comfortClin
Neurophysiol, 121:1007-1014, 2010 [url]

Nikulin VV, Linkenkaer-Hansen K, Nolte G, Curio G, Non-zero mean and asymmetry of neuronal oscillations have different implications for evoked responses.
Clin Neurophysiol, 121(2):186-93, 2010 [url]

Nolte G, Müller K, Localizing and estimating causal relations of interacting brain rhythms, Open AccessFrontiers
Human Neurosci, 4:209, 2010 [url]

R. Millán J d, Rupp R, Müller-Putz G, Murray-Smith R, Giugliemma C, Tangermann M, Vidaurre C, Cincotti F, Kübler A, Leeb R, Neuper C, Müller K, Mattia D, Combining Brain-Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges, Open AccessFrontiers
in Neuroprosthetics, 4, 2010 [url]

Sannelli C, Dickhaus T, Halder S, Hammer EM, Müller K, Blankertz B, On optimal channel configurations for SMR-based brain-computer interfacesBrain
Topogr, 23(2):186-193, 2010 [pdf] [url]

Schreuder M, Blankertz B, Tangermann M, A New Auditory Multi-class Brain-Computer Interface Paradigm: Spatial Hearing as an Informative Cue, Open AccessPLoS
ONE, 5(4):e9813, 2010 [url]

Telenczuk B, Nikulin VV, Curio G, Role of neuronal synchrony in the generation of evoked EEG/MEG responsesJ
Neurophysiol, 2010 [url]

Tomioka R, Müller KR, A regularized discriminative framework for EEG analysis with application to brain-computer interfaceNeuroImage
, 49:415-432, 2010 [url]

Treder MS, Blankertz B, (C)overt attention and visual speller design in an ERP-based brain-computer interface, Open AccessBehav
Brain Funct, 6:28, 2010 [url]

Venthur B, Scholler S, Williamson J, Dähne S, Treder MS, Kramarek MT, Müller K, Blankertz B, Pyff – A Pythonic Framework for Feedback Applications and Stimulus Presentation in Neuroscience, Open AccessFront
Neuroscience, 4:179, 2010 [url]

Vidaurre C, Blankertz B, Towards a Cure for BCI Illiteracy, Open AccessBrain
Topogr, 23:194-198, 2010 [url]

Zwolinski P, Roszkowski M, Zygierewicz J, Haufe S, Nolte G, Durka PJ, Open database of epileptic EEG with MRI and postoperational assessment of foci – a real world verification for the EEG inverse solutionsNeuroinformatics
, 8:285-299, 2010 [pdf] [url]

Book chapters

Blankertz B, Tangermann M, Vidaurre C, Dickhaus T, Sannelli C, Popescu F, Fazli S, Danóczy M, Curio G, Müller K, Detecting Mental States by Machine Learning Techniques: The Berlin Brain-Computer InterfaceBrain-Computer
Interfaces (Revolutionizing Human-Computer Interaction), Springer, 2010 [url]

Ewald A, Ziehe A, Shahbazi F, Nolte G, Exploiting Prior Neurophysiological Knowledge to Improve Brain Computer Interface Performance17th
International Conference on Biomagnetism Advances in Biomagnetism – Biomag2010, Springer Berlin Heidelberg, 28:370-373, 2010 [url]

Nolte G, Ziehe A, Krämer N, Popescu F, Müller K, Comparison of Granger Causality and Phase Slope IndexCausality
: Objectives and Assessment, 6:267-276, 2010 [url]

Schlögl A, Vidaurre C, Müller K, Adaptive Methods in BCI Research – An Introductory TutorialBrain-Computer
Interfaces, Springer, 2010 [url]

Shahbazi F, Ewald A, Ziehe A, Nolte G, Constructing Surrogate Data to Control for Artifacts of Volume Conduction for Functional Connectivity Measures17th
International Conference on Biomagnetism Advances in Biomagnetism – Biomag2010, Springer Berlin Heidelberg, 28:207-210, 2010 [url]

Conference papers

Acqualagna L, Treder MS, Schreuder M, Blankertz B, A novel brain-computer interface based on the rapid serial visual presentation paradigmConf
Proc IEEE Eng Med Biol Soc, 2010:2686-2689, 2010 [pdf] [url]

Höhne J, Schreuder M, Blankertz B, Mueller KR, Tangermann M, Novel paradigms for auditory P300 Spellers with spatial hearing: two online studies, Conference Abstract: Bernstein Conference on Computational Neuroscience 2010Front
Comput Neurosci, 2010 [url]

Höhne J, Schreuder M, Blankertz B, Tangermann M, Two-dimensional auditory P300 Speller with predictive text systemConf
Proc IEEE Eng Med Biol Soc, 2010:4185-4188, 2010 [pdf] [url]

Haufe S, Tomioka R, Dickhaus T, Sannelli C, Blankertz B, Nolte G, Müller K, Localization of class-related mu-rhythm desynchronization in motor imagery based Brain-Computer Interface sessionsConf
Proc IEEE Eng Med Biol Soc, 2010:5137-5140, 2010 [pdf] [url]

Haufe S, Tomioka R, Nolte G, Müller K, Kawanabe M, Modeling the Connectivity of Neural Ensembles Underlying EEG/MEG, Conference Abstract: Bernstein Conference on Computational Neuroscience 2010Front
Comput Neurosci, 2010 [url]

Haufe S, Treder MS, Gugler MF, Sagebaum M, Ewald A, Curio G, Blankertz B, Neural Signatures Enhance Emergency Braking Intention Detection during Simulated Driving, Conference Abstract: Bernstein Conference on Computational Neuroscience 2010Front
Comput Neurosci, 2010 [url]

Kawanabe M, Pascual J, Vidaurre C, Investigation of Non-stationarity in Brain Activity via Robust Principal Component AnalysisBernstein
Conference on Computational Neuroscience, 2010 [url]

Porbadnigk AK, Antons J, Blankertz B, Treder MS, Schleicher R, Möller S, Curio G, Using ERPs for Assessing the (Sub)Conscious Perception of NoiseConf
Proc IEEE Eng Med Biol Soc, 2010:2690-2693, 2010 [pdf] [url]

Porbadnigk A, Antons J, Blankertz B, Treder MS, Schleicher R, Möller S, Curio G, Assessing the (Sub)Conscious Processing of Noise based on ERPs, Conference Abstract: Bernstein Conference on Computational Neuroscience 2010Front
Comput Neurosci, 2010 [url]

Sannelli C, Vidaurre C, Müller K, Blankertz B, Common Spatial Pattern Patches – an Optimized Filter Ensemble for Adaptive Brain-Computer InterfacesConf
Proc IEEE Eng Med Biol Soc, 2010:4351-4354, 2010 [pdf] [url]

Sannelli C, Vidaurre C, Müller K, Blankertz B, Common Spatial Pattern Patches – an Optimized Spatial Filter for Adaptive BCIs, Conference Abstract: Bernstein Conference on Computational Neuroscience 2010Front
Comput Neurosci, 2010 [url]

Schmidt NM, Blankertz B, Treder MS, Alpha-modulation induced by covert attention shifts as a new input modality for EEG-based BCIsProceedings
of the 2010 IEEE Conference on Systems, Man and Cybernetics (SMC2010), 2010 [pdf] [url]

Schmidt NM, Blankertz B, Treder MS, Alpha-modulation induced by covert attention shifts as a new input modality for EEG-based BCIs, Conference Abstract: Bernstein Conference on Computational Neuroscience 2010Front
Comput Neurosci, 2010 [url]

Treder MS, Schmidt NM, Blankertz B, Towards gaze-independent visual brain-computer interfaces, Conference Abstract: Bernstein Conference on Computational Neuroscience 2010Front
Comput Neurosci, 2010 [url]

Venthur B, Blankertz B, Gugler MF, Curio G, Novel Applications of BCI Technology: Psychophysiological Optimization of Working Conditions in IndustryProceedings
of the 2010 IEEE Conference on Systems, Man and Cybernetics (SMC2010), 2010 [url]

Wojcikiewicz W, Vidaurre C, Kawanabe M, Stationary Common Spatial Patterns for non-stationary EEG data, Conference Abstract: Bernstein Conference on Computational Neuroscience (BCCN ’10)
Frontiers in Neuroscience, 2010 [url]

2009

Journal papers

Conradi J, Blankertz B, Tangermann M, Kunzmann V, Curio G, Brain-Computer Interfacing in Tetraplegic Patients with High Spinal Cord InjuryInt
J Bioelectromagnetism, 11(2):65-68, 2009 [pdf] [url]

Fazli S, Popescu F, Danóczy M, Blankertz B, Müller K, Grozea C, Subject-independent mental state classification in single trialsNeural
Netw, 22(9):1305-1312, 2009 [url]

Lemm S, Müller K, Curio G, A Generalized Framework for Quantifying the Dynamics of EEG Event-Related Desynchronization, Open AccessPLoS
Comput Biol, Public Library of Science, 5(8), 2009 [url]

Sannelli C, Braun M, Müller K, Improving BCI performance by task-related trial pruningNeural
Networks, 22:1295-1304, 2009 [url]

Schreuder M, Tangermann M, Blankertz B, Initial results of a high-speed spatial auditory BCIInt
J Bioelectromagnetism, 11(2):105-109, 2009 [pdf] [url]

Schubert R, Haufe S, Blankenburg F, Villringer A, Curio G, Now you’ll feel it – now you won’t: EEG rhythms predict the effectiveness of perceptual maskingJ
Cogn Neurosci, 21(12):2407-2419, 2009 [url]

Tangermann M, Winkler I, Haufe S, Blankertz B, Classification of Artifactual ICA ComponentsInt
J Bioelectromagnetism, 11(2):110-114, 2009 [pdf] [url]

Vidaurre C, Krämer N, Blankertz B, Schlögl A, Time Domain Parameters as a feature for EEG-based Brain Computer InterfacesNeural
Networks, 22:1313-1319, 2009 [url]

Williamson J, Murray-Smith R, Blankertz B, Krauledat M, Müller K, Designing for uncertain, asymmetric control: Interaction design for brain-computer interfacesInt
J Hum Comput Stud, 67(10):827-841, 2009 [url]

Conference papers

Blankertz B, Müller K, Curio G, Neuronal Correlates of Emotions in Human-Machine Interaction, Eighteenth Annual Computational Neuroscience Meeting: CNS*2009BMC
Neuroscience 2009, 10:(Suppl 1):P 80, 2009 [url]

Blankertz B, Sannelli C, Halder S, Hammer E, Kübler A, Müller K, Curio G, Dickhaus T, Predicting BCI Performance to Study BCI Illiteracy7th
NFSI & ICBEM 2009, 2009 [pdf]

Blankertz B, Vidaurre C, Towards a Cure for BCI Illiteracy: Machine-Learning Based Co-adaptive Learning, Eighteenth Annual Computational Neuroscience Meeting: CNS*2009BMC
Neuroscience 2009, 10:(Suppl 1):P 85, 2009 [url]

Dickhaus T, Sannelli C, Müller K, Curio G, Blankertz B, Predicting BCI Performance to Study BCI Illiteracy, Eighteenth Annual Computational Neuroscience Meeting: CNS*2009BMC
Neuroscience 2009, 10:(Suppl 1):P 84, 2009 [url]

Durka P, Roszkowski M, Zygierewicz J, Haufe S, Nolte G, Zwolinski P, An open database of EEG data from child epilepsy with postoperational foci localization at eeg.pl/epi, Conference Abstract: Neuroinformatics 2009Frontiers
in Neuroscience, 2009 [url]

Fazli S, Grozea C, Danóczy M, Blankertz B, Popescu F, Müller K, Subject independent EEG-based BCI decodingAdvances
in Neural Information Processing Systems 22, MIT Press, 2009

Kawanabe M, Vidaurre C, Improving BCI Performance by Modified Common Spatial Patterns with Robustly Averaged Covariance MatricesWC2009
, 2009

Kawanabe M, Vidaurre C, Blankertz B, Müller K, A maxmin approach to optimize spatial filters for EEG single-trial classificationProceedings
of IWANN 09, Part I, LNCS, 2009 [pdf]

Kawanabe M, Vidaurre C, Schoeller S, Blankertz B, Mueller K, Robust Common Spatial Filters with a Maxmin ApproachEMBS-Conference
, 2009

Ramsey L, Tangermann M, Haufe S, Blankertz B, Practicing fast-decision BCI using a “goalkeeper” paradigm, Eighteenth Annual Computational Neuroscience Meeting: CNS*2009BMC
Neuroscience 2009, 10:(Suppl 1):P 69, 2009 [pdf] [url]

Tangermann M, Krauledat M, Grzeska K, Sagebaum M, Blankertz B, Vidaurre C, Müller K, Playing Pinball with non-invasive BCIAdvances
in Neural Information Processing Systems 21, December 8-11, 2008, MIT Press, 2009 [pdf]

2008

Journal papers

Blankertz B, Losch F, Krauledat M, Dornhege G, Curio G, Müller K, The Berlin Brain-Computer Interface: Accurate performance from first-session in BCI-naive subjectsIEEE
Trans Biomed Eng, 55(10):2452-2462, 2008 [pdf] [url]

Blankertz B, Tomioka R, Lemm S, Kawanabe M, Müller K, Optimizing Spatial Filters for Robust EEG Single-Trial AnalysisIEEE
Signal Process Mag, 25(1):41-56, 2008 [pdf] [url]

Haufe S, Nikulin VV, Ziehe A, Müller K, Nolte G, Combining sparsity and rotational invariance in EEG/MEG source reconstructionNeuroImage
, 42(2):726-738, 2008 [pdf] [url]

Krauledat M, Tangermann M, Blankertz B, Müller K, Towards Zero Training for Brain-Computer Interfacing, Open AccessPLoS
ONE, Public Library of Science, 3(8):e2967, 2008 [pdf] [url]

Müller K, 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 monitoringJ
Neurosci Methods, 167(1):82-90, 2008 [pdf] [url]

Nijholt A, Tan D, Pfurtscheller G, Brunner C, Millán J, Allison B, Grainmann B, Popescu F, Blankertz B, Müller K, Brain-Computer Interfacing for Intelligent SystemsIEEE
Intelligent Systems, 23(3):72-79, 2008 [pdf] [url]

Nikulin VV, Hohlefeld FU, Jacobs AM, Curio G, Quasi-movements: A novel motor-cognitive phenomenonNeuropsychologia
, 46(2):727-742, 2008 [url]

Nikulin VV, Marzinzik F, Wahl M, Schneider GH, Kupsch A, Curio G, Klostermann F, Anticipatory activity in the human thalamus is predictive of reaction timesNeuroscience
, 155:1275-1283, 2008 [url]

Book chapters

Blankertz B, Tangermann M, Popescu F, Krauledat M, Fazli S, Danóczy M, Curio G, Müller K, The Berlin Brain-Computer InterfaceWCCI
2008 Plenary/Invited Lectures, Springer, 5050:79-101, 2008 [pdf] [url]

Conference papers

Blankertz B, Kawanabe M, Tomioka R, Hohlefeld F, Nikulin V, Müller K, Invariant Common Spatial Patterns: Alleviating Nonstationarities in Brain-Computer InterfacingAdvances
in Neural Information Processing Systems 20, MIT Press, 2008 [pdf]

Fazli S, Danóczy M, Kawanabe M, Popescu F, Asynchronous, adaptive BCI using movement imagination training and rest-state inferenceIASTED
‘s Proceedings on Artificial Intelligence and Applications 2008, 2008 [url]

Haufe S, Nikulin VV, Ziehe A, Müller K, Nolte G, Estimating vector fields using sparse basis field expansionsAdvances
in Neural Information Processing Systems 21, MIT Press, 2008 [pdf]

Schubert R, Tangermann M, Haufe S, Sannelli C, Simon M, Schmidt EA, Kincses WE, Curio G, Parieto-occipital alpha power indexes distraction during simulated car driving, Abstracts of the 14th World Congress of PsychophysiologyInternational
Journal of Psychophysiology, 69(3), 2008 [pdf] [url]

Vidaurre C, Schlögl A, Comparison of adaptive features with linear discriminant classifier for Brain Computer InterfacesProceedings
of the 30th Annual International Conference of the IEEE Engineering in Medicine and Biology Society 2008, 2008

PhD theses

Krauledat M, Analysis of Nonstationarities in EEG signals for improving Brain-Computer Interface performanceTechnische
Universität Berlin, Fakultät IV – Elektrotechnik und Informatik, 2008 [pdf]

2007

Journal papers

Blankertz B, Dornhege G, Krauledat M, Müller K, Curio G, The non-invasive Berlin Brain-Computer Interface: Fast Acquisition of Effective Performance in Untrained SubjectsNeuroImage
, 37(2):539-550, 2007 [pdf] [url]

Krauledat M, Dornhege G, Blankertz B, Müller K, Robustifying EEG data analysis by removing outliersChaos
and Complexity Letters, 2(3):259-274, 2007 [pdf]

Krepki R, Blankertz B, Curio G, Müller K, The Berlin Brain-Computer Interface (BBCI): towards a new communication channel for online control in gaming applicationsJournal
of Multimedia Tools and Applications, 33(1):73-90, 2007 [pdf] [url]

Krepki R, Curio G, Blankertz B, Müller K, Berlin Brain-Computer Interface – the HCI Communication Channel for Discovery, Special Issue on Ambient IntelligenceInt
J Hum Comp Studies, 65:460-477, 2007 [pdf]

Nikulin VV, Linkenkaer-Hansen K, Nolte G, Lemm S, Müller K, Ilmoniemi RJ, Curio G, A novel mechanism for evoked responses in human brainEur
J Neurosci, 25:3146-54, 2007 [pdf]

Popescu F, Fazli S, Badower Y, Blankertz B, Müller K, Single Trial Classification of Motor Imagination Using 6 Dry EEG Electrodes, Open AccessPLoS
ONE, 2(7):e637, 2007 [pdf] [url]

Sugiyama M, Krauledat M, Müller K, Covariate Shift Adaptation by Importance Weighted Cross ValidationJournal
of Machine Learning Research, 8:1027-1061, 2007 [pdf]

Books

Dornhege G, R. Millán J d, Hinterberger T, McFarland D, Müller K, Toward Brain-Computer InterfacingMIT
Press, 2007

Book chapters

Blankertz B, Dornhege G, Krauledat M, Kunzmann V, Losch F, Curio G, Müller K, The Berlin Brain-Computer Interface: Machine-Learning based Detection of User Specific Brain StatesToward
Brain-Computer Interfacing, MIT press, 2007

Dornhege G, Krauledat M, Müller K, Blankertz B, General signal processing and machine learning tools for BCIToward
Brain-Computer Interfacing, MIT Press, 2007

Kübler A, Müller K, An introducton to brain computer interfacingToward
Brain-Computer Interfacing, MIT press, 2007

Kohlmorgen J, Dornhege G, Braun M, Blankertz B, Müller K, Curio G, Hagemann K, Bruns A, Schrauf M, Kincses W, Improving human performance in a real operating environment through real-time mental workload detectionToward
Brain-Computer Interfacing, MIT press, 2007 [pdf]

Krauledat M, Shenoy P, Blankertz B, Rao RP, Müller K, Adaptation in CSP-based BCI systemsToward
Brain-Computer Interfacing, MIT Press, 2007

Conference papers

Blankertz B, Krauledat M, Dornhege G, Williamson J, Murray-Smith R, Müller K, A Note on Brain Actuated Spelling with the Berlin Brain-Computer InterfaceUniversal
Access in HCI, Part II, HCII 2007, Springer, 4555:759-768, 2007 [pdf]

Krauledat M, Schröder M, Blankertz B, Müller K, Reducing Calibration Time For Brain-Computer Interfaces: A Clustering ApproachAdvances
in Neural Information Processing Systems 19, MIT Press, 2007 [pdf]

Lemm S, Schäfer C, Curio G, Aggregating Classification Accuracy across Time: Application to Single Trial EEGAdvances
in Neural Inf. Proc. Systems (NIPS 06), MIT press, 19:825-832, 2007 [pdf]

Müller K, Krauledat M, Dornhege G, Curio G, Blankertz B, Machine Learning and Applications for Brain-Computer InterfacingHuman
Interface, Part I, HCII 2007, Springer, 4557:705-714, 2007

Schmidt EA, Kincses WE, Schrauf M, Haufe S, Schubert R, Curio G, Assessing Drivers’ Vigilance State During Monotonous DrivingProceedings
of the Fourth International Symposium on Human Factors in Driving Assessment, Training, and Vehicle Design, 2007 [pdf]

Tomioka R, Aihara K, Classifying Matrices with a Spectral RegularizationICML
’07: Proceedings of the 24th international conference on Machine learning, ACM Press, 2007 [pdf]

Tomioka R, Aihara K, Müller K, Logistic Regression for Single Trial EEG ClassificationAdvances
in Neural Information Processing Systems 19, MIT Press, 2007 [pdf]

PhD theses

Lemm S, Analyses of single trial encephalogram dataTechnical
University of Berlin, 2007 [pdf]

2006

Journal papers

Blankertz B, Dornhege G, Krauledat M, Müller K, Kunzmann V, Losch F, Curio G, The Berlin Brain-Computer Interface: EEG-based communication without subject trainingIEEE
Trans Neural Syst Rehabil Eng, 14(2):147-152, 2006 [pdf] [url]

Blankertz B, Dornhege G, Lemm S, Krauledat M, Curio G, Müller K, The Berlin Brain-Computer Interface: Machine Learning Based Detection of User Specific Brain StatesJ
Universal Computer Sci, 12(6):581-607, 2006 [pdf] [url]

Blankertz B, Müller K, Krusienski D, Schalk G, Wolpaw JR, Schlögl A, Pfurtscheller G, R. Millán J d, Schröder M, Birbaumer N, The BCI Competition III: Validating Alternative Approachs to Actual BCI ProblemsIEEE
Trans Neural Syst Rehabil Eng, 14(2):153-159, 2006 [pdf] [url]

Dornhege G, Blankertz B, Krauledat M, Losch F, Curio G, Müller K, Combined optimization of spatial and temporal filters for improving Brain-Computer InterfacingIEEE
Trans Biomed Eng, 53(11):2274-2281, 2006 [pdf] [url]

Müller K, Blankertz B, Toward noninvasive Brain-Computer InterfacesIEEE
Signal Process Mag, 23(5):125-128, 2006 [pdf] [url]

McFarland DJ, Anderson CW, Müller KR, Schlögl A, Krusienski DJ, BCI Meeting 2005-workshop on BCI signal processing: feature extraction and translationIEEE
Trans Neural Syst Rehabil Eng, 14:135-138, 2006 [url]

Nolte G, Meinecke FC, Ziehe A, Müller K, Identifying interactions in mixed and noisy complex systemsPhysical
Review E, 73:051913, 2006

Schubert R, Blankenburg F, Lemm S, Villringer A, Curio G, Now you feel it – now you don’t: ERP correlates of somatosensory awarenessPsychophysiology
, 43(1):31-40, 2006

Shenoy P, Krauledat M, Blankertz B, Rao RP, Müller K, Towards Adaptive Classification for BCIJ
Neural Eng, 3(1):R13-R23, 2006 [pdf] [url]

Conference papers

Blankertz B, Dornhege G, Krauledat M, Schröder M, Williamson J, Murray-Smith R, Müller K, The Berlin Brain-Computer Interface presents the novel mental typewriter Hex-o-SpellProceedings
of the 3rd International Brain-Computer Interface Workshop and Training Course 2006, Verlag der TU Graz, 2006 [pdf]

Dornhege G, Blankertz B, Krauledat M, Losch F, Curio G, Müller K, Optimizing spatio-temporal filters for improving Brain-Computer InterfacingAdvances
in Neural Inf. Proc. Systems (NIPS 05), MIT Press, 18:315-322, 2006

Krauledat M, Blankertz B, Dornhege G, Schröder M, Curio G, Müller K, On-line differentiation of neuroelectric activities: algorithms and applicationsProceedings
of the 28th Annual International Conference IEEE EMBS on Biomedicine, 2006 [pdf]

Nolte G, Ziehe A, Meinecke FC, Müller K, Analyzing Coupled Brain Sources: Distinguishing True from Spurious Interaction, acceptedAdvances
in Neural Inf. Proc. Systems (NIPS 05), 18, 2006

Popescu F, Badower Y, Fazli S, Dornhege G, Müller K, EEG-based control of reaching to visual targetsDynamical
Principles for neuroscience and intelligent biomimetic devices – Abstracts of the EPFL-LATSIS Symposium 2006, 2006

Sugiyama M, Blankertz B, Krauledat M, Dornhege G, Müller K, Importance-Weighted Cross-Validation for Covariate ShiftProc
. DAGM, LNCS 4174, Springer-Verlag, 2006 [pdf]

Tomioka R, Dornhege G, Nolte G, Aihara K, Müller K, Optimizing Spectral Filters for Single Trial EEG ClassificationProc
. DAGM, LNCS 4174, Springer-Verlag, 2006 [pdf]

Tomioka R, Hill J, Blankertz B, Aihara K, Adapting Spatial Filtering Methods for Nonstationary BCIsProceedings
of 2006 Workshop on Information-Based Induction Sciences (IBIS2006), 2006 [pdf]

Technical reports

Tomioka R, Dornhege G, Nolte G, Blankertz B, Aihara K, Müller K, Spectrally Weighted Common Spatial Pattern Algorithm for Single Trial EEG ClassificationDept
. of Mathematical Engineering, The University of Tokyo, 2006 [pdf]

PhD theses

Dornhege G, Increasing Information Transfer Rates for Brain-Computer InterfacingUniversity
of Potsdam, 2006 [pdf]

2005

Journal papers

Lemm S, Blankertz B, Curio G, Müller K, Spatio-Spectral Filters for Improving Classification of Single Trial EEGIEEE
Trans Biomed Eng, 52(9):1541-1548, 2005 [pdf] [url]

Conference papers

Schäfer C, Lemm S, Curio G, Binary on-line classification based on temporally integrated informationProceedings
of the 28th annual conference of the Society for Classification, 2005

Technical reports

Blankertz B, Dornhege G, Krauledat M, Müller K, Curio G, The Berlin Brain-Computer Interface: Report from the Feedback SessionsFraunhofer
FIRST, 2005 [pdf]

2004

Journal papers

Blanchard G, Blankertz B, BCI Competition 2003 – Data Set IIa: Spatial Patterns of Self-Controlled Brain Rhythm ModulationsIEEE
Trans Biomed Eng, 51(6):1062-1066, 2004 [pdf] [url]

Blankertz B, Müller K, 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 TrialsIEEE
Trans Biomed Eng, 51(6):1044-1051, 2004 [url] [url]

Dornhege G, Blankertz B, Curio G, Müller K, Boosting bit rates in non-invasive EEG single-trial classifications by feature combination and multi-class paradigmsIEEE
Trans Biomed Eng, 51(6):993-1002, 2004 [pdf] [url]

Hinterberger T, Schmidt S, Neumann N, Mellinger J, Blankertz B, Curio G, Birbaumer N, Brain-Computer Communication with Slow Cortical Potentials: Methodology and Critical AspectsIEEE
Trans Biomed Eng, 51(6):1011-1018, 2004 [pdf] [url]

Kohlmorgen J, Blankertz B, Bayesian Classification of Single-Trial Event-Related Potentials in EEGInt
J Bif Chaos, 14(2):719-726, 2004 [pdf]

Krauledat M, Dornhege G, Blankertz B, Curio G, Müller K, The Berlin Brain-Computer Interface For Rapid ResponseBiomed
Tech, 49(1):61-62, 2004 [pdf]

Lemm S, Schäfer C, Curio G, Probabilistic Modeling of Sensorimotor $u$-Rhythms for Classification of Imaginary Hand MovementsIEEE
Trans Biomed Eng, 51(6):1077-1080, 2004 [pdf]

Müller K, Krauledat M, Dornhege G, Curio G, Blankertz B, Machine learning techniques for Brain-Computer InterfacesBiomed
Tech, 49(1):11-22, 2004 [pdf]

Conference papers

Dornhege G, Blankertz B, Curio G, Müller K, Increase Information Transfer Rates in BCI by CSP Extension to Multi-classAdvances
in Neural Information Processing Systems, MIT Press, 16:733-740, 2004 [pdf]

Krauledat M, Dornhege G, Blankertz B, Losch F, Curio G, Müller K, Improving Speed And Accuracy Of Brain-Computer Interfaces Using Readiness Potential FeaturesConf
Proc IEEE Eng Med Biol Soc, 4:4511-4515, 2004 [pdf] [url]

PhD theses

Krepki R, Brain-Computer Interfaces: Design and Implementation of an Online BCI System of the Control in Gaming Applications and Virtual LimbsTechnische
Universität Berlin, Faculty IV – Electrical Engineering and Computer Science, 2004

2003

Journal papers

Blankertz B, Dornhege G, Schäfer C, Krepki R, Kohlmorgen J, Müller K, 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 AnalysisIEEE
Trans Neural Syst Rehabil Eng, 11(2):127-131, 2003 [pdf] [url]

Müller K, Anderson CW, Birch GE, Linear and Non-Linear Methods for Brain-Computer InterfacesIEEE
Trans Neural Syst Rehabil Eng, 11(2):165-169, 2003 [pdf]

Sajda P, Gerson A, Müller K, Blankertz B, Parra L, A Data Analysis Competition to Evaluate Machine Learning Algorithms for use in Brain-Computer InterfacesIEEE
Trans Neural Syst Rehabil Eng, 11(2):184-185, 2003 [pdf] [url]

Conference papers

Dornhege G, Blankertz B, Curio G, Speeding up classification of multi-channel Brain-Computer Interfaces: Common spatial patterns for slow cortical potentialsProceedings
of the 1st International IEEE EMBS Conference on Neural Engineering. Capri 2003, 2003 [pdf]

Dornhege G, Blankertz B, Curio G, Müller K, Combining Features for BCIAdvances
in Neural Inf. Proc. Systems (NIPS 02), 15:1115-1122, 2003 [pdf]

Krepki R, Blankertz B, Curio G, Müller K, The Berlin Brain-Computer Interface (BBCI): towards a new communication channel for online control of multimedia applications and computer games9th
International Conference on Distributed Multimedia Systems (DMS’03), 2003 [pdf]

2002

Conference papers

Blankertz B, Curio G, Müller K, Classifying Single Trial EEG: Towards Brain Computer InterfacingAdvances
in Neural Inf. Proc. Systems (NIPS 01), 14:157-164, 2002 [pdf]

Blankertz B, Schäfer C, Dornhege G, Curio G, Single Trial Detection of EEG Error Potentials: A Tool for Increasing BCI transmission ratesArtificial
Neural Networks – ICANN 2002, 2002 [pdf]

Kohlmorgen J, Blankertz B, A Simple Generative Model for Single-Trial EEG ClassificationArtificial
Neural Networks – ICANN 2002, Springer, 2002 [pdf]

2000

Conference papers

Müller K, Kohlmorgen J, Ziehe A, Blankertz B, Decomposition Algorithms for Analysing Brain SignalsAdaptive
Systems for Signal Processing, Communications and Control, 2000 [pdf] [url]