Publications

Jordy Thielen, Michael Tangermann, Erik J Aarnoutse, Nick F Ramsey, Mariska J Vansteensel (2025). Towards an sEEG-based BCI using code-modulated VEP: A case study showing the influence of electrode location on decoding efficiency. Clinical Neurophysiology.

Cite DOI URL

V̧́tor Martı́nez-Cagigal, Jordy Thielen, Roberto Hornero, Peter Desain (2025). The role of code-modulated evoked potentials in next-generation brain-computer interfacing. Frontiers in Human Neuroscience.

Cite DOI URL

Timothé Guyonnet-Hencke, Oscar Portoles, Marten de Vries, Eva Koderman, Alexandra Winkler, Jennifer Goodall, Peter Desain, Jordy Thielen, Michael Schulte, Andy Beynon, Mark van Kesteren (2025). Rapid cortical auditory evoked potentials audiometry. International Journal of Audiology.

Cite DOI URL

Stephanie L Cernera, Tan Gemicioglu, Julia Berezutskaya, Richard Csaky, Maxime Verwoert, Daniel Polyakov, Sotirios Papadopoulos, Valeria Spagnolo, Juliana Gonzalez-Astudillo, Satyam Kumar, Alawieh Hussein, Dion Kelly, Joanna Keough, Araz Minhas, Matthias Dold, Yiyuan Han, Alexander McClanahan, Mousa Mustafa, Juan Gonzalez-Espana, Florencia Garro, Angela Vujic, Kriti Kacker, Christoph Kapeller, Simon Geukes, Ceci Verbaarschot, Michael Wimmer, Mushfika Sultana, Sara Ahmadi, Christian Herff, Andreea Sburlea, Camille Jeunet, David Thompson, Marianna Semprini, Richard Andersen, Sergey Stavisky, Eli Kinney-Lang, Fabien Lotte, Jordy Thielen, Xing Chen, Victoria Peterson, Aysegul Gunduz, Teresa Vaughan, Davide Valeriani (2025). Master classes of the tenth international brain-computer interface meeting: showcasing the research of BCI trainees. Journal of Neural Engineering.

Cite DOI URL

Matthias Dold, Joana Pereira, Bastian Sajonz, Volker A Coenen, Jordy Thielen, Marcus LF Janssen, Michael Tangermann (2025). Dareplane: a modular open-source software platform for BCI research with application in closed-loop deep brain stimulation. Journal of Neural Engineering.

Cite DOI URL

Pierre Guetschel, Michael Tangermann (2024). Identifying Good Donor Datasets for Transfer Learning Scenarios in Motor Imagery BCI. Artificial Intelligence and Machine Learning.

Cite DOI

Pierre Guetschel, Sara Ahmadi, Michael Tangermann (2024). Review of Deep Representation Learning Techniques for Brain-Computer Interfaces. Journal of Neural Engineering.

Cite DOI

Guido Klein, Pierre Guetschel, Gianluigi Silvestri, Michael Tangermann (2024). Synthesizing EEG Signals from Event-Related Potential Paradigms with Conditional Diffusion Models. 9th Graz Brain-Computer Interface Conference.

Cite DOI URL

Pierre Guetschel, Thomas Moreau, Michael Tangermann (2024). S-JEPA: towards seamless cross-dataset transfer through dynamic spatial attention. 9th Graz Brain-Computer Interface Conference.

Cite DOI URL

Peter Wassenaar, Pierre Guetschel, Michael Tangermann (2024). Approximate UMAP allows for high-rate online visualization of high-dimensional data streams. 9th Graz Brain-Computer Interface Conference.

Cite DOI URL

Shekhar Narayanan, Sara Ahmadi, Peter Desain, Jordy Thielen (2024). Towards gaze-independent c-VEP BCI: A pilot study. arXiv preprint arXiv:2404.00031.

Cite DOI URL

Hanneke Scheppink, Sara Ahmadi, Peter Desain, Micheal Tangermann, Jordy Thielen (2024). Towards auditory attention decoding with noise-tagging: A pilot study. arXiv preprint arXiv:2403.15523.

Cite DOI URL

Jordy Thielen, Jan Sosulski, Michael Tangermann (2024). Exploring new territory: Calibration-free decoding for c-VEP BCI. arXiv preprint arXiv:2403.15521.

Cite DOI URL

Sara Ahmadi, Peter Desain, Jordy Thielen (2024). A Bayesian dynamic stopping method for evoked response brain-computer interfacing. Frontiers in Human Neuroscience.

Cite DOI URL

S Groppa, G Gonzalez-Escamilla, G Tinkhauser, HI Baqapuri, B Sajonz, C Wiest, J Pereira, DM Herz, MR Dold, M Bange, D Ciolac, V Almeida, J Neuber, D Mirzac, JF Martín-Rodríguez, C Dresel, M Muthuraman, AD Adarmes Gomez, M Navas, G Temiz, A Gunduz, L Rotaru, Y Winter, R Schuurman, MF Contarino, M Glaser, M Tangermann, AFG Leentjens, P Mir, CV Torres Diaz, C Karachi, DEJ Linden, H Tan, VA Coenen (2023). EuroDBS. Perspectives of Implementation of Closed-Loop Deep Brain Stimulation: From Neurological to Psychiatric Disorders. Stereotactical Functional Neurosurgery.

Cite DOI

Pierre Guetschel, Michael Tangermann (2023). Transfer Learning between Motor Imagery Datasets Using Deep Learning - Validation of Framework and Comparison of Datasets.

Cite DOI

Michael Tangermann, Jan Sosulski (2023). UMM: Unsupervised Classification of ERPs with Confidence. Proceedings of the 10th International Brain-Computer Interface Meeting 2023.

Cite DOI

Simon Kojima, Mariacristina Musso, Crispijn Aalberts, Benjamin E. Kortenbach, Sara Miloševska, Kim de Wit, Shin-Shiro Kanoh, Michael Tangermann (2023). The influence of pitch modulation on the performance of a BCI-based language training system. Proceedings of the 10th International Brain-Computer Interface Meeting 2023.

Cite DOI

Matthias Dold, Joana Pereira, Bastian Sajonz, Volker A. Coenen, Mark L. F. Janssen, Michael Tangermann (2023). Platform for closed-loop deep brain stimulation research: DAREPLANE. Proceedings of the 10th International Brain-Computer Interface Meeting 2023.

Cite DOI

Pierre Guetschel, Théodore Papadopoulo, Michael Tangermann (2023). Neural network transfer learning with fast calibration for mental imagery decoding. Proceedings of the 10th International Brain-Computer Interface Meeting 2023.

Cite DOI

Joana Pereira, Matthias Dold, Bastian Sajonz, Michael Tangermann, Volker A. Coenen (2023). EEG potentials evoked by deep brain stimulation in patients with treatment-resistant depression. Proceedings of the 10th International Brain-Computer Interface Meeting 2023.

Cite DOI

Jordy Thielen, Gijs Cornielje, Floris van der Werff, Peter Desain (2023). A comparison of stimulus sequences for code-modulated visual evoked potential (c-VEP) based BCI. Proceedings of the 10th International Brain-Computer Interface Meeting 2023: Balancing Innovation and Translation.

PDF Cite DOI

Ivo V. Stuldreher, Jan B. F. van Erp, Anne-Marie Brouwer (2023). Robustness of Physiological Synchrony in Wearable Electrodermal Activity and Heart Rate as a Measure of Attentional Engagement to Movie Clips. Sensors.

Cite DOI

Pierre Guetschel, Théodore Papadopoulo, Michael Tangermann (2023). An Embedding for EEG Signals Learned Using a Triplet Loss. arXiv.

Cite DOI arXiv

Matthias Dold, Joana Pereira, Mark Janssen, Michael Tangermann (2023). Project dareplane for closed-loop deep brain stimulation. Brain Stimulation: Basic, Translational, and Clinical Research in Neuromodulation.

Cite DOI URL

Jan Sosulski, Michael Tangermann (2023). UMM: Unsupervised Mean-difference Maximization. arXiv preprint arXiv:2306.11830.

Cite DOI

Sinan Uslu, Michael Tangermann, Claus Vögele (2023). Estimating person-specific neural correlates of mental rotation: A machine learning approach. bioRxiv.

Cite DOI

Joana Pereira, Matthias Dold, Bastian Sajonz, Thomas E. Schlaepfer, Michael Tangermann, Volker A Coenen (2023). Electrophysiological footprint of slMFB-DBS in depression--study design and preliminary results. Brain Stimulation: Basic, Translational, and Clinical Research in Neuromodulation.

Cite DOI

Jordy Thielen (2023). Effects of Stimulus Sequences on Brain-Computer Interfaces Using Code-Modulated Visual Evoked Potentials: An Offline Simulation. Advances in Computational Intelligence.

Cite DOI URL

Jan Sosulski, Michael Tangermann (2022). Introducing block-Toeplitz covariance matrices to remaster linear discriminant analysis for event-related potential brain–computer interfaces. Journal of Neural Engineering.

Cite DOI URL

Pierre Guetschel, Thoedore Papadopoulo, Michael Tangermann (2022). Embedding Neurophysiological Signals. 2022 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence, and Neural Engineering (MetroXRAINE).

Cite DOI URL

Joern Rickert, Martin Schuettler, Volker A Coenen, Thomas Schlaepfer, Michael Tangermann (2022). Adaptive deep brain stimulation of the superolateral medial forebrain bundle.

Cite

Jan Sosulski, Michael Tangermann (2022). Introducing Block-Toeplitz Covariance Matrices to Remaster Linear Discriminant Analysis for Event-related Potential Brain-computer Interfaces. arXiv preprint arXiv:2202.02001.

Cite

Jesus Minguillon, Ivan Volosyak, Christoph Guger, Michael Tangermann, Miguel Angel Lopez (2022). Brain-Computer Interfaces: Novel applications and interactive technologies. Frontiers in Computational Neuroscience.

Cite

Mariacristina Musso, David Hübner, Sarah Schwarzkopf, Maria Bernodusson, Pierre LeVan, Cornelius Weiller, Michael Tangermann (2022). Aphasia recovery by language training using a brain--computer interface: A proof-of-concept study. Brain communications.

Cite DOI

Jan Sosulski, Jan-Philipp Kemmer, Michael Tangermann (2021). Improving Covariance Matrices Derived from Tiny Training Datasets for the Classification of Event-Related Potentials with Linear Discriminant Analysis. Neuroinformatics.

Cite DOI URL

Christoph Guger, Michael Tangermann, Brendan Z Allison (2021). Recent advances in brain-computer interface research: A summary of the 2019 BCI Award and online BCI research activities. Brain-Computer Interface Research.

Cite

Jan Zerfowski, Tilmann Sander, Michael Tangermann, Surjo Soekadar, Thomas Middelmann (2021). Real-time data processing for brain-computer interfacing using optically pumped magnetometers.. International Journal of Bioelectromagnetism.

Cite

Jan Sosulski, David Hübner, Aaron Klein, Michael Tangermann (2021). Online Optimization of Stimulation Speed in an Auditory Brain-Computer Interface under Time Constraints. arXiv preprint arXiv:2109.06011.

Cite DOI

Andreas Meinel, Jan Sosulski, Stephan Schraivogel, Janine Reis, Michael Tangermann (2021). Manipulating single-trial motor performance in chronic stroke patients by closed-loop brain state interaction. IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Cite DOI

Jordy Thielen, Pieter Marsman, Jason Farquhar, Peter Desain (2021). From full calibration to zero training for a code-modulated visual evoked potentials for brain--computer interface. Journal of Neural Engineering.

Cite DOI URL

Víctor Martínez-Cagigal, Jordy Thielen, Eduardo Santamaría-Vázquez, Sergio Pérez-Velasco, Peter Desain, Roberto Hornero (2021). Brain--computer interfaces based on code-modulated visual evoked potentials (c-VEP): A literature review. Journal of Neural Engineering.

Cite DOI URL

Ceci Verbaarschot, Daniëlle Tump, Andreea Lutu, Marzieh Borhanazad, Jordy Thielen, Philip van den Broek, Jason Farquhar, Janneke Weikamp, Joost Raaphorst, Jan T Groothuis, others (2021). A visual brain-computer interface as communication aid for patients with amyotrophic lateral sclerosis. Clinical Neurophysiology.

Cite DOI URL

Ivo V Stuldreher, Nattapong Thammasan, Jan B F Van Erp, Anne-Marie Brouwer (2020). Physiological Synchrony in EEG, Electrodermal Activity and Heart Rate Reflects Shared Selective Auditory Attention. Journal of Neural Engineering.

Cite DOI

Henrich Kolkhorst, Joseline Veit, Wolfram Burgard, Michael Tangermann (2020). A Robust Screen-Free Brain-Computer Interface for Robotic Object Selection. Frontiers in Robotics and AI, section Computational Intelligence in Robotics.

PDF Cite DOI

David Hübner, Albrecht Schall, Michael Tangermann (2020). Unsupervised Learning in a BCI Chess Application Using Label Proportions and Expectation-Maximization. Brain-Computer Interfaces.

Cite DOI URL

Golan Karvat, Artur Schneider, Mansour Alyahyay, Florian Steenbergen, Michael Tangermann, Ilka Diester (2020). Real-time detection of neural oscillation bursts allows behaviourally relevant neurofeedback. Nature Communications Biology.

Cite DOI URL

Ivo V. Stuldreher, Nattapong Thammasan, Jan B. F. van Erp, Anne-Marie Brouwer (2020). Physiological Synchrony in EEG, Electrodermal Activity and Heart Rate Detects Attentionally Relevant Events in Time. Frontiers in Neuroscience.

Cite DOI

Sebastián Castaño-Candamil, Tobias Piroth, Peter Reinacher, Bastian Sajonz, Volker A. Coenen, Michael Tangermann (2020). Identifying controllable cortical neural markers with machine learning for adaptive deep brain stimulation in Parkinson’s disease. NeuroImage: Clinical.

Cite

Camille Jeunet, Camille Bernaroch, F Cabestaing, Ricardo Chavarriaga, Emma Colamarino, Marie Constance Corsi, Damien Coyle, F De Vico Fallani, S Enriquez-Geppert, P Figueirédo, others (2020). A user-centred approach to unlock the potential of non-invasive BCIs: an unprecedented international translational effort. CHIST-ERA CONFERENCE 2020.

Cite

Sebastián Castaño-Candamil, Benjamin I Ferleger, Andrew Haddock, Sarah S Cooper, Jeffrey Herron, Andrew Ko, Howard J Chizeck, Michael Tangermann (2020). A pilot study on data-driven adaptive deep brain stimulation in chronically implanted essential tremor patients. Frontiers in Human Neuroscience.

Cite DOI

Jan Sosulski, Michael Tangermann (2019). Spatial filters for auditory evoked potentials transfer between different experimental conditions. Proceedings of the 8th Graz Brain-Computer Interface Conference 2019.

Cite DOI

Henrich Kolkhorst, Wolfram Burgard, Michael Tangermann (2019). Learning User Preferences for Trajectories from Brain Signals. Proceedings of the International Symposium on Robotics Research (ISRR).

PDF Cite

Henrich Kolkhorst, Joseline Veit, Wolfram Burgard, Michael Tangermann (2019). Heterogeneity of Event-Related Potentials in a Screen-Free Brain-Computer Interface. Proceedings of the 8th Graz Brain-Computer Interface Conference 2019.

Cite DOI

Sebastián Castaño-Candamil, Mara Vaihinger, Michael Tangermann (2019). A Simulated Environment for Studying Partial Observability in Novel Adaptive Deep Brain Stimulation. Proceedings of the 8th Graz Brain-Computer Interface Conference 2019.

Cite DOI

Henrich Kolkhorst, Wolfram Burgard, Michael Tangermann (2019). Learning User Preferences for Trajectories from Brain Signals. arXiv:1909.01039 [cs, stat].

Cite arXiv URL

Petrus Wilhelmus Maria Desain, Jordy Thielen, Philip Leonardus Cornelis van den Broek, Jason David Robert Farquhar (2019). Brain computer interface using broadband evoked potentials. Google Patents.

Cite URL

Andreas Meinel, Henrich Kolkhorst, Michael Tangermann (2019). Mining within-trial oscillatory brain dynamics to address the variability of optimized spatial filters. IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Cite DOI URL

Jane E. Huggins, Christoph Guger, Erik Aarnoutse, Brendan Allison, Charles W. Anderson, Steven Bedrick, Walter Besio, Ricardo Chavarriaga, Jennifer L. Collinger, An H. Do, Christian Herff, Matthias Hohmann, Michelle Kinsella, Kyuhwa Lee, Fabien Lotte, Gernot Müller-, Anton Nijholt, Elmar Pels, Betts Peters, Felix Putze, Rüdiger Rupp, Gerwin Schalk, Stephanie Scott, Michael Tangermann, Paul Tubig, Thorsten O. Zander (2019). Workshops of the seventh international brain-computer interface meeting: not getting lost in translation. Brain-Computer Interfaces.

Cite DOI URL

David Hübner, Albrecht Schall, Michael Tangermann (2019). Two Player Online Brain-Controlled Chess. Proc. 41th Int. Conf. of the IEEE Eng. in Medicine and Biology Soc. (EMBC).

Cite DOI

David Hübner, Pieter-Jan Kindermans, Thibault Verhoeven, Klaus-Robert Müller, Michael Tangermann (2019). Rethinking BCI paradigm and machine learning algorithm as a symbiosis: zero calibration, guaranteed convergence and high decoding performance. Brain-Computer Interface Research: A State-of-the-Art Summary 7.

Cite DOI

Sebastián Castaño-Candamil, Andreas Meinel, Michael Tangermann (2019). Post-hoc Labeling of Arbitrary M/EEG Recordings for Data-Efficient Evaluation of Neural Decoding Methods. Frontiers in Neuroinformatics.

Cite DOI URL

Jordy Thielen, Sander E Bosch, Tessa M van Leeuwen, Marcel AJ van Gerven, Rob van Lier (2019). Neuroimaging findings on amodal completion: A review. i-Perception.

Cite DOI URL

Michael Tangermann (2019). Maschinelles Lernen. Mensch-Maschine-Interaktion.

Cite DOI

Henrich Kolkhorst, Saku Kärkkäinen, Amund Faller Raheim, Wolfram Burgard, Michael Tangermann (2019). Influence of User Tasks on EEG-Based Classification Performance in a Hazard Detection Paradigm. Proc. 41th Int. Conf. of the IEEE Eng. in Medicine and Biology Soc. (EMBC).

Cite DOI

Jan Sosulski, Michael Tangermann (2019). Extremely Reduced Data Sets Indicate Optimal Stimulation Parameters for Classification in Brain-Computer Interfaces. Proc. 41th Int. Conf. of the IEEE Eng. in Medicine and Biology Soc. (EMBC).

Cite DOI URL

Jordy Thielen, Sander E Bosch, Tessa M van Leeuwen, Marcel AJ van Gerven, Rob van Lier (2019). Evidence for confounding eye movements under attempted fixation and active viewing in cognitive neuroscience. Scientific Reports.

Cite DOI URL

Jordy Thielen, Umut Güçlü, Yagmur Güçlütürk, Luca Ambrogioni, Sander E Bosch, Marcel AJ van Gerven (2019). DeepRF: Ultrafast population receptive field mapping with deep learning. bioRxiv.

Cite DOI URL

Sebastián Castaño-Candamil, Tobias Piroth, Peter Reinacher, Bastian Sajonz, Volker A. Coenen, Michael Tangermann (2019). An Easy-to-Use and Fast Assessment of Patient-Specific DBS-induced Changes in Hand Motor Control in Parkinson's Disease. IEEE Transactions on Neural Systems and Rehabilitation Engineering.

Cite DOI URL

Sebastián Castaño-Candamil, Mara Vaihinger, Michael Tangermann (2019). A Simulated Environment for Early Development Stages of Reinforcement Learning Algorithms for Closed-Loop Deep Brain Stimulation. Proc. 41th Int. Conf. of the IEEE Eng. in Medicine and Biology Soc. (EMBC).

Cite DOI URL

David Hübner, Albrecht Schall, Natalie Prange, Michael Tangermann (2018). Eyes-Closed Increases the Usability of Brain-Computer Interfaces Based on Auditory Event-Related Potentials. Frontiers Human Neuroscience.

Cite DOI URL

Andreas Meinel, Sebastián Castaño-Candamil, Benjamin Blankertz, Fabien Lotte, Michael Tangermann (2018). Characterizing Regularization Techniques for Spatial Filter Optimization in Oscillatory EEG Regression Problems. Springer Neuroinformatics.

Cite DOI URL

David Hübner, Thibault Verhoeven, Klaus-Robert Müller, Pieter-Jan Kindermans, Michael Tangermann (2018). Unsupervised Learning for Brain-Computer Interfaces Based on Event-Related Potentials: Review and Online Comparison [Research Frontier]. IEEE Computational Intelligence Magazine.

Cite DOI

Jan Sosulski, David Hübner, Michael Tangermann (2018). 2-D-27 Closed-loop stimulus parameter optimization framework for event-related potential paradigms. Proc. Seventh Int. BCI Meeting– BCIs: Not Getting Lost in Translation.

Cite

David Hübner, Sarah Schwarzkopf, Mariacristina Musso, Michael Tangermann (2018). 2-D-25 BCI-based language training induces changes in ERP responses in chronic post-stroke aphasia patients. Proc. Seventh Int. BCI Meeting– BCIs: Not Getting Lost in Translation.

Cite

Benjamin Ferleger, Sebastián Castaño-Candamil, Andrew Haddock, Brady Houston, Michael Tangermann, Howard Chizeck (2018). 2-A-2 Adaptive deep brain stimulation: Optimization of treatment in essential tremor using electrocorticography data. Proc. Seventh Int. BCI Meeting– BCIs: Not Getting Lost in Translation.

Cite

Sebastián Castaño-Candamil, Andreas Meinel, Michael Tangermann (2018). 1-F-54 Post-hoc labeling of arbitrary EEG recordings for data-efficient evaluation of neural decoding methods. Proc. Seventh Int. BCI Meeting– BCIs: Not Getting Lost in Translation.

Cite

Pieter-Jan Kindermans, David Hübner, Thibault Verhoeven, Klaus-Robert Müller, Michael Tangermann (2018). Unsupervised learning for brain–computer interfaces based on event-related potentials. Signal Processing and Machine Learning for Brain-Machine Interfaces.

Cite

Jordy Thielen, Rob van Lier, Marcel van Gerven (2018). No evidence for confounding orientation-dependent fixational eye movements under baseline conditions. Scientific Reports.

Cite DOI URL

Henrich Kolkhorst, Michael Tangermann, Wolfram Burgard (2018). Guess What I Attend: Interface-free Object Selection Using Brain Signals. Proc. 2018 IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS).

Cite

Sebastián Castaño-Candamil, Andreas Meinel, Michael Tangermann (2017). Post-hoc labeling of arbitrary EEG recordings for data-efficient evaluation of neural decoding methods. ArXiv e-prints.

Cite arXiv URL

Andreas Meinel, Fabien Lotte, Michael Tangermann (2017). Tikhonov Regularization Enhances EEG-Based Spatial Filtering For Single-Trial Regression. Proceedings of the 7th Graz Brain-Computer Interface Conference 2017.

Cite DOI

Henrich Kolkhorst, Wolfram Burgard, Michael Tangermann (2017). Decoding Hazardous Events in Driving Videos. Proceedings of the 7th Graz Brain-Computer Interface Conference 2017.

Cite DOI

Robin Tibor Schirrmeister, Jost Tobias Springenberg, Lukas Dominique Josef Fiederer, Martin Glasstetter, Katharina Eggensperger, Michael Tangermann, Frank Hutter, Wolfram Burgard, Tonio Ball (2017). Deep Learning with Convolutional Neural Networks for EEG Decoding and Visualization. Human Brain Mapping.

Cite DOI URL

Thibault Verhoeven, David Hübner, Michael Tangermann, Klaus-Robert Müller, Joni Dambre, Pieter-Jan Kindermans (2017). Improving zero-training brain-computer interfaces by mixing model estimators. Journal of Neural Engineering.

Cite URL

Robin Tibor Schirrmeister, Jost Tobias Springenberg, Lukas Dominique Josef Fiederer, Martin Glasstetter, Katharina Eggensperger, Michael Tangermann, Frank Hutter, Wolfram Burgard, Tonio Ball (2017). Deep learning with convolutional neural networks for brain mapping and decoding of movement-related information from the human EEG. ArXiv e-prints.

Cite arXiv URL

Jane E. Huggins, Christoph Guger, Mounia Ziat, Thorsten O. Zander, Denise Taylor, Michael Tangermann, Aureli Soria-Frisch, John Simeral, Reinhold Scherer, Rüdiger Rupp, Giulio Ruffini, Douglas K. R. Robinson, Nick F. Ramsey, Anton Nijholt, Gernot Müller-Putz, Dennis J. McFarland, Donatella Mattia, Brent J. Lance, Pieter-Jan Kindermans, Iñaki Iturrate, Christian Herff, Disha Gupta, An H. Do, Jennifer L. Collinger, Ricardo Chavarriaga, Steven M. Chase, Martin G. Bleichner, Aaron Batista, Charles W. Anderson, Erik J. Aarnoutse (2017). Workshops of the Sixth International Brain--Computer Interface Meeting: brain--computer interfaces past, present, and future. Brain-Computer Interfaces.

Cite DOI URL

Andreas Meinel, Thorsten Koller, Michael Tangermann (2017). Time-Frequency Sensitivity Characterization of Single-Trial Oscillatory EEG Components. The First Biannual Neuroadaptive Technology Conference.

Cite

Sebastián Castaño-Candamil, Michael Tangermann (2017). Subspace Decomposition in the Frequency Domain. Proceedings of the 7th Graz Brain-Computer Interface Conference (GBCIC 2017).

Cite DOI

Jordy Thielen, P Marsman, Jason Farquhar, Peter Desain (2017). Re(con)volution: accurate response prediction for broad-band evoked potentials-based brain computer interfaces. Brain-Computer Interface Research.

Cite DOI URL

David Hübner, Thibault Verhoeven, Pieter-Jan Kindermans, Michael Tangermann (2017). Mixing two unsupervised estimators for event-related potential decoding: An online evaluation. Proceedings of the 7th International Brain-Computer Interface Meeting 2017: From Vision to Reality.

Cite DOI

David Hübner, Tibault Verhoeven, Konstantin Schmid, Klaus-Robert Müller, Michael Tangermann, Pieter-Jan Kindermans (2017). Learning from Label Proportions in Brain-Computer Interfaces: Online Unsupervised Learning with Guarantees. ArXiv e-prints.

Cite arXiv URL

David Hübner, Thibault Verhoeven, Konstantin Schmid, Klaus-Robert Müller, Michael Tangermann, Pieter-Jan Kindermans (2017). Learning from label proportions in brain-computer interfaces: online unsupervised learning with guarantees. PloS ONE.

Cite

David Hübner, Thibault Verhoeven, Konstantin Schmid, Klaus-Robert Müller, Michael Tangermann, Pieter-Jan Kindermans (2017). Learning from Label Proportions in BCI -- a Symbiotic Design for Stimulus Preservation and Signal Decoding. The First Biannual Neuroadaptive Technology Conference.

Cite

Michael Tangermann, Andreas Meinel (2017). Informative Oscillatory EEG Components and their Persistence in Time and Frequency. NEUROTECHNIX 2017 - Extended Abstracts.

Cite

David Hübner, Pieter-Jan Kindermans, Thibault Verhoeven, Michael Tangermann (2017). Improving learning from label proportions by reducing the feature dimensionality. Proceedings of the 7th International Brain-Computer Interface Meeting 2017: From Vision to Reality.

Cite DOI

Anne-Marie Brouwer, Maarten A. Hogervorst, Bob Oudejans, Anthony J. Ries, Jonathan Touryan (2017). EEG and Eye Tracking Signatures of Target Encoding during Structured Visual Search. Frontiers in Human Neuroscience.

Cite DOI

Robin Tibor Schirrmeister, Lukas Dominique Josef Fiederer, Jost Tobias Springenberg, Martin Glasstetter, Katharina Eggensperger, Michael Tangermann, Frank Hutter, Wolfram Burgard, Tonio Ball (2017). Designing and Understanding Convolutional Networks for Decoding Executed Movements from EEG. The First Biannual Neuroadaptive Technology Conference.

Cite

Henrich Kolkhorst, Michael Tangermann, Wolfram Burgard (2017). Decoding Perceived Hazardousness from User's Brain States to Shape Human-Robot Interaction. Proceedings of the Companion of the 2017 ACM/IEEE International Conference on Human-Robot Interaction.

Cite DOI URL

Sebastián Castaño-Candamil, Soheil Mottaghi, Volker A. Coenen, Ulrich G. Hofmann, Michael Tangermann (2017). Closed-Loop Deep Brain Stimulation System for an Animal Model of Parkinson's Disease: A Pilot Study. Proceedings of the 7th Graz Brain-Computer Interface Conference (GBCIC 2017).

Cite DOI

David Hübner, Michael Tangermann (2017). Challenging the assumption that auditory event-related potentials are independent and identically distributed. Proceedings of the 7th International Brain-Computer Interface Meeting 2017: From Vision to Reality.

Cite DOI

Jordy Thielen, Jason Farquhar, Peter Desain (2016). Re(con)volution: accurate response prediction for BBVEP-based BCI. Proceedings of the Sixth International Brain-Computer Interface Meeting: BCI Past, Present, and Future.

Cite DOI URL

Sebastián Castaño-Candamil, Sven Dähne, Michael Tangermann (2016). Relevant Frequency Estimation in EEG Recordings for Source Power Co-Modulation. Proceedings of the 6th International Brain-Computer Interface Meeting: BCI Past, Present, and Future.

Cite DOI

Andreas Meinel, Eva Maria Schlichtmann, Torsten Koller, Janine Reis, Michael Tangermann (2016). Predicting Single-Trial Motor Performance from Oscillatory EEG in Chronic Stroke Patients. Proceedings of the 6th International Brain-Computer Interface Meeting: BCI Past, Present, and Future.

Cite DOI

Andreas Meinel, Sebastián Castaño-Candamil, Janine Reis, Michael Tangermann (2016). Pre-Trial EEG-based Single-Trial Motor Performance Prediction to Enhance Neuroergonomics for a Hand Force Task. Frontiers in Human Neuroscience.

Cite DOI URL

Andreas Meinel, Katharina Eggensperger, Michael Tangermann, Frank Hutter (2016). Hyperparameter Optimization for Machine Learning Problems in BCI. Proceedings of the 6th International Brain-Computer Interface Meeting: BCI Past, Present, and Future.

Cite DOI

Atieh Bamdadian, Simone Denzer, Cristina Musso, Michael Tangermann (2016). ERP Responses of the Elderly for Bisyllabic Word Stimuli. Proceedings of the 6th International Brain-Computer Interface Meeting: BCI Past, Present, and Future.

Cite DOI

Sebastián Castaño-Candamil, Atieh Bamdadian, Sebastian Kübel, Roza Umarova, Michael Tangermann (2016). ERP Features Correlate with Reaction Time in a Covert-Attention Task. Proceedings of the 6th International Brain-Computer Interface Meeting: BCI Past, Present, and Future.

Cite DOI

Sebastián Castaño-Candamil, Volker A. Coenen, Peter Reinacher, Tobias Piroth, Michael Tangermann (2016). EP 65. DBS-induced alpha desynchronization in the subthalamic nucleus of PD patients. Clinical Neurophysiology.

Cite DOI URL

Umut Güçlü, Jordy Thielen, Michael Hanke, Marcel van Gerven (2016). Brains on Beats. Advances in Neural Information Processing Systems.

Cite DOI URL

Roza Umarova, Sebastián Castaño-Candamil, Atieh Bamdadian, Sebastian Kübel, Mariacristina Musso, Stefan Kloeppel, Michael Tangermann (2016). BCI-Approach for Cognitive Rehabilitation in Stroke: Pilot Data from Patient with Spatial Neglect. Proceedings of the 6th International Brain-Computer Interface Meeting: BCI Past, Present, and Future.

Cite DOI

Johannes Meyer, Andreas Meinel, Thomas Schreiner, Björn Rasch, Michael Tangermann (2016). Abstracts der 24. Jahrestagung der DGSM -- P26 Versuchspersonenunabhängige Single-Trial-Erkennung von langsamen Wellen im Schlaf-EEG. Somnologie.

Cite DOI URL

Karl Marrett, Mark Wronkiewicz, Michael Tangermann, Adrian Kc Lee (2016). A User-Focused Study of Auditory P300 Brain-Computer Interface Design. Proceedings of the 6th International Brain-Computer Interface Meeting: BCI Past, Present, and Future.

Cite DOI

Mariacristina Musso, Atieh Bamdadian, Simone Denzer, Roza Umarova, David Hübner, Michael Tangermann (2016). A novel BCI based rehabilitation approach for aphasia rehabilitation. Proceedings of the 6th International Brain-Computer Interface Meeting: Past, Present, and Future.

Cite DOI

Gernot Müller-Putz, Robert Leeb, Michael Tangermann, Johannes Höhne, Andrea Kübler, Febo Cincotti, Donatella Mattia, Rüdiger Rupp, Klaus-Robert Müller, José del R. Millán (2015). Towards Non-Invasive Hybrid Brain-Computer Interfaces: Framework, Practice, Clinical Application and Beyond. Proceedings of the IEEE.

Cite DOI URL

Atieh Bamdadian, Cuntai Guan, Kai Keng Ang, Jianxin Xu (2015). Towards Improvement of MI-BCI Performance of Subjects with BCI Deficiency. Proc. Int. IEEE Conf. on Neural Eng. (NER).

Cite DOI

Andreas Meinel, Juan Sebastián Castaño-Candamil, Sven Dähne, Janine Reis, Michael Tangermann (2015). EEG Band Power Predicts Single-Trial Reaction Time in a Hand Motor Task. Proc. Int. IEEE Conf. on Neural Eng. (NER).

Cite DOI

Sebastián Castaño-Candamil, Johannes Höhne, Juan-David Martinez-Vargas, Xing-Wei An, German Castellanos-Dominguez, Stefan Haufe (2015). Solving the EEG inverse problem based on space-time-frequency structured sparsity constraints. NeuroImage.

Cite DOI URL

Juan Sebastián Castaño-Candamil, Andreas Meinel, Sven Dähne, Michael Tangermann (2015). Probing Meaningfulness of Oscillatory EEG Components with Bootstrapping, Label Noise and Reduced Training Sets. Proc. 37th Int. Conf. of the IEEE Eng. in Medicine and Biology Soc. (EMBC).

Cite

Sebastián Castaño-Candamil, Andreas Meinel, Janine Reis, Michael Tangermann (2015). P186. Correlates to influence user performance in a hand motor rehabilitation task. Clinical Neurophysiology.

Cite DOI URL

Irene Winkler, Stefan Debener, Klaus-Robert Müller, Michael Tangermann (2015). On the Influence of High-Pass Filtering on ICA-Based Artifact Reduction in EEG-ERP. Proc. 37th Int. Conf. of the IEEE Eng. in Medicine and Biology Soc. (EMBC).

Cite

Pieter-Jan Kindermans, Michael Tangermann, Martijn Schreuder, Mikio Braun, Klaus-Robert Müller (2015). Improving our understanding of transfer-learning in ERP based BCI. MLINI Workshop at NIPS 2015.

Cite

Michael Tangermann, Janine Reis, Andreas Meinel (2015). Commonalities of Motor Performance Metrics are Revealed by Predictive Oscillatory EEG Components. Proceedings of the 3rd International Congress on Neurotechnology, Electronics and Informatics (NEUROTECHNIX).

Cite DOI

Jordy Thielen, Philip van den Broek, Jason Farquhar, Peter Desain (2015). Broad-band visually evoked potentials: re(con)volution in brain-computer interfacing. PLOS One.

Cite DOI URL

Johannes Höhne, Elisa Holz, Pit Staiger-Sälzer, Klaus-Robert Müller, Andrea Kübler, Michael Tangermann (2014). Motor Imagery for Severely Motor-Impaired Patients: Evidence for Brain-Computer Interfacing as Superior Control Solution. PLoS ONE.

Cite DOI URL

Pieter-Jan Kindermans, Martijn Schreuder, Benjamin Schrauwen, Klaus-Robert Müller, Michael Tangermann (2014). True Zero-Training Brain-Computer Interfacing -- An Online Study. PLoS ONE.

Cite DOI URL

Jane E. Huggins, Christoph Guger, Brendan Allison, Charles W. Anderson, Aaron Batista, Anne-Marie Brouwer, Clemens Brunner, Ricardo Chavarriaga, Melanie Fried-Oken, Aysegul Gunduz, Disha Gupta, Andrea Kübler, Robert Leeb, Fabien Lotte, Lee E. Miller, Gernot Müller-Putz, Tomasz Rutkowski, Michael Tangermann, David Edward Thompson (2014). Workshops of the fifth international brain-computer interface meeting: Defining the future. Brain-Computer Interfaces.

Cite

Pieter-Jan Kindermans, Benjamin Schrauwen, Benjamin Blankertz, Klaus-Robert Müller, Michael Tangermann (2014). Transferring Unsupervised Adaptive Classifiers Between Users of a Spatial Auditory Brain-Computer Interface. Proceedings of the 6th International Brain-Computer Interface Conference.

Cite DOI

Johannes Höhne, Michael Tangermann (2014). Towards User-friendly Spelling with an Auditory Brain-Computer Interface: The CharStreamer Paradigm. PLoS ONE.

Cite DOI

Michael Tangermann, Norah Schnorr, Mariacristina Musso (2014). Towards Aphasia Rehabilitation with BCI. Proceedings of the 6th International Brain-Computer Interface Conference 2014.

Cite DOI

Irene Winkler, Stephanie Brandl, Franziska Horn, Eric Waldburger, Carsten Allefeld, Michael Tangermann (2014). Robust artifactual independent component classification for BCI practitioners. Journal of Neural Engineering.

Cite URL

Johannes Höhne, Michael Tangermann (2014). P827: Beyond P300: an auditory ERP paradigm with sequential stimulation. Clinical Neurophysiology.

Cite DOI URL

Michael Tangermann, Katja Müller, Aleke Nolte, Julia Schumacher, Paul Zhutovsky, Benjamin Blankertz (2014). P374: Detecting spatial auditory attention in cocktail-party situations. *Clinical Neurophysiology *.

Cite DOI URL

Pieter-Jan Kindermans, Michael Tangermann, Klaus-Robert Müller, Benjamin Schrauwen (2014). Integrating dynamic stopping, transfer learning and language models in an adaptive zero-training ERP speller. Journal of Neural Engineering.

Cite URL

Anne-Marie Brouwer, Boris Reuderink, Joris Vincent, Marcel A. J. van Gerven, Jan B. F. van Erp (2013). Distinguishing between Target and Nontarget Fixations in a Visual Search Task Using Fixation-Related Potentials. Journal of Vision.

Cite DOI

Anne K. Porbadnigk, Matthias S. Treder, Siamac Fazli, Michael Tangermann, Carmen Vidaurre, Stefan Haufe, Gabriel Curio, Benjamin Blankertz, Klaus-Robert Müller (2013). Decoding cognitive brain states. Brain-Computer Interface (BCI), 2013 International Winter Workshop on.

Cite DOI URL

Michael Tangermann, Pieter-Jan Kindermans, Martijn Schreuder, Benjamin Schrauwen, Klaus-Robert Müller (2013). Zero Training for BCI -- Reality for BCI Systems Based on Event-Related Potentials. Proceedings BMT (Biomedizinische Technik) 2013 – Dreiländertagung der Deutschen, Schweizerischen und Österreichischen Gesellschaft für Biomedizinische Technik.

Cite DOI URL

Martijn Schreuder, Angela Riccio, Monica Risetti, Sven Dähne, Andrew Ramsey, John Williamson, Donatella Mattia, Michael Tangermann (2013). User-Centered Design in Brain-Computer Interfaces - a Case Study. Artificial Intelligence in Medicine.

Cite DOI URL

Gernot R. Müller-Putz, Martijn Schreuder, Michael Tangermann, Robert Leeb, José del R. Millán (2013). The hybrid Brain-Computer Interface: a bridge to assistive technology?. Proceedings BMT (Biomedizinische Technik) 2013 – Dreiländertagung der Deutschen, Schweizerischen und Österreichischen Gesellschaft für Biomedizinische Technik.

Cite DOI

Martijn Schreuder, Johannes Höhne, Benjamin Blankertz, Stefan Haufe, Thorsten Dickhaus, Michael Tangermann (2013). Optimizing ERP Based BCI - a Systematic Evaluation of Dynamic Stopping Methods. Journal of Neural Engineering.

Cite DOI

Andrea Kübler, Donatelle Mattia, Rüdiger Rupp, Michael Tangermann (2013). Facing the challenge: Bringing brain-computer interfaces to end-users. Artificial Intelligence in Medicine.

Cite DOI

Elisa Mira Holz, Johannes Höhne, Pit Staiger-Sälzer, Michael Tangermann, Andrea Kübler (2013). Brain-computer interface controlled gaming: Evaluation of usability by severely motor restricted end-users. Artificial Intelligence in Medicine.

Cite DOI

Michael Tangermann, Johannes Höhne, Heiko Stecher, Martijn Schreuder (2012). No surprise-fixed sequence event-related potentials for brain-computer interfaces. 2012 Annual International Conference of the IEEE Engineering in Medicine and Biology Society.

Cite

Florian P. Losch, Michael Tangermann, Gabriel Curio (2012). Erste Ergebnisse wiederholter Brain-Computer Interface (BCI) Messungen bei einer langjährig vollständig gelähmten ALS-Patientin. Klinische Neurophysiologie.

Cite DOI

Carmen Vidaurre, Andrea Kübler, Michael Tangermann, Klaus-Robert Müller, José del R. Millán (2011). Brain-Computer Interfaces and Visual Activity. Gaze Interaction and Applications of Eye Tracking: Advances in Assistive Technologies: Advances in Assistive Technologies.

Cite DOI URL