Towards the restoration of hand grasp function of quadriplegic patients based on an artificial neural net controller using peripheral nerve stimulation - an approach. - Martin Bogdan; Michael Schröder 002; Wolfgang Rosenstiel (ESANN, 2003)

Methods Towards Invasive Human Brain Computer Interfaces. - Thomas Navin Lal; Thilo Hinterberger; Guido Widman; Michael Schröder 002; N. Jeremy Hill; Wolfgang Rosenstiel; Christian Erich Elger; Bernhard Schölkopf; Niels Birbaumer (NIPS, 2004)

The BCI competition 2003: progress and perspectives in detection and discrimination of EEG single trials. - Benjamin Blankertz; Klaus-Robert Müller; Gabriel Curio; Theresa M. Vaughan; Gerwin Schalk; Jonathan R. Wolpaw; Alois Schlögl; Christa Neuper; Gert Pfurtscheller; Thilo Hinterberger; Michael Schröder 002; Niels Birbaumer (IEEE Trans. Biomed. Eng., 2004)

Support vector channel selection in BCI. - Thomas Navin Lal; Michael Schröder 002; Thilo Hinterberger; Jason Weston; Martin Bogdan; Niels Birbaumer; Bernhard Schölkopf (IEEE Trans. Biomed. Eng., 2004)

Feature selection for high-dimensional industrial data. - Michael Bensch; Michael Schröder 002; Martin Bogdan; Wolfgang Rosenstiel (ESANN, 2005)

A brain computer interface with online feedback based on magnetoencephalography. - Thomas Navin Lal; Michael Schröder 002; N. Jeremy Hill; Hubert Preißl; Thilo Hinterberger; Jürgen Mellinger; Martin Bogdan; Wolfgang Rosenstiel; Thomas Hofmann; Niels Birbaumer; Bernhard Schölkopf (ICML, 2005)

Robust EEG Channel Selection across Subjects for Brain-Computer Interfaces. - Michael Schröder 002; Thomas Navin Lal; Thilo Hinterberger; Martin Bogdan; N. Jeremy Hill; Niels Birbaumer; Wolfgang Rosenstiel; Bernhard Schölkopf (EURASIP J. Adv. Signal Process., 2005)

Classifying Event-Related Desynchronization in EEG, ECoG and MEG Signals. - N. Jeremy Hill; Thomas Navin Lal; Michael Schröder 002; Thilo Hinterberger; Guido Widman; Christian Erich Elger; Bernhard Schölkopf; Niels Birbaumer (DAGM-Symposium, 2006)

On-line Differentiation Of Neuroelectric Activities: Algorithms And applications. - Matthias Krauledat; Benjamin Blankertz; Guido Dornhege; Michael Tangermann; Gabriel Curio; Klaus-Robert Müller (EMBC (Supplement), 2006)

Reducing Calibration Time For Brain-Computer Interfaces: A Clustering Approach. - Matthias Krauledat; Michael Schröder 002; Benjamin Blankertz; Klaus-Robert Müller (NIPS, 2006)

Nessi: An EEG-Controlled Web Browser for Severely Paralyzed Patients. - Michael Bensch; Ahmed A. Karim; Jürgen Mellinger; Thilo Hinterberger; Michael Tangermann; Martin Bogdan; Wolfgang Rosenstiel; Niels Birbaumer (Comput. Intell. Neurosci., 2007)

Feature selection for brain-computer interfaces. - Michael Tangermann (2007)

Playing Pinball with non-invasive BCI. - Michael Tangermann; Matthias Krauledat; Konrad Grzeska; Max Sagebaum; Benjamin Blankertz; Carmen Vidaurre; Klaus-Robert Müller (NIPS, 2008)

The Berlin Brain-Computer Interface. - Benjamin Blankertz; Michael Tangermann; Florin Popescu; Matthias Krauledat; Siamac Fazli; Márton Dónaczy; Gabriel Curio; Klaus-Robert Müller (WCCI, 2008)

Simulating the feel of brain-computer interfaces for design, development and social interaction. - Melissa Quek; Daniel Boland; John Williamson 001; Roderick Murray-Smith; Michele Tavella; Serafeim Perdikis; Martijn Schreuder; Michael Tangermann (CHI, 2011)

Performance optimization of ERP-based BCIs using dynamic stopping. - Martijn Schreuder; Johannes Höhne; Matthias Sebastian Treder; Benjamin Blankertz; Michael Tangermann (EMBC, 2011)

Slow Feature Analysis - A Tool for Extraction of Discriminating Event-Related Potentials in Brain-Computer Interfaces. - Sven Dähne; Johannes Höhne; Martijn Schreuder; Michael Tangermann (ICANN (1), 2011)

How stimulation speed affects Event-Related Potentials and BCI performance. - Johannes Höhne; Michael Tangermann (EMBC, 2012)

Exploring the use of tactile feedback in an ERP-based auditory BCI. - Martijn Schreuder; Marieke E. Thurlings; Anne-Marie Brouwer; Jan B. F. van Erp; Michael Tangermann (EMBC, 2012)

No surprise - fixed sequence event-related potentials for brain-computer interfaces. - Michael Tangermann; Johannes Höhne; Heiko Stecher; Martijn Schreuder (EMBC, 2012)

Brain-Computer Interfaces: Beyond Medical Applications. - Jan B. F. van Erp; Fabien Lotte; Michael Tangermann (Computer, 2012)

Decoding cognitive brain states. - Anne K. Porbadnigk; Matthias Sebastian Treder; Siamac Fazli; Michael Tangermann; Carmen Vidaurre; Stefan Haufe; Gabriel Curio; Benjamin Blankertz; Klaus-Robert Müller (BCI, 2013)

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

Facing the challenge: Bringing brain-computer interfaces to end-users. - Andrea Kübler; Donatella Mattia; Rüdiger Rupp; Michael Tangermann (Artif. Intell. Medicine, 2013)

User-centered design in brain-computer interfaces - A case study. - Martijn Schreuder; Angela Riccio; Monica Risetti; Sven Dähne; Andrew Ramsay; John Williamson 001; Donatella Mattia; Michael Tangermann (Artif. Intell. Medicine, 2013)

SPoC: A novel framework for relating the amplitude of neuronal oscillations to behaviorally relevant parameters. - Sven Dähne; Frank C. Meinecke; Stefan Haufe; Johannes Höhne; Michael Tangermann; Klaus-Robert Müller; Vadim V. Nikulin (NeuroImage, 2014)

Probing meaningfulness of oscillatory EEG components with bootstrapping, label noise and reduced training sets. - Sebastián Castaño-Candamil; Andreas Meinel; Sven Dähne; Michael Tangermann (EMBC, 2015)

On the influence of high-pass filtering on ICA-based artifact reduction in EEG-ERP. - Irene Winkler; Stefan Debener; Klaus-Robert Müller; Michael Tangermann (EMBC, 2015)

EEG band power predicts single-trial reaction time in a hand motor task. - Andreas Meinel; Juan Sebastián Castaño-Candamil; Sven Dähne; Janine Reis; Michael Tangermann (NER, 2015)

Commonalities of Motor Performance Metrics are Revealed by Predictive Oscillatory EEG Components. - Michael Tangermann; Janine Reis; Andreas Meinel (NEUROTECHNIX, 2015)

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

Closed-Loop Deep brain stimulation System for an animal Model of Parkinson's disease: a Pilot Study. - Sebastián Castaño-Candamil; Soheil Mottaghi; Volker A. Coenen; Ulrich G. Hofmann; Michael Tangermann (GBCIC, 2017)

Subspace Decomposition in the frequency Domain. - Sebastián Castaño-Candamil; Michael Tangermann (GBCIC, 2017)

Improving Learning from Label proportions by Reducing the Feature Dimensionality. - David Hübner; Pieter-Jan Kindermans; Thibault Verhoeven; Michael Tangermann (GBCIC, 2017)

Challenging the Assumption that auditory Event-Related potentials are Independent and identically Distributed. - David Hübner; Michael Tangermann (GBCIC, 2017)

Mixing two Unsupervised estimators for Event-Related potential decoding: an Online Evaluation. - David Hübner; Thibault Verhoeven; Pieter-Jan Kindermans; Michael Tangermann (GBCIC, 2017)

Decoding hazardous Events in driving Videos. - Henrich Kolkhorst; Wolfram Burgard; Michael Tangermann (GBCIC, 2017)

Tikhonov Regularization enhances EEG-based Spatial filtering for single-Trial Regression. - Andreas Meinel; Fabien Lotte; Michael Tangermann (GBCIC, 2017)

Decoding Perceived Hazardousness from User's Brain States to Shape Human-Robot Interaction. - Henrich Kolkhorst; Michael Tangermann; Wolfram Burgard (HRI (Companion), 2017)

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

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

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

Guess What I Attend: Interface-Free Object Selection Using Brain Signals. - Henrich Kolkhorst; Michael Tangermann; Wolfram Burgard (IROS, 2018)

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

Method to assess the functional role of noisy brain signals by mining envelope dynamics. - Andreas Meinel; Henrich Kolkhorst; Michael Tangermann (CoRR, 2018)

A simulated environment for early development stages of reinforcement learning algorithms for closed-loop deep brain stimulation. - Sebastián Castaño-Candamil; Mara Vaihinger; Michael Tangermann (EMBC, 2019)

Two Player Online Brain-Controlled Chess. - David Hübner; Albrecht Schall; Michael Tangermann (EMBC, 2019)

Influence of User Tasks on EEG-based Classification Performance in a Hazard Detection Paradigm. - Henrich Kolkhorst; Saku Kärkkäinen; Amund Faller Raheim; Wolfram Burgard; Michael Tangermann (EMBC, 2019)

Extremely Reduced Data Sets Indicate Optimal Stimulation Parameters for Classification in Brain-Computer Interfaces. - Jan Sosulski; Michael Tangermann (EMBC, 2019)

A Simulated Environment for Studying Partial observability in Novel adaptive Deep brain stimulation. - Sebastián Castaño-Candamil; Mara Vaihinger; Michael Tangermann (GBCIC, 2019)

Heterogeneity of Event-Related Potentials in a Screen-free Brain-Computer Interface. - Henrich Kolkhorst; Joseline Veit; Wolfram Burgard; Michael Tangermann (GBCIC, 2019)

Spatial filters for auditory evoked potentials transfer between different experimental conditions. - Jan Sosulski; Michael Tangermann (GBCIC, 2019)

Learning User Preferences for Trajectories from Brain Signals. - Henrich Kolkhorst; Wolfram Burgard; Michael Tangermann (ISRR, 2019)

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

Characterizing Regularization Techniques for Spatial Filter Optimization in Oscillatory EEG Regression Problems - Guidelines Derived from Simulation and Real-World Data. - Andreas Meinel; Sebastián Castaño-Candamil; Benjamin Blankertz; Fabien Lotte; Michael Tangermann (Neuroinformatics, 2019)

Rethinking BCI Paradigm and Machine Learning Algorithm as a Symbiosis: Zero Calibration, Guaranteed Convergence and High Decoding Performance. - David Hübner; Pieter-Jan Kindermans; Thibault Verhoeven; Klaus-Robert Müller; Michael Tangermann (Brain-Computer Interface Research (7), 2019)

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

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

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

Embedding neurophysiological signals. - Pierre Guetschel; Théodore Papadopoulo; Michael Tangermann (MetroXRAINE, 2022)

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

Editorial: Brain-Computer Interfaces: Novel Applications and Interactive Technologies. - Jesus Minguillon; Ivan Volosyak; Christoph Guger; Michael Tangermann; Miguel Angel Lopez-Gordo (Frontiers Comput. Neurosci., 2022)

Identifying Good Donor Datasets for Transfer Learning Scenarios in Motor Imagery BCI. - Pierre Guetschel; Michael Tangermann (BNAIC/BENELEARN, 2023)

An embedding for EEG signals learned using a triplet loss. - Pierre Guetschel; Théodore Papadopoulo; Michael Tangermann (CoRR, 2023)

UMM: Unsupervised Mean-difference Maximization. - Jan Sosulski; Michael Tangermann (CoRR, 2023)

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

S-JEPA: towards seamless cross-dataset transfer through dynamic spatial attention. - Pierre Guetschel; Thomas Moreau 001; Michael Tangermann (CoRR, 2024)

Learning to walk on new ground: Calibration-free decoding for c-VEP BCI. - Jordy Thielen; Jan Sosulski; Michael Tangermann (CoRR, 2024)

Towards auditory attention decoding with noise-tagging: A pilot study. - H. A. Scheppink; Sara Ahmadi; Peter Desain; Michael Tangermann; Jordy Thielen (CoRR, 2024)

Synthesizing EEG Signals from Event-Related Potential Paradigms with Conditional Diffusion Models. - Guido Klein; Pierre Guetschel; Gianluigi Silvestri; Michael Tangermann (CoRR, 2024)

Approximate UMAP allows for high-rate online visualization of high-dimensional data streams. - Peter A. Wassenaar; Pierre Guetschel; Michael Tangermann (CoRR, 2024)

Review of Deep Representation Learning Techniques for Brain-Computer Interfaces and Recommendations. - Pierre Guetschel; Sara Ahmadi; Michael Tangermann (CoRR, 2024)

Interpretable and Granular Video-Based Quantification of Motor Characteristics from the Finger Tapping Test in Parkinson Disease. - Tahereh Zarrat Ehsan; Michael Tangermann; Yagmur Güçlütürk; Bastiaan R. Bloem; Luc J. W. Evers (CoRR, 2025)