Hasil Pencarian - Michael Tangermann

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  1. 1
    Post-hoc Labeling of Arbitrary M/EEG Recordings for Data-Efficient Evaluation of Neural Decoding Methods

    Post-hoc Labeling of Arbitrary M/EEG Recordings for Data-Efficient Evaluation of Neural Decoding Methods oleh Sebastián Castaño-Candamil, Andreas Meinel, Michael Tangermann, Michael Tangermann

    Diterbitkan 2019-08-01
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  2. 2
    Towards user-friendly spelling with an auditory brain-computer interface: the CharStreamer paradigm.

    Towards user-friendly spelling with an auditory brain-computer interface: the CharStreamer paradigm. oleh Johannes Höhne, Michael Tangermann

    Diterbitkan 2014-01-01
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  3. 3
    Eyes-Closed Increases the Usability of Brain-Computer Interfaces Based on Auditory Event-Related Potentials

    Eyes-Closed Increases the Usability of Brain-Computer Interfaces Based on Auditory Event-Related Potentials oleh David Hübner, David Hübner, Albrecht Schall, Natalie Prange, Michael Tangermann, Michael Tangermann

    Diterbitkan 2018-09-01
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  4. 4
    A Robust Screen-Free Brain-Computer Interface for Robotic Object Selection

    A Robust Screen-Free Brain-Computer Interface for Robotic Object Selection oleh Henrich Kolkhorst, Henrich Kolkhorst, Henrich Kolkhorst, Joseline Veit, Wolfram Burgard, Wolfram Burgard, Wolfram Burgard, Michael Tangermann, Michael Tangermann, Michael Tangermann

    Diterbitkan 2020-03-01
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  5. 5
    A Pilot Study on Data-Driven Adaptive Deep Brain Stimulation in Chronically Implanted Essential Tremor Patients

    A Pilot Study on Data-Driven Adaptive Deep Brain Stimulation in Chronically Implanted Essential Tremor Patients oleh Sebastián Castaño-Candamil, Benjamin I. Ferleger, Andrew Haddock, Sarah S. Cooper, Jeffrey Herron, Andrew Ko, Howard. J. Chizeck, Michael Tangermann, Michael Tangermann, Michael Tangermann

    Diterbitkan 2020-11-01
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  6. 6
    Estimating person-specific neural correlates of mental rotation: A machine learning approach.

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

    Diterbitkan 2024-01-01
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  7. 7
    A new auditory multi-class brain-computer interface paradigm: spatial hearing as an informative cue.

    A new auditory multi-class brain-computer interface paradigm: spatial hearing as an informative cue. oleh Martijn Schreuder, Benjamin Blankertz, Michael Tangermann

    Diterbitkan 2010-01-01
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  8. 8
    Project dareplane for closed-loop deep brain stimulation

    Project dareplane for closed-loop deep brain stimulation oleh Matthias Dold, Joana Pereira, Mark Janssen, Michael Tangermann

    Diterbitkan 2023-01-01
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  9. 9
    Towards zero training for brain-computer interfacing.

    Towards zero training for brain-computer interfacing. oleh Matthias Krauledat, Michael Tangermann, Benjamin Blankertz, Klaus-Robert Müller

    Diterbitkan 2008-01-01
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  10. 10
    Editorial: Brain-Computer Interfaces: Novel Applications and Interactive Technologies

    Editorial: Brain-Computer Interfaces: Novel Applications and Interactive Technologies oleh Jesus Minguillon, Ivan Volosyak, Christoph Guger, Michael Tangermann, Miguel Angel Lopez

    Diterbitkan 2022-06-01
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  11. 11
    True zero-training brain-computer interfacing--an online study.

    True zero-training brain-computer interfacing--an online study. oleh Pieter-Jan Kindermans, Martijn Schreuder, Benjamin Schrauwen, Klaus-Robert Müller, Michael Tangermann

    Diterbitkan 2014-01-01
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  12. 12
    Electrophysiological footprint of slMFB-DBS in depression – study design and preliminary results

    Electrophysiological footprint of slMFB-DBS in depression – study design and preliminary results oleh Joana Pereira, Matthias Dold, Bastian Sajonz, Thomas E. Schlaepfer, Michael Tangermann, Volker A. Coenen

    Diterbitkan 2023-01-01
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  13. 13
    Learning from label proportions in brain-computer interfaces: Online unsupervised learning with guarantees.

    Learning from label proportions in brain-computer interfaces: Online unsupervised learning with guarantees. oleh David Hübner, Thibault Verhoeven, Konstantin Schmid, Klaus-Robert Müller, Michael Tangermann, Pieter-Jan Kindermans

    Diterbitkan 2017-01-01
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  14. 14
    Identifying controllable cortical neural markers with machine learning for adaptive deep brain stimulation in Parkinson’s disease

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

    Diterbitkan 2020-01-01
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  15. 15
    Motor imagery for severely motor-impaired patients: evidence for brain-computer interfacing as superior control solution.

    Motor imagery for severely motor-impaired patients: evidence for brain-computer interfacing as superior control solution. oleh Johannes Höhne, Elisa Holz, Pit Staiger-Sälzer, Klaus-Robert Müller, Andrea Kübler, Michael Tangermann

    Diterbitkan 2014-01-01
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  16. 16
    The Berlin Brain-Computer Interface: Non-Medical Uses of BCI Technology

    The Berlin Brain-Computer Interface: Non-Medical Uses of BCI Technology oleh Benjamin Blankertz, Benjamin Blankertz, Michael Tangermann, Carmen Vidaurre, Siamac Fazli, Claudia Sannelli, Stefan Haufe, Cecilia Maeder, Lenny E Ramsey, Irene Sturm, Gabriel Curio, Klaus R Mueller

    Diterbitkan 2010-12-01
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  17. 17
    Combining Brain-Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges

    Combining Brain-Computer Interfaces and Assistive Technologies: State-of-the-Art and Challenges oleh José del R. Millán, Rüdiger Rupp, Gernot Mueller-Putz, Roderick Murray-Smith, Claudio Giugliemma, Michael Tangermann, Carmen Vidaurre, Febo Cincotti, Andrea Kubler, Robert Leeb, Christa Neuper, Klaus R Mueller, Donatella Mattia

    Diterbitkan 2010-09-01
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