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Michael Tangermann

Showing results (21-30 of 61) with videos related to

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Artificial Intelligence in Medicine|October 1, 2013
Facing the challenge: bringing brain-computer interfaces to end-usersAndrea Kübler, Donatella Mattia, Rüdiger Rupp, et al.
Plos One|August 14, 2008
Towards zero training for brain-computer interfacingMatthias Krauledat, Michael Tangermann, Benjamin Blankertz, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
On the influence of high-pass filtering on ICA-based artifact reduction in EEG-ERPIrene Winkler, Stefan Debener, Klaus-Robert Müller, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Probing meaningfulness of oscillatory EEG components with bootstrapping, label noise and reduced training setsSebastián Castaño-Candamil, Andreas Meinel, Sven Dähne, et al.
Frontiers in Human Neuroscience|May 21, 2016
Pre-Trial EEG-Based Single-Trial Motor Performance Prediction to Enhance Neuroergonomics for a Hand Force TaskAndreas Meinel, Sebastián Castaño-Candamil, Janine Reis, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Performance optimization of ERP-based BCIs using dynamic stoppingMartijn Schreuder, Johannes Hohne, Matthias Treder, et al.
Journal of Neural Engineering|May 20, 2014
Integrating dynamic stopping, transfer learning and language models in an adaptive zero-training ERP spellerPieter-Jan Kindermans, Michael Tangermann, Klaus-Robert Müller, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|August 26, 2021
Manipulating Single-Trial Motor Performance in Chronic Stroke Patients by Closed-Loop Brain State InteractionAndreas Meinel, Jan Sosulski, Stephan Schraivogel, et al.
Frontiers in Computational Neuroscience|July 8, 2022
Editorial: Brain-Computer Interfaces: Novel Applications and Interactive TechnologiesJesus Minguillon, Ivan Volosyak, Christoph Guger, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Influence of User Tasks on EEG-based Classification Performance in a Hazard Detection ParadigmHenrich Kolkhorst, Saku Karkkainen, Amund Faller Raheim, et al.
Pageof 7

Showing results (21-30 of 61) with videos related to

Sort By:
Pageof 7
Artificial Intelligence in Medicine|October 1, 2013
Facing the challenge: bringing brain-computer interfaces to end-usersAndrea Kübler, Donatella Mattia, Rüdiger Rupp, et al.
Plos One|August 14, 2008
Towards zero training for brain-computer interfacingMatthias Krauledat, Michael Tangermann, Benjamin Blankertz, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
On the influence of high-pass filtering on ICA-based artifact reduction in EEG-ERPIrene Winkler, Stefan Debener, Klaus-Robert Müller, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 7, 2016
Probing meaningfulness of oscillatory EEG components with bootstrapping, label noise and reduced training setsSebastián Castaño-Candamil, Andreas Meinel, Sven Dähne, et al.
Frontiers in Human Neuroscience|May 21, 2016
Pre-Trial EEG-Based Single-Trial Motor Performance Prediction to Enhance Neuroergonomics for a Hand Force TaskAndreas Meinel, Sebastián Castaño-Candamil, Janine Reis, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 19, 2012
Performance optimization of ERP-based BCIs using dynamic stoppingMartijn Schreuder, Johannes Hohne, Matthias Treder, et al.
Journal of Neural Engineering|May 20, 2014
Integrating dynamic stopping, transfer learning and language models in an adaptive zero-training ERP spellerPieter-Jan Kindermans, Michael Tangermann, Klaus-Robert Müller, et al.
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|August 26, 2021
Manipulating Single-Trial Motor Performance in Chronic Stroke Patients by Closed-Loop Brain State InteractionAndreas Meinel, Jan Sosulski, Stephan Schraivogel, et al.
Frontiers in Computational Neuroscience|July 8, 2022
Editorial: Brain-Computer Interfaces: Novel Applications and Interactive TechnologiesJesus Minguillon, Ivan Volosyak, Christoph Guger, et al.
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 18, 2020
Influence of User Tasks on EEG-based Classification Performance in a Hazard Detection ParadigmHenrich Kolkhorst, Saku Karkkainen, Amund Faller Raheim, et al.
Pageof 7