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David Hubner
Albrecht Schall
Michael Tangermann

Showing results (1-10 of 63) with videos related to

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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
Two Player Online Brain-Controlled ChessDavid Hubner, Albrecht Schall, Michael Tangermann
Frontiers in Human Neuroscience|October 17, 2018
Eyes-Closed Increases the Usability of Brain-Computer Interfaces Based on Auditory Event-Related PotentialsDavid Hübner, Albrecht Schall, Natalie Prange, et al.
Journal of Neural Engineering|October 21, 2022
Introducing block-Toeplitz covariance matrices to remaster linear discriminant analysis for event-related potential brain-computer interfacesJan Sosulski, Michael Tangermann
Plos One|June 3, 2014
Towards user-friendly spelling with an auditory brain-computer interface: the CharStreamer paradigmJohannes Höhne, Michael Tangermann
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
Extremely Reduced Data Sets Indicate Optimal Stimulation Parameters for Classification in Brain-Computer InterfacesJan Sosulski, Michael Tangermann
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
How stimulation speed affects Event-Related Potentials and BCI performanceJohannes Höhne, Michael Tangermann
Frontiers in Neuroscience|October 22, 2011
Listen, You are Writing! Speeding up Online Spelling with a Dynamic Auditory BCIMartijn Schreuder, Thomas Rost, Michael Tangermann
Plos One|January 31, 2024
Estimating person-specific neural correlates of mental rotation: A machine learning approachSinan Uslu, Michael Tangermann, Claus Vögele
Journal of Neural Engineering|October 21, 2024
Review of deep representation learning techniques for brain-computer interfacesPierre Guetschel, Sara Ahmadi, Michael Tangermann
Behavioral and Brain Functions : BBF|August 4, 2011
Automatic classification of artifactual ICA-components for artifact removal in EEG signalsIrene Winkler, Stefan Haufe, Michael Tangermann
Pageof 7

Showing results (1-10 of 63) with videos related to

Sort By:
Pageof 7
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
Two Player Online Brain-Controlled ChessDavid Hubner, Albrecht Schall, Michael Tangermann
Frontiers in Human Neuroscience|October 17, 2018
Eyes-Closed Increases the Usability of Brain-Computer Interfaces Based on Auditory Event-Related PotentialsDavid Hübner, Albrecht Schall, Natalie Prange, et al.
Journal of Neural Engineering|October 21, 2022
Introducing block-Toeplitz covariance matrices to remaster linear discriminant analysis for event-related potential brain-computer interfacesJan Sosulski, Michael Tangermann
Plos One|June 3, 2014
Towards user-friendly spelling with an auditory brain-computer interface: the CharStreamer paradigmJohannes Höhne, Michael Tangermann
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
Extremely Reduced Data Sets Indicate Optimal Stimulation Parameters for Classification in Brain-Computer InterfacesJan Sosulski, Michael Tangermann
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|February 1, 2013
How stimulation speed affects Event-Related Potentials and BCI performanceJohannes Höhne, Michael Tangermann
Frontiers in Neuroscience|October 22, 2011
Listen, You are Writing! Speeding up Online Spelling with a Dynamic Auditory BCIMartijn Schreuder, Thomas Rost, Michael Tangermann
Plos One|January 31, 2024
Estimating person-specific neural correlates of mental rotation: A machine learning approachSinan Uslu, Michael Tangermann, Claus Vögele
Journal of Neural Engineering|October 21, 2024
Review of deep representation learning techniques for brain-computer interfacesPierre Guetschel, Sara Ahmadi, Michael Tangermann
Behavioral and Brain Functions : BBF|August 4, 2011
Automatic classification of artifactual ICA-components for artifact removal in EEG signalsIrene Winkler, Stefan Haufe, Michael Tangermann
Pageof 7