Tangermann, Michael
University of Freiburg
6 papers on CoChatORCID 0000-0001-6729-0290
Most cited papers
- Verified
Deep learning with convolutional neural networks for EEG decoding and visualization
Schirrmeister, R. T., Springenberg, J. T., Fiederer, L. D. J., Glasstetter, M., Eggensperger, K., Tangermann, M., Hutter, F., Burgard, W., & Ball, T. (2017) · Human Brain Mapping
EEG and Brain-Computer InterfacesEmotion and Mood Recognition
Cited by 3,751
- Verified
Review of the BCI Competition IV
Tangermann, M., Müller, K.-R., Aertsen, A., Birbaumer, N., Braun, C., Brunner, C., Leeb, R., Mehring, C., Miller, K. J., Müller-Putz, G. R., et al. (2012) · Frontiers in Neuroscience
EEG and Brain-Computer InterfacesMuscle activation and electromyography studies
Cited by 1,288
- Verified
Brain-Computer Interfaces: Beyond Medical Applications
van Erp, J., Lotte, F., & Tangermann, M. (2012) · Computer
EEG and Brain-Computer InterfacesGaze Tracking and Assistive Technology
Cited by 362
- Verified
The Berlin Brain–Computer Interface: Non-Medical Uses of BCI Technology
Blankertz, B., Tangermann, M., Vidaurre, C., Fazli, S., Sannelli, C., Haufe, S., Maeder, C., Ramsey, L., Sturm, I., Curio, G., et al. (2010) · Frontiers in Neuroscience
EEG and Brain-Computer InterfacesGaze Tracking and Assistive Technology
Cited by 357
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Brain-computer interface controlled gaming: Evaluation of usability by severely motor restricted end-users
Holz, E. M., Höhne, J., Staiger-Sälzer, P., Tangermann, M., & Kübler, A. (2013) · Artificial Intelligence in Medicine
EEG and Brain-Computer InterfacesGaze Tracking and Assistive Technology
Cited by 111
- Verified
Motor imagery for severely motor-impaired patients: evidence for brain-computer interfacing as superior control solution
Höhne, J., Holz, E., Staiger-Sälzer, P., Müller, K.-R., Kübler, A., & Tangermann, M. (2014) · PLoS ONE
EEG and Brain-Computer InterfacesGaze Tracking and Assistive Technology
Cited by 85
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