Scherer, Reinhold
Graz University of Technology
7 papers on CoChatORCID 0000-0003-3407-9709
Most cited papers
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EEG-based neuroprosthesis control: A step towards clinical practice
Müller-Putz, G. R., Scherer, R., Pfurtscheller, G., & Rupp, R. (2005) · Neuroscience Letters
EEG and Brain-Computer InterfacesStroke Rehabilitation and Recovery
Cited by 477
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A fully on-line adaptive BCI
Vidaurre, C., Schloogl, A., Cabeza, R., Scherer, R., & Pfurtscheller, G. (2006) · IEEE Transactions on Biomedical Engineering
EEG and Brain-Computer InterfacesGaze Tracking and Assistive Technology
Cited by 195
- Verified
Autocalibration and recurrent adaptation: Towards a plug and play online ERD-BCI
Faller, J., Vidaurre, C., Solis-Escalante, T., Neuper, C., & Scherer, R. (2012) · IEEE Transactions on Neural Systems and Rehabilitation Engineering
EEG and Brain-Computer InterfacesGaze Tracking and Assistive Technology
Cited by 180
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FORCe: Fully online and automated artifact removal for brain-computer interfacing
Daly, I., Scherer, R., Billinger, M., & Muller-Putz, G. (2015) · IEEE Transactions on Neural Systems and Rehabilitation Engineering
EEG and Brain-Computer InterfacesGaze Tracking and Assistive Technology
Cited by 174
- Verified
Heading for new shores! Overcoming pitfalls in BCI design
Chavarriaga, R., Fried-Oken, M., Kleih, S., Lotte, F., & Scherer, R. (2017) · Brain-Computer Interfaces
EEG and Brain-Computer InterfacesGaze Tracking and Assistive Technology
Cited by 97
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A co-adaptive brain-computer interface for end users with severe motor impairment
Faller, J., Scherer, R., Costa, U., Opisso, E., Medina, J., & Müller-Putz, G. R. (2014) · PLoS ONE
EEG and Brain-Computer InterfacesGaze Tracking and Assistive Technology
Cited by 55
- Verified
Restricted Boltzmann Machines in Sensory Motor Rhythm Brain-Computer Interfacing: A study on inter-subject transfer and co-adaptation
Kobler, R. J., & Scherer, R. (2016) · 2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
EEG and Brain-Computer InterfacesMuscle activation and electromyography studies
Cited by 20
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