David Hübner, Pieter-Jan Kindermans, Thibault Verhoeven, Klaus-Robert Müller, Michael Tangermann. Rethinking BCI Paradigm and Machine Learning Algorithm as a Symbiosis: Zero Calibration, Guaranteed Convergence and High Decoding Performance. In Christoph Guger, Natalie Mrachacz-Kersting, Brendan Z. Allison, editors, Brain-Computer Interface Research - A State-of-the-Art Summary 7. Springer Briefs in Electrical and Computer Engineering, pages 63-73, Springer, 2019. [doi]
@incollection{HubnerKVMT19,
title = {Rethinking BCI Paradigm and Machine Learning Algorithm as a Symbiosis: Zero Calibration, Guaranteed Convergence and High Decoding Performance},
author = {David Hübner and Pieter-Jan Kindermans and Thibault Verhoeven and Klaus-Robert Müller and Michael Tangermann},
year = {2019},
doi = {10.1007/978-3-030-05668-1_6},
url = {https://doi.org/10.1007/978-3-030-05668-1_6},
researchr = {https://researchr.org/publication/HubnerKVMT19},
cites = {0},
citedby = {0},
pages = {63-73},
booktitle = {Brain-Computer Interface Research - A State-of-the-Art Summary 7},
editor = {Christoph Guger and Natalie Mrachacz-Kersting and Brendan Z. Allison},
series = {Springer Briefs in Electrical and Computer Engineering},
publisher = {Springer},
isbn = {978-3-030-05668-1},
}