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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|November 25, 2010
Toward BCI Wizard - best BCI approach for each userIvan Volosyak, Christoph Guger, Axel Graser
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|November 25, 2010
sBCI: fast detection of steady-state visual evoked potentialsDiana Valbuena, Ivan Volosyak, Axel Graser
IEEE Transactions on Neural Systems and Rehabilitation Engineering : a Publication of the IEEE Engineering in Medicine and Biology Society|January 20, 2010
BCI demographics: how many (and what kinds of) people can use an SSVEP BCI?Brendan Allison, Thorsten Luth, Diana Valbuena, et al.
Journal of Neural Engineering|May 11, 2011
SSVEP-based Bremen-BCI interface--boosting information transfer ratesIvan Volosyak
Brain Sciences|April 25, 2020
Comparison of Different Visual Feedback Methods for SSVEP-Based BCIsMihaly Benda, Ivan Volosyak
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference|January 9, 2015
Evaluation of different spelling layouts for SSVEP based BCIsChristopher Kick, Ivan Volosyak
Brain Sciences|February 25, 2022
cVEP Training Data Validation-Towards Optimal Training Set Composition from Multi-Day DataPiotr Stawicki, Ivan Volosyak
IEEE Transactions on Bio-Medical Engineering|April 5, 2007
Multiple channel detection of steady-state visual evoked potentials for brain-computer interfacesOla Friman, Ivan Volosyak, Axel Gräser
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