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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
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
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
Frontiers in Neuroergonomics|April 13, 2026
SSVEP-driven BCI authentication with reduced number of EEG electrodes across high and low frequency rangesAyas Kiser, Atilla Cantürk, Ivan Volosyak
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
Computational Intelligence and Neuroscience|April 8, 2020
Five Shades of Grey: Exploring Quintary m-Sequences for More User-Friendly c-VEP-Based BCIsFelix W Gembler, Aya Rezeika, Mihaly Benda, et al.
Brain Sciences|June 26, 2025
Streamlining cVEP Paradigms: Effects of a Minimized Electrode Montage on Brain-Computer Interface PerformanceMilán András Fodor, Atilla Cantürk, Gernot Heisenberg, et al.
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