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Overlap and refractory effects in a Brain-Computer Interface speller based on the visual P300 Event-Related Potential

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http://pubman.mpdl.mpg.de/cone/persons/resource/persons84076

Martens,  SMM
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons83968

Hill,  NJ
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons83909

Farquhar,  J
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;

http://pubman.mpdl.mpg.de/cone/persons/resource/persons84193

Schölkopf,  B
Department Empirical Inference, Max Planck Institute for Biological Cybernetics, Max Planck Society;

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Citation

Martens, S., Hill, N., Farquhar, J., & Schölkopf, B. (2009). Overlap and refractory effects in a Brain-Computer Interface speller based on the visual P300 Event-Related Potential. Journal of Neural Engineering, 6(2), 1-9. doi:10.1088/1741-2560/6/2/026003.


Cite as: http://hdl.handle.net/11858/00-001M-0000-0013-C52B-1
Abstract
We reveal the presence of refractory and overlap effects in the event-related potentials in visual P300 speller datasets, and we show their negative impact on the performance of the system. This finding has important implications for how to encode the letters that can be selected for communication. However, we show that such effects are dependent on stimulus parameters: an alternative stimulus type based on apparent motion suffers less from the refractory effects and leads to an improved letter prediction performance.