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New Methods and Application Domains for Stimulus Driven BCI's
This video was recorded at BBCI Workshop: Advances in Neurotechnologies, Berlin 2012. EEG based Brain Computer Interfaces have matured considerably since their first appearance. However, one central aspect, their online character, still seems underexploited. This aspect allows for a more optimal stimulus selection and we will explain how this can be used for well-known (speller) BCI's and can increase their performance. When the stimulus and response space is very large, as it is in less common (word-probing) BCI's this approach becomes essential. Another domain in which our knowledge on reliable detection of EEG markers still needs be applied more thorough is plasticity and training. While general neuro-feedback on features of the mental state still seems unable to demonstrate lasting cognitive or behavioral changes, feedback on the processing of stimuli may allow for more efficient training of a whole range of perceptual skills. We will explain how we are investigating this approach for second language learning.
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This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States
