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Brain-computer interfaces based on event-related potentials face a trade-off between the speed and accuracy of the system, as both depend on the number of iterations. Increasing the number of iterations leads to a higher accuracy but reduces the speed of the system. This trade-off is generally dealt with by finding a fixed number of iterations that give a(More)
P300-based Brain Computer Interfaces offer communication pathways which are independent of muscle activity. Mostly visual stimuli, e.g. blinking of different letters are used as a paradigm of interaction. Neural degenerative diseases like amyotrophic lateral sclerosis (ALS) also cause a decrease in sight, but the ability of hearing is usually unaffected.(More)
We are preparing the CRESST (Cryogenic Rare Event Search with Superconducting Thermometers) experiment to search for dark matter WIMPs using cryogenic detectors. Our experiment is complementary to other dark matter searches in that it extends the sensitivity to WIMP masses below 10 GeV, and that diierent target materials could be used within the same setup.(More)
INTRODUCTION In the field of Brain-Computer Interfaces (BCI), the original two-class oddball paradigm has been extended to multiple stimuli with balanced probabilities and random presentation sequences. Exploiting the differences between standard and deviant ERP responses, these multi-class paradigms are suitable for communication and control. METHODS The(More)
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