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Chapter and Conference Paper
Prediction of Difficulty Levels in Video Games from Ongoing EEG
Real-time assessment of mental workload from EEG plays an important role in enhancing symbiotic interaction of human operators in immersive environments. In this study we thus aimed at predicting the difficult...
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Chapter
Predicting Motor Intentions with Closed-Loop Brain-Computer Interfaces
We present two studies in which brain-computer interfaces (BCIs) used two related EEG signals, the readiness potential (RP) and the lateralized readiness potential (LRP), in order to predict and feed back moto...
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Article
Open AccessCorrelation transmission of spiking neurons is boosted by synchronous input