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  1. 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...

    Laura Naumann, Matthias Schultze-Kraft, Sven Dähne in Symbiotic Interaction (2017)

  2. No Access

    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...

    Matthias Schultze-Kraft, Mario Neumann in Brain-Computer Interface Research (2017)

  3. Article

    Open Access

    Correlation transmission of spiking neurons is boosted by synchronous input

    Matthias Schultze-Kraft, Markus Diesmann, Sonja Grün, Moritz Helias in BMC Neuroscience (2011)