Data-Driven NeuroTechnology lab
Data-Driven NeuroTechnology lab
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Johannes Höhne
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Towards Non-Invasive Hybrid Brain-Computer Interfaces: Framework, Practice, Clinical Application and Beyond
Solving the EEG inverse problem based on space-time-frequency structured sparsity constraints
Motor Imagery for Severely Motor-Impaired Patients: Evidence for Brain-Computer Interfacing as Superior Control Solution
P827: Beyond P300: an auditory ERP paradigm with sequential stimulation
Towards User-friendly Spelling with an Auditory Brain-Computer Interface: The CharStreamer Paradigm
Brain-computer interface controlled gaming: Evaluation of usability by severely motor restricted end-users
Optimizing ERP Based BCI - a Systematic Evaluation of Dynamic Stopping Methods
No surprise-fixed sequence event-related potentials for brain-computer interfaces
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