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Single trial classification of motor imagination using 6 dry EEG electrodesThe Berlin Brain-Computer Interface: Non-Medical Uses of BCI Technology.Predicting BCI subject performance using probabilistic spatio-temporal filters.An efficient ERP-based brain-computer interface using random set presentation and face familiarity.Assessment and Validation of Machine Learning Methods for Predicting Molecular Atomization Energies.Using NIRS as a predictor for EEG-based BCI performance.Bristle-sensors--low-cost flexible passive dry EEG electrodes for neurofeedback and BCI applications.EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracyA High Performance Spelling System based on EEG-EOG Signals With Visual Feedback
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description
researcher ORCID ID = 0000-0003-3397-0647
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wetenschapper
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Siamac Fazli
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Siamac Fazli
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Siamac Fazli
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Siamac Fazli
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Siamac Fazli
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Siamac Fazli
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Siamac Fazli
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Siamac Fazli
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Siamac Fazli
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Siamac Fazli
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Siamac Fazli
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Siamac Fazli
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0000-0003-3397-0647