Andreas Meinel

Latest

• Manipulating single-trial motor performance in chronic stroke patients by closed-loop brain state interaction
• Mining within-trial oscillatory brain dynamics to address the variability of optimized spatial filters
• Post-hoc Labeling of Arbitrary M/EEG Recordings for Data-Efficient Evaluation of Neural Decoding Methods
• Characterizing Regularization Techniques for Spatial Filter Optimization in Oscillatory EEG Regression Problems
• 1-F-54 Post-hoc labeling of arbitrary EEG recordings for data-efficient evaluation of neural decoding methods
• Post-hoc labeling of arbitrary EEG recordings for data-efficient evaluation of neural decoding methods
• Tikhonov Regularization Enhances EEG-Based Spatial Filtering For Single-Trial Regression
• Informative Oscillatory EEG Components and their Persistence in Time and Frequency
• Time-Frequency Sensitivity Characterization of Single-Trial Oscillatory EEG Components
• Abstracts der 24. Jahrestagung der DGSM -- P26 Versuchspersonenunabhängige Single-Trial-Erkennung von langsamen Wellen im Schlaf-EEG
• Hyperparameter Optimization for Machine Learning Problems in BCI
• Pre-Trial EEG-based Single-Trial Motor Performance Prediction to Enhance Neuroergonomics for a Hand Force Task
• Predicting Single-Trial Motor Performance from Oscillatory EEG in Chronic Stroke Patients
• EEG Band Power Predicts Single-Trial Reaction Time in a Hand Motor Task
• Commonalities of Motor Performance Metrics are Revealed by Predictive Oscillatory EEG Components
• P186. Correlates to influence user performance in a hand motor rehabilitation task
• Probing Meaningfulness of Oscillatory EEG Components with Bootstrapping, Label Noise and Reduced Training Sets