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EEG and Eye Tracking Signatures of Target Encoding during Structured Visual Search
EEG and eye tracking variables are potential sources of information about the underlying processes of target detection and storage …
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Learning from label proportions in brain-computer interfaces: online unsupervised learning with guarantees
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Learning from Label Proportions in Brain-Computer Interfaces: Online Unsupervised Learning with Guarantees
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Workshops of the Sixth International Brain--Computer Interface Meeting: brain--computer interfaces past, present, and future
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Pre-Trial EEG-based Single-Trial Motor Performance Prediction to Enhance Neuroergonomics for a Hand Force Task
We propose a framework for building electrophysiological predictors of single-trial motor performance variations, exemplified for …
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Towards Non-Invasive Hybrid Brain-Computer Interfaces: Framework, Practice, Clinical Application and Beyond
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Broad-band visually evoked potentials: re(con)volution in brain-computer interfacing
Brain-computer interfaces (BCIs) allow users to control devices and communicate by using brain activity only. BCIs based on broad-band …
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Solving the EEG inverse problem based on space-time-frequency structured sparsity constraints
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Motor Imagery for Severely Motor-Impaired Patients: Evidence for Brain-Computer Interfacing as Superior Control Solution
Brain-Computer Interfaces (BCIs) strive to decode brain signals into control commands for severely handicapped people with no means of …
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True Zero-Training Brain-Computer Interfacing -- An Online Study
Despite several approaches to realize subject-to-subject transfer of pre-trained classifiers, the full performance of a Brain-Computer …
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