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Found 2 papers, 2 papers with code
Evaluating Fast Adaptability of Neural Networks for Brain-Computer Interface
Nevertheless, there is a need for an evaluation strategy to evaluate the fast adaptability of the models, as this characteristic is essential for real-life BCI applications for quick calibration.
Learning Robust Deep Visual Representations from EEG Brain Recordings
Reconstruction of visual images from brain Electroencephalography (EEG) signals has garnered a lot of interest due to its applications in brain-computer interfacing.
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