…design cross-user BCI machine learning algorithms or (4) incorporating users' profile…
…All the conditions were fully counterbalanced to ensure no statistical dependencies within…
…Riemannian geometric and ensemble learning for decoding cross-session motor imagery electroencephalography…
…s disease patients can be statistically mediated by EEG source activity, providing…
This dataset contains EEG recordings collected to study how expectation affects repetition suppression in nociception. It supports investigation of how the brain's responses to repeated painful stimuli are modulated by predictions about those stimuli. The data are organized in BIDS format.
…s disease patients can be statistically mediated by EEG source activity, providing…
…connectivity analyses, and correlation-based statistical modeling), see: [project-zan-neuro](https…
…RMS values normalized to baseline activity for comparative statistical analysis. Outcomes ________ Key…
This dataset supports brain signal-based emotion recognition. It combines magnetoencephalography (MEG) recordings from 23 participants who viewed 40 validated emotional video clips with a large-scale online behavioral survey of 500 respondents rating the same clips. Labels include Self-Assessment Manikin valence and arousal, discrete PrEmo emotion categories, and temporal highlight scene selections. Head digitization files with anatomical landmarks and HPI coil coordinates are provided for co-registration.
…response conflict processing, updating and statistical learning, and speech-in-noise perception…