Applied Projects#

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Self-contained projects using recorded EEG and observed participant metadata. Age, sex and p-factor projects select six ds005505 resting-state participants (approximately 595.8 MB of signal files) and evaluate at participant level. The clinical summary uses metadata only. P300 transfer uses recorded oddball events. The eyes-open/closed CNN project trains ShallowFBCSPNet within one ds005514 participant (about 90 MB) using block-wise train/test splits. Set EEGDASH_CACHE_DIR to reuse acquisitions. These small selected cohorts demonstrate analysis workflows, not clinical or population claims.

Predict observed age (years) from real EEG features

Predict observed age (years) from real EEG features

Summarize a real clinical EEG catalogue

Summarize a real clinical EEG catalogue

Eyes open vs. closed from one participant with ShallowFBCSPNet

Eyes open vs. closed from one participant with ShallowFBCSPNet

Familiar vs unfamiliar faces with EEGPrep and ShallowFBCSPNet

Familiar vs unfamiliar faces with EEGPrep and ShallowFBCSPNet

P300 transfer between participants with MMD adaptation

P300 transfer between participants with MMD adaptation

Regress observed p-factor with a neural EEG decoder

Regress observed p-factor with a neural EEG decoder

Predict observed p-factor from real EEG features

Predict observed p-factor from real EEG features

Classify recorded sex metadata from real EEG

Classify recorded sex metadata from real EEG