Resting-state condition decoding#

Estimated reading time:2 minutes

Use actual HBN instruction markers to label eyes-open and eyes-closed intervals. Compute alpha-band power, fit scaling on training subjects only, and evaluate each held-out participant once. Plots show the measured spectra and scores without asserting a textbook effect or a minimum accuracy.

plot_30_eyes_open_closed.py uses three explicit HBN recordings, about 281 MB total. Retain EEGDASH_CACHE_DIR across runs. This task-specific example is larger than the small SSVEP examples in the introductory track.

Decode eyes open and eyes closed from recorded resting EEG