Layer-wise linear probes on six EEG foundation models across the
nine tasks with public-data YAMLs in
facebookresearch/neuroai. The Core spec lists 36 EEG tasks,
but only 9 ship dataset configs in the public release — the other
27 require manual access to gated corpora (TUH EEG, THINGS-images, etc.).
So “NeuralBench-EEG-Core v1.0” here is the full public-data
sweep: 6 FMs × 9 tasks × 10–11 probe layers × 3 seeds.
Three (FM×task) cells are structurally impossible: LaBraM ×
{mental_arithmetic, mental_workload, motor_execution}, where the
dataset has channels not in LABRAM_CHANNEL_ORDER (only
fixable with InterpolatedLaBraM).