CodeBrain is a pretrained EEG encoder whose paper lists the Temple University EEG corpus (TUEG) as its only pretraining source. BCI Report ran the released checkpoint frozen, pooled as the published CBraMod rows are, and adapted it on EEGMAT, where its LoRA in effect adapts only the attention value projection.
What was run, as the v9 release records it: each checkpoint’s revision and SHA-256, its encoder parameters, the footnote its rows carry and its weights licence. No weights, adapted weights or LoRA deltas were kept or shared, and no endorsement by the model’s authors is implied.
CodeBrain
Panel
A row beside the core matrix on every protocol page
Permissive weights licence; aggregate scores only, no weights redistributed.
Row footnote
Published CBraMod pooling (patch mean, channels kept); LoRA effectively adapts only the V projection (1-token attention window upstream).
EEGMAT adaptation
Run: a head trained on the frozen encoder against LoRA rank 4, three seeds.
Pretraining exposure, by dataset
Whether each core dataset is in the model authors’ published pretraining list, checked on 2026-10-04 and linked to the source. A dataset absent from the list is not proof that its recordings were never seen; recording-level audits were not done.
BCI Report