ZUNA 1.1 is a channel-wise EEG encoder from Zyphra. Its authors describe the pretraining data only at repository level — the TUH EEG corpus and OpenNeuro collections — and publish no list of datasets, so whether each core dataset was in it is unknown. BCI Report ran the encoder alone, frozen, with no channel upsampling or reconstruction, and adapted it on EEGMAT. Its model card says research use only, not for diagnosis or clinical use.
50.7%49.2%–52.1%Pretraining exposure: unknown: the authors do not list their pretraining data closely enough to decide. Model card: research use only, not for diagnosis or clinical use.
53.3%49.5%–57.1%Pretraining exposure: unknown: the authors do not list their pretraining data closely enough to decide. Model card: research use only, not for diagnosis or clinical use.
51.2%49.8%–52.7%1,218 trainable parameters. Pretraining exposure: unknown: the authors do not list their pretraining data closely enough to decide. Model card: research use only, not for diagnosis or clinical use.
56.9%53.7%–60.1%296,130 trainable parameters. Pretraining exposure: unknown: the authors do not list their pretraining data closely enough to decide. Model card: research use only, not for diagnosis or clinical use.
+5.7 pp+2.5 pp–+8.7 pp28 people improved, 7 got worse, 1 unchanged. The interval excludes zero. Pretraining exposure: unknown: the authors do not list their pretraining data closely enough to decide. Model card: research use only, not for diagnosis or clinical use.
11.9%10.8%–13.0%Pretraining exposure: unknown: the authors do not list their pretraining data closely enough to decide. Model card: research use only, not for diagnosis or clinical use.
8.4%7.5%–9.4%Pretraining exposure: unknown: the authors do not list their pretraining data closely enough to decide. Model card: research use only, not for diagnosis or clinical use.
51.6%50.3%–53.0%Pretraining exposure: unknown: the authors do not list their pretraining data closely enough to decide. Model card: research use only, not for diagnosis or clinical use.
53.9%52.2%–55.6%Pretraining exposure: unknown: the authors do not list their pretraining data closely enough to decide. Model card: research use only, not for diagnosis or clinical use.
60.1%57.8%–62.3%Pretraining exposure: unknown: the authors do not list their pretraining data closely enough to decide. Model card: research use only, not for diagnosis or clinical use.
11 / 600 of 4 people always abstained. Pretraining exposure: unknown: the authors do not list their pretraining data closely enough to decide. Model card: research use only, not for diagnosis or clinical use.
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.
ZUNA 1.1
Model card: research use only, not for diagnosis or clinical use.
Panel
A row beside the core matrix on every protocol page
Apache-2.0; model card: research use only, not for diagnosis or clinical use
Licence note
Apache-2.0 weights; model card states research use only, not for diagnosis or clinical use.
Rights review
Apache-2.0 weights. The model card says research use only, not for diagnosis or clinical use; that sentence travels with its rows.
Row footnote
Pretraining exposure unknown for every core dataset (no published source list). Encoder only; no channel upsampling or reconstruction.
Notes
ZUNA pretraining sources are not published: exposure unknown on every core dataset. 0-4 electrode coordinates per protocol are clamped to the edge of the +-0.12 m position grid as upstream does.
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.