# ZUNA: results on public EEG datasets Foundation model 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. Measured on: [ds003810](https://bci.report/datasets/ds003810/); [EEGMAT](https://bci.report/datasets/eegmat/); [BETA](https://bci.report/datasets/beta/); [ds006593](https://bci.report/datasets/ds006593/); [TMNRED / ds005383](https://bci.report/datasets/tmnred/); [EESM19 scalp subset](https://bci.report/datasets/eesm19/); [ds005342](https://bci.report/datasets/ds005342/) · Protocols: [Motor imagery & rest](https://bci.report/protocols/mi-rest/); [Arithmetic & rest](https://bci.report/protocols/arithmetic-rest/); [SSVEP · 8 channels](https://bci.report/protocols/beta-8ch/); [SSVEP · 4 channels](https://bci.report/protocols/beta-4ch/); [P300 target ERP](https://bci.report/protocols/p300-target/); [Semantic target ERP](https://bci.report/protocols/semantic-target/); [Sleep staging](https://bci.report/protocols/sleep-scalp/); [Idle & command](https://bci.report/protocols/idle/) **Also known as** ZUNA 1.1 · ZUNA1.1 · Zyphra/ZUNA1.1 **Reference** [ZUNA 1.1, arXiv:2607.27308 ↗](https://arxiv.org/abs/2607.27308) Directory status: Evaluated · [Official code ↗](https://huggingface.co/Zyphra/ZUNA1.1) · Description sources [arxiv.org](https://arxiv.org/abs/2607.27308) · [huggingface.co](https://huggingface.co/Zyphra/ZUNA1.1) ## Published results Grouped by dataset. Compare figures within a group only: across groups the task, cohort, chance level and electrode layout all change. ### [ds003810](https://bci.report/datasets/ds003810/) · v9 foundation encoders, frozen · motor imagery & rest Read with its protocol: [Core-matrix protocol: Motor imagery & rest](https://bci.report/protocols/mi-rest/#foundation-v9) · Chance level 50.0% · [foundation-models-mi-rest.csv](https://bci.report/data/foundation-models-mi-rest.csv) | Method | Condition | Metric | Value | People | | --- | --- | --- | --- | --- | | [ZUNA 1.1](https://bci.report/methods/zuna/) | Frozen encoder + ridge head | Balanced accuracy | 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. | 10 | Weights terms: ZUNA under Apache-2.0. No model’s authors endorse these results. [Every weights licence and its terms →](https://bci.report/protocols/mi-rest/#v9-licences) ### [EEGMAT](https://bci.report/datasets/eegmat/) · v9 foundation encoders, frozen · arithmetic & rest Read with its protocol: [Core-matrix protocol: Arithmetic & rest](https://bci.report/protocols/arithmetic-rest/#foundation-v9) · Chance level 50.0% · [foundation-models-arithmetic-rest.csv](https://bci.report/data/foundation-models-arithmetic-rest.csv) | Method | Condition | Metric | Value | People | | --- | --- | --- | --- | --- | | [ZUNA 1.1](https://bci.report/methods/zuna/) | Frozen encoder + ridge head | Balanced accuracy | 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. | 36 | Weights terms: ZUNA under Apache-2.0. No model’s authors endorse these results. [Every weights licence and its terms →](https://bci.report/protocols/arithmetic-rest/#v9-licences) ### [EEGMAT](https://bci.report/datasets/eegmat/) · Model adaptation, v9 · new people, same task, one fixed recipe (not a ranking) Read with its protocol: [Core-matrix protocol: Arithmetic & rest](https://bci.report/protocols/arithmetic-rest/#v9-adaptation) · Chance level 50.0% · [foundation-models-update.json](https://bci.report/data/foundation-models-update.json) **Balanced accuracy, 2 configurations.** Dot: the estimate; line: 95% interval; dashed line: chance level where the payload records one. - ZUNA 1.1 · Frozen encoder + trained head: 51.2% (49.8%–52.7%) - ZUNA 1.1 · LoRA rank 4 + head: 56.9% (53.7%–60.1%) | Method | Condition | Metric | Value | People | | --- | --- | --- | --- | --- | | [ZUNA 1.1](https://bci.report/methods/zuna/) | Frozen encoder + trained head | Balanced accuracy | 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. | 36 | | [ZUNA 1.1](https://bci.report/methods/zuna/) | LoRA rank 4 + head | Balanced accuracy | 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. | 36 | | [ZUNA 1.1](https://bci.report/methods/zuna/) | LoRA minus frozen + head, same people and folds | Paired difference | +5.7 pp (+2.5 pp–+8.7 pp) — 28 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. | 36 | Weights terms: ZUNA under Apache-2.0. No model’s authors endorse these results. [Every weights licence and its terms →](https://bci.report/protocols/arithmetic-rest/#v9-licences) ### [BETA](https://bci.report/datasets/beta/) · v9 foundation encoders, frozen · SSVEP, 8 channels Read with its protocol: [Core-matrix protocol: SSVEP · 8 channels](https://bci.report/protocols/beta-8ch/#foundation-v9) · Chance level 2.5% · [foundation-models-beta-8ch.csv](https://bci.report/data/foundation-models-beta-8ch.csv) | Method | Condition | Metric | Value | People | | --- | --- | --- | --- | --- | | [ZUNA 1.1](https://bci.report/methods/zuna/) | Frozen encoder + ridge head | Balanced accuracy | 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. | 70 | Weights terms: ZUNA under Apache-2.0. No model’s authors endorse these results. [Every weights licence and its terms →](https://bci.report/protocols/beta-8ch/#v9-licences) ### [BETA](https://bci.report/datasets/beta/) · v9 foundation encoders, frozen · SSVEP, 4 channels Read with its protocol: [Core-matrix protocol: SSVEP · 4 channels](https://bci.report/protocols/beta-4ch/#foundation-v9) · Chance level 2.5% · [foundation-models-beta-4ch.csv](https://bci.report/data/foundation-models-beta-4ch.csv) | Method | Condition | Metric | Value | People | | --- | --- | --- | --- | --- | | [ZUNA 1.1](https://bci.report/methods/zuna/) | Frozen encoder + ridge head | Balanced accuracy | 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. | 70 | Weights terms: ZUNA under Apache-2.0. No model’s authors endorse these results. [Every weights licence and its terms →](https://bci.report/protocols/beta-4ch/#v9-licences) ### [ds006593](https://bci.report/datasets/ds006593/) · v9 foundation encoders, frozen · P300 target ERP Read with its protocol: [Core-matrix protocol: P300 target ERP](https://bci.report/protocols/p300-target/#foundation-v9) · Chance level 50.0% · [foundation-models-p300-target.csv](https://bci.report/data/foundation-models-p300-target.csv) | Method | Condition | Metric | Value | People | | --- | --- | --- | --- | --- | | [ZUNA 1.1](https://bci.report/methods/zuna/) | Frozen encoder + ridge head | Balanced accuracy | 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. | 21 | Weights terms: ZUNA under Apache-2.0. No model’s authors endorse these results. [Every weights licence and its terms →](https://bci.report/protocols/p300-target/#v9-licences) ### [TMNRED / ds005383](https://bci.report/datasets/tmnred/) · v9 foundation encoders, frozen · semantic target ERP Read with its protocol: [Core-matrix protocol: Semantic target ERP](https://bci.report/protocols/semantic-target/#foundation-v9) · Chance level 50.0% · [foundation-models-semantic-target.csv](https://bci.report/data/foundation-models-semantic-target.csv) | Method | Condition | Metric | Value | People | | --- | --- | --- | --- | --- | | [ZUNA 1.1](https://bci.report/methods/zuna/) | Frozen encoder + ridge head | Balanced accuracy | 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. | 30 | Weights terms: ZUNA under Apache-2.0. No model’s authors endorse these results. [Every weights licence and its terms →](https://bci.report/protocols/semantic-target/#v9-licences) ### [EESM19 scalp subset](https://bci.report/datasets/eesm19/) · v9 foundation encoders, frozen · sleep staging Read with its protocol: [Core-matrix protocol: Sleep staging](https://bci.report/protocols/sleep-scalp/#foundation-v9) · Chance level 20.0% · [foundation-models-sleep-scalp.csv](https://bci.report/data/foundation-models-sleep-scalp.csv) | Method | Condition | Metric | Value | People | | --- | --- | --- | --- | --- | | [ZUNA 1.1](https://bci.report/methods/zuna/) | Frozen encoder + ridge head | Balanced accuracy | 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. | 20 | Weights terms: ZUNA under Apache-2.0. No model’s authors endorse these results. [Every weights licence and its terms →](https://bci.report/protocols/sleep-scalp/#v9-licences) ### [ds005342](https://bci.report/datasets/ds005342/) · v9 foundation encoders, frozen · idle & command Read with its protocol: [Core-matrix protocol: Idle & command](https://bci.report/protocols/idle/#foundation-v9) · [foundation-models-idle.csv](https://bci.report/data/foundation-models-idle.csv) | Method | Condition | Metric | Value | People | | --- | --- | --- | --- | --- | | [ZUNA 1.1](https://bci.report/methods/zuna/) | Frozen encoder + linear head | Commands detected ≤3 s | 11 / 60 — 0 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. | 4 | | [ZUNA 1.1](https://bci.report/methods/zuna/) | Frozen encoder + linear head | Idle false activations | 1 / 60 — Model card: research use only, not for diagnosis or clinical use. | 4 | Weights terms: ZUNA under Apache-2.0. No model’s authors endorse these results. [Every weights licence and its terms →](https://bci.report/protocols/idle/#v9-licences) [All methods →](https://bci.report/methods/) · [All datasets →](https://bci.report/datasets/) ## Checkpoints, inputs and terms 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 - Encoder parameters: 172.10M - Revision: `Zyphra/ZUNA1.1 @ 10b9d6c8` - Checkpoint SHA-256: `295fcddb42ab4623dc1346fba12176798d97ab95389c666907e32cbce23f7f33` - Paper: [paper ↗](https://arxiv.org/abs/2607.27308) - Weights licence: 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. | Dataset | Protocols | Statement | Source | | --- | --- | --- | --- | | [ds003810 Motor Imagery vs Rest (low-cost EEG; Peterson et al.)](https://doi.org/10.18112/openneuro.ds003810.v2.0.2) | [Motor imagery & rest](https://bci.report/protocols/mi-rest/) | unknown: the authors do not list their pretraining data closely enough to decide | [source ↗](https://arxiv.org/abs/2602.18478) · [source ↗](https://arxiv.org/abs/2607.27308) · [source ↗](https://github.com/Zyphra/zuna/blob/main/src/zuna/inference/AY2l/lingua/apps/AY2latent_bci/configs/config_bci_eval.yaml) · [source ↗](https://doi.org/10.18112/openneuro.ds003810.v2.0.2) | | [EEGMAT (PhysioNet EEG During Mental Arithmetic Tasks; Zyma et al. 2019)](https://physionet.org/content/eegmat/1.0.0/) | [Arithmetic & rest](https://bci.report/protocols/arithmetic-rest/) | unknown: the authors do not list their pretraining data closely enough to decide | [source ↗](https://arxiv.org/abs/2607.27308) · [source ↗](https://arxiv.org/abs/2602.18478) · [source ↗](https://openneuro.org/crn/graphql) · [source ↗](https://physionet.org/content/eegmat/1.0.0/) | | [ds006593 cBCI Matrix Multimodal Dataset (Celik et al.)](https://doi.org/10.18112/openneuro.ds006593.v1.0.0) | [P300 target ERP](https://bci.report/protocols/p300-target/) | unknown: the authors do not list their pretraining data closely enough to decide | [source ↗](https://arxiv.org/abs/2602.18478) · [source ↗](https://arxiv.org/abs/2607.27308) · [source ↗](https://github.com/Zyphra/zuna/blob/main/src/zuna/inference/AY2l/lingua/apps/AY2latent_bci/configs/config_bci_eval.yaml) · [source ↗](https://doi.org/10.18112/openneuro.ds006593.v1.0.0) | | [ds005383 TMNRED (Bai et al. 2025, Sci. Data 12:701)](https://doi.org/10.18112/openneuro.ds005383.v1.0.0) | [Semantic target ERP](https://bci.report/protocols/semantic-target/) | unknown: the authors do not list their pretraining data closely enough to decide | [source ↗](https://arxiv.org/abs/2602.18478) · [source ↗](https://arxiv.org/abs/2607.27308) · [source ↗](https://github.com/Zyphra/zuna/blob/main/src/zuna/inference/AY2l/lingua/apps/AY2latent_bci/configs/config_bci_eval.yaml) · [source ↗](https://doi.org/10.18112/openneuro.ds005383.v1.0.0) | | [EESM19 Ear-EEG Sleep Monitoring 2019 (OpenNeuro ds005185; Mikkelsen et al.)](https://doi.org/10.18112/openneuro.ds005185.v1.0.2) | [Sleep staging](https://bci.report/protocols/sleep-scalp/) | unknown: the authors do not list their pretraining data closely enough to decide | [source ↗](https://arxiv.org/abs/2602.18478) · [source ↗](https://arxiv.org/abs/2607.27308) · [source ↗](https://github.com/Zyphra/zuna/blob/main/src/zuna/inference/AY2l/lingua/apps/AY2latent_bci/configs/config_bci_eval.yaml) · [source ↗](https://doi.org/10.18112/openneuro.ds005185.v1.0.2) | | [BETA 40-target SSVEP (Liu et al. 2020, Front. Neurosci. 14:627)](https://figshare.com/articles/dataset/The_BETA_database/12264401) | [SSVEP · 8 channels](https://bci.report/protocols/beta-8ch/) · [SSVEP · 4 channels](https://bci.report/protocols/beta-4ch/) | unknown: the authors do not list their pretraining data closely enough to decide | [source ↗](https://arxiv.org/abs/2607.27308) · [source ↗](https://arxiv.org/abs/2602.18478) · [source ↗](https://openneuro.org/crn/graphql) · [source ↗](https://figshare.com/articles/dataset/The_BETA_database/12264401) | | [ds005342 EEG offline/online MI for standing and sitting (Triana-Guzman et al.)](https://doi.org/10.18112/openneuro.ds005342.v1.0.3) | [Idle & command](https://bci.report/protocols/idle/) | unknown: the authors do not list their pretraining data closely enough to decide | [source ↗](https://arxiv.org/abs/2602.18478) · [source ↗](https://arxiv.org/abs/2607.27308) · [source ↗](https://github.com/Zyphra/zuna/blob/main/src/zuna/inference/AY2l/lingua/apps/AY2latent_bci/configs/config_bci_eval.yaml) · [source ↗](https://doi.org/10.18112/openneuro.ds005342.v1.0.3) | ## Cite this page BCI Report (2026). *ZUNA: results on public EEG datasets*. https://bci.report/methods/zuna/ Figures from release [`foundation-models-update-20261004`](https://bci.report/releases/#foundation-models-update-20261004) (2026-10-04). Cite the upstream datasets as well: each dataset’s page gives its credit. Every release is archived on Zenodo: [doi:10.5281/zenodo.23123296](https://doi.org/10.5281/zenodo.23123296). [BibTeX for the site and its releases →](https://bci.report/api/#cite-heading) · [CITATION.cff ↗](https://raw.githubusercontent.com/twu3202/bci-report/main/CITATION.cff) --- Markdown copy of https://bci.report/methods/zuna/, generated from the published page. Figures are aggregate results; terms of use: https://bci.report/data-use/