# BrainOmni: results on public EEG datasets Foundation model BrainOmni is a pretrained foundation model for EEG and MEG, released in tiny and base sizes, with a BrainTokenizer front end; its paper's appendix lists the EEG and MEG recordings it was pretrained on. BCI Report ran Base frozen on six of the eight core protocols: its tokenizer needs two-second windows, so the two one-second ERP protocols were not run rather than padded with invented samples. It keeps its upstream common average reference on the small layouts here. Measured on: [ds003810](https://bci.report/datasets/ds003810/); [EEGMAT](https://bci.report/datasets/eegmat/); [BETA](https://bci.report/datasets/beta/); [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/); [Sleep staging](https://bci.report/protocols/sleep-scalp/); [Idle & command](https://bci.report/protocols/idle/) **Also known as** BrainOmni Base · BrainTokenizer · OpenTSLab/BrainOmni **Reference** [BrainOmni, arXiv:2505.18185 ↗](https://arxiv.org/abs/2505.18185) Directory status: Evaluated (6 of 8 protocols) · Description sources [arxiv.org](https://arxiv.org/abs/2505.18185v3) ## 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 | | --- | --- | --- | --- | --- | | [BrainOmni Base](https://bci.report/methods/brainomni/) | Frozen encoder + ridge head | Balanced accuracy | 58.8% (57.0%–60.8%) | 10 | Weights terms: BrainOmni under MIT. 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 | | --- | --- | --- | --- | --- | | [BrainOmni Base](https://bci.report/methods/brainomni/) | Frozen encoder + ridge head | Balanced accuracy | 61.6% (58.4%–64.9%) | 36 | Weights terms: BrainOmni under MIT. 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. - BrainOmni Base · Frozen encoder + trained head: 64.5% (59.6%–69.2%) - BrainOmni Base · LoRA rank 4 + head: 64.8% (59.6%–69.7%) | Method | Condition | Metric | Value | People | | --- | --- | --- | --- | --- | | [BrainOmni Base](https://bci.report/methods/brainomni/) | Frozen encoder + trained head | Balanced accuracy | 64.5% (59.6%–69.2%) — 16,386 trainable parameters. | 36 | | [BrainOmni Base](https://bci.report/methods/brainomni/) | LoRA rank 4 + head | Balanced accuracy | 64.8% (59.6%–69.7%) — 106,498 trainable parameters. | 36 | | [BrainOmni Base](https://bci.report/methods/brainomni/) | LoRA minus frozen + head, same people and folds | Paired difference | +0.3 pp (−1.4 pp–+1.8 pp) — 18 people improved, 14 got worse, 4 unchanged. The interval includes zero: no change is established. | 36 | Weights terms: BrainOmni under MIT. 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 | | --- | --- | --- | --- | --- | | [BrainOmni Base](https://bci.report/methods/brainomni/) | Frozen encoder + ridge head | Balanced accuracy | 21.7% (18.6%–25.0%) | 70 | Weights terms: BrainOmni under MIT. 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 | | --- | --- | --- | --- | --- | | [BrainOmni Base](https://bci.report/methods/brainomni/) | Frozen encoder + ridge head | Balanced accuracy | 13.0% (10.6%–15.6%) | 70 | Weights terms: BrainOmni under MIT. 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% · **BrainOmni Base: not run, never a zero.** BrainTokenizer needs a 512-sample window (2.0 s at 256 Hz); the published segment is 1 s = 256 samples, so upstream unfold() would zero-pad 256 of 512 samples of every window (invented samples). All upstream downstream tasks use >= 2 s windows. ### [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% · **BrainOmni Base: not run, never a zero.** BrainTokenizer needs a 512-sample window (2.0 s at 256 Hz); the published segment is 1 s = 256 samples, so upstream unfold() would zero-pad 256 of 512 samples of every window (invented samples). All upstream downstream tasks use >= 2 s windows. ### [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 | | --- | --- | --- | --- | --- | | [BrainOmni Base](https://bci.report/methods/brainomni/) | Frozen encoder + ridge head | Balanced accuracy | 67.7% (65.8%–69.5%) | 20 | Weights terms: BrainOmni under MIT. 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 | | --- | --- | --- | --- | --- | | [BrainOmni Base](https://bci.report/methods/brainomni/) | Frozen encoder + linear head | Commands detected ≤3 s | 13 / 60 — 1 of 4 people always abstained. | 4 | | [BrainOmni Base](https://bci.report/methods/brainomni/) | Frozen encoder + linear head | Idle false activations | 3 / 60 | 4 | Weights terms: BrainOmni under MIT. 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. ### BrainOmni Base - Panel: A row beside the core matrix on every protocol page - Encoder parameters: 31.84M - Revision: `OpenTSLab/BrainOmni @ 9a4d3c70` - Checkpoint SHA-256: `435db24e57a55df05aa7e16355def7b7ecbedb22aa1ec16063e7d14efd2386d0` - Paper: [paper ↗](https://arxiv.org/abs/2505.18185) - Weights licence: MIT - Rights review: Permissive weights licence; aggregate scores only, no weights redistributed. - Row footnote: p300-target and semantic-target not run: the 2 s tokenizer window cannot be met by 1 s segments without zero padding. Upstream common average reference kept on 4-8 channel montages. - 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/) | not in the authors' published pretraining list (checked 2026-10-04) | [source ↗](https://arxiv.org/abs/2505.18185v3) | | [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/) | not in the authors' published pretraining list (checked 2026-10-04) | [source ↗](https://arxiv.org/abs/2505.18185v3) | | [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/) | not in the authors' published pretraining list (checked 2026-10-04) | [source ↗](https://arxiv.org/abs/2505.18185v3) | | [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/) | not in the authors' published pretraining list (checked 2026-10-04) | [source ↗](https://arxiv.org/abs/2505.18185v3) | | [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/) | not in the authors' published pretraining list (checked 2026-10-04) | [source ↗](https://arxiv.org/abs/2505.18185v3) | | [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/) | not in the authors' published pretraining list (checked 2026-10-04) | [source ↗](https://arxiv.org/abs/2505.18185v3) | | [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/) | not in the authors' published pretraining list (checked 2026-10-04) | [source ↗](https://arxiv.org/abs/2505.18185v3) | ## Cite this page BCI Report (2026). *BrainOmni: results on public EEG datasets*. https://bci.report/methods/brainomni/ 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/brainomni/, generated from the published page. Figures are aggregate results; terms of use: https://bci.report/data-use/