# eeg-fm-masking: results on public EEG datasets

Foundation model

eeg-fm-masking is a set of encoders released with a study of masking in EEG pretraining: one small backbone, one corpus (the open-licence subset of the REVE pretraining corpus) and one recipe, pretrained with a masked-autoencoder (MAE) or a joint-embedding predictive (JEPA) objective under different mask geometries. BCI Report ran four of them frozen: the paper-recommended MAE checkpoint (mask radius 9 cm, L = 2) as a matrix row, and three siblings — JEPA with the same geometry, and MAE and JEPA masking one channel — as a masking ablation.

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** PierreGtch/eeg-fm-masking_mae_r9cm_L2 · eeg-fm-masking MAE · eeg-fm-masking JEPA

**Reference** [eeg-fm-masking, arXiv:2609.33487 ↗](https://arxiv.org/abs/2609.33487)

Directory status: Evaluated (frozen probes, masking ablation) · Description sources [arxiv.org](https://arxiv.org/abs/2609.33487) · [huggingface.co](https://huggingface.co/datasets/brain-bzh/reve-dataset)

## 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)

**Balanced accuracy, 4 configurations.** Dot: the estimate; line: 95% interval; dashed line: chance level where the payload records one.

- eeg-fm-masking MAE (r=9 cm, L=2) · Frozen encoder + ridge head: 68.1% (64.3%–72.3%)
- eeg-fm-masking JEPA (r=9 cm, L=2) · Frozen encoder + ridge head · masking ablation: 63.2% (58.2%–67.9%)
- eeg-fm-masking MAE (r=one channel, L=1) · Frozen encoder + ridge head · masking ablation: 64.9% (60.3%–69.4%)
- eeg-fm-masking JEPA (r=one channel, L=1) · Frozen encoder + ridge head · masking ablation: 63.3% (59.0%–67.4%)

| Method | Condition | Metric | Value | People |
| --- | --- | --- | --- | --- |
| [eeg-fm-masking MAE (r=9 cm, L=2)](https://bci.report/methods/eeg-fm-masking/) | Frozen encoder + ridge head | Balanced accuracy | 68.1% (64.3%–72.3%) | 10 |
| [eeg-fm-masking JEPA (r=9 cm, L=2)](https://bci.report/methods/eeg-fm-masking/) | Frozen encoder + ridge head · masking ablation | Balanced accuracy | 63.2% (58.2%–67.9%) | 10 |
| [eeg-fm-masking MAE (r=one channel, L=1)](https://bci.report/methods/eeg-fm-masking/) | Frozen encoder + ridge head · masking ablation | Balanced accuracy | 64.9% (60.3%–69.4%) | 10 |
| [eeg-fm-masking JEPA (r=one channel, L=1)](https://bci.report/methods/eeg-fm-masking/) | Frozen encoder + ridge head · masking ablation | Balanced accuracy | 63.3% (59.0%–67.4%) | 10 |

Weights terms: eeg-fm-masking under CC-BY-4.0. 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)

**Balanced accuracy, 4 configurations.** Dot: the estimate; line: 95% interval; dashed line: chance level where the payload records one.

- eeg-fm-masking MAE (r=9 cm, L=2) · Frozen encoder + ridge head: 63.6% (59.1%–68.1%)
- eeg-fm-masking JEPA (r=9 cm, L=2) · Frozen encoder + ridge head · masking ablation: 61.6% (56.4%–66.5%)
- eeg-fm-masking MAE (r=one channel, L=1) · Frozen encoder + ridge head · masking ablation: 64.3% (60.2%–68.2%)
- eeg-fm-masking JEPA (r=one channel, L=1) · Frozen encoder + ridge head · masking ablation: 62.5% (58.5%–66.2%)

| Method | Condition | Metric | Value | People |
| --- | --- | --- | --- | --- |
| [eeg-fm-masking MAE (r=9 cm, L=2)](https://bci.report/methods/eeg-fm-masking/) | Frozen encoder + ridge head | Balanced accuracy | 63.6% (59.1%–68.1%) | 36 |
| [eeg-fm-masking JEPA (r=9 cm, L=2)](https://bci.report/methods/eeg-fm-masking/) | Frozen encoder + ridge head · masking ablation | Balanced accuracy | 61.6% (56.4%–66.5%) | 36 |
| [eeg-fm-masking MAE (r=one channel, L=1)](https://bci.report/methods/eeg-fm-masking/) | Frozen encoder + ridge head · masking ablation | Balanced accuracy | 64.3% (60.2%–68.2%) | 36 |
| [eeg-fm-masking JEPA (r=one channel, L=1)](https://bci.report/methods/eeg-fm-masking/) | Frozen encoder + ridge head · masking ablation | Balanced accuracy | 62.5% (58.5%–66.2%) | 36 |

Weights terms: eeg-fm-masking under CC-BY-4.0. 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)

**Balanced accuracy, 4 configurations.** Dot: the estimate; line: 95% interval; dashed line: chance level where the payload records one.

- eeg-fm-masking MAE (r=9 cm, L=2) · Frozen encoder + ridge head: 54.8% (49.4%–60.0%)
- eeg-fm-masking JEPA (r=9 cm, L=2) · Frozen encoder + ridge head · masking ablation: 49.6% (44.5%–54.8%)
- eeg-fm-masking MAE (r=one channel, L=1) · Frozen encoder + ridge head · masking ablation: 53.4% (48.1%–58.6%)
- eeg-fm-masking JEPA (r=one channel, L=1) · Frozen encoder + ridge head · masking ablation: 51.0% (45.8%–56.1%)

| Method | Condition | Metric | Value | People |
| --- | --- | --- | --- | --- |
| [eeg-fm-masking MAE (r=9 cm, L=2)](https://bci.report/methods/eeg-fm-masking/) | Frozen encoder + ridge head | Balanced accuracy | 54.8% (49.4%–60.0%) | 70 |
| [eeg-fm-masking JEPA (r=9 cm, L=2)](https://bci.report/methods/eeg-fm-masking/) | Frozen encoder + ridge head · masking ablation | Balanced accuracy | 49.6% (44.5%–54.8%) | 70 |
| [eeg-fm-masking MAE (r=one channel, L=1)](https://bci.report/methods/eeg-fm-masking/) | Frozen encoder + ridge head · masking ablation | Balanced accuracy | 53.4% (48.1%–58.6%) | 70 |
| [eeg-fm-masking JEPA (r=one channel, L=1)](https://bci.report/methods/eeg-fm-masking/) | Frozen encoder + ridge head · masking ablation | Balanced accuracy | 51.0% (45.8%–56.1%) | 70 |

Weights terms: eeg-fm-masking under CC-BY-4.0. 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)

**Balanced accuracy, 4 configurations.** Dot: the estimate; line: 95% interval; dashed line: chance level where the payload records one.

- eeg-fm-masking MAE (r=9 cm, L=2) · Frozen encoder + ridge head: 47.1% (42.1%–52.1%)
- eeg-fm-masking JEPA (r=9 cm, L=2) · Frozen encoder + ridge head · masking ablation: 43.4% (38.7%–48.3%)
- eeg-fm-masking MAE (r=one channel, L=1) · Frozen encoder + ridge head · masking ablation: 46.7% (41.9%–51.5%)
- eeg-fm-masking JEPA (r=one channel, L=1) · Frozen encoder + ridge head · masking ablation: 45.4% (40.6%–50.2%)

| Method | Condition | Metric | Value | People |
| --- | --- | --- | --- | --- |
| [eeg-fm-masking MAE (r=9 cm, L=2)](https://bci.report/methods/eeg-fm-masking/) | Frozen encoder + ridge head | Balanced accuracy | 47.1% (42.1%–52.1%) | 70 |
| [eeg-fm-masking JEPA (r=9 cm, L=2)](https://bci.report/methods/eeg-fm-masking/) | Frozen encoder + ridge head · masking ablation | Balanced accuracy | 43.4% (38.7%–48.3%) | 70 |
| [eeg-fm-masking MAE (r=one channel, L=1)](https://bci.report/methods/eeg-fm-masking/) | Frozen encoder + ridge head · masking ablation | Balanced accuracy | 46.7% (41.9%–51.5%) | 70 |
| [eeg-fm-masking JEPA (r=one channel, L=1)](https://bci.report/methods/eeg-fm-masking/) | Frozen encoder + ridge head · masking ablation | Balanced accuracy | 45.4% (40.6%–50.2%) | 70 |

Weights terms: eeg-fm-masking under CC-BY-4.0. 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)

**Balanced accuracy, 4 configurations.** Dot: the estimate; line: 95% interval; dashed line: chance level where the payload records one.

- eeg-fm-masking MAE (r=9 cm, L=2) · Frozen encoder + ridge head: 49.5% (48.1%–51.0%)
- eeg-fm-masking JEPA (r=9 cm, L=2) · Frozen encoder + ridge head · masking ablation: 51.6% (50.4%–52.7%)
- eeg-fm-masking MAE (r=one channel, L=1) · Frozen encoder + ridge head · masking ablation: 51.1% (49.2%–53.0%)
- eeg-fm-masking JEPA (r=one channel, L=1) · Frozen encoder + ridge head · masking ablation: 50.0% (48.7%–51.5%)

| Method | Condition | Metric | Value | People |
| --- | --- | --- | --- | --- |
| [eeg-fm-masking MAE (r=9 cm, L=2)](https://bci.report/methods/eeg-fm-masking/) | Frozen encoder + ridge head | Balanced accuracy | 49.5% (48.1%–51.0%) | 21 |
| [eeg-fm-masking JEPA (r=9 cm, L=2)](https://bci.report/methods/eeg-fm-masking/) | Frozen encoder + ridge head · masking ablation | Balanced accuracy | 51.6% (50.4%–52.7%) | 21 |
| [eeg-fm-masking MAE (r=one channel, L=1)](https://bci.report/methods/eeg-fm-masking/) | Frozen encoder + ridge head · masking ablation | Balanced accuracy | 51.1% (49.2%–53.0%) | 21 |
| [eeg-fm-masking JEPA (r=one channel, L=1)](https://bci.report/methods/eeg-fm-masking/) | Frozen encoder + ridge head · masking ablation | Balanced accuracy | 50.0% (48.7%–51.5%) | 21 |

Weights terms: eeg-fm-masking under CC-BY-4.0. 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)

**Balanced accuracy, 4 configurations.** Dot: the estimate; line: 95% interval; dashed line: chance level where the payload records one.

- eeg-fm-masking MAE (r=9 cm, L=2) · Frozen encoder + ridge head: 54.8% (52.7%–56.9%)
- eeg-fm-masking JEPA (r=9 cm, L=2) · Frozen encoder + ridge head · masking ablation: 55.8% (53.9%–57.6%)
- eeg-fm-masking MAE (r=one channel, L=1) · Frozen encoder + ridge head · masking ablation: 54.9% (53.4%–56.4%)
- eeg-fm-masking JEPA (r=one channel, L=1) · Frozen encoder + ridge head · masking ablation: 55.0% (53.4%–56.6%)

| Method | Condition | Metric | Value | People |
| --- | --- | --- | --- | --- |
| [eeg-fm-masking MAE (r=9 cm, L=2)](https://bci.report/methods/eeg-fm-masking/) | Frozen encoder + ridge head | Balanced accuracy | 54.8% (52.7%–56.9%) | 30 |
| [eeg-fm-masking JEPA (r=9 cm, L=2)](https://bci.report/methods/eeg-fm-masking/) | Frozen encoder + ridge head · masking ablation | Balanced accuracy | 55.8% (53.9%–57.6%) | 30 |
| [eeg-fm-masking MAE (r=one channel, L=1)](https://bci.report/methods/eeg-fm-masking/) | Frozen encoder + ridge head · masking ablation | Balanced accuracy | 54.9% (53.4%–56.4%) | 30 |
| [eeg-fm-masking JEPA (r=one channel, L=1)](https://bci.report/methods/eeg-fm-masking/) | Frozen encoder + ridge head · masking ablation | Balanced accuracy | 55.0% (53.4%–56.6%) | 30 |

Weights terms: eeg-fm-masking under CC-BY-4.0. 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)

**Balanced accuracy, 4 configurations.** Dot: the estimate; line: 95% interval; dashed line: chance level where the payload records one.

- eeg-fm-masking MAE (r=9 cm, L=2) · Frozen encoder + ridge head: 67.9% (65.4%–70.4%)
- eeg-fm-masking JEPA (r=9 cm, L=2) · Frozen encoder + ridge head · masking ablation: 70.3% (68.0%–72.7%)
- eeg-fm-masking MAE (r=one channel, L=1) · Frozen encoder + ridge head · masking ablation: 65.2% (63.0%–67.3%)
- eeg-fm-masking JEPA (r=one channel, L=1) · Frozen encoder + ridge head · masking ablation: 68.3% (65.7%–70.8%)

| Method | Condition | Metric | Value | People |
| --- | --- | --- | --- | --- |
| [eeg-fm-masking MAE (r=9 cm, L=2)](https://bci.report/methods/eeg-fm-masking/) | Frozen encoder + ridge head | Balanced accuracy | 67.9% (65.4%–70.4%) | 20 |
| [eeg-fm-masking JEPA (r=9 cm, L=2)](https://bci.report/methods/eeg-fm-masking/) | Frozen encoder + ridge head · masking ablation | Balanced accuracy | 70.3% (68.0%–72.7%) | 20 |
| [eeg-fm-masking MAE (r=one channel, L=1)](https://bci.report/methods/eeg-fm-masking/) | Frozen encoder + ridge head · masking ablation | Balanced accuracy | 65.2% (63.0%–67.3%) | 20 |
| [eeg-fm-masking JEPA (r=one channel, L=1)](https://bci.report/methods/eeg-fm-masking/) | Frozen encoder + ridge head · masking ablation | Balanced accuracy | 68.3% (65.7%–70.8%) | 20 |

Weights terms: eeg-fm-masking under CC-BY-4.0. 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 |
| --- | --- | --- | --- | --- |
| [eeg-fm-masking MAE (r=9 cm, L=2)](https://bci.report/methods/eeg-fm-masking/) | Frozen encoder + linear head | Commands detected ≤3 s | 3 / 60 — 2 of 4 people always abstained. | 4 |
| [eeg-fm-masking MAE (r=9 cm, L=2)](https://bci.report/methods/eeg-fm-masking/) | Frozen encoder + linear head | Idle false activations | 0 / 60 | 4 |
| [eeg-fm-masking JEPA (r=9 cm, L=2)](https://bci.report/methods/eeg-fm-masking/) | Frozen encoder + linear head · masking ablation | Commands detected ≤3 s | 12 / 60 — 2 of 4 people always abstained. | 4 |
| [eeg-fm-masking JEPA (r=9 cm, L=2)](https://bci.report/methods/eeg-fm-masking/) | Frozen encoder + linear head · masking ablation | Idle false activations | 0 / 60 | 4 |
| [eeg-fm-masking MAE (r=one channel, L=1)](https://bci.report/methods/eeg-fm-masking/) | Frozen encoder + linear head · masking ablation | Commands detected ≤3 s | 5 / 60 — 2 of 4 people always abstained. | 4 |
| [eeg-fm-masking MAE (r=one channel, L=1)](https://bci.report/methods/eeg-fm-masking/) | Frozen encoder + linear head · masking ablation | Idle false activations | 0 / 60 | 4 |
| [eeg-fm-masking JEPA (r=one channel, L=1)](https://bci.report/methods/eeg-fm-masking/) | Frozen encoder + linear head · masking ablation | Commands detected ≤3 s | 5 / 60 — 2 of 4 people always abstained. | 4 |
| [eeg-fm-masking JEPA (r=one channel, L=1)](https://bci.report/methods/eeg-fm-masking/) | Frozen encoder + linear head · masking ablation | Idle false activations | 0 / 60 | 4 |

Weights terms: eeg-fm-masking under CC-BY-4.0. 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.

### eeg-fm-masking MAE (r=9 cm, L=2)

- Panel: A row beside the core matrix on every protocol page
- Encoder parameters: 12.69M
- Revision: `PierreGtch/eeg-fm-masking_mae_r9cm_L2 @ c861ade2`
- Checkpoint SHA-256: `d889abd87a245b92f782246f6fd51b23120208f307bc65b4de587a76ea5ed4f2`
- Paper: [paper ↗](https://arxiv.org/abs/2609.33487)
- Weights licence: CC-BY-4.0 (cite arXiv:2609.33487)
- Licence note: CC-BY-4.0 weights: attribution required (cite arXiv:2609.33487).
- Rights review: Attribution licence; the paper is cited beside every row. Aggregate scores only.
- Row footnote: Paper-recommended masking geometry; channel-retained pooling (C x 512). Three sibling checkpoints appear in the masking ablation panel.
- EEGMAT adaptation: not run by design: eeg-fm-masking is a frozen-probe masking ablation

### eeg-fm-masking JEPA (r=9 cm, L=2)

- Panel: Masking ablation: a sibling of the paper-recommended checkpoint, in its own panel
- Encoder parameters: 12.69M
- Revision: Not in the release: it names only the paper-recommended checkpoint’s revision.
- Checkpoint SHA-256: Not in the release: it names only the paper-recommended checkpoint’s revision.
- Paper: [paper ↗](https://arxiv.org/abs/2609.33487)
- Weights licence: CC-BY-4.0 (cite arXiv:2609.33487)
- Licence note: CC-BY-4.0 weights: attribution required (cite arXiv:2609.33487).
- Rights review: Attribution licence; the paper is cited beside every row. Aggregate scores only.
- Row footnote: A sibling of the paper-recommended checkpoint in the masking ablation: the same architecture, corpus and recipe, another masking framework or geometry.
- EEGMAT adaptation: not run by design: eeg-fm-masking is a frozen-probe masking ablation

### eeg-fm-masking MAE (r=one channel, L=1)

- Panel: Masking ablation: a sibling of the paper-recommended checkpoint, in its own panel
- Encoder parameters: 12.69M
- Revision: Not in the release: it names only the paper-recommended checkpoint’s revision.
- Checkpoint SHA-256: Not in the release: it names only the paper-recommended checkpoint’s revision.
- Paper: [paper ↗](https://arxiv.org/abs/2609.33487)
- Weights licence: CC-BY-4.0 (cite arXiv:2609.33487)
- Licence note: CC-BY-4.0 weights: attribution required (cite arXiv:2609.33487).
- Rights review: Attribution licence; the paper is cited beside every row. Aggregate scores only.
- Row footnote: A sibling of the paper-recommended checkpoint in the masking ablation: the same architecture, corpus and recipe, another masking framework or geometry.
- EEGMAT adaptation: not run by design: eeg-fm-masking is a frozen-probe masking ablation

### eeg-fm-masking JEPA (r=one channel, L=1)

- Panel: Masking ablation: a sibling of the paper-recommended checkpoint, in its own panel
- Encoder parameters: 12.69M
- Revision: Not in the release: it names only the paper-recommended checkpoint’s revision.
- Checkpoint SHA-256: Not in the release: it names only the paper-recommended checkpoint’s revision.
- Paper: [paper ↗](https://arxiv.org/abs/2609.33487)
- Weights licence: CC-BY-4.0 (cite arXiv:2609.33487)
- Licence note: CC-BY-4.0 weights: attribution required (cite arXiv:2609.33487).
- Rights review: Attribution licence; the paper is cited beside every row. Aggregate scores only.
- Row footnote: A sibling of the paper-recommended checkpoint in the masking ablation: the same architecture, corpus and recipe, another masking framework or geometry.
- EEGMAT adaptation: not run by design: eeg-fm-masking is a frozen-probe masking ablation

## 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.

### eeg-fm-masking MAE (r=9 cm, L=2) · eeg-fm-masking JEPA (r=9 cm, L=2) · eeg-fm-masking MAE (r=one channel, L=1) · eeg-fm-masking JEPA (r=one channel, L=1)

| 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/2609.33487) · [source ↗](https://huggingface.co/datasets/brain-bzh/reve-dataset) |
| [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/2609.33487) |
| [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/2609.33487) · [source ↗](https://huggingface.co/datasets/brain-bzh/reve-dataset) |
| [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/2609.33487) · [source ↗](https://huggingface.co/datasets/brain-bzh/reve-dataset) |
| [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/2609.33487) · [source ↗](https://huggingface.co/datasets/brain-bzh/reve-dataset) |
| [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/2609.33487) · [source ↗](https://huggingface.co/datasets/brain-bzh/reve-dataset) |
| [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/2609.33487) · [source ↗](https://huggingface.co/datasets/brain-bzh/reve-dataset) |

## Cite this page

BCI Report (2026). *eeg-fm-masking: results on public EEG datasets*. https://bci.report/methods/eeg-fm-masking/

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)

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Markdown copy of https://bci.report/methods/eeg-fm-masking/, generated from the published page. Figures are aggregate results; terms of use: https://bci.report/data-use/