BCI ReportOpen register
Every EEG model and paper we track, and how far we checked it
Every EEG model and paper we track, with the furthest step we have checked, what that step showed and the terms of its code, weights and data.
What the model ladder holds
Every number here is a value of the register file.
- Rows. 40 rows on the model ladder: each model and method with a page on this site, the other baselines measured here, the models in the directory, and the other models and papers whose official records we read. By the furthest step checked: 11 at step 1, 6 at step 2, none at step 3, 14 at step 4 and 9 at step 5. The dataset ladder has another 487 rows, on the dataset register. The rows here were checked on 16 October 2026 and 20 October 2026.
- Other models and papers. We read the official records of 22 further models and papers; 2 of them already have a method page here and are merged into that method’s row.
The model ladder’s steps
A model or paper climbs five steps with names of their own, and every badge in the table names the model ladder. A row’s step is the furthest one whose key item is on file (at step 2, the weights licence); an item still missing at its step or an earlier one is listed beside the badge as a gap. The evidence for each step, item by item with its source, is in the JSON file.
- Step 1 · Identified
- Official record matched: paper, repository or model page
- Step 2 · Terms recorded
- Licence for each part (code, weights, data); file listing read
- Step 3 · Files checked
- Downloaded, hash-checked, restored or smoke-tested
- Step 4 · Scored here
- A result computed here and published on a page
- Step 5 · In the matrix
- Comparable on the core protocol pages
Rules
- Rows state facts.
- Every row has a correction route.
Gated data and suspected re-uploads have rules of their own, on the dataset register. To correct a row, use the mail link at its end: the subject names the row’s id. How corrections are handled is on the data-use page.
Every row
Each row links its page on this site or the model’s own records. Terms are given for the code, the weights and the data separately, each with who states them, and a part whose terms we could not find says “not found”. A paper’s venue appears only where the venue’s proceedings or the paper’s camera-ready version show it accepted, with the date we checked; where the proceedings are online, the venue links them. Whether a model’s pretraining data include the data it is scored on appears as its pretraining exposure.
| Model or paper | Kind · signal | Terms by part (code / weights / data) | Checked to | What we found |
|---|---|---|---|---|
| Models with results on this siteModels and methods with results on this site; each links its page. | ||||
| CBraModPaper ↗ · Code ↗Also: Criss-Cross Brain Foundation Model, Wang et al. 2025 · Official weights: weighting666/CBraMod · Weights copies: smoking11/CBraMod, braindecode/cbramod-pretrained, hanhan05/cbramod-pretrained, eeg-telecom-paris/cbramod-base-official, oraculumai/CBraMod-CoreML-Apple | Foundation model · human scalp EEG | Code: MIT (this site’s rights record)Weights: Apache-2.0 (the model card’s metadata)Data: per source (the paper) | Model ladder · step 5 of 5 · In the matrix | |
| CCAPaper ↗ · Code ↗Also: Standard CCA, canonical correlation analysis, Lin et al. 2006 | Classical method · human scalp EEG | Code: BSD-3-Clause (this site’s rights record)Weights: not applicable (this site’s rights record)Data: per source | Model ladder · step 5 of 5 · In the matrix | |
| CSP+LDAPaper ↗ · Code ↗Also: Common Spatial Patterns, CSP, Ramoser et al. 2000 | Classical method · human scalp EEG | Code: BSD-3-Clause (this site’s rights record)Weights: not applicable (this site’s rights record)Data: per source | Model ladder · step 5 of 5 · In the matrix | |
| Deep4NetPaper ↗ · Code ↗Also: Deep ConvNet, DeepConvNet, Schirrmeister et al. 2017 | Trained from scratch · human scalp EEG | Code: BSD-3-Clause (this site’s rights record)Weights: not applicable (this site’s rights record)Data: per source | Model ladder · step 5 of 5 · In the matrix | |
| EEGNetPaper ↗ · Code ↗Also: EEGNet-8,2, EEGNet-4,2, EEGNetv4, Lawhern et al. 2018 | Trained from scratch · human scalp EEG | Code: BSD-3-Clause (this site’s rights record)Weights: not applicable (this site’s rights record)Data: per source | Model ladder · step 5 of 5 · In the matrix | |
| LaBraMPaper ↗ · Code ↗Also: Large Brain Model, LaBraM-Base, Labram, Jiang et al. 2024 · Weights copies: braindecode/labram-pretrained, braindecode/Labram-Braindecode, eeg-telecom-paris/labram-base-official | Foundation model · human scalp EEG | Code: MIT (this site’s rights record)Weights: MIT (this site’s rights record)Data: per source (the paper) | Model ladder · step 5 of 5 · In the matrix | |
| ShallowFBCSPNetPaper ↗ · Code ↗Also: Shallow ConvNet, ShallowConvNet, Schirrmeister et al. 2017 | Trained from scratch · human scalp EEG | Code: BSD-3-Clause (this site’s rights record)Weights: not applicable (this site’s rights record)Data: per source | Model ladder · step 5 of 5 · In the matrix | |
| BrainOmniPaper ↗ · Code ↗Also: BrainOmni Base, BrainTokenizer · Official weights: OpenTSLab/BrainOmni · Weights copies: braindecode/brainomni-base-pretrained | Foundation model · human scalp EEG | Code: MIT (the repository’s licence file)Weights: MIT (this site’s rights record)Data: per source (the paper) | Model ladder · step 4 of 5 · Scored here | |
| CodeBrainPaper ↗ · Code ↗Official weights: YjMajy/CodeBrain | Foundation model · human scalp EEG | Code: Apache-2.0 (the repository’s licence file)Weights: Apache-2.0 (this site’s rights record)Data: per source (the paper) | Model ladder · step 4 of 5 · Scored here | |
| eeg-fm-maskingPaper ↗ · Code ↗Also: eeg-fm-masking MAE, eeg-fm-masking JEPA · Official weights: PierreGtch/eeg-fm-masking_mae_r9cm_L2 | Foundation model · human scalp EEG | Code: MIT (the repository’s licence file)Weights: CC-BY-4.0 (this site’s rights record)Data: per source (the paper) | Model ladder · step 4 of 5 · Scored here | |
| EEGMambaPaper ↗ · Code ↗Also: Wang et al. 2025 (Neural Networks) · Official weights: weighting666/EEGMamba | Foundation model · human scalp EEG | Code: MIT (the repository’s licence file)Weights: MIT (this site’s rights record)Data: per source (the paper) | Model ladder · step 4 of 5 · Scored here | |
| EEGPTPaper ↗ · Code ↗Also: BINE022/EEGPT, eegpt_mcae_58chs_4s_large4E · Weights copies: braindecode/eegpt-pretrained, eeg-telecom-paris/eegpt-large-official | Foundation model · human scalp EEG | Code: Apache-2.0 (the repository’s licence file)Weights: not foundData: per source (the paper) | Model ladder · step 4 of 5 · Scored heregap at step 2: weights licence | |
| ERP-FMPaper ↗ · Code ↗Also: ERP-FM Base | Foundation model · human scalp EEG | Code: CC BY-NC-SA 4.0 (the repository’s licence file)Weights: CC BY-NC-SA 4.0 (this site’s rights record)Data: per source (the paper) | Model ladder · step 4 of 5 · Scored here | |
| eTRCAPaper ↗ · Code ↗Also: ensemble TRCA, ensemble task-related component analysis, TRCA, task-related component analysis, TRCA-SSVEP, Nakanishi et al. 2018 | Classical method · human scalp EEG | Code: not foundWeights: not applicableData: per source | Model ladder · step 4 of 5 · Scored heregap at step 2: code licence | |
| FBCCAPaper ↗Also: filter bank CCA, filter bank canonical correlation analysis, Chen et al. 2015 | Classical method · human scalp EEG | Code: not foundWeights: not applicableData: per source | Model ladder · step 4 of 5 · Scored heregap at step 2: code licence | |
| LUNAPaper ↗ · Code ↗ · Weights ↗Also: LUNA Base, LUNA Large · Official weights: PulpBio/LUNA | Foundation model · human scalp EEG | Code: Apache-2.0 (the repository’s licence file)Weights: CC BY-ND 4.0 (this site’s rights record)Data: per source (the paper) | Model ladder · step 4 of 5 · Scored here | |
| REVEPaper ↗ · Code ↗ · Weights ↗Also: REVE Base, REVE Large · Official weights: brain-bzh/reve-base, brain-bzh/reve-large | Foundation model · human scalp EEG | Code: MIT (the repository’s licence file)Weights: REVE Responsible Use License v1.0 (this site’s rights record)Data: per source (the paper) | Model ladder · step 4 of 5 · Scored here | |
| SingLEMPaper ↗ · Code ↗Official weights: ttlabtuat/SingLEM | Foundation model · human scalp EEG | Code: MIT (the repository’s licence file)Weights: MIT (this site’s rights record)Data: per source (the paper) | Model ladder · step 4 of 5 · Scored here | |
| ST-EEGFormerCode ↗Also: ST-EEGFormer Base, ST-EEGFormer Large, STEEGFormer · Weights copies: braindecode/STEEGFormer-base, braindecode/STEEGFormer-large | Foundation model · human scalp EEG | Code: MIT (the repository’s licence file)Weights: MIT (this site’s rights record)Data: per source (the paper) | Model ladder · step 4 of 5 · Scored here | |
| ZUNAPaper ↗ · Code ↗ · Weights ↗Also: ZUNA 1.1, ZUNA1.1 · Official weights: Zyphra/ZUNA1.1 · Weights copies: modulsx/ZUNA1.1, suryatmodulus/ZUNA1.1, oraculumai/ZUNA1.1-CoreML-Apple, oraculumai/ZUNA1.1-CoreML-Apple-1s, oraculumai/ZUNA1.1-CoreML-Apple-30s, oraculumai/ZUNA1.1-Classifier-CoreML-Apple | Foundation model · human scalp EEG | Code: Apache-2.0 (the repository’s licence file)Weights: Apache-2.0 (this site’s rights record)Data: per source (the paper) | Model ladder · step 4 of 5 · Scored here |
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| Other models and papers we trackOther models and papers we track, each at the furthest step checked; a row that is held says why. | ||||
| BENDRWeights ↗ | Foundation model · human scalp EEG | Code: not foundWeights: BSD-3-Clause (the model card’s metadata)Data: not found | Model ladder · step 2 of 5 · Terms recordedgap at step 2: code licencegap at step 2: data terms | |
| BIOTCode ↗ | Foundation model · human scalp EEG | Code: MIT (this site’s rights record)Weights: not foundData: not found | Model ladder · step 1 of 5 · Identified | |
| BioX-BridgeICLR 2026 paper ↗ · status checked 16 October 2026Code ↗ | Adaptation method · human scalp EEG, ECG, PPG, and EMG | Code: not foundWeights: per source (the paper)Data: per source (the paper) | Model ladder · step 1 of 5 · Identified |
|
| BrainLMICLR 2024 paper ↗ · status checked 16 October 2026Code ↗ · Weights ↗Official weights: vandijklab/brainlm | Foundation model · human fMRI | Code: not foundWeights: CC BY-NC-ND 4.0 (the model card’s metadata)Data: on application (the paper) | Model ladder · step 2 of 5 · Terms recordedgap at step 2: code licence |
|
| CSBrainCode ↗ | Foundation model · human scalp EEG | Code: not foundWeights: not foundData: not found | Model ladder · step 1 of 5 · Identified | |
| DIVER-1Paper ↗ · Code ↗Weights copies: braindecode/DIVER-1-0.1s-tiny, braindecode/DIVER-1-1s-small | Foundation model · human iEEG and human scalp EEG | Code: MIT (the repository’s licence file)Weights: not foundData: not found | Model ladder · step 1 of 5 · Identified |
|
| EEG-ConformerCode ↗ | Trained from scratch · human scalp EEG | Code: GPL-3.0 (this site’s rights record)Weights: not foundData: not found | Model ladder · step 1 of 5 · Identified | |
| EEG-DINOPaper ↗ | Foundation model · human scalp EEG | Code: not foundWeights: not foundData: not found | Model ladder · step 1 of 5 · Identified | |
| EEGSimpleConvCode ↗ | Trained from scratch · human scalp EEG | Code: BSD-3-Clause (this site’s rights record)Weights: not foundData: not found | Model ladder · step 1 of 5 · Identified | |
| MIRepNetCode ↗ | Foundation model · human scalp EEG | Code: MIT (the repository’s licence file)Weights: MIT (the model card’s metadata)Data: not found | Model ladder · step 2 of 5 · Terms recordedgap at step 2: data terms | |
| Neuro-GPTCode ↗ | Foundation model · human scalp EEG | Code: GPL-3.0 (the repository’s licence file)Weights: GPL-3.0 (the model card’s metadata)Data: not found | Model ladder · step 2 of 5 · Terms recordedgap at step 2: data terms | |
| NeuroformerICLR 2024 paper · status checked 16 October 2026Code ↗ | Generative model · mouse spiking | Code: MIT (the repository’s licence file)Weights: not foundData: not found | Model ladder · step 1 of 5 · Identified |
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| NeuroLM-BICLR 2025 paper ↗ · status checked 16 October 2026Code ↗ · Weights ↗Official weights: Weibang/NeuroLM | Foundation model · human scalp EEG | Code: MIT (the repository’s licence file)Weights: CC BY 4.0 (the model card’s metadata)Data: per source (the paper) | Model ladder · step 4 of 5 · Scored here |
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| OmniMouseICLR 2026 paper · status checked 16 October 2026Code ↗ · Weights ↗ · Data ↗Official weights: the-enigma-project/omnimouse-80M · Weights copies: the-enigma-project/omnimouse, TheKonstantinWilleke/omnimouse | Foundation model · mouse calcium imaging | Code: not foundWeights: Apache-2.0 (the model card’s metadata)Data: CC BY 4.0 (the dataset card) | Model ladder · step 2 of 5 · Terms recordedgap at step 2: code licence |
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| Population Transformer (PopT)ICLR 2025 paper · status checked 16 October 2026Code ↗ · Weights ↗ · Data ↗Official weights: PopulationTransformer/popt_brainbert_stft · Weights copies: braindecode/popt-pretrained | Spatial aggregation model · human iEEG and human scalp EEG | Code: MIT (the repository’s licence file)Weights: not foundData: CC BY 4.0 (the project page) | Model ladder · step 1 of 5 · Identified |
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| POYO-CAPICLR 2026 paper ↗ · status checked 16 October 2026Code ↗ · Data ↗ | Decoding model · mouse calcium imaging | Code: MIT (the repository’s licence file)Weights: not foundData: not found | Model ladder · step 1 of 5 · Identified |
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| POYO+ICLR 2025 paper ↗ · status checked 16 October 2026Data ↗ | Decoding model · mouse calcium imaging | Code: not foundWeights: not foundData: not found | Model ladder · step 1 of 5 · Identified |
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| Signal-JEPAWeights ↗ | Foundation model · human scalp EEG | Code: not foundWeights: MIT (the model card’s metadata)Data: not found | Model ladder · step 2 of 5 · Terms recordedgap at step 2: code licencegap at step 2: data terms | |
| Spectral ridgeCode ↗ | Classical method · human scalp EEG | Code: BSD-3-Clause (this site’s rights record)Weights: not applicable (this site’s rights record)Data: per source | Model ladder · step 5 of 5 · In the matrix | |
| Temporal ridgeCode ↗ | Classical method · human scalp EEG | Code: BSD-3-Clause (this site’s rights record)Weights: not applicable (this site’s rights record)Data: per source | Model ladder · step 5 of 5 · In the matrix | |
Download: open-register-20261020.json (both ladders, with each step’s evidence and the findings as codes). Every file
Cite this page
BCI Report (2026). Every EEG model and paper we track, and how far we checked it. https://bci.report/methods/register/
Figures from release open-register-update-20261020 (2026-10-20). Cite the upstream datasets as well: each dataset’s page gives its credit.
Every release is archived on Zenodo: doi:10.5281/zenodo.23123296. BibTeX for the site and its releases → · CITATION.cff ↗