# Every EEG model and paper we track, and how far we checked it

Open register

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](https://bci.report/data/open-register-20261020.json).

- **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](https://bci.report/datasets/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](https://bci.report/datasets/register/#levels). 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](https://bci.report/data-use/#register-corrections).

## 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 site** — Models and methods with results on this site; each links its page. |  |  |  |  |
| [CBraMod](https://bci.report/methods/cbramod/) — [Paper ↗](https://arxiv.org/abs/2412.07236) · [Code ↗](https://github.com/wjq-learning/CBraMod) — 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 | [Correct this row](mailto:contact@bci.report?subject=Register%20row%20r-model-cbramod) |
| [CCA](https://bci.report/methods/cca/) — [Paper ↗](https://doi.org/10.1109/TBME.2006.886577) · [Code ↗](https://scikit-learn.org/stable/) — 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 | [Correct this row](mailto:contact@bci.report?subject=Register%20row%20r-model-cca) |
| [CSP+LDA](https://bci.report/methods/csp-lda/) — [Paper ↗](https://doi.org/10.1109/86.895946) · [Code ↗](https://mne.tools/stable/generated/mne.decoding.CSP.html) — 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 | [Correct this row](mailto:contact@bci.report?subject=Register%20row%20r-model-csp-lda) |
| [Deep4Net](https://bci.report/methods/deep4net/) — [Paper ↗](https://doi.org/10.1002/hbm.23730) · [Code ↗](https://github.com/braindecode/braindecode/tree/v1.5.1) — 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 | [Correct this row](mailto:contact@bci.report?subject=Register%20row%20r-model-deep4net) |
| [EEGNet](https://bci.report/methods/eegnet/) — [Paper ↗](https://doi.org/10.1088/1741-2552/aace8c) · [Code ↗](https://github.com/braindecode/braindecode/tree/v1.5.1) — 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 | [Correct this row](mailto:contact@bci.report?subject=Register%20row%20r-model-eegnet) |
| [LaBraM](https://bci.report/methods/labram/) — [Paper ↗](https://arxiv.org/abs/2405.18765) · [Code ↗](https://github.com/935963004/LaBraM) — 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 | [Correct this row](mailto:contact@bci.report?subject=Register%20row%20r-model-labram) |
| [ShallowFBCSPNet](https://bci.report/methods/shallowfbcspnet/) — [Paper ↗](https://doi.org/10.1002/hbm.23730) · [Code ↗](https://github.com/braindecode/braindecode/tree/v1.5.1) — 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 | [Correct this row](mailto:contact@bci.report?subject=Register%20row%20r-model-shallowfbcspnet) |
| [BrainOmni](https://bci.report/methods/brainomni/) — [Paper ↗](https://arxiv.org/abs/2505.18185) · [Code ↗](https://github.com/OpenTSLab/BrainOmni) — 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 | [Correct this row](mailto:contact@bci.report?subject=Register%20row%20r-model-brainomni) |
| [CodeBrain](https://bci.report/methods/codebrain/) — [Paper ↗](https://arxiv.org/abs/2506.09110) · [Code ↗](https://github.com/jingyingma01/CodeBrain) — 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 | [Correct this row](mailto:contact@bci.report?subject=Register%20row%20r-model-codebrain) |
| [eeg-fm-masking](https://bci.report/methods/eeg-fm-masking/) — [Paper ↗](https://arxiv.org/abs/2609.33487) · [Code ↗](https://github.com/PierreGtch/eeg-fm-masking) — 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 | [Correct this row](mailto:contact@bci.report?subject=Register%20row%20r-model-eeg-fm-masking) |
| [EEGMamba](https://bci.report/methods/eegmamba/) — [Paper ↗](https://doi.org/10.1016/j.neunet.2025.107816) · [Code ↗](https://github.com/wjq-learning/EEGMamba) — 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 | [Correct this row](mailto:contact@bci.report?subject=Register%20row%20r-model-eegmamba) |
| [EEGPT](https://bci.report/methods/eegpt/) — [Paper ↗](https://doi.org/10.52202/079017-1239) · [Code ↗](https://github.com/BINE022/EEGPT) — 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 found Data: per source (the paper) | Model ladder · step 4 of 5 · Scored here — gap at step 2: weights licence | [Correct this row](mailto:contact@bci.report?subject=Register%20row%20r-model-eegpt) |
| [ERP-FM](https://bci.report/methods/erp-fm/) — [Paper ↗](https://arxiv.org/abs/2609.32796) · [Code ↗](https://github.com/DL4mHealth/ERP-FM) — 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 | [Correct this row](mailto:contact@bci.report?subject=Register%20row%20r-model-erp-fm) |
| [eTRCA](https://bci.report/methods/etrca/) — [Paper ↗](https://doi.org/10.1109/TBME.2017.2694818) · [Code ↗](https://github.com/mnakanishi/TRCA-SSVEP) — 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 found Weights: not applicable Data: per source | Model ladder · step 4 of 5 · Scored here — gap at step 2: code licence | [Correct this row](mailto:contact@bci.report?subject=Register%20row%20r-model-etrca) |
| [FBCCA](https://bci.report/methods/fbcca/) — [Paper ↗](https://doi.org/10.1088/1741-2560/12/4/046008) — Also: filter bank CCA, filter bank canonical correlation analysis, Chen et al. 2015 | Classical method · human scalp EEG | Code: not found Weights: not applicable Data: per source | Model ladder · step 4 of 5 · Scored here — gap at step 2: code licence | [Correct this row](mailto:contact@bci.report?subject=Register%20row%20r-model-fbcca) |
| [LUNA](https://bci.report/methods/luna/) — [Paper ↗](https://arxiv.org/abs/2510.22257) · [Code ↗](https://github.com/pulp-bio/BioFoundation) · [Weights ↗](https://huggingface.co/models?search=LUNA) — 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 | [Correct this row](mailto:contact@bci.report?subject=Register%20row%20r-model-luna) |
| [REVE](https://bci.report/methods/reve/) — [Paper ↗](https://arxiv.org/abs/2510.21585) · [Code ↗](https://github.com/elouayas/reve_eeg) · [Weights ↗](https://huggingface.co/models?search=reve-base) — 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 | [Correct this row](mailto:contact@bci.report?subject=Register%20row%20r-model-reve) |
| [SingLEM](https://bci.report/methods/singlem/) — [Paper ↗](https://arxiv.org/abs/2509.17920v3) · [Code ↗](https://github.com/ttlabtuat/SingLEM) — 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 | [Correct this row](mailto:contact@bci.report?subject=Register%20row%20r-model-singlem) |
| [ST-EEGFormer](https://bci.report/methods/st-eegformer/) — [Code ↗](https://github.com/LiuyinYang1101/STEEGFormer) — 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 | [Correct this row](mailto:contact@bci.report?subject=Register%20row%20r-model-st-eegformer) |
| [ZUNA](https://bci.report/methods/zuna/) — [Paper ↗](https://arxiv.org/abs/2607.27308) · [Code ↗](https://github.com/Zyphra/zuna) · [Weights ↗](https://huggingface.co/models?search=ZUNA1.1) — 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 | Pretraining exposure: unknown [Correct this row](mailto:contact@bci.report?subject=Register%20row%20r-model-zuna) |
| **Other models and papers we track** — Other models and papers we track, each at the furthest step checked; a row that is held says why. |  |  |  |  |
| [BENDR](https://bci.report/methods/#bendr) — [Weights ↗](https://huggingface.co/models?search=braindecode-bendr) | Foundation model · human scalp EEG | Code: not found Weights: `BSD-3-Clause` (the model card’s metadata) Data: not found | Model ladder · step 2 of 5 · Terms recorded — gap at step 2: code licence — gap at step 2: data terms | [Correct this row](mailto:contact@bci.report?subject=Register%20row%20r-model-bendr) |
| [BIOT](https://bci.report/methods/#biot) — [Code ↗](https://github.com/ycq091044/BIOT) | Foundation model · human scalp EEG | Code: `MIT` (this site’s rights record) Weights: not found Data: not found | Model ladder · step 1 of 5 · Identified | [Correct this row](mailto:contact@bci.report?subject=Register%20row%20r-model-biot) |
| BioX-Bridge — [ICLR 2026 paper ↗](https://proceedings.iclr.cc/paper_files/paper/2026/hash/b4ec8a0ae0373d694dc8529ca523e9a9-Abstract-Conference.html) · status checked 16 October 2026 — [Code ↗](https://github.com/chenqi-li/BioX-Bridge) | Adaptation method · human scalp EEG, ECG, PPG, and EMG | Code: not found Weights: per source (the paper) Data: per source (the paper) | Model ladder · step 1 of 5 · Identified | Held: no licence found for the code.; Held: no checkpoint is released. [Correct this row](mailto:contact@bci.report?subject=Register%20row%20r-model-biox-bridge) |
| BrainLM — [ICLR 2024 paper ↗](https://proceedings.iclr.cc/paper_files/paper/2024/hash/029ce70401321de3808b3ac39e1ab167-Abstract-Conference.html) · status checked 16 October 2026 — [Code ↗](https://github.com/vandijklab/BrainLM) · [Weights ↗](https://huggingface.co/models?search=brainlm) — Official weights: vandijklab/brainlm | Foundation model · human fMRI | Code: not found Weights: `CC BY-NC-ND 4.0` (the model card’s metadata) Data: on application (the paper) | Model ladder · step 2 of 5 · Terms recorded — gap at step 2: code licence | Held: the weights’ licence is non-commercial with no derivatives.; Held: trained on signals other than human scalp EEG. [Correct this row](mailto:contact@bci.report?subject=Register%20row%20r-model-brainlm) |
| [CSBrain](https://bci.report/methods/#csbrain) — [Code ↗](https://github.com/yuchen2199/CSBrain) | Foundation model · human scalp EEG | Code: not found Weights: not found Data: not found | Model ladder · step 1 of 5 · Identified | [Correct this row](mailto:contact@bci.report?subject=Register%20row%20r-model-csbrain) |
| DIVER-1 — [Paper ↗](https://arxiv.org/abs/2512.19097) · [Code ↗](https://github.com/DIVER-Project/DIVER-1) — 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 found Data: not found | Model ladder · step 1 of 5 · Identified | Held: no licence found for the weights. [Correct this row](mailto:contact@bci.report?subject=Register%20row%20r-model-diver-1) |
| [EEG-Conformer](https://bci.report/methods/#eeg-conformer) — [Code ↗](https://github.com/eeyhsong/EEG-Conformer) | Trained from scratch · human scalp EEG | Code: `GPL-3.0` (this site’s rights record) Weights: not found Data: not found | Model ladder · step 1 of 5 · Identified | [Correct this row](mailto:contact@bci.report?subject=Register%20row%20r-model-eeg-conformer) |
| [EEG-DINO](https://bci.report/methods/#eeg-dino) — [Paper ↗](https://papers.miccai.org/miccai-2025/0278-Paper3347.html) | Foundation model · human scalp EEG | Code: not found Weights: not found Data: not found | Model ladder · step 1 of 5 · Identified | [Correct this row](mailto:contact@bci.report?subject=Register%20row%20r-model-eeg-dino) |
| [EEGSimpleConv](https://bci.report/methods/#eegsimpleconv) — [Code ↗](https://braindecode.org/stable/generated/braindecode.models.EEGSimpleConv.html) | Trained from scratch · human scalp EEG | Code: `BSD-3-Clause` (this site’s rights record) Weights: not found Data: not found | Model ladder · step 1 of 5 · Identified | [Correct this row](mailto:contact@bci.report?subject=Register%20row%20r-model-eegsimpleconv) |
| [MIRepNet](https://bci.report/methods/#mirepnet) — [Code ↗](https://github.com/staraink/MIRepNet) | 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 recorded — gap at step 2: data terms | [Correct this row](mailto:contact@bci.report?subject=Register%20row%20r-model-mirepnet) |
| [Neuro-GPT](https://bci.report/methods/#neuro-gpt) — [Code ↗](https://github.com/wenhui0206/NeuroGPT) | 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 recorded — gap at step 2: data terms | [Correct this row](mailto:contact@bci.report?subject=Register%20row%20r-model-neuro-gpt) |
| Neuroformer — ICLR 2024 paper · status checked 16 October 2026 — [Code ↗](https://github.com/a-antoniades/Neuroformer) | Generative model · mouse spiking | Code: `MIT` (the repository’s licence file) Weights: not found Data: not found | Model ladder · step 1 of 5 · Identified | Held: no checkpoint is released.; Held: trained on signals other than human scalp EEG. [Correct this row](mailto:contact@bci.report?subject=Register%20row%20r-model-neuroformer) |
| NeuroLM-B — [ICLR 2025 paper ↗](https://proceedings.iclr.cc/paper_files/paper/2025/file/8b4add8b0aa8749d80a34ca5d941c355-Paper-Conference.pdf) · status checked 16 October 2026 — [Code ↗](https://github.com/935963004/NeuroLM) · [Weights ↗](https://huggingface.co/models?search=NeuroLM) — 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 | Pretraining exposure: unknown; Its results on this site: [Pilot studies](https://bci.report/topics/pilot-studies/#neurolm-eegmat), [Clinical groups](https://bci.report/topics/clinical-groups/#iesseeg) [Correct this row](mailto:contact@bci.report?subject=Register%20row%20r-model-neurolm-b) |
| OmniMouse — ICLR 2026 paper · status checked 16 October 2026 — [Code ↗](https://github.com/enigma-brain/omnimouse) · [Weights ↗](https://huggingface.co/models?search=omnimouse-80M) · [Data ↗](https://huggingface.co/datasets?search=omnimouse-dataset) — Official weights: the-enigma-project/omnimouse-80M · Weights copies: the-enigma-project/omnimouse, TheKonstantinWilleke/omnimouse | Foundation model · mouse calcium imaging | Code: not found Weights: `Apache-2.0` (the model card’s metadata) Data: `CC BY 4.0` (the dataset card) | Model ladder · step 2 of 5 · Terms recorded — gap at step 2: code licence | Held: no licence found for the code.; Held: trained on signals other than human scalp EEG. [Correct this row](mailto:contact@bci.report?subject=Register%20row%20r-model-omnimouse) |
| Population Transformer (PopT) — ICLR 2025 paper · status checked 16 October 2026 — [Code ↗](https://github.com/czlwang/PopulationTransformer) · [Weights ↗](https://huggingface.co/models?search=popt_brainbert_stft) · [Data ↗](https://braintreebank.dev/) — 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 found Data: `CC BY 4.0` (the project page) | Model ladder · step 1 of 5 · Identified | Held: no licence found for the weights. [Correct this row](mailto:contact@bci.report?subject=Register%20row%20r-model-popt) |
| POYO-CAP — [ICLR 2026 paper ↗](https://proceedings.iclr.cc/paper_files/paper/2026/hash/e6d82f5b06481dabbdf74bd38d013bbe-Abstract-Conference.html) · status checked 16 October 2026 — [Code ↗](https://github.com/Transconnectome/POYO-CAP) · [Data ↗](https://portal.brain-map.org/explore/circuits/observatory) | Decoding model · mouse calcium imaging | Code: `MIT` (the repository’s licence file) Weights: not found Data: not found | Model ladder · step 1 of 5 · Identified | Held: no checkpoint is released.; Held: trained on signals other than human scalp EEG. [Correct this row](mailto:contact@bci.report?subject=Register%20row%20r-model-poyo-cap) |
| POYO+ — [ICLR 2025 paper ↗](https://proceedings.iclr.cc/paper_files/paper/2025/hash/953390c834451505703c9da45de634d8-Abstract-Conference.html) · status checked 16 October 2026 — [Data ↗](https://portal.brain-map.org/explore/circuits/observatory) | Decoding model · mouse calcium imaging | Code: not found Weights: not found Data: not found | Model ladder · step 1 of 5 · Identified | Held: the code repository could not be reached.; Held: trained on signals other than human scalp EEG. [Correct this row](mailto:contact@bci.report?subject=Register%20row%20r-model-poyo-plus) |
| [Signal-JEPA](https://bci.report/methods/#signal-jepa) — [Weights ↗](https://huggingface.co/models?search=signal-jepa) | Foundation model · human scalp EEG | Code: not found Weights: `MIT` (the model card’s metadata) Data: not found | Model ladder · step 2 of 5 · Terms recorded — gap at step 2: code licence — gap at step 2: data terms | [Correct this row](mailto:contact@bci.report?subject=Register%20row%20r-model-signal-jepa) |
| [Spectral ridge](https://bci.report/methods/#other-evaluated) — [Code ↗](https://scikit-learn.org/stable/) | 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 | [Correct this row](mailto:contact@bci.report?subject=Register%20row%20r-model-spectral-ridge) |
| [Temporal ridge](https://bci.report/methods/#other-evaluated) — [Code ↗](https://scikit-learn.org/stable/) | 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 | [Correct this row](mailto:contact@bci.report?subject=Register%20row%20r-model-temporal-ridge) |

Download: [`open-register-20261020.json`](https://bci.report/data/open-register-20261020.json) (both ladders, with each step’s evidence and the findings as codes). [Every file](https://bci.report/api/)

## 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`](https://bci.report/releases/#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](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/register/, generated from the published page. Figures are aggregate results; terms of use: https://bci.report/data-use/