# CBraMod: results on public EEG datasets Foundation model CBraMod is an EEG foundation model from Wang et al. (Zhejiang University; ICLR 2025). Its criss-cross Transformer models spatial and temporal dependencies between EEG patches with two parallel attention branches, uses an asymmetric conditional positional encoding, and is pretrained by masked patch reconstruction on the TUEG clinical corpus (over 9,000 hours retained after preprocessing). **Also known as** CBraMod · Criss-Cross Brain Foundation Model · weighting666/CBraMod · Wang et al. 2025 **Reference** [Wang J, Zhao S, Luo Z, Zhou Y, Jiang H, Li S, Li T, Pan G. CBraMod: A Criss-Cross Brain Foundation Model for EEG Decoding. International Conference on Learning Representations (ICLR), 2025. ↗](https://arxiv.org/abs/2412.07236) Directory status: Evaluated · [Official code ↗](https://github.com/wjq-learning/CBraMod) · Description sources [arxiv.org](https://arxiv.org/abs/2412.07236) · [github.com](https://github.com/wjq-learning/CBraMod) · [huggingface.co](https://huggingface.co/weighting666/CBraMod) ## 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/) · Core matrix · motor imagery & rest Read with its protocol: [Core matrix (home page)](https://bci.report/#overview) · Chance level 50.0% · [experiments.json](https://bci.report/data/experiments.json) | Method | Condition | Metric | Value | People | | --- | --- | --- | --- | --- | | [CBraMod](https://bci.report/methods/cbramod/) | Rest versus right-hand imagery | Balanced accuracy | 62.9% (59.6%–66.5%) | 10 | ### [ds003810](https://bci.report/datasets/ds003810/) · Pretraining · fixed readout Read with its protocol: [Does pretraining help?](https://bci.report/topics/does-pretraining-help/) · [deployment-topics.json](https://bci.report/data/deployment-topics.json) | Method | Condition | Metric | Value | People | | --- | --- | --- | --- | --- | | [CBraMod](https://bci.report/methods/cbramod/) | MI / rest · pretrained | Balanced accuracy | 62.9% | 10 | | [CBraMod](https://bci.report/methods/cbramod/) | MI / rest · random initialization (mean) | Balanced accuracy | 56.5% | 10 | ### [ds003810](https://bci.report/datasets/ds003810/) · Pretraining · train-selected readout Read with its protocol: [Does pretraining help?](https://bci.report/topics/does-pretraining-help/) · [deployment-topics.json](https://bci.report/data/deployment-topics.json) | Method | Condition | Metric | Value | People | | --- | --- | --- | --- | --- | | [CBraMod](https://bci.report/methods/cbramod/) | MI / rest · pretrained | Balanced accuracy | 62.7% | 10 | | [CBraMod](https://bci.report/methods/cbramod/) | MI / rest · random initialization (mean) | Balanced accuracy | 54.9% | 10 | ### [EEGMAT](https://bci.report/datasets/eegmat/) · Core matrix · arithmetic & rest Read with its protocol: [Core matrix (home page)](https://bci.report/#overview) · Chance level 50.0% · [experiments.json](https://bci.report/data/experiments.json) | Method | Condition | Metric | Value | People | | --- | --- | --- | --- | --- | | [CBraMod](https://bci.report/methods/cbramod/) | Serial subtraction versus resting EEG | Balanced accuracy | 62.3% (58.1%–66.5%) | 36 | ### [EEGMAT](https://bci.report/datasets/eegmat/) · Pretraining · fixed readout Read with its protocol: [Does pretraining help?](https://bci.report/topics/does-pretraining-help/) · [deployment-topics.json](https://bci.report/data/deployment-topics.json) | Method | Condition | Metric | Value | People | | --- | --- | --- | --- | --- | | [CBraMod](https://bci.report/methods/cbramod/) | Mental workload · pretrained | Balanced accuracy | 62.3% | 36 | | [CBraMod](https://bci.report/methods/cbramod/) | Mental workload · random initialization (mean) | Balanced accuracy | 56.4% | 36 | ### [EEGMAT](https://bci.report/datasets/eegmat/) · Pretraining · train-selected readout Read with its protocol: [Does pretraining help?](https://bci.report/topics/does-pretraining-help/) · [deployment-topics.json](https://bci.report/data/deployment-topics.json) | Method | Condition | Metric | Value | People | | --- | --- | --- | --- | --- | | [CBraMod](https://bci.report/methods/cbramod/) | Mental workload · pretrained | Balanced accuracy | 68.4% | 36 | | [CBraMod](https://bci.report/methods/cbramod/) | Mental workload · random initialization (mean) | Balanced accuracy | 61.7% | 36 | ### [BETA](https://bci.report/datasets/beta/) · Core matrix · SSVEP, 8 channels Read with its protocol: [Core matrix (home page)](https://bci.report/#overview) · Chance level 2.5% · [experiments.json](https://bci.report/data/experiments.json) | Method | Condition | Metric | Value | People | | --- | --- | --- | --- | --- | | [CBraMod](https://bci.report/methods/cbramod/) | 40 visual targets · 8 posterior electrodes | Balanced accuracy | 33.7% (29.8%–37.6%) | 70 | ### [BETA](https://bci.report/datasets/beta/) · Core matrix · SSVEP, 4 channels Read with its protocol: [Core matrix (home page)](https://bci.report/#overview) · Chance level 2.5% · [experiments.json](https://bci.report/data/experiments.json) | Method | Condition | Metric | Value | People | | --- | --- | --- | --- | --- | | [CBraMod](https://bci.report/methods/cbramod/) | 40 visual targets · 4 posterior electrodes | Balanced accuracy | 27.6% (24.1%–31.3%) | 70 | ### [ds006593](https://bci.report/datasets/ds006593/) · Core matrix · P300 target ERP Read with its protocol: [Core matrix (home page)](https://bci.report/#overview) · Chance level 50.0% · [experiments.json](https://bci.report/data/experiments.json) | Method | Condition | Metric | Value | People | | --- | --- | --- | --- | --- | | [CBraMod](https://bci.report/methods/cbramod/) | Visual target versus nontarget events | Balanced accuracy | 55.0% (53.3%–56.7%) | 21 | ### [TMNRED / ds005383](https://bci.report/datasets/tmnred/) · Core matrix · semantic target ERP Read with its protocol: [Core matrix (home page)](https://bci.report/#overview) · Chance level 50.0% · [experiments.json](https://bci.report/data/experiments.json) | Method | Condition | Metric | Value | People | | --- | --- | --- | --- | --- | | [CBraMod](https://bci.report/methods/cbramod/) | Reading · target versus nontarget events | Balanced accuracy | 55.8% (54.2%–57.4%) | 30 | ### [EESM19 scalp subset](https://bci.report/datasets/eesm19/) · Core matrix · sleep staging Read with its protocol: [Core matrix (home page)](https://bci.report/#overview) · Chance level 20.0% · [experiments.json](https://bci.report/data/experiments.json) | Method | Condition | Metric | Value | People | | --- | --- | --- | --- | --- | | [CBraMod](https://bci.report/methods/cbramod/) | Five stages · balanced scalp-EEG sample | Balanced accuracy | 71.3% (68.7%–73.7%) | 20 | ### [ds005342](https://bci.report/datasets/ds005342/) · Core matrix · idle & command Read with its protocol: [Core matrix (home page)](https://bci.report/#overview) · [experiments.json](https://bci.report/data/experiments.json) | Method | Condition | Metric | Value | People | | --- | --- | --- | --- | --- | | [CBraMod](https://bci.report/methods/cbramod/) | Seated motor imagery · cue-gated replay | Command detection ≤3 s | 18.3% | 4 | | [CBraMod](https://bci.report/methods/cbramod/) | Seated motor imagery · cue-gated replay | Idle false activation | 1.7% | 4 | ### [Mobile BCI dataset (SSVEP and ERP paradigms)](https://bci.report/datasets/mobile-bci/) · Movement · SSVEP, 2-second windows Read with its protocol: [On the move](https://bci.report/topics/on-the-move/) · [deployment-topics.json](https://bci.report/data/deployment-topics.json) **Balanced accuracy, 3 configurations.** Dot: the estimate; line: 95% interval; dashed line: chance level where the payload records one. - CBraMod · Standing · scalp · 8 ch: 59.9% (54.3%–65.4%) - CBraMod · Slow walk · 0.8 m/s · scalp · 8 ch: 46.2% (41.1%–51.4%) - CBraMod · Fast walk · 1.6 m/s · scalp · 8 ch: 46.0% (42.2%–49.6%) | Method | Condition | Metric | Value | People | | --- | --- | --- | --- | --- | | [CBraMod](https://bci.report/methods/cbramod/) | Standing · scalp · 8 ch | Balanced accuracy | 59.9% (54.3%–65.4%) | 23 | | [CBraMod](https://bci.report/methods/cbramod/) | Slow walk · 0.8 m/s · scalp · 8 ch | Balanced accuracy | 46.2% (41.1%–51.4%) | 23 | | [CBraMod](https://bci.report/methods/cbramod/) | Fast walk · 1.6 m/s · scalp · 8 ch | Balanced accuracy | 46.0% (42.2%–49.6%) | 23 | [All methods →](https://bci.report/methods/) · [All datasets →](https://bci.report/datasets/) --- Markdown copy of https://bci.report/methods/cbramod/, generated from the published page. Figures are aggregate results; terms of use: https://bci.report/data-use/