# ds006593: EEG decoding results

P300 target ERP

The cBCI Matrix Multimodal Dataset (OpenNeuro ds006593) contains EEG and eye-tracking calibration recordings from 21 control participants performing a single-character-presentation matrix speller task in BciPy, recorded at Northeastern University in 2023 with a DSI-24 dry-electrode cap. Released on OpenNeuro in 2025 by Celik et al.

**Also known as** ds006593 · cBCI Matrix Multimodal Dataset · Multimodal Sensor Fusion for EEG-Based BCI Typing Systems · on006593

Description sources [openneuro.org](https://openneuro.org/datasets/ds006593) · [nemar.org](https://nemar.org/dataset/on006593)

## Where it appears

- [Core matrix (home page)](https://bci.report/#overview)

## Published results

Every figure below is copied from a reviewed download, not recomputed for this page. Read each group with its protocol on the linked page.

### 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)

**Balanced accuracy, 5 configurations.** Dot: the estimate; line: 95% interval; dashed line: chance level where the payload records one.

- Spectral ridge: 51.0% (49.6%–52.4%)
- Temporal ridge: 53.8% (51.9%–55.6%)
- LaBraM: 49.4% (47.7%–51.2%)
- CBraMod: 55.0% (53.3%–56.7%)
- EEGNet: 53.3% (51.7%–54.9%)

| Method | Condition | Metric | Value | People |
| --- | --- | --- | --- | --- |
| Spectral ridge | Visual target versus nontarget events | Balanced accuracy | 51.0% (49.6%–52.4%) | 21 |
| Temporal ridge | Visual target versus nontarget events | Balanced accuracy | 53.8% (51.9%–55.6%) | 21 |
| [LaBraM](https://bci.report/methods/labram/) | Visual target versus nontarget events | Balanced accuracy | 49.4% (47.7%–51.2%) | 21 |
| [CBraMod](https://bci.report/methods/cbramod/) | Visual target versus nontarget events | Balanced accuracy | 55.0% (53.3%–56.7%) | 21 |
| [EEGNet](https://bci.report/methods/eegnet/) | Visual target versus nontarget events | Balanced accuracy | 53.3% (51.7%–54.9%) | 21 |

## Source and licence

### ds006593

**Credit** OpenNeuro ds006593 contributors · version 1.0.0, doi:10.18112/openneuro.ds006593.v1.0.0; original author credits retained at the linked source.

[CC0-1.0 ↗](https://creativecommons.org/publicdomain/zero/1.0/) · [Dataset record ↗](https://doi.org/10.18112/openneuro.ds006593.v1.0.0)

BCI Report does not redistribute any recording. These are aggregate measurements computed by BCI Report under the licence above; the data belong to the people credited.

[All datasets →](https://bci.report/datasets/) · [All methods →](https://bci.report/methods/)

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Markdown copy of https://bci.report/datasets/ds006593/, generated from the published page. Figures are aggregate results; terms of use: https://bci.report/data-use/