Comparing P300 Flashing paradigms in online typing with language models

This dataset comprises electroencephalography (EEG) recordings from a P300-based brain-computer interface speller study investigating the effects of different flashing paradigms on online typing performance. The study integrates language models to enhance decoding accuracy and compares multiple P300 flashing strategies during real-time spelling tasks. Data were collected using BCI2000 and include recordings from multiple subjects performing typing tasks under different experimental conditions.

EEG

Download zip Issues GitHub OpenNeuro ds005028

Compute on this dataset

Two routes today, with a third (in-browser one-click submission) landing soon.

NeuroScience Gateway (NSG) portal.
NSG runs EEGLAB / Brainstorm / MNE pipelines on supercomputing time donated by SDSC. Create an account, point a job at this dataset's S3 prefix (s3://nemar/on005028), and submit.
nsgportal.org →
Local processing with nemar-cli.
Pull the dataset to your machine and run any toolbox locally. Honors the published version pinning.
```
npm install -g nemar-cli
nemar dataset clone on005028
cd on005028 && nemar dataset get
```
Just the files.
rclone, aria2c, or any HTTPS client works against data.nemar.org/on005028/ — the manifest carries presigned S3 URLs.

Direct compute access is coming soon. One-click NSG submission from this page is scoped for a follow-up phase. Tracked on nemarOrg/website#6.

DOI 10.82901/nemar.on005028

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Files

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