Average Task Value
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- Citations
- 2
- Size
- 4.00 GB
- Version
- v1.0.0
- Updated
- Jun 23, 2026
[ use those predictions…
EEG recordings from 13 healthy participants performing a copy-spelling task with a visual 6x7 matrix ERP speller. The speller was designed for learning from label proportions (LLP), an unsupervised, calibrationless classification approach for ERP-based brain-computer interfaces. Two stimulus sequences with different target/non-target ratios allowed LLP to reconstruct mean target and non-target responses without labeled data. In the original online study, 84.5% of characters were spelled correctly on average without prior calibration.
…an MEG study of the Reward Positivity. Biological Psychiatry: Cognitive Neuroscience and…
…Some errors are behavioral (wrong gesture performed) not just decoding errors ## Use…
…applying fatigue-based driver performance prediction algorithms. Calibration data sets were designed…
…Before upload, BIDS validation passed with no errors. All 540 recordings were…
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004012-blue…