NEMAR copy of ds003458
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EEG: Three armed bandit gambling task
This dataset comprises electroencephalography (EEG) recordings from 23 healthy college students performing a three-armed bandit gambling task with dynamically oscillating reward probabilities. The task was designed to investigate neural correlates of reward processing and reward prediction error during adaptive decision-making and task set generation. Each stimulus condition (blue, red, and green) had oscillating reinforcement probabilities (ranging from 20% to 90%) that moved in different phases across trials. Supplementary physiological recordings including corrugator EMG and skin conductance were acquired on most participants; however, data quality for these supplementary recordings was limited and they were not extensively analyzed. Data were collected in 2014 at the University of New Mexico's Cognitive Rhythms and Computation Lab.
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Coming soon. Per-file data-quality summaries are precomputed by the NEMAR processing pipeline. The static aggregate is on the way — tracked at nemar-cli#511.