NEMAR copy of ds004317
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Mood Manipulation and PST, Experiment 2
This dataset comprises electroencephalography (EEG) recordings from 50 healthy control participants performing a reinforcement learning task under two mood conditions (sad and happy mood manipulation). The study examines how affective state influences learning and decision-making processes, with data collected between 2019-2021. The task includes distinct training and testing phases, with mood manipulation administered prior to each training block.
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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.