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Neural decoding of competitive decision-making in Rock-Paper-Scissors
This dataset comprises 64-channel EEG recordings from 62 participants (31 pairs) engaged in a computerized Rock-Paper-Scissors game consisting of 480 competitive trials. The study investigates neural mechanisms underlying competitive decision-making through multivariate decoding approaches, with recordings lasting approximately one hour per session. The dataset supports investigation of brain activity patterns associated with strategic gameplay and interpersonal competition.
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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.