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Heuristics in risky decision-making relate to preferential representation of information MEG data
This magnetoencephalography (MEG) dataset examines how heuristics in risky decision-making relate to preferential representation of decision-relevant information. Participants completed a risky decision-making task across multiple scanner runs, with event timing recorded via photodiode and synchronized to MEG recordings. The dataset includes raw MEG data, event timing information, and preprocessed epoched data for both a localizer task and the main choice task, supporting investigation of neural correlates of decision heuristics and information processing biases.
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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.