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Categorized Free Recall with Closed-Loop Stimulation at Encoding (Encoding Classifier)
This dataset contains intracranial electrophysiology recordings and behavioral data from a categorized free recall task with real-time closed-loop brain stimulation during encoding. Participants studied semantically organized word lists, performed distractor tasks, and freely recalled items while a machine learning classifier trained on prior sessions predicted subsequent memory performance and triggered stimulation for low-confidence encoding events. The study demonstrates the application of predictive neural decoding to modulate memory encoding through targeted electrical stimulation.
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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.