MEG: Major Depression & Probabilistic Learning Task
…the Reward Positivity during reinforcement learning. Participants were all SCID interviewed to…
- Participants
- 85
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- 162 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
100 results for "unsupervised learning" · page 4 of 10 · ranked by relevance
…the Reward Positivity during reinforcement learning. Participants were all SCID interviewed to…
This dataset contains behavioral events and intracranial EEG recordings from a categorized free recall task with open-loop electrical stimulation applied during encoding. Participants studied semantically organized word lists, performed arithmetic distractor tasks, and then freely recalled the words. Stimulation was delivered to single electrodes in the hippocampus or entorhinal cortex during word encoding on a subset of trials, with data collected across multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania.
…10.82901/nemar.on004317) Reinforcement learning task with 50 healthy controls (25…
A multicenter intracranial electroencephalography (iEEG) dataset comprising segmented 3-second single-channel clips from epilepsy patients, annotated for graphoelement classification and artifact detection. The dataset includes clinical metadata such as seizure onset zone (SOZ) flags, electrode anatomy, and reviewer annotations, making it suitable for developing and validating automated signal classification algorithms in clinical neurophysiology.
[ dataset comprising segmented 3-second single-channel clips from epilepsy patients, annotated for graphoelement classification and artifact detection. The dataset includes 10,000+ clips from multiple subjects with preserved clinical metadata including seizure onset zone (SOZ) flags, electrode anatomy, and reviewer annotations. This resource supports the development and validation of automated signal processing algorithms for clinical neurophysiology applications.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on003753-blue…
…electroencephalography, EEG analysis, machine learning, end-to-end learning, brain-machine interface…