on004317
Mood Manipulation and PST, Experiment 2
EEG
…10.82901/nemar.on004317) Reinforcement learning task with 50 healthy controls (25…
- Participants
- 50
- Channels
- 66 (10-10)
- Citations
- 1
- Size
- 18.3 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
Discover datasets
100 results for "learning" · page 4 of 10 · ranked by relevance
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- on005491
Categorized Free Recall with Open-Loop Stimulation at Encoding
BEH iEEGThis 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.
- Participants
- 19
- Size
- 22.5 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on005907
EEG: RL Task (3-Armed Bandit) with alcohol cues in hazardous drinkers and ctls
EEG[
- Size
- 5.65 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on005558
Categorized Free Recall with Closed-Loop Stimulation at Encoding (Encoding Classifier)
BEH iEEGThis dataset comprises intracranial EEG recordings and behavioral events from a categorized free recall task with closed-loop electrical stimulation applied during encoding. Participants studied word lists organized by semantic category, performed arithmetic distractor tasks, and freely recalled words, while a classifier trained on prior encoding data determined stimulation delivery based on predicted memory encoding success. Data were collected across multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania, as part of the DARPA Restoring Active Memory (RAM) project.
- Participants
- 9
- Size
- 12.2 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on007162
Adaptive recruitment of cortex-wide recurrence for visual object recognition (EEG)
EEGThis dataset contains EEG recordings from 34 participants collected to investigate the adaptive recruitment of cortex-wide recurrent processing during visual object recognition. Participants viewed a stimulus set of 242 images, comprising 'challenge' and 'control' images selected based on discrepancies between human behavioral performance and AlexNet classification, while performing a rapid serial visual presentation task with a paper-clip detection component. The dataset includes derivatives with time-resolved decoding accuracy matrices for object identity, supporting analyses of recurrent cortical dynamics in visual processing.
- Participants
- 34
- Channels
- 63 (10-10)
- Citations
- 1
- Size
- 61.2 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on005574
The "Podcast" ECoG dataset
ANAT iEEGThis dataset comprises intracranial electrocorticography (ECoG) recordings from 9 epilepsy patients implanted with grid, depth, and strip electrodes (1,330 electrodes total), collected while participants listened to a 30-minute naturalistic story containing over 5,000 words. It provides raw and minimally preprocessed (high-gamma band) neural data along with aligned auditory stimuli, word-level transcripts, and linguistic features spanning low-level acoustics to large language model embeddings. The dataset is intended to support research on natural language comprehension using high-fidelity invasive recordings and includes tutorials replicating prior findings.
- Participants
- 9
- Citations
- 4
- Size
- 14.4 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000172
High-gamma dataset described in Schirrmeister et al. 2017
EEG Zarr verified…electroencephalography, EEG analysis, machine learning, end-to-end learning, brain-machine interface…
- Participants
- 14
- Channels
- 128 (10-05)
- Citations
- 76
- HED
- v8.4.0
- Size
- 31.3 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
- on004200
Temporal Scaling
BEH EEG[
- Citations
- 5
- Size
- 7.21 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on003801
Neural Tracking to go
EEGImported from OpenNeuro ds003801
- Participants
- 20
- Channels
- 24 (10-10)
- Size
- 1.15 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006260
Dataset of psychophysiological data from children with learning difficulties who strengthen reading and math skills through assistive technology
EEG…data from Mexican children with learning difficulties who strengthen reading and math…
- Participants
- 76
- Channels
- 32 (10-10)
- Citations
- 2
- Size
- 2.76 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026