on003392
NeuroSpin hMT+ Localizer DATA (MEG & aMRI)
ANAT MEG
…Supramodal processing optimizes visual perceptual learning and plasticity. Neuroimage, 93, 32-46…
- Participants
- 12
- Citations
- 32
- Size
- 10.1 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "implicit learning" · page 8 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
- nm000323
Lee et al. 2019 (ERP) — EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy
EEG…In training: 'NEURAL NETWORKS AND DEEP LEARNING' (33 characters), in test: 'PATTERN…
- Participants
- 54
- Channels
- 62 (10-05)
- Citations
- 100
- HED
- v8.4.0
- Size
- 132 GB
- Version
- v1.0.4
- Updated
- Aug 18, 2026
- on005571
Expectation of Conflict Stimuli
ANAT EEG FMAP FUNCThis dataset contains EEG recordings from a study examining expectation effects on conflict processing, in which participants performed a task involving conflict stimuli under varying levels of expectation. The data support investigations into the neural mechanisms underlying cognitive control and expectation-driven modulation of conflict-related brain activity. This dataset is mirrored on NEMAR from OpenNeuro (ds005571).
- Participants
- 29
- Channels
- 66 (10-10)
- Citations
- 10
- Size
- 63.3 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004703
sEEG Passive listening to natural speech
ANAT iEEG…training set for commercial machine learning applications. These data may not be…
- Participants
- 10
- Size
- 13.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on002724
A dataset recorded during development of an affective brain-computer music interface: training sessions
EEGThis dataset contains electroencephalogram (EEG), galvanic skin response (GSR), and electrocardiogram (ECG) recordings from 17 healthy participants during an affective music brain-computer interface training study. Participants listened to 40-second music clips (20s per emotional state) designed to induce specific emotional states across three sessions, with self-reported valence and arousal ratings. The data supports the development and validation of music-based brain-computer interfaces for monitoring and inducing affective states. This is the training session dataset; two additional datasets cover system calibration and online real-time control phases.
- Participants
- 10
- Channels
- 32 (10-10)
- Size
- 8.52 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on003483
Logical reasoning study
MEGThis dataset comprises neuroimaging data from a logical reasoning study conducted by the Cognitive and Computational Neuroscience Laboratory. The study investigates neural correlates of logical reasoning processes through multimodal brain imaging. Data were collected and organized according to BIDS standards for reproducibility and accessibility. This dataset is a NEMAR mirror of the OpenNeuro dataset ds003483.
- Participants
- 21
- Size
- 68.3 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on007020
EEG Mortality Dataset in Parkinson's Disease
EEG…PD, or to build machine learning models for classification. Questions or requests…
- Participants
- 94
- Channels
- 63 (10-10)
- Citations
- 3
- Size
- 1.74 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004194
Visual ECoG dataset
ANAT iEEGThis dataset comprises intracranial EEG (ECoG) recordings from 14 epilepsy patients implanted with subdural grid and depth electrodes, collected while they viewed grayscale and color visual stimuli varying in spatial and temporal properties. The recordings were designed to characterize temporal and spatial dynamics of neural responses in human visual cortex, including population receptive field mapping and category-selective responses. Pre-implantation T1-weighted MRI scans are also included for electrode localization. The dataset supports multiple published studies on visual cortical dynamics and adaptation.
- Participants
- 14
- Citations
- 61
- Size
- 57.9 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000152
Upper-limb elbow-centered motor imagery dataset (10 classes)
EEG Zarr verifiedThis dataset comprises EEG recordings from 12 healthy participants performing upper-limb motor imagery tasks centered on elbow movements. Participants executed kinesthetic imagery of nine goal-directed tasks (drawer opening, soup preparation, weight lifting, door opening, plate cleaning, combing, pizza cutting, and pick-and-place operations) plus rest, cued by visual stimuli. The dataset contains 330 trials recorded at 1000 Hz using 17 EEG channels and is designed for brain-computer interface (BCI) research and motor imagery classification studies.
- Participants
- 12
- Channels
- 17 (other)
- Citations
- 13
- HED
- v8.4.0
- Size
- 4.18 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026