on005356
MEG: Major Depression & Probabilistic Learning Task
MEG Zarr
…the Reward Positivity during reinforcement learning. Participants were all SCID interviewed to…
- Participants
- 85
- Size
- 162 GB
- Version
- v1.0.0
- Updated
- Jun 26, 2026
Discover datasets
-
- nm000232
THINGS-EEG2: A large and rich EEG dataset for modeling human visual object recognition
EEG ZarrTHINGS-EEG2 is a large EEG dataset from 10 participants who viewed 16,540 training images and 200 repeatedly presented test images from the THINGS database. Images were shown in rapid serial visual presentation at 5 Hz while 63-channel EEG was recorded at 1000 Hz across four sessions per subject. The dataset supports modeling of human visual object recognition and includes resting-state recordings, the authors' preprocessed epochs, and stimulus images.
- Participants
- 10
- Channels
- 63 (10-10)
- Citations
- 88
- Size
- 241 GB
- Version
- v1.1.0
- Updated
- Jul 5, 2026
- on005491
Categorized Free Recall with Open-Loop Stimulation at Encoding
BEH iEEG ZarrThis dataset contains behavioral events and intracranial EEG recordings from neurosurgical patients performing a categorized free recall task. Participants studied lists of words drawn from semantic categories, completed arithmetic distractors, and freely recalled the words. Open-loop electrical stimulation was delivered to hippocampal and entorhinal sites during alternating two-word blocks at encoding, with stimulation parameters recorded in the event files.
- Participants
- 19
- Size
- 22.5 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026
- nm000375
Neural interactions in the human frontal cortex dissociate reward and punishment learning (Combrisson et al., 2024): preprocessed SEEG high-gamma power, 16 patients (derivative)
iEEG…Trial-wise prediction errors from a Q-learning model with learning rate…
- Participants
- 16
- Size
- 464 MB
- Version
- v1.0.0
- Updated
- Oct 8, 2026
- on006260
Dataset of psychophysiological data from children with learning difficulties who strengthen reading and math skills through assistive technology
EEG Zarr…data from Mexican children with learning difficulties who strengthen reading and math…
- Participants
- 76
- Channels
- 32 (10-10)
- Size
- 2.76 GB
- Version
- v1.0.0
- Updated
- Jun 28, 2026
- on005261
Gloups_MEG
MEG Zarr…The same participants performed an identical learning task during fMRI scanning. Related…
- Participants
- 17
- Size
- 225 GB
- Version
- v1.0.0
- Updated
- May 18, 2026
- on005558
Categorized Free Recall with Closed-Loop Stimulation at Encoding (Encoding Classifier)
BEH iEEG ZarrThis dataset contains behavioral events and intracranial electrophysiology (iEEG) recordings from a categorized free recall task with closed-loop electrical stimulation during encoding. Participants studied lists of semantically categorized words, completed arithmetic distractors, and freely recalled the words. Stimulation was triggered by a classifier trained on each participant's prior encoding data to predict subsequent recall. Data were collected at multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania.
- Participants
- 9
- Size
- 12.2 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026
- on007162
Adaptive recruitment of cortex-wide recurrence for visual object recognition (EEG)
EEG ZarrThis dataset contains EEG recordings from 34 participants (one session each) who viewed 242 object images, 121 challenge and 121 control images, selected from comparisons between human behavioural performance and AlexNet. The study examines adaptive recruitment of cortex-wide recurrent processing during visual object recognition. The derivatives folder contains outputs of the decoding analyses, including time-resolved decoding accuracy matrices for object identity (.npz).
- Participants
- 34
- Channels
- 63 (10-10)
- Citations
- 2
- Size
- 61.2 GB
- Version
- v1.0.0
- Updated
- Jun 30, 2026
- on005574
The "Podcast" ECoG dataset
ANAT iEEG ZarrThe "Podcast" electrocorticography (ECoG) dataset captures intracranial neural activity from 9 participants (1,330 grid, depth, and strip electrodes) who listened to a 30-minute naturalistic story containing over 5,000 words. It includes raw recordings, a minimally preprocessed high-gamma version, the auditory stimuli, an aligned word-level transcript, and linguistic features ranging from acoustic properties to large language model embeddings. Tutorials replicating prior findings are provided to support research on natural language comprehension.
- Participants
- 9
- Size
- 14.4 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026
- on004315
Mood Manipulation and PST, Experiment 1
EEG Zarr…10.82901/nemar.on004315) Reinforcement learning task with 50 healthy controls (25…
- Participants
- 50
- Channels
- 66 (10-10)
- Citations
- 1
- Size
- 9.81 GB
- Version
- v1.0.0
- Updated
- Jun 24, 2026