on004306
EEG Semantic Imagination and Perception Dataset
EEG
[
- Citations
- 1
- Size
- 79.1 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
Discover datasets
100 results for "neural representation" · page 4 of 10 · ranked by relevance
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- on002158
Disentangling the origins of confidence in speeded perceptual judgments through multimodal imaging
ANAT EEG FMAP FUNC…Here, we isolated postdecisional from decisional contributions to metacognition by analyzing neural…
- Participants
- 20
- Size
- 429 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004017
Embodied Learning for Literacy EEG
EEG[
- Size
- 36.6 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000253
Wang et al. 2024 — Brain Treebank: Large-scale intracranial recordings from naturalistic language stimuli
iEEG…Large-scale intracranial recordings from naturalistic language > stimuli.* Advances in Neural Information…
- Participants
- 10
- Size
- 508 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000232
THINGS-EEG2: A large and rich EEG dataset for modeling human visual object recognition
EEGTHINGS-EEG2 is a large-scale EEG dataset comprising recordings from 10 subjects viewing 16,540 distinct training images and 200 test images presented via rapid serial visual presentation at 5 Hz. The dataset includes 63-channel EEG data sampled at 1000 Hz across 4 sessions per subject, with approximately 32,540 training trials and 16,000 test trials, designed to support computational modeling of human visual object recognition. Stimuli are drawn from the THINGS database, and the dataset includes resting-state recordings and behavioral annotations for each trial.
- Participants
- 10
- Channels
- 63 (10-10)
- Citations
- 82
- Size
- 198 GB
- Version
- v1.1.0
- Updated
- Jul 10, 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
- on004517
EEG recordings for semantic decoding of imagined animals and tools during auditory imagery task
EEGThis dataset comprises 64-channel EEG recordings from 7 participants performing an auditory imagery task, in which they imagined sounds associated with animals and tools following visual stimulus cues. The dataset is intended to support research on semantic decoding of imagined auditory content and brain-computer interface applications.
- Participants
- 7
- Channels
- 64 (10-10)
- Size
- 12.7 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on003682
Model-based aversive learning in humans is supported by preferential task state reactivation
BEH MEG[, and event timing files, providing a comprehensive resource for multimodal neuroimaging data integration studies.
- Participants
- 17
- Size
- 25.9 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026