on006159
Implicit Learning EEG (BioSemi)
BEH EEG
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006159-blue…
- Participants
- 61
- Size
- 114 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "implicit learning" · page 1 of 10 · ranked by relevance
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- on003682
Model-based aversive learning in humans is supported by preferential task state reactivation
BEH MEG…the paper "Model-based aversive learning in humans is supported by preferential…
- Participants
- 28
- Size
- 302 GB
- Version
- v1.0.0
- Updated
- Jul 22, 2026
- nm000199
Learning from label proportions for a visual matrix speller (ERP)
EEG…Visual ERP speller copy-spelling task using a 6x7 grid with learning…
- Participants
- 13
- Channels
- 31 (10-10)
- Citations
- 46
- HED
- v8.4.0
- Size
- 5.15 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- on003506
EEG: Reinforcement Learning in Parkinson's
EEG…10.82901/nemar.on003506) Reinforcement learning task with 28 Parkinson patients and…
- Participants
- 56
- Channels
- 67 (10-10)
- Citations
- 2
- Size
- 16.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006802
Collaborative rule learning promotes interbrain information alignment
EEG[
- Size
- 36.6 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on008083
Hierarchical Priors in Perceptual Uncertainty and Psychosis Proneness - A Random-Dot Kinematogram task with low- and high-level priors
EEG…Low-level priors were induced implicitly by 600/900 Hz tones that…
- Participants
- 43
- Channels
- 31 (10-10)
- Size
- 8.76 GB
- Version
- v1.0.0
- Updated
- Aug 18, 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
- on004295
Reward gain and punishment avoidance reversal learning
EEG…82901/nemar.on004295) Two reversal learning tasks with different reinforcer (monetary reward…
- Participants
- 26
- Channels
- 66 (10-10)
- Citations
- 20
- Size
- 31.5 GB
- Version
- v1.0.0
- 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