on005107
FACE-DEC
BEH MEG
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005107-blue…
- Participants
- 21
- Citations
- 1
- Size
- 27.6 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
Discover datasets
100 results for "Bayesian model selection" · page 2 of 10 · ranked by relevance
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- on005065
Heuristics in risky decision-making relate to preferential representation of information MEG data
MEGThis dataset contains MEG recordings from participants performing a risky decision-making task alongside a localizer task and a probability learning task. It was collected to investigate heuristics in risky decision-making and their relationship to preferential neural representation of choice- and outcome-related information. The dataset includes raw MEG data and derivative event and epoched data tables supporting analyses reported in an associated preprint.
- Participants
- 21
- Size
- 431 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000266
Sosulski et al. 2019 — Online Optimization of Stimulation Speed in an Auditory Brain-Computer Interface under Time Constraints
EEG…Thus a fast and automated selection procedure for experimental parameters could greatly…
- Participants
- 13
- Channels
- 31 (10-10)
- Citations
- 2
- HED
- v8.4.0
- Size
- 3.68 GB
- Version
- v1.0.4
- Updated
- Aug 18, 2026
- nm000203
P300 dataset from initial spot study
EEG…Thus a fast and automated selection procedure for experimental parameters could greatly…
- Participants
- 13
- Citations
- 2
- HED
- v8.4.0
- Size
- 2.82 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000345
CastillosBurstVEP40
EEG…BrainProducts Cap model: Acticap Electrode type: active Participants ------------ Number of subjects: 12…
- Participants
- 12
- Channels
- 32 (10-10)
- Citations
- 21
- HED
- v8.4.0
- Size
- 337 MB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- on006374
Expectation effects on repetition suppression in nociception
BEH EEGThis dataset contains electroencephalography (EEG) recordings from a study investigating how expectation modulates repetition suppression of neural responses to nociceptive (pain-related) stimuli. It provides raw EEG data organized in BIDS format, intended to support analyses of expectation effects on cortical processing of repeated nociceptive stimulation.
- Participants
- 36
- Channels
- 32 (10-10)
- Size
- 42.7 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000231
P300 dataset from Hoffmann et al 2008
EEG…Brain–computer interface, P300, Disabled subjects, Fisher's linear discriminant analysis, Bayesian…
- Participants
- 8
- Channels
- 32 (10-10)
- Citations
- 82
- HED
- v8.4.0
- Size
- 4.08 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- on003766
A resource for assessing dynamic binary choices in the adult brain using EEG and mouse-tracking
BEH EEGThis dataset combines high-density electroencephalography (128-channel HD-EEG) and mouse-tracking to examine dynamic decision-making processes in the human brain. Collected from 31 adults (ages 18-33), it includes resting-state and task-related EEG data acquired during food preference choices and semantic judgment tasks. The resource provides both raw and preprocessed EEG data with synchronized behavioral measures, enabling investigation of neural correlates underlying binary choice decisions.
- Participants
- 31
- Channels
- 129 (egi-geodesic)
- Citations
- 5
- Size
- 153 GB
- Version
- v1.0.0
- Updated
- Jul 22, 2026
- nm000163
c-VEP and Burst-VEP dataset from Castillos et al. (2023)
EEG Zarr verified…BrainProducts - **Cap model**: Acticap - **Electrode type**: active ## Participants - **Number of subjects**: 12…
- Participants
- 12
- Channels
- 32 (10-10)
- Citations
- 21
- HED
- v8.4.0
- Size
- 158 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000274
BEETL Competition 2021 Motor Imagery Dataset B — transfer learning benchmark
EEGBeetl2021-B is a preprocessed EEG dataset from the NeurIPS 2021 BEETL competition, focused on transfer learning for motor imagery decoding. It contains 32-channel EEG recordings from 2 healthy subjects performing a 4-class motor imagery task (left hand, right hand, feet, rest) sampled at 200 Hz. The dataset is designed to benchmark transfer learning and domain adaptation algorithms addressing cross-subject and cross-dataset generalization challenges in brain-computer interfaces.
- Participants
- 2
- Channels
- 32 (10-10)
- Citations
- 2
- HED
- v8.4.0
- Size
- 1.99 GB
- Version
- v1.0.5
- Updated
- Aug 20, 2026