on005777
Electrical_Morphine_Placebo_2018
NIRS
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005777-blue…
- Participants
- 14
- Size
- 865 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "neural fragility" · page 6 of 10 · ranked by relevance
-
- on006367
Memory Reactivation Levels Remain Unaffected by Anticipated Interference
EEGThis dataset contains neuroimaging data from a memory interference task designed to investigate how anticipated interference affects memory reactivation. Participants learned target objects and performed a recognition task with manipulated interference conditions, where irrelevant novel objects were presented on half the trials during a delay period. The study examines whether memory reactivation levels remain stable despite expectations of interfering stimuli. Data includes EEG recordings from the experimental protocol with preprocessing documentation available in associated repositories.
- Participants
- 52
- Channels
- 30 (10-10)
- Size
- 27.8 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005410
Semantic_conditioning
EEG…Contingency awareness shapes neural responses in fear conditioning. https://doi.org/10…
- Participants
- 81
- Channels
- 63 (10-10)
- Size
- 19.8 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- nm000199
Learning from label proportions for a visual matrix speller (ERP)
EEGThis dataset comprises event-related potential (ERP) recordings from 13 healthy subjects performing a visual matrix speller task using a calibrationless brain-computer interface approach. The study introduces learning from label proportions (LLP), an unsupervised classification method that exploits known target/non-target stimulus ratios to enable online BCI operation without prior calibration. Subjects performed copy-spelling tasks using a 6×7 character grid across three sessions, achieving 84.5% character accuracy without labeled training data.
- Participants
- 13
- Channels
- 31 (10-10)
- Citations
- 46
- HED
- v8.4.0
- Size
- 5.15 GB
- Version
- v1.0.2
- Updated
- Aug 18, 2026
- nm000254
Naturalistic viewing: An open-access dataset using simultaneous EEG-fMRI
ANAT EEG FUNCThis dataset comprises simultaneous EEG-fMRI recordings from 22 participants (ages 23-51) during naturalistic viewing, collected at the Nathan Kline Institute. The 64-channel EEG data (61 cortical channels, 2 EOG, 1 ECG) was acquired concurrently with fMRI, supplemented by eye-tracking and respiratory recordings. The dataset includes demographic information and behavioral assessments (sleep quality, caffeine intake) to investigate correlations between electrical brain activity and hemodynamic fluctuations during naturalistic stimulation.
- Participants
- 22
- Channels
- 61 (10-10)
- Citations
- 41
- Size
- 256 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on007591
Delineating neural contributions to EEG-based speech decoding
EEG…10.82901/nemar.on007591) # Delineating neural contributions to EEG-based speech decoding…
- Participants
- 3
- Channels
- 128 (other)
- Citations
- 1
- Size
- 1.62 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026
- on005514
Healthy Brain Network (HBN) EEG - Release 9
EEGImported from OpenNeuro ds005514
- Participants
- 295
- Channels
- 129 (egi-geodesic)
- HED
- v8.3.0
- Size
- 185 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on003682
Model-based aversive learning in humans is supported by preferential task state reactivation
BEH MEG[ EEG - Release 8
EEGImported from OpenNeuro ds005512
- Participants
- 257
- Channels
- 129 (egi-geodesic)
- HED
- v8.3.0
- Size
- 157 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026