on004502
Anticipatory differences between Attention and Expectation
EEG
[
- Size
- 59.4 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
Discover datasets
100 results for "cognitive processing" · page 10 of 10 · ranked by relevance
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- on003420
HD-EEGtask(Dataset 1)
EEG[
- Size
- 90.4 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004368
Meta-rdk: Preprocessed EEG data
EEGImported from OpenNeuro ds004368
- Participants
- 39
- Channels
- 63 (10-10)
- Size
- 969 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006036
A complementary dataset of open-eyes EEG recordings in a photo-stimulation setting from: Alzheimer's disease, Frontotemporal dementia and Healthy subjects
EEG…This study compared cognitive function in 36 individuals with Alzheimer's disease…
- Participants
- 88
- Channels
- 19 (10-20)
- Citations
- 37
- Size
- 2.11 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on006802
Collaborative rule learning promotes interbrain information alignment
EEGThis dataset contains EEG recordings from 24 pairs of participants who performed a collaborative 4-way categorisation task based on rules they agreed upon together, along with pre- and post-test sessions using the same stimuli. The study investigates whether collaborative rule learning promotes alignment of neural information between interacting brains, contributing to research on interbrain synchrony and social cognition.
- Participants
- 24
- Citations
- 3
- Size
- 62.2 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004859
iEEG on children during Stroop task
iEEG[
- Citations
- 14
- Size
- 10.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on003801
Neural Tracking to go
EEGImported from OpenNeuro ds003801
- Participants
- 20
- Channels
- 24 (10-10)
- Size
- 1.15 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on003775
SRM Resting-state EEG
EEG…sensitive cleaning pipeline. ### Demographic and cognitive test data The *participants.tsv* file…
- Participants
- 111
- Channels
- 64 (10-10)
- Citations
- 35
- Size
- 20.7 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on007427
Comprehensive methodology for sample enrichment in EEG biomarker studies for Alzheimer’s risk classification
EEGThis dataset comprises EEG recordings collected as part of a study developing a methodology for sample enrichment in EEG biomarker research for Alzheimer's disease risk classification. It aims to support the identification of electrophysiological biomarkers relevant to Alzheimer's risk stratification. The dataset was generated at Universidad de Antioquia and is intended for use in biomarker discovery and validation studies.
- Participants
- 44
- Channels
- 58 (10-10)
- Citations
- 2
- Size
- 13.6 GB
- Version
- v1.0.0
- Updated
- Aug 18, 2026