on004830
Spatial Attention Decoding using fNIRS During Complex Scene Analysis
NIRS
…www.frontiersin.org/journals/human-neuroscience/articles/10.3389/fnhum.2024.1329086…
- Participants
- 12
- Size
- 2.19 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
100 results for "cognitive neuroscience" · page 3 of 10 · ranked by relevance
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- nm000256
The Brain, Body, and Behaviour Dataset (1.0.0) - Experiment 3
BEH EEG[
- Size
- 7.44 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006801
Resting-state EEG before and after different study methods
EEG…The RECAP-EEG dataset may contribute to research in cognitive neuroscience and…
- Participants
- 21
- Channels
- 31
- Citations
- 1
- Size
- 1.32 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
- on003710
APPLESEED Example Dataset
EEG…Developmental Cognitive Neuroscience, 101163. APPLESEED code is available to download from https…
- Participants
- 13
- Channels
- 32 (10-10)
- Citations
- 14
- Size
- 10.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on002814
A Multimodal Neuroimaging Dataset to Study Spatiotemporal Dynamics of Visual Processing in Humans
ANAT EEG FUNCA multimodal neuroimaging dataset designed to investigate the spatiotemporal dynamics of visual processing in humans. The dataset combines multiple neuroimaging modalities—electroencephalography (EEG), functional magnetic resonance imaging (fMRI), and structural MRI—to characterize neural responses during visual tasks. This comprehensive resource provides simultaneous EEG-fMRI recordings that enable investigation of the temporal and spatial organization of visual cortical processing, bridging the high temporal resolution of EEG with the high spatial resolution of fMRI.
- Participants
- 21
- Size
- 48.6 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006768
Multiple Object Monitoring (EEG)
EEG[
- Size
- 16.1 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005356
MEG: Major Depression & Probabilistic Learning Task
MEG…Cognitive Neuroscience and Neuroimaging An MEG study (306-sensor Elekta Neuromag System…
- Participants
- 85
- Citations
- 2
- Size
- 162 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