on004830
Spatial Attention Decoding using fNIRS During Complex Scene Analysis
NIRS
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004830-blue…
- Participants
- 12
- Size
- 2.19 GB
- Version
- v1.0.0
- Updated
- Jun 18, 2026
Discover datasets
100 results for "cortical organization" · page 4 of 10 · ranked by relevance
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- on005811
NOD-EEG
EEGThe Natural Object Dataset (NOD) integrates electroencephalography (EEG), magnetoencephalography (MEG), and functional magnetic resonance imaging (fMRI) data collected from the same subjects viewing naturalistic object stimuli from ImageNet. This multimodal neuroimaging dataset enables investigation of neural mechanisms underlying object recognition in natural scenes by combining high spatial resolution (fMRI) with high temporal resolution (EEG/MEG) recordings, addressing limitations of single-modality approaches in characterizing both spatial representation patterns and temporal dynamics of visual cognitive processing.
- Participants
- 19
- Citations
- 5
- Size
- 24.3 GB
- Version
- v1.0.0
- Updated
- Jun 28, 2026
- on004448
The BMI-HDEEG dataset 4
EEG[ integrates magnetoencephalography (MEG), electroencephalography (EEG), and functional magnetic resonance imaging (fMRI) data collected from the same subjects viewing naturalistic stimuli from ImageNet. This trimodal neuroimaging resource provides both high spatial resolution (fMRI) and high temporal resolution (MEG/EEG) for investigating object recognition mechanisms. The dataset encompasses diverse naturalistic stimuli and a broad subject pool, facilitating exploration of neural activation patterns across stimuli and subjects. The EEG component is available as a separate dataset (ds005811).
- Participants
- 31
- Citations
- 1
- Size
- 215 GB
- Version
- v1.0.0
- Updated
- Jun 27, 2026
- on003670
Dataset of Concurrent EEG, ECG, and Behavior with Multiple Doses of transcranial Electrical Stimulation - BIDS
EEG…HD-tES) types, targeting three cortical regions (frontal, motor, parietal) with three…
- Participants
- 25
- Citations
- 2
- Size
- 97.5 GB
- Version
- v1.0.0
- Updated
- Jun 22, 2026
- on007964
Disentangling objects' contextual associations from perceptual and conceptual attributes using time-resolved neural decoding
EEGThis dataset contains 128-channel EEG recordings from 20 observers (19 included in final analysis) viewing object images at 3.33 Hz to investigate how contextual associations, perceptual attributes, and conceptual properties of objects are represented in neural activity. One participant was excluded due to a technical error in EEG recording. Time-resolved neural decoding was applied to disentangle these distinct representational dimensions from the EEG signals.
- Participants
- 20
- Citations
- 2
- Size
- 18.9 GB
- Version
- v1.0.0
- Updated
- Jun 17, 2026
- nm000254
Naturalistic viewing: An open-access dataset using simultaneous EEG-fMRI
ANAT EEG FUNC…Products BrainCapMR consisting of 61 cortical channels, two EOG channels placed below…
- Participants
- 22
- Citations
- 38
- Size
- 256 GB
- Version
- v1.0.0
- Updated
- Jun 8, 2026
- on004346
FLUX: A pipeline for MEG analysis
ANAT MEGFLUX is a comprehensive pipeline for magnetoencephalography (MEG) data analysis, providing standardized workflows for processing and analyzing MEG recordings. This dataset demonstrates the application of the FLUX pipeline to MEG neuroimaging data organized according to the Brain Imaging Data Structure (BIDS) standard, facilitating reproducible and transparent MEG analysis across research groups. The dataset is derived from OpenNeuro ds004346 and contains MEG recordings with anatomical data.
- Participants
- 1
- Size
- 15.0 GB
- Version
- v1.0.0
- Updated
- Jun 24, 2026
- on007949
Auditory Streaming and Interoception
EEG[ dataset comprises recordings from 20 adult participants viewing simple geometric shapes (hexagons, triangles, quadrilaterals) and other visual stimuli. The study investigates the neural mechanisms underlying human perception of regular geometric shapes, examining how the brain processes discrete geometric regularities such as symmetries and parallelism. The dataset supports research into the specialized brain systems engaged in abstract geometric perception and their distinction from general visual processing.
- Participants
- 21
- Citations
- 10
- Size
- 71.1 GB
- Version
- v1.0.0
- Updated
- Jun 28, 2026