on006107
iEEG_Neural_spatial_volatility
iEEG
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006107-blue…
- Participants
- 166
- Size
- 11.9 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
Discover datasets
100 results for "cortical function model" · page 7 of 10 · ranked by relevance
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- nm000153
Langer et al. 2017 — Multimodal Resource for Studying Information Processing in the Developing Brain (MIPDB)
EEGMIPDB is a multimodal neuroimaging resource comprising high-density EEG (128-channel, 500 Hz) and eye-tracking data collected from 111 participants spanning childhood to adulthood. Participants completed a standardized battery of cognitive and perceptual tasks including resting state, surround suppression, naturalistic viewing, contrast-change detection, sequence learning, and symbol search. This dataset enables investigation of information-processing maturation across human development.
- Participants
- 111
- Size
- 110 GB
- Version
- v1.0.0
- Updated
- Aug 14, 2026
- on005169
Dataset of intracranial EEG during cortical stimulation evoking visual effects
ANAT iEEG[
- Citations
- 6
- Size
- 83.8 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
- on004514
Simultaneous EEG and fNIRS recordings for semantic decoding of imagined animals and tools
EEG NIRSThis dataset comprises simultaneous EEG and fNIRS recordings from 12 participants performing semantic imagery tasks involving silent naming and sensory-based imagination of animals and tools. Participants engaged in visual, auditory, and tactile perception tasks while neural activity was captured using a 64-channel BioSemi EEG system and a NIRx fNIRS imaging system with integrated optodes. The multimodal neuroimaging data supports research in semantic decoding and brain-computer interface applications.
- Participants
- 12
- Channels
- 64 (biosemi)
- Size
- 24.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004448
The BMI-HDEEG dataset 4
EEG[
- Citations
- 8
- Size
- 38.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on004774
Automatic Evoked Response Detection (ER-Detect) dataset
iEEG[ — Dataset combining EEG, eye-tracking, and high-speed video for ocular activity analysis across BCI paradigms
EEGA multimodal neuroimaging dataset combining EEG, eye-tracking, and high-speed video recordings from 31 healthy participants performing motor imagery tasks. The dataset comprises 2,520 trials across 63 sessions, with participants performing left and right hand motor imagery in response to visual cues. Recorded at 1000 Hz using a 64-channel EEG montage with standardized electrode placement, this dataset supports brain-computer interface research and analysis of ocular activity patterns during motor imagery paradigms.
- Participants
- 31
- Channels
- 62 (10-10)
- Citations
- 11
- HED
- v8.4.0
- Size
- 33.6 GB
- Version
- v1.0.3
- Updated
- Aug 18, 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
- Channels
- 35 (10-10)
- Citations
- 2
- Size
- 97.5 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026