on006126
TDCS Modulation of Visual Cortex in Motor Imagery
EEG
Imported from OpenNeuro ds006126
- Participants
- 6
- Channels
- 3 (other)
- Size
- 1.08 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
Discover datasets
81 results for "cortical networks" · page 3 of 9 · ranked by relevance
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- on004279
Large Spanish EEG
EEG…Identification of perceived sentences using deep neural networks in EEG. Journal of…
- Participants
- 56
- Channels
- 64 (10-10)
- Size
- 25.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005810
NOD-MEG
ANAT MEGThe Natural Object Dataset (NOD) integrates magnetoencephalography (MEG) and electroencephalography (EEG) data collected from subjects viewing naturalistic stimuli consisting of diverse object images from ImageNet. This multimodal neuroimaging resource complements previously collected fMRI data from the same subjects and stimuli, enabling investigation of neural mechanisms underlying object recognition with both high spatial and temporal resolution across three complementary imaging modalities.
- Participants
- 31
- Size
- 215 GB
- Version
- v1.0.0
- Updated
- Jul 22, 2026
- nm000172
High-gamma dataset described in Schirrmeister et al. 2017
EEG…Deep learning with convolutional neural networks for EEG decoding and visualization. Human…
- Participants
- 14
- Channels
- 128 (10-05)
- Citations
- 77
- HED
- v8.4.0
- Size
- 18.5 GB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- on003380
Corticothalamic communication under analgesia, sedation and gradual ischemia: a multimodal model of controlled gradual cerebral ischemia in pig
EEGImported from OpenNeuro ds003380
- Participants
- 12
- Size
- 1.43 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on006434
The auditory brainstem response to natural speech is not affected by selective attention
EEG…Data are split into cortical (active) electrodes and subcortical (passive) electrodes. Since…
- Participants
- 66
- Channels
- 32 (10-10)
- Size
- 103 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- on005795
MULTI-CLARID (Multimodal Category Learning and Resting-state Imaging Data)
ANAT EEG FUNCMULTI-CLARID is a multimodal neuroimaging dataset combining simultaneous fMRI and EEG recordings from participants performing an auditory category learning task and resting-state fMRI. The dataset includes 64-channel EEG (63 head channels plus ECG) with physiological monitoring (EOG, facial EMG, skin conductance), structural MRI (T1-weighted and PD-weighted UTE), and behavioral measures. This resource enables investigation of neural mechanisms underlying category learning and brain functional connectivity. Data were acquired at the Combinatorial NeuroImaging (CNI) core facility of the Leibniz Institute for Neurobiology (LIN) Magdeburg.
- Participants
- 34
- Channels
- 72 (10-10)
- Size
- 6.43 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
- nm000323
Lee et al. 2019 (ERP) — EEG dataset and OpenBMI toolbox for three BCI paradigms: an investigation into BCI illiteracy
EEG…In training: 'NEURAL NETWORKS AND DEEP LEARNING' (33 characters), in test: 'PATTERN…
- Participants
- 54
- Channels
- 62 (10-05)
- Citations
- 100
- HED
- v8.4.0
- Size
- 38.6 GB
- Version
- v1.0.1
- Updated
- Jul 10, 2026
- on004408
EEG responses to continuous naturalistic speech
EEG…Low-frequency cortical entrainment to speech reflects phoneme-level processing. Current Biology…
- Participants
- 19
- Channels
- 128 (biosemi)
- Size
- 18.7 GB
- Version
- v1.0.0
- Updated
- Jul 22, 2026
- on004457
Electrical stimulation of temporal and limbic circuitry produces distinct responses in human ventral temporal cortex
iEEGThis dataset comprises intracranial EEG recordings from five patients undergoing single-pulse electrical stimulation of temporal and limbic circuitry at Mayo Clinic. The study investigates Basis Profile Curve identification and distinct neural responses evoked in human ventral temporal cortex through direct brain stimulation, providing insights into functional connectivity and processing speed within the human connectome.
- Participants
- 5
- Size
- 11.4 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026