on003801
Neural Tracking to go
EEG
Imported from OpenNeuro ds003801
- Size
- 1.15 GB
- Updated
- May 23, 2026
Discover datasets
100 results for "cross-modal language processing" · page 4 of 10 · ranked by relevance
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- on004279
Large Spanish EEG
EEGA large-scale Spanish EEG dataset comprising 60 sessions from 56 healthy participants recorded using 64-channel EEG during speech perception and silent speech production tasks. Participants listened to and silently repeated 30 daily-use Spanish sentences. This dataset enables development of subject-independent deep neural network models for perceived sentence classification, with applications to speech decoding and neuroprosthetics for individuals with speech disorders.
- Size
- 25.2 GB
- Updated
- Jun 23, 2026
- on004306
EEG Semantic Imagination and Perception Dataset
EEG…and perceiving stimuli from three modalities; visual pictorial, visual orthographic (writing) or…
- Citations
- 1
- Size
- 79.1 GB
- Updated
- Jun 23, 2026
- on003483
Logical reasoning study
MEGThis dataset comprises neuroimaging data from a logical reasoning study conducted by the Cognitive and Computational Neuroscience Laboratory. The study investigates neural correlates of logical reasoning processes through multimodal brain imaging. Data were collected and organized according to BIDS standards for reproducibility and accessibility. This dataset is a NEMAR mirror of the OpenNeuro dataset ds003483.
- Size
- 68.3 GB
- Updated
- Jun 21, 2026
- on005545
Auditory naming
iEEG[. The dataset includes precise temporal annotations of word and phoneme onsets/offsets, organized according to the Brain Imaging Data Structure (BIDS) standard. This benchmark dataset enables large-scale encoding and decoding analyses of neural responses to natural speech processing, with accompanying code for validation analyses including temporal decoding of phonetic features and word frequency effects.
- Citations
- 41
- Size
- 99.3 GB
- Updated
- Jun 3, 2026
- nm000123
Kalunga2016 – SSVEP Exo dataset
EEG…False ## Signal Processing - **Classifiers**: MDRM, CCA - **Feature extraction**: Covariance/Riemannian ## Cross-Validation…
- Citations
- 74
- Size
- 77.9 MB
- Updated
- May 16, 2026
- nm000224
Imagined speech EEG dataset — short and long words (Nguyen et al. 2017)
EEGThis dataset comprises preprocessed EEG recordings from 6 healthy participants performing imagined speech discrimination tasks between short and long words ('cooperate' vs 'in'). Data were acquired at 256 Hz using 64 EEG channels with standard preprocessing including bandpass filtering (8-70 Hz), notch filtering (60 Hz), and artifact removal. The dataset contains 1,200 trials analyzed using Riemannian manifold and relevance vector machine approaches for brain-computer interface applications, achieving mean classification accuracy of 73.3±8.9%.
- Size
- 236 MB
- Updated
- Jun 23, 2026