on004483
ABSeqMEG
MEG
…with spoken or written language processing. We propose that these areas collectively…
- Citations
- 1
- Size
- 23.4 GB
- Updated
- Jun 24, 2026
Discover datasets
100 results for "phonological processing" · page 3 of 10 · ranked by relevance
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- on004229
amnoise
MEG[
EEGThis dataset comprises preprocessed EEG recordings from 8 healthy subjects performing imagined speech tasks involving three vowel phonemes (a, i, u). Participants received auditory and visual cues to imagine speaking each vowel, with 64-channel EEG data acquired at 256 Hz. The dataset includes 2,400 base trials (8 subjects × 300 trials per subject) with 3 overlapping 2-second epochs extracted per trial, yielding 7,200 total epochs, analyzed using Riemannian manifold-based feature extraction and relevance vector machine classification for brain-computer interface applications. This is a MOABB (Mother of All BCI Benchmarks) benchmark collection dataset converted to BIDS format.
- Size
- 505 MB
- Updated
- Jun 23, 2026
- on002814
A Multimodal Neuroimaging Dataset to Study Spatiotemporal Dynamics of Visual Processing in Humans
ANAT EEG FUNC[
EEG…a multimodal resource for studying information processing in the developing brain (EEG…
- Size
- 110 GB
- Updated
- Jun 17, 2026
- on004276
Auditory single word recognition in MEG
BEH MEGThis dataset comprises magnetoencephalography (MEG) recordings of auditory single word recognition in human subjects. Participants listened to isolated words while neural activity was recorded, providing insights into the temporal dynamics of auditory word comprehension. The dataset is described in Gaston et al. (2022) 'Auditory word comprehension is less incremental in isolated words' published in Neurobiology of Language. The dataset includes raw MEG data, stimulus information, and associated metadata organized according to the Brain Imaging Data Structure (BIDS) standard. This is a NEMAR-converted version of OpenNeuro dataset ds004276.
- Citations
- 1
- Size
- 11.6 GB
- Updated
- Jun 23, 2026
- on004865
pyFR: Delayed Free Recall of Word Lists, Preliminary Cognitive Electrophysiology Study
BEH iEEGThis dataset comprises behavioral and intracranial electrophysiological recordings from a delayed free recall task conducted across multiple clinical sites. Participants studied visually presented word lists, performed arithmetic distractor tasks, and subsequently engaged in free recall. The study represents a preliminary cognitive electrophysiology investigation by the Computational Memory Lab at the University of Pennsylvania, serving as a foundational dataset for subsequent free recall and categorical free recall studies.
- Size
- 97.8 GB
- Updated
- Jun 25, 2026
- on004019
Effect of obesity on arithmetic processing in preteens with high and low math skills. An event-related potentials study
EEG…Effect of obesity on arithmetic processing in preteens with high and low…
- Citations
- 1
- Size
- 17.3 GB
- Updated
- Jun 23, 2026
- on004809
Categorized Free Recall: Delayed Free Recall of Word Lists Organized by Semantic Categories
BEH iEEGThis dataset comprises behavioral events and intracranial electrophysiological recordings from a categorized free recall task conducted across multiple clinical sites. Participants studied semantically organized word lists (12 items from 3 categories with paired exemplars), performed a distractor task, and freely recalled the words. The dataset includes monopolar and bipolar iEEG recordings with electrode localization information, supporting investigations of memory encoding and retrieval processes.
- Citations
- 1
- Size
- 477 GB
- Updated
- Jun 25, 2026