A synchronized multimodal neuroimaging dataset to study brain language processing
…listening to 6 hours of naturalistic stories; 2. high-resolution structural (T1…
- Participants
- 12
- Citations
- 4
- Size
- 1.36 TB
- Version
- v1.0.0
- Updated
- Jun 23, 2026
…listening to 6 hours of naturalistic stories; 2. high-resolution structural (T1…
…2) computational modeling with 11 stories with a range of natural f0s…
…110 Description ----------- The MEG-SCANS (Stories, Chirps, And Noisy Sentences) dataset provides…
…The Dataset is recorded with naturalistic paradigm In brief, it contains EEG…
[ recordings from 12 participants listening to continuous narrative speech, plus an empty-room recording, organized in BIDS format. The dataset was collected to test whether speech processing relies on local, context-independent predictive models, unified predictive models, or both in parallel. It includes stimulus annotations, gammatone features, and derivatives such as FreeSurfer outputs, predictor objects, and processing scripts.
…be able to follow the stories. For clicks the trials were not…
…Culver, "Multisensory naturalistic decoding with high-density diffuse optical tomography," Neurophoton. 12…