Alljoined1
…To populate `stimuli/`: ```bash python code/download_stimuli.py # ~140 MB, fetches…
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- 7.74 GB
- Version
- v1.0.2
- Updated
- Jul 10, 2026
100 results for "natural speech stimuli" · page 8 of 10 · ranked by relevance
…To populate `stimuli/`: ```bash python code/download_stimuli.py # ~140 MB, fetches…
Imported from OpenNeuro ds005028
…Whole-Brain Millisecond-Scale Effective Connectivity Atlases of Speech
This MEG dataset contains neuroimaging data from a single infant subject collected to investigate auditory processing and language development in children at risk for dyslexia. The data were acquired during a linguistic sensitive period and are used to examine the relationship between early auditory deficits and future language outcomes, as well as theta oscillatory activity during native phoneme learning.
This dataset contains EEG recordings from an ERP priming study investigating neural associations between fingerspelling, print, and signs in deaf readers. Participants viewed prime-target pairs consisting of English words, ASL signs, or fingerspelled words followed by English word targets, allowing examination of cross-modal semantic priming effects. The study was conducted at San Diego State University's NeuroCognition Laboratory.
…Whole-Brain Millisecond-Scale Effective Connectivity Atlases of Speech
This dataset comprises EEG recordings from a P300 speller brain-computer interface study conducted by Speier et al. (2017). Ten healthy participants performed online P300 spelling tasks using a 6×6 character matrix with two stimulus conditions: famous faces and inverted faces. The dataset includes 32-channel EEG data sampled at 256 Hz, with approximately 1200 flashes per training run across two sessions per subject, enabling investigation of stimulus type effects on P300-based communication systems.
…R. (2023). *An open-access dataset of naturalistic viewing > using simultaneous EEG…
This dataset comprises magnetoencephalography (MEG) recordings from 50 healthy French-speaking adults reading the French text of *Le Petit Prince* presented via rapid serial visual presentation (RSVP). Each participant completed 9 experimental runs while MEG, electrooculogram, and electrocardiogram signals were continuously recorded at 1000 Hz. High-resolution anatomical MRI scans were acquired for each participant to enable source localization and cortical surface reconstruction.
…Culver, "Multisensory naturalistic decoding with high-density diffuse optical tomography," Neurophoton. 12…