Auditory Cortex Macaque Monkey DISC Data
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83 results for "neurolinguistics" · page 5 of 9 · ranked by relevance
BigP3BCI Study P is a P300-based brain-computer interface dataset comprising EEG recordings from 19 healthy subjects across 2 sessions each, using a 9x8 character grid spelling paradigm. The dataset contains 32-channel EEG data sampled at 256 Hz with standardized 10-20 montage, annotated with target and non-target visual stimulus events. This derivative dataset is part of the largest public P300 BCI dataset collection, and is optimized for machine learning applications in BCI research.
This dataset comprises simultaneous 7T fMRI and EEG recordings from 25 native Mandarin Chinese speakers engaged in a naturalistic listening task featuring the Chinese version of Le Petit Prince under varying acoustic conditions (single-talker and multi-talker scenarios). The study investigates neural mechanisms of selective attention and speech comprehension in complex auditory environments, with participants attending to different talkers while maintaining fixation during fMRI acquisition. Preprocessed anatomical and functional MRI data, along with high-density EEG recordings, are provided in BIDS format alongside behavioral comprehension assessments. This dataset is derived from OpenNeuro ds005345 (v1.0.1) and has been curated for the NEMAR repository. Note: The README references French cohort considerations; however, the primary dataset composition consists of the 25 native Mandarin Chinese speakers described above.
This 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.