HD-EEGtask(Dataset 2)
…conditions (resting state, visual naming, auditory naming and working memory tasks). All…
- Participants
- 20
- Channels
- 257 (egi-geodesic)
- Size
- 76.8 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "naming accuracy" · page 2 of 10 · ranked by relevance
…conditions (resting state, visual naming, auditory naming and working memory tasks). All…
This 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.
This event-related potential (ERP) study investigates neural mechanisms underlying the integration of fingerspelling, printed English words, and American Sign Language (ASL) signs in deaf readers. Using a priming paradigm with 300 prime-target pairs, the dataset captures electrophysiological responses to identity and translation primes across three modalities, providing insights into cross-modal language processing in the deaf population.
This 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.
…The dataset consists of naming and spelling the names of visually presented…
TMNRED is a Chinese language EEG dataset comprising recordings from 30 healthy native speakers during natural reading tasks designed to investigate semantic processing mechanisms. Participants read text stimuli (15-20 characters) presented as news headlines or short sentences, with each participant completing 8 blocks of 400 trials. The dataset includes both raw and preprocessed EEG data organized according to BIDS standards. Sensor-level EEG analyses have been performed to examine neural responses to target and non-target semantic items.
…16 (EMG0-EMG15) **Channel naming**: Unique identifiers (EMG0-EMG15) **Electrode naming**: E0…
…See the Biosemi documentation for the corresponding international 10-20 naming scheme…
This dataset comprises intracranial electrophysiological recordings and behavioral data from a paired associates learning task conducted across multiple clinical sites. Participants studied word pairs, performed distractor arithmetic tasks, and completed cued recall tests while neural activity was recorded. The dataset includes monopolar and bipolar iEEG recordings with electrode localization information and standardized voltage scaling across multiple recording systems.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005932-blue…