Multi-joint upper-limb MI dataset from Yi et al. 2025
…2025 Multi-joint upper-limb MI dataset from Yi et al. 2025…
- Participants
- 18
- Channels
- 62 (10-10)
- HED
- v8.4.0
- Size
- 20.3 GB
- Version
- vv1.0.0
- Updated
- Jul 10, 2026
100 results for "joint attention training" · page 1 of 10 · ranked by relevance
…2025 Multi-joint upper-limb MI dataset from Yi et al. 2025…
…sub-##_task-jointaction_eeg.eeg sub-##_task-jointaction_eeg.vhdr sub-##_task…
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on005089-blue…
…This was followed by the sustained attention phase—1 to 5 s…
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006040-blue…
…Compared to no intervention, both forward and backward span trainings led to…
This dataset comprises EEG recordings from 24 dyads of participants engaged in collaborative rule learning and categorization tasks. Participants first negotiated rules for a 4-way categorization task, then performed the task while EEG was recorded, with pre- and post-test assessments on identical stimuli. The study investigates information alignment between interacting brains during collaborative learning.
…P300 BCI joint-attention training in virtual environment; 8 flashing objects; 15…
…This dataset was recorded from 21 healthy adult participants viia a joint…
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.