MULTI-CLARID (Multimodal Category Learning and Resting-state Imaging Data)
…Collaboration is highly welcome! Details of the learning task The auditory category…
- Participants
- 34
- Channels
- 72 (10-10)
- Size
- 6.43 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "learning task" · page 5 of 10 · ranked by relevance
…Collaboration is highly welcome! Details of the learning task The auditory category…
Imported from OpenNeuro ds002578
…the file *sub-Rc11_ses-1_task-SmartickDataset_run-2_eeg.set…
This dataset comprises EEG recordings from 20 subjects performing a sustained attention task involving mental concentration on a target stimulus. Participants received automated verbal instructions guiding them through cycles of relaxation, preparation, and 15-second concentration periods, with the entire experiment conducted with eyes closed. The dataset includes 20 repetitions of the attention task per participant and is annotated using HED (Hierarchical Event Descriptors) version 8.0.0.
…task-relevant frequency bands. ## References Schirrmeister, Robin Tibor, et al. "Deep learning…
This dataset comprises neuroimaging recordings from an auditory naming task in which participants respond to questions beginning or ending with wh-interrogatives. The study investigates language processing and naming responses during structured auditory stimulation, with potential applications in understanding linguistic comprehension and production mechanisms.
…We designed a visuomotor learning task that one needed to pilot a…
…Understand muscle coordination during fine motor tasks - **Motor learning**: Track typing skill…
…Few-shot learning, transfer learning - **Sequence modeling**: Character-level prediction with attention…
This dataset contains neural recordings investigating the brain's representation of consciously perceived versus unconsciously processed visual information. The study examines how neural activity differs when identical visual stimuli are either consciously seen or remain outside conscious awareness, providing insights into the neural correlates of consciousness and visual perception.