amnoise
…Sensitive Period of Native Phoneme Learning. International Journal of Environmental Research and…
- Participants
- 2
- Citations
- 22
- Size
- 1.78 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
100 results for "incidental learning" · page 7 of 10 · ranked by relevance
…Sensitive Period of Native Phoneme Learning. International Journal of Environmental Research and…
This dataset contains raw EEG and behavioral data collected to investigate the common neural mechanisms underlying subjective experiences of passage of time. Participants completed behavioral tasks assessing subjective time perception while EEG was recorded. The data are organized in BIDS format to facilitate reuse and reanalysis by the neuroscience community.
…but also enabling robust transfer learning studies for other alphabetic languages. Data…
Imported from OpenNeuro ds003801
…Continuous sensorimotor rhythm based brain computer interface learning in a large population…
The EEG Moments Dataset (EMD) provides EEG responses from 6 human subjects to 1,102 naturalistic 3-second videos with audio, serving as the EEG companion to the BOLD Moments Dataset (BMD) fMRI dataset. Each subject viewed a 1,000-video training set 6 times and a 102-video testing set 24 times, with concurrent eye-tracking (gaze and pupil size) recorded during central fixation. Videos are annotated with object, scene, and action labels, textual descriptions, spoken transcriptions, and memorability scores, enabling multimodal analyses of visual and auditory naturalistic event processing.
…Supramodal processing optimizes visual perceptual learning and plasticity. Neuroimage, 93, 32-46…
Imported from OpenNeuro ds004368
…training set for commercial machine learning applications. These data may not be…
This BIDS example dataset contains intracranial EEG (iEEG) recordings from a single subject collected during clinical photic stimulation at Mayo Clinic. It demonstrates the use of the HED-SCORE (Standardized Computer-based Organized Reporting of EEG) schema library for annotating events in a machine-readable, BIDS- and HED-validated format, supporting standardized event annotation practices in EEG/iEEG research.