EEG: Probabilistic Learning with Affective Feedback: Exp #1
…out in Cognitive, Affective, & Behavioral Neuroscience. Your best bet for understanding this…
- Participants
- 25
- Channels
- 66 (10-10)
- Size
- 5.82 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "translational neuroscience" · page 3 of 10 · ranked by relevance
…out in Cognitive, Affective, & Behavioral Neuroscience. Your best bet for understanding this…
…on008082) July 1st 2026 Cuban Neuroscience Center This is a dataset containing…
Imported from OpenNeuro ds003801
…Imaging Neuroscience 2025; 3 IMAG.a.54. doi: https://doi.org/10…
A longitudinal motor imagery EEG dataset from 18 brain-computer interface (BCI)-naive subjects acquired across 6 sessions (1 offline + 5 online) to investigate transfer learning and domain adaptation for calibration-free BCI training. Subjects performed left/right hand motor imagery tasks with visual feedback using 22 EEG channels sampled at 512 Hz. The dataset compares Generic Recentering (unsupervised) and Personally Assisted Recentering (supervised) domain adaptation frameworks, with features extracted as covariance matrices and classified using Riemannian geometry-based methods.
[ designed to probe information processing maturation across development. This dataset enables investigation of neurodevelopmental trajectories in sensory and cognitive processing.
…Academy of Medical Engineering and Translational Medicine, Tianjin University - **Country**: CN - **Repository…
This dataset comprises 128-channel EEG recordings acquired during speech production tasks involving overt, minimally overt, and covert speech conditions. Participants produced one of five color words with each trial consisting of five repetitions. The dataset includes calibration and online real-time decoding sessions, along with supplementary physiological recordings (EOG, EMG, microphone) and trigger markers, designed to investigate neural contributions to EEG-based speech decoding.