Hybrid EEG-fNIRS MI dataset for ICH from Shi et al 2025
- Participants
- 37
- Channels
- 32 (10-10)
- HED
- v8.4.0
- Size
- 2.59 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "EEG-to-text decoding" · page 5 of 10 · ranked by relevance
…Speech to text alignment: The onset and offset time of each character…
THINGS-EEG2 is a large-scale EEG dataset comprising recordings from 10 subjects viewing 16,540 distinct training images and 200 test images presented via rapid serial visual presentation at 5 Hz. The dataset includes 63-channel EEG data sampled at 1000 Hz across 4 sessions per subject, with approximately 32,540 training trials and 16,000 test trials, designed to support computational modeling of human visual object recognition. Stimuli are drawn from the THINGS database, and the dataset includes resting-state recordings and behavioral annotations for each trial.
This dataset comprises EEG recordings from 54 healthy participants performing a P300-based brain-computer interface speller task, designed to investigate BCI illiteracy. The study includes 62 EEG channels and 4 EMG channels sampled at 1000 Hz, with participants completing offline training and online test phases using a 36-symbol row-column speller paradigm. The dataset achieved 96.7% accuracy with an 11.1% BCI illiteracy rate, providing a comprehensive resource for evaluating P300-based BCI performance and individual differences in BCI competence.
…naive BCI users in terms of motor decoding; 4 had previous EEG…
Imported from OpenNeuro ds007175
…To obtain the text, users must register for access to BCCWJ ([https…
…outputs from the decoding analyses, including time-resolved decoding accuracy matrices for…
This dataset comprises multimodal physiological recordings from 86 participants during resting state and a digit span working memory task. It includes 64-channel EEG, electrocardiography, photoplethysmography, pupillometry, and behavioral performance data. The dataset enables investigation of neural and peripheral physiological correlates of cognitive load, working memory capacity, and cognitive overload detection across fine temporal scales.
…stimulation textures. The BIDS conversion in this NEMAR record contains EEG data…