CastillosBurstVEP40
…BrainProduct LiveAmp. Analysis on occipital/parietal electrodes. CNN-based bitwise decoding (improved…
- Participants
- 12
- Citations
- 20
- HED
- v8.4.0
- Size
- 142 MB
- Version
- v1.0.0
- Updated
- Jun 3, 2026
100 results for "brain decoding" · page 8 of 10 · ranked by relevance
…BrainProduct LiveAmp. Analysis on occipital/parietal electrodes. CNN-based bitwise decoding (improved…
This dataset contains electroencephalographic (EEG) recordings from 23 participants performing a passive viewing task involving visual scenes with occluded and uncovered game pieces. Participants viewed scenes with varying numbers of visible and hidden objects to investigate neural responses to object numerosity under occlusion conditions. The study employed a factorial design with 640 trials across eight blocks, systematically manipulating the number of initially visible pieces (4 or 32) and uncovered pieces (0-32) to examine how the brain processes object quantity in partially occluded visual scenes.
…A decoding classifier was trained on the data from the game session…
…This study contains closed-loop electrical stimulation of the brain during encoding…
…semi-chronic closed-loop direct brain stimulation and non-invasive closed-loop…
…The goal is to enable keyboard-free text input by decoding typing…
…transfer learning for motor imagery decoding. The dataset contains 32-channel EEG…
…parameter optimization ## Abstract The decoding of brain signals recorded via, e.g…
BigP3BCI Study C is a P300-based brain-computer interface dataset comprising EEG recordings from 19 healthy subjects performing a visual speller task using a 6x6 checkerboard paradigm. The dataset contains single-session recordings with 32-channel EEG data sampled at 256 Hz, annotated with target and non-target event labels. This derivative dataset is part of the larger BigP3BCI collection, the largest public P300 BCI dataset, and is formatted according to BIDS standards with HED event annotations for machine learning applications.
# handwriting: Handwriting Recognition from EMG ## Overview **Dataset**: handwriting - Imagined handwriting from wrist…