High-gamma dataset described in Schirrmeister et al. 2017
…networks for EEG decoding and visualization. Human Brain Mapping, 38(11), 5391…
- Participants
- 14
- Channels
- 128 (10-05)
- Citations
- 76
- HED
- v8.4.0
- Size
- 31.3 GB
- Version
- v1.0.3
- Updated
- Aug 18, 2026
100 results for "brain decoding" · page 6 of 10 · ranked by relevance
…networks for EEG decoding and visualization. Human Brain Mapping, 38(11), 5391…
This dataset comprises intracranial electrocorticography (ECoG) recordings from 9 epilepsy patients implanted with grid, depth, and strip electrodes (1,330 electrodes total), collected while participants listened to a 30-minute naturalistic story containing over 5,000 words. It provides raw and minimally preprocessed (high-gamma band) neural data along with aligned auditory stimuli, word-level transcripts, and linguistic features spanning low-level acoustics to large language model embeddings. The dataset is intended to support research on natural language comprehension using high-fidelity invasive recordings and includes tutorials replicating prior findings.
…Brain State Decoding Lab - **Address**: Brain State Decoding Lab, University of Freiburg…
…decoding of difficulty, closed-loop adaptation, (simulated) flying, workload, challenge point, brain…
…In the current study, we investigated the relationship between how the brain…
[ and electroencephalography (EEG) dataset recorded from 30 participants viewing 21,600 video clips spanning 180 categories of human action, extending the previously released Human Action Dataset (HAD) fMRI resource. It was collected in the same participants and with the same stimuli as HAD-fMRI to enable combined spatiotemporal investigation of neural mechanisms underlying human action recognition. The dataset leverages the millisecond-level temporal resolution of M/EEG to complement the spatial precision of fMRI.
…High-density scalp electroencephalogram dataset during sensorimotor rhythm-based brain-computer interfacing…
This dataset investigates the neural representation of consciously seen and unseen information, likely using EEG recordings to examine visual consciousness and perception. It is designed to support research into the neural correlates of conscious versus unconscious processing of visual stimuli.