Epilepsy-iEEG-Multicenter-Dataset
…During a seizure event, specifically event markers may follow this time course…
- Participants
- 35
- Citations
- 1
- Size
- 10.3 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "time-course decoding" · page 5 of 10 · ranked by relevance
…During a seizure event, specifically event markers may follow this time course…
…This task was time-pressured, and trials timed out after 1 second…
…Median 1.51s (sEMG decoder) - **Dial-in time**: Time to re-acquire…
…Each letter written 60 times across 15 runs. - **Feedback type**: Training included…
…This task was time-pressured, and trials timed out after 1 second…
…EEG, real-time decoding of difficulty, closed-loop adaptation, (simulated) flying, workload…
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.
…EEG2Code bitwise decoding Cross-Validation ---------------- Evaluation type: offline Performance (Original Study) ---------------------------- Accuracy…
HAD-MEEG is a magnetoencephalography (MEG) 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.
…Observers were either paid or received course credit for participating. All observers…