sEEG Passive listening to natural speech
…TASK Participants passively listened to 30-45s passages of conversational speech and…
- Participants
- 10
- Size
- 13.2 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
59 results for "speech prosthesis" · page 4 of 6 · ranked by relevance
…TASK Participants passively listened to 30-45s passages of conversational speech and…
…set to the mean f0s used for the speech The code for…
Imported from OpenNeuro ds005028
This dataset comprises consolidated cEEGrid recordings from two attended speaker paradigm studies involving 36 participants (15 from Jaeger et al. 2020 and 21 from Holtze et al. 2021). Participants performed a dichotic listening task with competing audiobooks while instructed to attend to either the left or right speaker. The pooled dataset includes recordings under omnidirectional and beamforming acoustic conditions, providing a resource for investigating neural correlates of selective auditory attention using high-density EEG.
…Bilingual sEEG Speech Dataset ============================================= Overview -------- Intracranial EEG (sEEG) recordings from 2 epilepsy…
…https://github.com/maddoxlab/Music_vs_Speech_abr ## Format This dataset is…
The MNE-Sample-Data dataset comprises simultaneous MEG and EEG recordings acquired from a single subject using a Neuromag Vectorview system at the Martinos Center for Biomedical Imaging. The experiment involved visual stimulation (checkerboard patterns presented to left and right visual fields) and auditory stimulation (tones to left and right ears), with occasional face stimuli requiring motor responses. Structural MRI data from a 1.5 T Siemens scanner and Freesurfer-derived anatomical derivatives are included, providing a comprehensive reference dataset for MEG/EEG analysis and method development.
…dataset is a Chinese imagined speech dataset with five participants, identified as…
This dataset comprises behavioral event logs and intracranial electrophysiological (iEEG) recordings from a delayed free recall task, collected across multiple clinical sites in collaboration with the Computational Memory Lab at the University of Pennsylvania. Participants studied lists of visually presented words, performed arithmetic distractor tasks, and then freely recalled the words in any order. This preliminary cognitive electrophysiology study served as a predecessor to the later FR1 and CatFR1 datasets.
…a high-quality magneto-encephalography dataset for evaluating natural speech processing. Laura…