EEG dataset for speech decoding
[
- Citations
- 6
- Size
- 83.8 GB
- Version
- v1.0.0
- Updated
- Aug 19, 2026
93 results for "somatosensory cortex" · page 8 of 10 · ranked by relevance
[. The dataset provides both raw and preprocessed EEG data (64 channels at 5 kHz), structural and functional MRI data (3T Siemens, 2×2×4 mm³ resolution), and computed neurofeedback scores, enabling multi-modal neuroimaging data integration studies.
…channels positioned around the motor cortex (standard 1005 montage). Online bandpass filtering…
This dataset contains intracranial EEG (iEEG) recordings from human patients, rodents, pigs, and non-human primates acquired using novel flexible, scalable, high-resolution micro-stereo-electrodes. The study evaluates the performance of these custom-fabricated depth electrodes for neural recording and includes direct electrical stimulation experiments to assess stimulation effects on brain activity. Raw and preprocessed epoched data are provided in iEEG-BIDS format with accompanying channel maps and derivatives.
…left hemisphere from the premotor cortex to the superior parietal lobule. The…
The YOTO (You Only Think Once) dataset is a human electroencephalography resource comprising high-resolution EEG recordings from 20 participants performing multisensory perception and mental imagery tasks. Signals were acquired at 1000 Hz sampling rate during exposure to unimodal (visual and auditory) and multimodal stimuli, with participants providing subjective vividness ratings. Technical validation through event-related potentials and power spectral density analyses confirmed distinct neural responses across stimulus conditions, supporting applications in neural decoding, perception, and cognitive modeling.
…Parallel and distributed encoding of speech across human auditory cortex. Cell, 184…
This dataset contains MEG phantom recordings designed to characterize deep brain stimulation (DBS) device-specific artefacts in magnetoencephalography. Using a Neuromag phantom setup, movement onset was captured with an accelerometer to assess artefact behavior associated with DBS hardware. The data support a study investigating how DBS devices affect MEG signal quality and interpretation.