EEG-Speech Brain Decoding Dataset
…nemar.on007602) # EEG-Speech Brain Decoding Dataset ## Overview This dataset contains EEG…
- Participants
- 3
- Channels
- 128 (other)
- Size
- 49.6 GB
- Version
- v1.0.0
- Updated
- Jun 30, 2026
…nemar.on007602) # EEG-Speech Brain Decoding Dataset ## Overview This dataset contains EEG…
This dataset contains high-density, dual-layer EEG recorded together with neck EMG, inertial measurement unit acceleration, and ground reaction force from older adults walking over uneven terrain at different speeds. Each participant completed two three-minute trials per walking condition plus a three-minute seated rest trial. Digitized electrode locations are provided for each subject.
…Imagine left- or right-hand movement to drive the cursor toward the…
VEPCON is a multimodal BIDS dataset with high-density EEG, structural MRI and diffusion-weighted imaging from 20 participants. Visual evoked potentials were recorded during face versus scrambled-face discrimination and coherent versus incoherent motion discrimination. Derivatives include preprocessed single-trial EEG, FreeSurfer outputs, multi-scale brain parcellations (83 to 1015 regions), structural connectomes, and EEG source-imaging inverse solutions, supporting multimodal methods development and structure-function studies.
EEG dataset investigating how the brain integrates dissimilar observed actions, using frequency tagging. The recordings are organized in BIDS format and were collected to study neural responses to observed actions presented at distinct tagged frequencies.
…Refrain from blinking and movement as much as possible. - **Stimulus presentation**: target…
A multi-modal face processing dataset combining simultaneously recorded MEG and EEG with structural MRI from 18 participants. Participants viewed famous, unfamiliar, and scrambled faces and made a symmetry judgment by button press. The data are a curated repackaging of the MEEG portion of ds000117, with reorganized event logs, Hierarchical Event Descriptor (HED) annotations, and EEGLAB-format EEG.
…This dataset aims to foster studies on neural decoding, perception, and cognitive…
A longitudinal brain-machine interface dataset from seven healthy adults who controlled a Rex Bionics lower-limb exoskeleton through motor imagery (walk/stop). Each participant completed nine sessions, each with an open-loop calibration training phase followed by twelve closed-loop control trials and extended 6-minute walk and stop imagery tasks. The dataset includes 60-channel EEG, EOG, IMU motion data from the head and exoskeleton, and exoskeleton control and feedback signals.
…Culver, "Multisensory naturalistic decoding with high-density diffuse optical tomography," Neurophoton. 12…