Face processing EEG dataset for EEGLAB
Imported from OpenNeuro ds002718
- Participants
- 18
- Channels
- 70 (other)
- Citations
- 81
- Size
- 4.30 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "continuous feedback processing" · page 5 of 10 · ranked by relevance
Imported from OpenNeuro ds002718
…7 seconds of continuous mental imagery per trial. - **Feedback type**: none - **Stimulus…
…Low-frequency cortical entrainment to speech reflects phoneme-level processing. Current Biology…
…paper "The offline data processing used the continuous EEG that was recorded…
…exoskeleton), and exoskeleton control and feedback signals. Each participant completed nine sessions…
This dataset comprises simultaneous EEG and fMRI recordings from 10 subjects performing motor imagery and neurofeedback tasks. Participants completed six runs including motor localization, pre- and post-neurofeedback motor imagery, and three neurofeedback conditions (bimodal EEG-fMRI, unimodal EEG, and unimodal fMRI). 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.
…of visual and/or auditory processing of naturalistic dynamic events. Each subject…
…Each *ieeg.edf file contains continuous iEEG data during the visuomotor task…
This dataset comprises raw multimodal recordings from 30 healthy right-handed adults performing a hierarchy of cognitive, motor, and combined cognitive-motor tasks across three sessions. Data include EEG, fNIRS, ECG, EMG, torque/kinematic, behavioral (push-button), and subjective (sleepiness, cognitive load) measures, organized according to the BIDS standard. The dataset supports research into neurophysiological correlates of cognitive-motor interactions and dual-task performance.
This dataset comprises intracranial EEG (ECoG) recordings from 14 epilepsy patients implanted with subdural grid and depth electrodes, collected while they viewed grayscale and color visual stimuli varying in spatial and temporal properties. The recordings were designed to characterize temporal and spatial dynamics of neural responses in human visual cortex, including population receptive field mapping and category-selective responses. Pre-implantation T1-weighted MRI scans are also included for electrode localization. The dataset supports multiple published studies on visual cortical dynamics and adaptation.