A Human EEG Dataset for Multisensory Perception and Mental Imagery
…This dataset aims to foster studies on neural decoding, perception, and cognitive…
- Participants
- 20
- Channels
- 30
- Size
- 9.91 GB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "neural tracking" · page 9 of 10 · ranked by relevance
…This dataset aims to foster studies on neural decoding, perception, and cognitive…
…Smit, S. & Varlet, M. (2025). Neural decoding of competitive decision-making in…
This magnetoencephalography (MEG) dataset comprises recordings from 10 participants performing a human visual motion area (hMT+) localizer task involving passive viewing of coherent and incoherent moving dot stimuli. The dataset includes concurrent anatomical MRI scans and auxiliary physiological recordings (EOG, ECG), formatted according to MEG-BIDS standards. The data were acquired to investigate visual perceptual learning and motion perception mechanisms.
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.
The PURSUE LRP/ERN Flanker dataset comprises event-related potential (ERP) recordings from a flanker task experiment conducted across three undergraduate institutions. This dataset contributes to the ERP CORE resource, providing standardized EEG data for investigating error-related negativity (ERN) and lateralized readiness potentials (LRP) during conflict monitoring and motor preparation. Data were collected from participants in 2017-2018 and are formatted according to BIDS standards.
…Three behavioural tasks and neural measurements (EEG) using these stimuli. - Spontaneous dissimilarity…
This dataset comprises synchronized multimodal neurophysiological and biomechanical recordings from 128-channel EEG, electromyography (EMG), electrooculography (EOG), and motion capture during a perturbed beam-walking task. Participants performed four 10-minute sessions of standing or walking on a narrow balance beam while exposed to sensorimotor perturbations (visual field rotations or waist pulls). The dataset includes preprocessed EEG data with identified good channels and independent component analysis results, enabling investigation of cortical mechanisms underlying balance control and responses to perturbations.
…Identification of perceived sentences using deep neural networks in EEG. Journal of…
This dataset comprises intracranial EEG (iEEG) recordings collected by the Hamilton Lab at the University of Texas at Austin, compiled as a teaching resource for the WIRED ICM course in Paris, 2024. It includes evoked responses to naturalistic auditory stimuli, such as movie trailers and TIMIT speech corpus sentences, alongside illustrative examples of seizure activity and vagus nerve stimulator (VNS) artifact. The dataset is intended to demonstrate typical and atypical intracranial recording phenomena in patients with epilepsy.
…separate out predictive neural activity from sensory evoked neural activity. The study…