8-Channel SSVEP EEG Dataset with Artifact Trials
Imported from OpenNeuro ds004745
- Participants
- 6
- Channels
- 8 (other)
- Citations
- 26
- Size
- 242 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "neural sequenceness" · page 9 of 10 · ranked by relevance
Imported from OpenNeuro ds004745
This dataset comprises EEG recordings from 6 healthy participants performing imagined speech tasks with two conditions (cooperate and independent word imagery). The study employed a motor imagery paradigm with auditory and visual cues, yielding 1,200 trials that were preprocessed into 3,600 overlapping epochs (1,800 per class) recorded at 256 Hz from 64 channels. Data were analyzed using Riemannian manifold methods and relevance vector machines for brain-computer interface applications, achieving mean classification accuracy of 66.2±4.8%.
…These tasks, which are publicly available, were optimized to capture neural activity…
…Journal of Neural Engineering. https://doi.org/10.1088/1741-2552/acae0a…
An electroencephalography (EEG) dataset acquired using BioSemi equipment to investigate implicit learning processes. This raw neuroimaging dataset contains EEG recordings organized according to the Brain Imaging Data Structure (BIDS) standard, facilitating standardized analysis and sharing of electrophysiological data.
…Study neural signals, including event-related potentials and oscillations, alongside peripheral physiology…
This dataset comprises intracranial EEG (iEEG) recordings from 12 epilepsy surgery patients enrolled in the RESPect (Registry for Epilepsy Surgery Patients) study at the University Medical Center of Utrecht. The collection includes both intraoperative electrocorticography (ECoG) recordings from six patients and long-term iEEG monitoring data from six patients (three ECoG, three stereo-encephalography). All data are organized according to the Brain Imaging Data Structure (BIDS) specification to facilitate standardized access and analysis of clinical neurophysiology data.
This dataset contains intracranial electrophysiology recordings and behavioral data from a delayed free recall task with real-time closed-loop brain stimulation during encoding. Participants studied word lists, performed distractor arithmetic tasks, and freely recalled words while an L2 logistic regression classifier trained on encoding neural features guided stimulation delivery to optimize memory performance. Data were collected across multiple clinical sites as part of a collaborative memory research initiative.
…a dedicated interest in the neural dynamics of working memory, but also…
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on004017-blue…