c-VEP and Burst-VEP dataset from Castillos et al. (2023)
…analyzed=[0.1, 40.0] Hz - **Spatial filters**: CNN 8x1 spatial convolution…
- Participants
- 12
- Channels
- 32 (10-10)
- Citations
- 21
- HED
- v8.4.0
- Size
- 158 MB
- Version
- v1.0.0
- Updated
- Jul 10, 2026
100 results for "covert spatial attention" · page 6 of 10 · ranked by relevance
…analyzed=[0.1, 40.0] Hz - **Spatial filters**: CNN 8x1 spatial convolution…
…Before each video started, an attention grabber (i.e., three-second video…
This EEG dataset investigates how diffuse (categorical) predictions about stimulus orientation shape neural representations during memory encoding. Participants performed an orientation working-memory task in which a central color cue indicated whether an upcoming grating's orientation was drawn from a predictable 90° range or was fully unpredictable, and later judged whether a probe was rotated clockwise or counterclockwise relative to the memorized orientation. The study examines how predictive information stabilizes and reshapes neural codes for encoded visual features.
This dataset provides complementary EEG recordings, obtained under photic stimulation with eyes open, from a cohort of individuals with Alzheimer's disease, frontotemporal dementia, and healthy controls previously described in a related open-eyes-closed EEG dataset. Recordings were collected at incremental photic stimulation frequencies (5-30 Hz) at the 2nd Department of Neurology, AHEPA University Hospital, Thessaloniki, Greece, using a 19-channel clinical EEG system. The dataset includes both raw and preprocessed (denoised) EEG data, intended to support research on neurodegenerative disease biomarkers and cognitive decline.
…analyzed=[0.1, 40.0] Hz Spatial filters: CNN 8x1 spatial convolution…
This dataset comprises electroencephalography, physiological, and behavioral data collected from 103 healthy individuals (ages 21-45) during visual illusion perception tasks and resting-state recordings. Participants performed perceptual judgments on three classic visual illusions (Ebbinghaus, Müller-Lyer, and Vertical-Horizontal) with manipulated difficulty and illusion strength, followed by an 8-minute eyes-closed resting-state period. The multimodal dataset includes 64-channel EEG, electrocardiogram, photoplethysmography, and respiration signals, enabling investigation of neural correlates of visual illusion sensitivity and resting-state brain activity.
This dataset comprises EEG recordings from 33 participants who completed counterbalanced visual and auditory surprise tasks designed to probe electrophysiological markers of surprise-induced failures of perceptual awareness. The data support an ongoing study by Leong et al. examining how unexpected stimuli disrupt conscious awareness across sensory modalities. Some participants' data are incomplete due to exclusion at various analysis stages.
[![DOI](https://img.shields.io/badge/DOI-10.82901%2Fnemar.on006768-blue…
An EEG study investigating the effects of episodic future thinking on temporal discounting behavior. Participants generated descriptions of future events and subsequently used mental imagery of these events as cues during intertemporal choice tasks, with concurrent measurement of imagery vividness. This dataset provides neurophysiological recordings during decision-making processes influenced by prospective cognition.
…Subjects focus attention on a violet box flickering at different frequencies (6…