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[:** resting state, surround suppression, naturalistic viewing, contrast-change detection, sequence learning…
A multimodal neuroimaging dataset designed to investigate the spatiotemporal dynamics of visual processing in humans. The dataset combines multiple neuroimaging modalities—electroencephalography (EEG), functional magnetic resonance imaging (fMRI), and structural MRI—to characterize neural responses during visual tasks. This comprehensive resource provides simultaneous EEG-fMRI recordings that enable investigation of the temporal and spatial organization of visual cortical processing, bridging the high temporal resolution of EEG with the high spatial resolution of fMRI.
…across sessions and of the perceptual/performance effects of different visual stimulation…
…Can we dissociate hypervigilance to social threats from altered perceptual decision-making…
A neuroimaging dataset implementing the Visual Attribute-Specific Contextual Trajectory Paradigm 2.0, designed to investigate visual perception and contextual processing. This raw BIDS-formatted dataset provides neuroimaging data collected during a visual attribute task with contextual manipulations, supporting research into how the brain processes visual information within different contextual frameworks.
This dataset comprises electroencephalography (EEG) recordings from 13 participants performing semantic imagination and perception tasks across visual and auditory modalities. Participants were presented with stimuli from three semantically dissimilar categories (guitar, flower, penguin) in pictorial, orthographic, and auditory formats. The dataset includes raw, preprocessed, and epoched EEG data acquired using a 124-channel ANT-Neuro system, providing a resource for investigating neural correlates of semantic processing and cross-modal perception.
…Following each perceptual decision, participants were asked to report their confidence about…