Implicit Learning EEG (BioSemi)
[ methods. Data were gathered from patients undergoing electrical stimulation mapping at Mayo Clinic and University Medical Center Utrecht, aiming to characterize cortico-cortical evoked potentials for clinical and research applications in epilepsy and brain connectivity studies.
…Based on EEG of Student Learning Processes Using Gen-AI This dataset…
This magnetoencephalography (MEG) dataset investigates neural object representations during dynamic visual occlusion. Participants viewed objects that were either occluded or disappeared while their neural activity and eye movements were recorded. The dataset includes raw MEG data, behavioral responses, eye-tracking recordings, and preprocessed neural signals epoched relative to stimulus onset and position changes, enabling investigation of how the brain maintains object representations under conditions of visual disruption.
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This dataset comprises neuroimaging data from a logical reasoning study conducted by the Cognitive and Computational Neuroscience Laboratory. The study investigates neural correlates of logical reasoning processes through multimodal brain imaging. Data were collected and organized according to BIDS standards for reproducibility and accessibility. This dataset is a NEMAR mirror of the OpenNeuro dataset ds003483.
…data from Mexican children with learning difficulties who strengthen reading and math…
…the Optimum-1 for MMN, the learning-oddball for P3b, and the…
This dataset investigates the neural representation of consciously seen and unseen information, likely using EEG recordings to examine visual consciousness and perception. It is designed to support research into the neural correlates of conscious versus unconscious processing of visual stimuli.
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