The Time-Course of Food Representation in the Human Brain
[ and fMRI (TR=2s) data were acquired concurrently. The dataset is intended to support research into the neural correlates of inner speech using multimodal neuroimaging.
…Culver, "Multisensory naturalistic decoding with high-density diffuse optical tomography," Neurophoton. 12…
This dataset contains intracranial EEG recordings from 121 individuals who performed an auditory-naming task, with electrode coordinates provided in MNI-305 space. The data support analyses of whole-brain, millisecond-scale effective connectivity underlying speech processing, as reported by Kochi et al. (2025).
…A decoding classifier was trained on the data from the game session…
This dataset comprises auditory neurophysiological recordings investigating the relationship between auditory streaming perception and interoceptive awareness. Participants engaged in auditory tasks while electrophysiological signals were recorded, enabling examination of how the brain processes complex auditory scenes and integrates bodily state information during perceptual organization.
…immediately following the 1366 ms decoding interval and lasts for 500 ms…
…immediately following the 1366 ms decoding interval and lasts for 500 ms…
…learning via real-time neural decoding" (link pending) explores the results of…