100 results for "sensor and source level analysis" · page 7 of 10 · ranked by relevance
…and was immediately replaced by a red sphere floating at eye level…
…and the experimental instructions and codes (executed in the open-source platform…
…The goal was to reveal whether temporal expectation influences initial sensory processing…
This dataset comprises resting-state transcranial magnetic stimulation (TMS) combined with electroencephalography (EEG) recordings from multiple subjects. The study focuses on identifying site- and stimulation-specific TMS-evoked EEG potentials using quantitative cosine similarity metrics to characterize the electrophysiological responses to TMS across different brain regions.
…Manufacturer, model, cap, ground, and version fields that the source dataset does…
This dataset contains EEG recordings collected from a three-electrode forehead patch device (CGX) designed to validate automated spectral sleep staging against manual polysomnography-based scoring. Each recording includes both a visual hypnogram (manual sleep stage scoring in 30-second epochs) and spectral staging derived from the forehead patch channels. The dataset supports research into simplified, wearable EEG-based sleep monitoring as an alternative to standard multi-channel polysomnography.
…The stimuli were designed and administered using E-Prime software (Version 2…
FRESH Audio Dataset is a functional near-infrared spectroscopy (fNIRS) dataset collected during audio processing tasks. The dataset contains raw fNIRS measurements organized according to the Brain Imaging Data Structure (BIDS) standard. This dataset supports research into auditory neuroscience and the neural correlates of sound processing. NOTE: Dataset status should be verified as complete and finalized before DOI minting.
…a given level [...], and the values from the top level are inherited…
…osf.io/wp73u The analysis codes, results, and figures can be found…