100 results for "spatial filtering" · page 4 of 10 · ranked by relevance
[ dataset comprising segmented 3-second single-channel clips from epilepsy patients, annotated for graphoelement classification and artifact detection. The dataset includes clinical metadata such as seizure onset zone (SOZ) flags, electrode anatomy, and reviewer annotations, making it suitable for developing and validating automated signal classification algorithms in clinical neurophysiology.
…This condition was further subdivided based on spatial arrangement: * Two repeated colors…
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.
…Signal processing included CSP for spatial filtering, log-variance features, and shrinkage…
This dataset comprises neuroimaging data from 8 participants performing functional localizer and movie-viewing tasks acquired simultaneously using Very High Density Diffuse Optical Tomography (VHD-DOT) and functional MRI. The dataset includes raw VHD-DOT data in SNIRF format from sessions 1-2 and fMRI data in NIfTI format from session 3 onwards, with preprocessed fMRI derivatives provided for direct comparison with optical neuroimaging measurements. Published in Imaging Neuroscience (2025).
…with Canonical Correlation Analysis for spatial filtering. Subset optimization (Platinum subset) selects…
…lowpass filtering, bandpass filtering, notch filtering, rectification, downsampling/upsampling, baseline correction, synchronization…
This dataset contains EEG recordings from 23 participants performing a passive viewing task involving partially occluded and uncovered visual scenes containing varying numbers of game pieces. The study investigates how the brain processes numerosity information under conditions of occlusion and disocclusion. Participants viewed scenes with 4 or 32 initially visible game pieces, followed by uncovering to reveal different numbers of additional pieces, across 640 trials.
…notch filtering, bandpass filtering, bad channel interpolation, EOG artifact correction (SGEYESUB), ICA…