Components of visual image and category information in human MEG
Jan Kevin Schlüsener, Malav Shah, Florian Sandhaeger, Constantin von Nicolai, Markus Siegel · FENS Forum 2024
Neural population signals recorded with magneto- (MEG) or electroencephalography (EEG) contain information about viewed natural images and their categories. However, it remains unclear which specific visual features contribute to this information. To address this, we applied spectral manipulations and different texturization algorithms to natural images of various categories and recorded MEG in human subjects presented with these stimuli. The employed stimulus space allowed us to attribute components of visual information to specific low-, mid- and high-level visual features. Furthermore, this
ePoster · Neuroscience