Fig. 5From: Review of computational neuroaesthetics: bridging the gap between neuroaesthetics and computer scienceA workflow for aesthetic preference prediction based on neuroimaging data. a The original picture. b Neuroimaging data are recorded by EEG, MEG, or fMRI when participants are viewing images. c Bio-features are extracted from neuroimaging data and machine learning algorithms are applied to give a prediction of aesthetic preferenceBack to article page