Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Explore the application of topological data analysis (TDA) in studying differences in the perception of painting images through this 43-minute lecture. Delve into a psychological and neurophysiological experiment that reveals variations in physiological responses, specifically eye movements, when observing abstract images created by professional artists versus those generated by neural networks. Examine how observers focus on specific features within images and how visual attention is drawn to geometric objects. Learn how methods of algebraic topology, particularly Topological Data Analysis, are employed to support these observations. Discover the significant differences in topological properties between "real" and computer-generated images, as presented by Marek Kuś from the Center for Theoretical Physics, Polish Academy of Sciences, at the Institut des Hautes Etudes Scientifiques (IHES).