This is chapter 7 of the textbook Understanding Vision: theory, models, and data Oxford University Press, 2014.
Abstract: Limitations in our current understanding of vision are highlighted. It is argued that vision, with its unprecedented abundance of experimental data—physiological, anatomical, and behavioral, and many open questions to be asked and answered, provides a fertile ground for productive research to understand the brain. A computational approach that emphasizes the importance of experimental data for inspiration and verifications of ideas is strongly advocated.
Keywords: brain, vision, data inspired computational approach