Vision science is the study of vision, from human to non-human organisms, using scientific methods. It is a scientific discipline in and of itself while also overlapping with a wide range of other disciplines, ranging from ophthalmology and optometry, neuroscience, psychology, physics, computer vision, artificial intelligence, and computer graphics.
The interdisciplinary nature of vision science allows vision scientists to develop a deep understanding of vision through the lens of many different fields, borrowing ideas from a myriad of seemingly unrelated fields to address fundamental questions about visual perception, while driving scientific and technological innovations along the way.
Given the vastness of the topics that vision science encompasess, this course will by no means cover every single aspect of it. However, this course will illustrate the beauty of interdisciplinarity research, demonstrating, for instance, how one of the most popular and widely used artificial neural networks in computer vision comes from the study of the early visual cortex of the cat. Indeed, it is through the seamless integration of behavioural science, biological science, neuroscience, and computer science that we can get to where we are now in terms of technological advancement.