Physics and neuroscience, while distinct in their methods, histories, and academic cultures, are increasingly intersecting. Thanks to advancements in experimental and computational techniques, we can now access precise and detailed quantitative data on the brain’s structure and development. The goal is to leverage these data, along with methods and insights from Physics, to uncover some fundamental principles of theoretical neuroscience.

Instead of providing a detailed description of the brain, the focus is on developing models that explain its morphology and development based on simple fundamental principles. These models aim to produce testable quantitative predictions and explain biological structures in all their diversity, not just specific cases. The goal is to uncover hidden regularities behind a vast array of shapes and sizes and start answering questions such as, what are the universal rules that govern the shape of the brain? How can relatively simple processes of neuron proliferation and migration reliably form the mammalian cerebral cortex?