Brain Networks

An essential aspect of the brain is its complex pattern of connectivity between neurons across different areas. This course will provide a comprehensive overview of the networks of the brain, analyzed from a range of standpoints from the microscopic to the macroscopic, with a particular focus on the organization of the human brain. Specific topics include brain anatomy, connectomics, structural and functional neuroimaging, graph theory and network science, dynamic models, and causal inference. The course will comprise a combination of lectures, paper discussions, and hands-on analysis exercises. The first session each week will be composed of lecture and background, and the second session will be focused on discussion and hands-on analyses, with students assigned to lead the discussion sessions. Prerequisites: Basic knowledge of neuroscience (equivalent to Psych 50A). A moderate level of programming experience will be required for hands-on exercises and problem sets. Primary exercises will be in Python.