The undergraduate Computation and Neural Systems (CNS) option provides a foundation in math, physics, biology and computer science to prepare students for interdisciplinary graduate studies in neuroscience and career paths that involve computational applications inspired by properties of biological systems, such as artificial intelligence and computer vision. By graduation, students will have acquired knowledge in neurobiology, computation principles across different systems, methods used in modern neuroscience research, as well as the ability to critically evaluate and understand neuroscience literature, and be able to work in a team and communicate effectively.
CNS Coursework at a Glance
CNS 251. Human Brain Mapping: Theory and Practice. An overview of contemporary brain imaging techniques, usefulness of brain imaging compared to other techniques available to the modern neuroscientist. Review of what is known about the physical and biological bases of the signals being measured. Design and implementation of a brain imaging experiment and analysis of data (with a particular emphasis on fMRI).
We are all very excited about the opportunity to develop a program that could lead to the establishment of the Chen Institute at Caltech as an international center for training neuroscience students in data science and artificial intelligence.