Focused on multidisciplinary perspectives in neuroscience, this course requires that students utilize and apply the skills and knowledge developed over the course of their major.

Students will learn fundamental techniques and methods in neuroscience from activities, experiments, and problem-based study of the neural substrates of animal behavior. For Neuroscience Majors.

Students will learn fundamental principles and methods in neuroscience through problem-based study of the neural substrates of animal behavior. For Non-Neuroscience Majors.

In this class you will learn how to build, simulate, and fit computational models to behavioral data. We will focus on three classes of closely related models on economic decision making, perceptual decision making, and reinforcement learning. This is very much a hands-on class and much of your time will be spent coding the models up for yourself in Python or Matlab. In addition, you’ll have the opportunity to build your own models and experiments in two mini-projects that take the place of the midterm and final.