For graduate students holding a teaching assistantship.

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.

Independent research conducted under the guidance of a faculty member.

Explore advanced models of human brain and behavior, review the field's progress, and assess current approaches' strengths and limitations. Engage in hands-on group projects developing computational models.

The first of a two course sequence in which selected students conduct original work under the direction of a faculty member. The student will produce a proposal for research that will be undertaken during the second course (PSYC 4601).

First year graduate students will initiate a research project.

Explore advanced models of human brain and behavior, review the field's progress, and assess current approaches' strengths and limitations. Engage in hands-on group projects developing computational models.

Independent research conducted under the guidance of a faculty member.

The first of a two course sequence in which selected students conduct original work under the direction of a faculty member. The student will produce a proposal for research that will be undertaken during the second course (PSYC 4601).