The CCBBI encourages students, postdocs, and research scientists interested in neuroimaging to take the following courses:

PSYCH 7987 | Seminar in Machine Learning Approaches to Social Cognitive Neuroscience

  • Next Offered: Spring 2019
  • Course Number: 22395
  • Class Time: 2:30 - 4:30 pm, Wednesday
  • Class Location: Lazenby Hall, Room 120

Description: Over the last several years there has been an increasing trend towards the adoption of tools and methods from the field of computer science and statistical learning to increase our understanding of how the brain encodes and processes knowledge of our selves and of others. This seminar will cover recent findings in this area as well as serve as an introduction to the scientific computing tools and methods that are becoming increasingly critical for understanding how the brain represents social information. The format of the course will be split between discussion of the current literature (theory, findings and methods) and hands-on practical exercises in the application of machine-learning and data-driven approaches. The practical portion of the course consists of analyzing freely available open datasets in social-cognitive neuroscience using open-source Python based tools for scientific computing (e.g., Jupyter, SciPy, Scikit-learn) and the analysis of neuroimaging data (PyMVPA and NiLearn).

Students are not expected to have a background in functional neuroimaging or familiarity with computer programming in Python. The exercises and assignments will be pitched at a beginner level, though there will be options for advanced programmers to tackle more complex projects.

Prereqs: Graduate standing or permission of the Instructor.

Instructor: Professor Dylan Wagner, Ph.D.

Dr. Dylan WagnerEmail:
Office: Lazenby 140h


SHS 8950 | Neuroimaging of Speech, Language, and Music

  • Next Offered: Spring 2019
  • Course Number: 20513
  • Class Time: 3:00 - 5:00 pm, Thursday
  • Class Location: Pressey Hall, Room 001

Description: The goals of this course are: students will learn ethics/rules of data management, principles logics underlying various neuroimaging methods, how to design neuroimaging experiments, and how to analyze neuroimaging data.

Prereqs: Permission of instructor. Honor undergraduate students are eligible to take the course. No prior experience of programming and/or neuroimaging is required. 

Instructor: Professor Yune S. Lee, Ph.D.

CCBBI Member and Faculty, Dr. Yune Lee. Email:
Office: Pressey Hall 104D
Office Hours: Monday, 3-4 pm