Behavioral Neuroscience

(Spring 2022)

Course description

The Behavioral Neuroscience CRE is an upper-undergraduate course that integrates theoretical training in Cognitive and Computational Neuroscience and data science (lectures) with practical experience (CRE) with original research on neuroimaging data. The CRE project of Spring 2022 focuses on investigating the relationship between regional brain volumetry and brain function in healthy subjects and brain-injured patients.

 
brooke-cagle--uHVRvDr7pg-unsplash.jpg

Student Experience

In this course, the team of students collected magnetic resonance imaging data from online repositories and produced, by the end of the semester, a single Data Descriptor for research report submission based on the collaborative efforts of all class participants.

In the CRE part of the course, students analyzed, curated and visualized MRI data from a published dataset of 48 fMRI acquisitions. This challenging goal requires instructor and students to build a team, learn about measurements, methods for analysis and technologies for managing data and software as well as to assign specific tasks and roles early in the semester so to handle a full life cycle of data science:

1. Learn the basics (theory and methods)
2. Measure data (Magnetic Resonance Imaging data)
3. Organize, Visualize and Analyze data
4. Work in a team
5. Document the work
6. Write a final report