Development of New Technologies and Methods for Animal Behavior Analysis and Mental Health Research

Faculty Name:
Christopher Gregg

Neurobiology & Anatomy

Faculty College:


Project Description:

This project involves using computer vision technologies to perform novel studies of complex behavior patterns in genetic mouse models of human brain disorders. The student involved will learn neuroscience, behavior analysis, programming, machine learning and statistical modeling of behavior data.

Opportunity Type:

Prepare a UROP proposal; Write an Honors Thesis; Earn independent study credit; This is a paid research position; This is a work-study research position

Student Role:

The student will perform computer vision methods to analyze complex behavior patterns in video and the application of machine learning algorithms to find behavior patterns.

Student Benefits:

Learn neuroscience, mental illness, machine learning, statistical modeling and behavior analysis. Experience cutting edge research in the neurosciences.

Project Duration:

20 hrs per week or less.

Minimum Requirements:

Familiarity with windows and mac operating systems, interest in behavioral sciences and/or data analysis