Research Projects by Subject
Note: Each research project will involve background reading for the interns provided by their mentors. Each research project will involve a final presentation by the interns.
Interns are expected to work collaboratively on the same project and/or data set. This may preclude rising seniors from submitting papers based on such projects to the Regeneron Science Talent Search competition.
Computer Science/Computer Engineering
|Code||Research Project Descriptions|
Computer Vision to Track Mouse Behaviors
Primary mentor: Brian Mullen
Faculty advisor: Prof. James Ackman
Location: UCSC Main Campus
Number of interns: 2
Project description: Development of functional brain regions has been shown to be associated with spontaneous and sensory signals throughout the nervous system. The mentor's research group is attempting to map brain regions throughout development. One facet of mapping involves understanding how an animal is behaving. This project will use computer vision (openCV) packages available to Python to track and identify mouse movements. Ultimately, the SIP interns and the mentor will use their results to correlate with brain activity at various stages of development. This will give insight into how experience influences brain function.
Tasks: The SIP interns will learn how to use Python to write scripts accessing openCV packages in order to identify when motion is occurring and record characteristics from all motion. In addition, the SIP interns will help build graphic user interfaces (GUIs) to better interact with the data. Finally, if time permits, the SIP interns will use machine learning to classify each behavior based on the characteristics of the motion. Previous experience with programming is preferred, but not required. URL: https://ackmanlab.com/research.html Required skills for interns prior to acceptance: None
Skills intern(s) will acquire/hone: Computer programming; statistical data analysis