This project investigates the long-term effects of perinatal serotonin modulation on unlearned fear and anxiety like behaviors. The project will use DeepLabCut (a method for 3D pose estimation based on transfer learning with deep neural networks) to quantify fear and anxiety-related behaviors in animals, in which serotonin has been chemogenetically manipulated early in life.

This project is eligible for a matching fund stipend from the Data Science Institute. This is not a guarantee of payment, and the total amount is subject to available funding.

Faculty Advisor

  • Professor: Mark Ansorge
  • Department/School: Psychiatry
  • Location: 1051 Riverside drive
  • My lab studies the developmental roles and adult coding properties of momoaminergic neurons

Project Timeline

  • Earliest starting date: 3/1/2021
  • End date: 8/31/2021
  • Number of hours per week of research expected during Spring 2021: ~20
  • Number of hours per week of research expected during Summer 2021: ~40

Candidate requirements

  • Skill sets: high level of motivation
  • Student eligibility: freshman, sophomore, junior, senior, master’s
  • International students on F1 or J1 visa: eligible
  • Academic Credit Possible: Yes