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  3. McGovern Institute Special Seminar with Rebecca Yang
McGovern Institute Special Seminar with Rebecca Yang
McGovern Institute for Brain Research

McGovern Institute Special Seminar with Rebecca Yang

Add to CalendarAmerica/New_YorkMcGovern Institute Special Seminar with Rebecca Yang10/20/2025 12:00 pm10/20/2025 1:00 pmBuilding 46,3189
October 20, 2025
12:00 pm - 1:00 pm
Location
Building 46,3189
Contact
sarahf22@mit.edu
    Description

    Date: Monday, October 20, 2025
    Time: 12:00 pm – 1:00 pm
    Location: Seminar Room 3189

    Title: From Genes to Circuits: Spatial Learning and Decision Making In Fruit Flies

     

    Abstract:
    We study how genes and neural circuits control spatial learning and decision making in Drosophila. How animals navigate spatial learning tasks in environments lacking visual landmarks remains poorly understood. We use a high-throughput spatial learning task to investigate this question in Drosophila and found that Drosophila can simultaneously use self-generated olfactory cues and self-motion cues to learn a spatial goal under visually deprived conditions.  We use Drosophila selection of egg laying site as a model to study how natural genetic variations shape the value-based decision making. While laboratory flies reject sucrose in favor of a plain substrate for laying eggs, a wild-caught African strain accepts sucrose. We identified the genes, neurons, and circuit that underlie the strain differences in behavior, illustrating how subtle gene regulatory polymorphisms reshape neural computations to drive adaptive variation in decision-making.

     

    Bio:
    Rebecca Yang is currently Associate Professor at Duke University in the Department of Neurobiology. She obtained her PhD from Stanford University studying mechanisms governing planar cell polarity in the Drosophila compound eye. She conducted her postdoctoral training in UCSF, where she used Drosophila egg-laying site selection as a system to study simple decision-making processes. In her own lab, she investigates how genes and circuits, including natural genetic variations, control learning and decision making combining various high-throughput behavioral assays with transcriptomic, optogenetic, and in vivo imaging approaches.

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