Pavan Ramdya, Ecole Polytechnique Federale de Lausanne: "Reverse-engineering Drosophila behavior"

DNF seminar

Abstract: 
A shared goal of neuroscience and robotics is to understand how systems can be built to move effectively through the world. However, state-of-the-art algorithms for selecting and executing limbed behaviors in robots are still quite primitive compared with those used by animals. To inform robotic control approaches, we are investigating how the fly, Drosophila melanogaster, controls its actions and learns about objects in the environment. I will discuss how we are combining behavioral quantification, 2-photon imaging of motor circuits in behaving Drosophila, and physics-based neural network models to uncover how flies generate flexible behaviors.

Zoom Link for the virtual connection: https://unil.zoom.us/j/2636884125

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