NIH R01 · 2024
Integrating visual counterevidence to detect self-motion in a small visual circuit
Animals perceive optic flow and use it to guide a range of navigational behaviors, such as stabilizing body trajectories and eye movements. In this project, we propose to dissect how different visual cues are combined to guide stabilizing behaviors, and how these cues serve as evidence for and against an animal’s self-motion. We will investigate these computations in the fruit fly Drosophila, which allows us to use powerful genetic tools to define the roles of individual neurons in neural computations. With these tools, our research will (a) characterize the algorithms that combine types of visual evidence, (b) identify the circuits that encode and combine these cues, and (c) determine how…
From the public funding record at NIH RePORTER. Describes the funded project, not the reviews below.