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• W4293722883 abstract "Estimating the direction of ambient fluid flow is a crucial step during chemical plume tracking for flying and swimming animals. How animals accomplish this remains an open area of investigation. Recent calcium imaging with tethered flying Drosophila has shown that flies encode the angular direction of multiple sensory modalities in their central complex: orientation, apparent wind (or airspeed) direction and direction of motion. Here, we describe a general framework for how these three sensory modalities can be integrated over time to provide a continuous estimate of ambient wind direction. After validating our framework using a flying drone, we use simulations to show that ambient wind direction can be most accurately estimated with trajectories characterized by frequent, large magnitude turns. Furthermore, sensory measurements and estimates of their derivatives must be integrated over a period of time that incorporates at least one of these turns. Finally, we discuss approaches that insects might use to simplify the required computations, and present a list of testable predictions. Together, our results suggest that ambient flow estimation may be an important driver underlying the zigzagging manoeuvres characteristic of plume tracking animals' trajectories." @default.
• W4293722883 created "2022-08-31" @default.
• W4293722883 creator A5025801221 @default.
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• W4293722883 date "2022-08-01" @default.
• W4293722883 modified "2023-10-03" @default.
• W4293722883 title "Active anemosensing hypothesis: how flying insects could estimate ambient wind direction through sensory integration and active movement" @default.
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• W4293722883 doi "https://doi.org/10.1098/rsif.2022.0258" @default.
• W4293722883 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/36043287" @default.
• W4293722883 hasPublicationYear "2022" @default.
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