2018
DOI: 10.7554/elife.37815
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Elementary sensory-motor transformations underlying olfactory navigation in walking fruit-flies

Abstract: Odor attraction in walking Drosophila melanogaster is commonly used to relate neural function to behavior, but the algorithms underlying attraction are unclear. Here, we develop a high-throughput assay to measure olfactory behavior in response to well-controlled sensory stimuli. We show that odor evokes two behaviors: an upwind run during odor (ON response), and a local search at odor offset (OFF response). Wind orientation requires antennal mechanoreceptors, but search is driven solely by odor. Using dynamic … Show more

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Cited by 116 publications
(180 citation statements)
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“…This decrease is consistent with recent work in flying Drosophila that analyzed changes in a fly's behavior when odors were presented in the context of visual objects [31]. In other experiments, there is an increase in speed upon odor encounter [26,[43][44][45]. An elegant explanation for this difference is that flies slow down if they expect to encounter an odor object, and move faster if they expect the object to be far away [31].…”
Section: Discussionsupporting
confidence: 88%
See 3 more Smart Citations
“…This decrease is consistent with recent work in flying Drosophila that analyzed changes in a fly's behavior when odors were presented in the context of visual objects [31]. In other experiments, there is an increase in speed upon odor encounter [26,[43][44][45]. An elegant explanation for this difference is that flies slow down if they expect to encounter an odor object, and move faster if they expect the object to be far away [31].…”
Section: Discussionsupporting
confidence: 88%
“…This consistency is not just a matter of detail; it reflects a fundamental feature of search movements because it implies that the fly's behavior unfolds in chunks of tens of steps during which the fly uses the same speed and curvature. This chunking implies that flies would make fewer decisions per unit time than implied in continuous-time models employed by others [26]. Because the flies are making fewer decisions per unit time, there will be greater variability between different instances of tracks generated from the same underlying model, and this contributes to the observed inter-individual variability [37].…”
Section: Discussionmentioning
confidence: 99%
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“…An alternative strategy would be to make an odor intensity judgement that gates a response to positional information from non-olfactory cues, such as wind direction, visual landmarks, or self-motion. This computation would be reminiscent of the odor-gated visual and mechanosensory behaviors observed in insects (Álvarez Salvado et al 2018;van Breugel and Dickinson 2014;Kennedy and Marsh 1974). To distinguish between these possible strategies, we tested mice in sessions interleaving the air dilution ratios 90:30 and 30:10.…”
Section: Mice Can Use Gradient Cues In Turbulent Flowmentioning
confidence: 99%