ArticleAnnual review of condensed matter physics2022
Olfactory Sensing and Navigation in Turbulent Environments.
Article in Annual review of condensed matter physics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 51 papers.
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Who cites it
51 citing papers in PubMed.
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- Volatiles from Momordica charantia L. fruits and leaves attract Zeugodacus cucurbitae (Coquillett).Pest management science · 2026Article
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- Neural dynamics for working memory and evidence integration during olfactory navigation in Drosophila.Nature communications · 2026Article
- Fly navigational responses exploit plume-specific odor motion and gradient cues.Proceedings of the National Academy of Sciences of the United States of America · 2026Article
- Visual uncertainty and task demands shape active sensing strategies in mice.Current biology : CB · 2026Article
- Visual uncertainty and task demands shape active sensing strategies in mice.bioRxiv : the preprint server for biology · 2026Article
- Article
- Perception and neural representation of intermittent odor stimuli in mice.Nature communications · 2026Article
- TURB-Smoke. A database of Lagrangian pollutants emitted from point sources in turbulent flows with a mean wind.Scientific data · 2026Article
- When noncanonical olfaction is optimal.Proceedings of the National Academy of Sciences of the United States of America · 2025Article
- Neural dynamics for working memory and evidence integration during olfactory navigation inbioRxiv : the preprint server for biology · 2025Article
- Adaptive algorithms for shaping behavior.PLoS computational biology · 2025Article
- Mice navigate scent trails using predictive policies.bioRxiv : the preprint server for biology · 2025Article
- Article
- Optimal switching strategies for navigation in stochastic settings.Journal of the Royal Society, Interface · 2025Article
- Manifold learning for olfactory habituation to strongly fluctuating backgrounds.bioRxiv : the preprint server for biology · 2025Article
- Optimal trajectories for Bayesian olfactory search in turbulent flows: The low information limit and beyond.Physical review fluids · 2025Article
- Design Principles From Natural Olfaction for Electronic Noses.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025Review
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3 authors.
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Abstract
Fluid turbulence is a double-edged sword for the navigation of macroscopic animals, such as birds, insects, and rodents. On the one hand, turbulence enables pheromone communication among mates and the possibility of locating food by their odors from long distances. Molecular diffusion would indeed be unable to spread odors over relevant distances in natural conditions. On the other hand, turbulent flows are hard to predict, and learning effective maneuvers to navigate them is challenging, as we discuss in this review. We first provide a summary of the olfactory organs that sense airborne or surface-bound odors, as well as the computational tasks that animals face when extracting information useful for navigation from an olfactory signal. A compendium of the dynamics of turbulent transport emphasizes those aspects that directly impact animals' behavior. The state of the art on navigational strategies is discussed, followed by a concluding section dedicated to future challenges in the field.
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