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Active anemosensing hypothesis: how flying insects could estimate ambient wind direction through sensory integration and active movement
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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
The Royal Society
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9428576/ https://www.ncbi.nlm.nih.gov/pubmed/36043287 http://dx.doi.org/10.1098/rsif.2022.0258 |
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author | van Breugel, Floris Jewell, Renan Houle, Jaleesa |
author_facet | van Breugel, Floris Jewell, Renan Houle, Jaleesa |
author_sort | van Breugel, Floris |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-9428576 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | The Royal Society |
record_format | MEDLINE/PubMed |
spelling | pubmed-94285762022-08-31 Active anemosensing hypothesis: how flying insects could estimate ambient wind direction through sensory integration and active movement van Breugel, Floris Jewell, Renan Houle, Jaleesa J R Soc Interface Life Sciences–Mathematics interface 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. The Royal Society 2022-08-31 /pmc/articles/PMC9428576/ /pubmed/36043287 http://dx.doi.org/10.1098/rsif.2022.0258 Text en © 2022 The Authors. https://creativecommons.org/licenses/by/4.0/Published by the Royal Society under the terms of the Creative Commons Attribution License http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, provided the original author and source are credited. |
spellingShingle | Life Sciences–Mathematics interface van Breugel, Floris Jewell, Renan Houle, Jaleesa Active anemosensing hypothesis: how flying insects could estimate ambient wind direction through sensory integration and active movement |
title | Active anemosensing hypothesis: how flying insects could estimate ambient wind direction through sensory integration and active movement |
title_full | Active anemosensing hypothesis: how flying insects could estimate ambient wind direction through sensory integration and active movement |
title_fullStr | Active anemosensing hypothesis: how flying insects could estimate ambient wind direction through sensory integration and active movement |
title_full_unstemmed | Active anemosensing hypothesis: how flying insects could estimate ambient wind direction through sensory integration and active movement |
title_short | Active anemosensing hypothesis: how flying insects could estimate ambient wind direction through sensory integration and active movement |
title_sort | active anemosensing hypothesis: how flying insects could estimate ambient wind direction through sensory integration and active movement |
topic | Life Sciences–Mathematics interface |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9428576/ https://www.ncbi.nlm.nih.gov/pubmed/36043287 http://dx.doi.org/10.1098/rsif.2022.0258 |
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