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Drosophila local search emerges from iterative odometry of consecutive run lengths

Behbahani, Amir H. and Palmer, Emily H. and Corfas, Román A. and Dickinson, Michael H. (2021) Drosophila local search emerges from iterative odometry of consecutive run lengths. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20210120-123317159

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Abstract

The ability to keep track of one's location in space is a critical behavior for animals navigating to and from a salient location, but its computational basis remains unknown. Here, we tracked flies in a ring-shaped channel as they executed bouts of search, triggered by optogenetic activation of sugar receptors. Flies centered their back-and-forth local search excursions near fictive food locations by closely matching the length of consecutive runs. We tested a set of agent-based models that incorporate iterative odometry to store and retrieve the distance walked between consecutive events, such as reversals in walking direction. In contrast to memoryless models such as Levy flight, simulations employing reversal-to-reversal integration recapitulated flies' centered search behavior, even during epochs when the food stimulus was withheld or in experiments with multiple food sites. However, experiments in which flies reinitiated local search after circumnavigating the arena suggest that flies can also integrate azimuthal heading to perform path integration. Together, this work provides a concrete theoretical framework and experimental system to advance investigations of the neural basis of path integration.


Item Type:Report or Paper (Discussion Paper)
Related URLs:
URLURL TypeDescription
https://doi.org/10.1101/2021.01.18.427191DOIDiscussion Paper
ORCID:
AuthorORCID
Behbahani, Amir H.0000-0001-5603-6887
Dickinson, Michael H.0000-0002-8587-9936
Additional Information:The copyright holder for this preprint is the author/funder, who has granted bioRxiv a license to display the preprint in perpetuity. It is made available under a CC-BY-NC-ND 4.0 International license. This version posted January 19, 2021. We would like to thank all member our lab for helpful discussions. Will Dickson provided essential help with programming and construction of our experimental set-up. Research reported in this publication was supported by the National Institute of Neurological Disorders and Stroke of the National Institutes of Health under Award U19NS104655. Author Contributions: AB conducted all experiments, under the supervision of MD. EP developed the state-based models of behavior. AB, RAC and EP analyzed data and prepared all figures. AB, RAC, EP and MD wrote the paper. We have no competing interest to declare.
Funders:
Funding AgencyGrant Number
NIHU19NS104655
Subject Keywords:path integration, odometry, place memory, state-dependent models
Record Number:CaltechAUTHORS:20210120-123317159
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20210120-123317159
Official Citation:Drosophila local search emerges from iterative odometry of consecutive run lengths. Amir H Behbahani, Emily H Palmer, Roman A Corfas, Michael H Dickinson. bioRxiv 2021.01.18.427191; doi: https://doi.org/10.1101/2021.01.18.427191
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:107592
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:20 Jan 2021 21:50
Last Modified:20 Jan 2021 21:50

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