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A decentralised neural model explaining optimal integration of navigational strategies in insects

Insect navigation arises from the coordinated action of concurrent guidance systems but the neural mechanisms through which each functions, and are then coordinated, remains unknown. We propose that insects require distinct strategies to retrace familiar routes (route-following) and directly return...

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Detalles Bibliográficos
Autores principales: Sun, Xuelong, Yue, Shigang, Mangan, Michael
Formato: Online Artículo Texto
Lenguaje:English
Publicado: eLife Sciences Publications, Ltd 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7365663/
https://www.ncbi.nlm.nih.gov/pubmed/32589143
http://dx.doi.org/10.7554/eLife.54026
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author Sun, Xuelong
Yue, Shigang
Mangan, Michael
author_facet Sun, Xuelong
Yue, Shigang
Mangan, Michael
author_sort Sun, Xuelong
collection PubMed
description Insect navigation arises from the coordinated action of concurrent guidance systems but the neural mechanisms through which each functions, and are then coordinated, remains unknown. We propose that insects require distinct strategies to retrace familiar routes (route-following) and directly return from novel to familiar terrain (homing) using different aspects of frequency encoded views that are processed in different neural pathways. We also demonstrate how the Central Complex and Mushroom Bodies regions of the insect brain may work in tandem to coordinate the directional output of different guidance cues through a contextually switched ring-attractor inspired by neural recordings. The resultant unified model of insect navigation reproduces behavioural data from a series of cue conflict experiments in realistic animal environments and offers testable hypotheses of where and how insects process visual cues, utilise the different information that they provide and coordinate their outputs to achieve the adaptive behaviours observed in the wild.
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spelling pubmed-73656632020-07-17 A decentralised neural model explaining optimal integration of navigational strategies in insects Sun, Xuelong Yue, Shigang Mangan, Michael eLife Computational and Systems Biology Insect navigation arises from the coordinated action of concurrent guidance systems but the neural mechanisms through which each functions, and are then coordinated, remains unknown. We propose that insects require distinct strategies to retrace familiar routes (route-following) and directly return from novel to familiar terrain (homing) using different aspects of frequency encoded views that are processed in different neural pathways. We also demonstrate how the Central Complex and Mushroom Bodies regions of the insect brain may work in tandem to coordinate the directional output of different guidance cues through a contextually switched ring-attractor inspired by neural recordings. The resultant unified model of insect navigation reproduces behavioural data from a series of cue conflict experiments in realistic animal environments and offers testable hypotheses of where and how insects process visual cues, utilise the different information that they provide and coordinate their outputs to achieve the adaptive behaviours observed in the wild. eLife Sciences Publications, Ltd 2020-06-26 /pmc/articles/PMC7365663/ /pubmed/32589143 http://dx.doi.org/10.7554/eLife.54026 Text en © 2020, Sun et al http://creativecommons.org/licenses/by/4.0/ http://creativecommons.org/licenses/by/4.0/This article is distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use and redistribution provided that the original author and source are credited.
spellingShingle Computational and Systems Biology
Sun, Xuelong
Yue, Shigang
Mangan, Michael
A decentralised neural model explaining optimal integration of navigational strategies in insects
title A decentralised neural model explaining optimal integration of navigational strategies in insects
title_full A decentralised neural model explaining optimal integration of navigational strategies in insects
title_fullStr A decentralised neural model explaining optimal integration of navigational strategies in insects
title_full_unstemmed A decentralised neural model explaining optimal integration of navigational strategies in insects
title_short A decentralised neural model explaining optimal integration of navigational strategies in insects
title_sort decentralised neural model explaining optimal integration of navigational strategies in insects
topic Computational and Systems Biology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7365663/
https://www.ncbi.nlm.nih.gov/pubmed/32589143
http://dx.doi.org/10.7554/eLife.54026
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