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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...
Autores principales: | , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
eLife Sciences Publications, Ltd
2020
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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. |
format | Online Article Text |
id | pubmed-7365663 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | eLife Sciences Publications, Ltd |
record_format | MEDLINE/PubMed |
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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