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...
| Main Authors: | , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
eLife Sciences Publications Ltd
2020-06-01
|
| Series: | eLife |
| Subjects: | |
| Online Access: | https://elifesciences.org/articles/54026 |
| _version_ | 1811253126913589248 |
|---|---|
| author | Xuelong Sun Shigang Yue Michael Mangan |
| author_facet | Xuelong Sun Shigang Yue Michael Mangan |
| author_sort | Xuelong Sun |
| collection | DOAJ |
| 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. |
| first_indexed | 2024-04-12T16:45:07Z |
| format | Article |
| id | doaj.art-423c98f8ffe64025aea34fcf30aa7c16 |
| institution | Directory Open Access Journal |
| issn | 2050-084X |
| language | English |
| last_indexed | 2024-04-12T16:45:07Z |
| publishDate | 2020-06-01 |
| publisher | eLife Sciences Publications Ltd |
| record_format | Article |
| series | eLife |
| spelling | doaj.art-423c98f8ffe64025aea34fcf30aa7c162022-12-22T03:24:36ZengeLife Sciences Publications LtdeLife2050-084X2020-06-01910.7554/eLife.54026A decentralised neural model explaining optimal integration of navigational strategies in insectsXuelong Sun0https://orcid.org/0000-0001-9035-5523Shigang Yue1Michael Mangan2Computational Intelligence Lab & L-CAS, School of Computer Science, University of Lincoln, Lincoln, United KingdomComputational Intelligence Lab & L-CAS, School of Computer Science, University of Lincoln, Lincoln, United Kingdom; Machine Life and Intelligence Research Centre, Guangzhou University, Guangzhou, ChinaSheffield Robotics, Department of Computer Science, University of Sheffield, Sheffield, United KingdomInsect 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.https://elifesciences.org/articles/54026insect navigationcentral complexdesert antsoptimal integrationring attractormushroom body |
| spellingShingle | Xuelong Sun Shigang Yue Michael Mangan A decentralised neural model explaining optimal integration of navigational strategies in insects eLife insect navigation central complex desert ants optimal integration ring attractor mushroom body |
| 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 | insect navigation central complex desert ants optimal integration ring attractor mushroom body |
| url | https://elifesciences.org/articles/54026 |
| work_keys_str_mv | AT xuelongsun adecentralisedneuralmodelexplainingoptimalintegrationofnavigationalstrategiesininsects AT shigangyue adecentralisedneuralmodelexplainingoptimalintegrationofnavigationalstrategiesininsects AT michaelmangan adecentralisedneuralmodelexplainingoptimalintegrationofnavigationalstrategiesininsects AT xuelongsun decentralisedneuralmodelexplainingoptimalintegrationofnavigationalstrategiesininsects AT shigangyue decentralisedneuralmodelexplainingoptimalintegrationofnavigationalstrategiesininsects AT michaelmangan decentralisedneuralmodelexplainingoptimalintegrationofnavigationalstrategiesininsects |