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

• Main Authors: Xuelong Sun, Shigang Yue, Michael Mangan
• Format: Article
• Language: English
• Published: eLife Sciences Publications Ltd 2020-06-01
• Series: eLife
• Subjects: insect navigation; central complex; desert ants; optimal integration; ring attractor; mushroom body
• Online Access: https://elifesciences.org/articles/54026

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.