ArticleeLife2020
A decentralised neural model explaining optimal integration of navigational strategies in insects.
Article in eLife, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 43 papers.
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Who cites it
43 citing papers in PubMed.
- Article
- Article
- Continuous attractor dynamics in spatial navigation: from population geometry to flexible computation.Frontiers in neuroscience · 2026Review
- Convergence-divergence circuits for multimodal integration of innate and learned opponent valences.Frontiers in systems neuroscience · 2026Article
- Wavelet-based visual compass.PloS one · 2026Article
- A Vector-Based Computational Model of Multimodal Insect Learning Walks.Biomimetics (Basel, Switzerland) · 2025Article
- Route-centric ant-inspired memories enable panoramic route-following in a car-like robot.Nature communications · 2025Article
- Ant visual route navigation: How the fine details of behaviour promote successful route performance and convergence.PLoS computational biology · 2025Article
- Building an Egocentric-to-Allocentric Travelling Direction Transformation Model for Enhanced Navigation in Intelligent Agents.Sensors (Basel, Switzerland) · 2025Article
- Lateralised memory networks may explain the use of higher-order visual features in navigating insects.PLoS computational biology · 2025Article
- I2Bot: an open-source tool for multi-modal and embodied simulation of insect navigation.Journal of the Royal Society, Interface · 2025Article
- Synaptic ring attractor: A unified framework for attractor dynamics and multiple cues integration.Heliyon · 2024Article
- Endotaxis: A neuromorphic algorithm for mapping, goal-learning, navigation, and patrolling.eLife · 2024Article
- Article
- Finding the gap: neuromorphic motion-vision in dense environments.Nature communications · 2024Article
- Investigating visual navigation using spiking neural network models of the insect mushroom bodies.Frontiers in physiology · 2024Article
- Reinforcement learning as a robotics-inspired framework for insect navigation: from spatial representations to neural implementation.Frontiers in computational neuroscience · 2024Article
- Emergent spatial goals in an integrative model of the insect central complex.PLoS computational biology · 2023Article
- Neural representation of goal direction in the monarch butterfly brain.Nature communications · 2023Article
- The potential underlying mechanisms during learning flights.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2023Review
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
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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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.