ArticleCurrent biology : CB2017
An Anatomically Constrained Model for Path Integration in the Bee Brain.
Article in Current biology : CB, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 169 papers.
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Who cites it
169 citing papers in PubMed.
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- Path integration from optic flow and the role of eye movements.Scientific reports · 2026Article
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- Nanoscale photonic artificial neuron with biological signal processing.Nature communications · 2026Article
- A framework for constructing insect steering circuits.PLoS computational biology · 2026Article
- Updating an allocentric goal from lateralised egocentric visual memories.Nature communications · 2026Article
- The diversity of lepidopteran spatial orientation strategies - neuronal mechanisms and emerging challenges in a changing world.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2026Review
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- Efficient planning and implementation of optimal foraging strategies under energetic constraints.PNAS nexus · 2026Article
- Encoding of movement primitives and body posture through distributed proprioception in walking and climbing insects.Biological cybernetics · 2026Article
- Neurons sensitive to sky compass signals in the brain of the Madeira cockroach Rhyparobia maderae.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2026Article
- Continuous attractor dynamics in spatial navigation: from population geometry to flexible computation.Frontiers in neuroscience · 2026Review
109 more citing papers are in PubMed but not listed here.
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10 authors.
Funding
Abstract
Path integration is a widespread navigational strategy in which directional changes and distance covered are continuously integrated on an outward journey, enabling a straight-line return to home. Bees use vision for this task-a celestial-cue-based visual compass and an optic-flow-based visual odometer-but the underlying neural integration mechanisms are unknown. Using intracellular electrophysiology, we show that polarized-light-based compass neurons and optic-flow-based speed-encoding neurons converge in the central complex of the bee brain, and through block-face electron microscopy, we identify potential integrator cells. Based on plausible output targets for these cells, we propose a complete circuit for path integration and steering in the central complex, with anatomically identified neurons suggested for each processing step. The resulting model circuit is thus fully constrained biologically and provides a functional interpretation for many previously unexplained architectural features of the central complex. Moreover, we show that the receptive fields of the newly discovered speed neurons can support path integration for the holonomic motion (i.e., a ground velocity that is not precisely aligned with body orientation) typical of bee flight, a feature not captured in any previously proposed model of path integration. In a broader context, the model circuit presented provides a general mechanism for producing steering signals by comparing current and desired headings-suggesting a more basic function for central complex connectivity, from which path integration may have evolved.
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