Evidence map›Paper›PMID 26866692›Full record

ArticlePLoS computational biology2016

Using an Insect Mushroom Body Circuit to Encode Route Memory in Complex Natural Environments.

Paul Ardin, Fei Peng, Michael Mangan, Konstantinos Lagogiannis, Barbara Webb

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed
9.9field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

64 citing papers in PubMed, 206 citations in OpenAlex.

  1. Cerebellar microcircuits enable robust evidence-based decisions through cortico-cerebellar coupling.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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  4. 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 · 2026
    Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
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  11. Article
  12. Article
  13. Path integration and optic flow in flying insects: a review of current evidence.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2025
    Review
  14. Article
  15. Article
  16. Article
  17. Compensation to visual impairments and behavioral plasticity in navigating ants.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  18. Royal Society open science · 2024
    Article
  19. Review
  20. Review

4 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 2 institutions in 1 country.

Paul ArdinSchool of Informatics, University of Edinburgh, Edinburgh, United Kingdom.
Fei PengBiological and Experimental Psychology, School of Biological and Chemical Sciences, Queen Mary University of London, London, United Kingdom.
Michael ManganSchool of Informatics, University of Edinburgh, Edinburgh, United Kingdom.
Konstantinos LagogiannisSchool of Informatics, University of Edinburgh, Edinburgh, United Kingdom.
Barbara WebbSchool of Informatics, University of Edinburgh, Edinburgh, United Kingdom.
University of Edinburgh · GBQueen Mary University of London · GB

Funding

Biotechnology and Biological Sciences Research Council BB/I014543/1
6 · The paper itself

Abstract

Ants, like many other animals, use visual memory to follow extended routes through complex environments, but it is unknown how their small brains implement this capability. The mushroom body neuropils have been identified as a crucial memory circuit in the insect brain, but their function has mostly been explored for simple olfactory association tasks. We show that a spiking neural model of this circuit originally developed to describe fruitfly (Drosophila melanogaster) olfactory association, can also account for the ability of desert ants (Cataglyphis velox) to rapidly learn visual routes through complex natural environments. We further demonstrate that abstracting the key computational principles of this circuit, which include one-shot learning of sparse codes, enables the theoretical storage capacity of the ant mushroom body to be estimated at hundreds of independent images.

Indexed as

Models, NeurologicalAction PotentialsAlgorithmsAnimalsAntsComputational BiologyMemoryMushroom BodiesNeurons

Identifiers

PMID26866692
PMCPMC4750948
OpenAlexW2272552872

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.