Evidence map›Paper›PMID 16448249›Full record

ArticlePLoS biology2006

Insect detection of small targets moving in visual clutter.

Karin Nordström, Paul D Barnett, David C O'Carroll

Abstract read
In one paragraph

Article in PLoS biology, 2006. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed
–field-weighted citation impact
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

47 citing papers in PubMed.

  1. Article
  2. Article
  3. On analogies in vertebrate and insect visual systems.Nature reviews. Neuroscience · 2025
    Review
  4. Article
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  6. Article
  7. Article
  8. Article
  9. Article
  10. Article
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  12. Facilitation of neural responses to targets moving against optic flow.Proceedings of the National Academy of Sciences of the United States of America · 2021
    Article
  13. Article
  14. Article
  15. Article
  16. Article
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  18. Article
  19. Visual motion sensitivity in descending neurons in the hoverfly.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2020
    Article
  20. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

3 authors.

Karin NordströmSchool of Molecular and Biomedical Science, The University of Adelaide, Adelaide, Australia. karin.nordstrom@adelaide.edu.au
Paul D Barnett
David C O'Carroll

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detection of targets that move within visual clutter is a common task for animals searching for prey or conspecifics, a task made even more difficult when a moving pursuer needs to analyze targets against the motion of background texture (clutter). Despite the limited optical acuity of the compound eye of insects, this challenging task seems to have been solved by their tiny visual system. Here we describe neurons found in the male hoverfly, Eristalis tenax, that respond selectively to small moving targets. Although many of these target neurons are inhibited by the motion of a background pattern, others respond to target motion within the receptive field under a surprisingly large range of background motion stimuli. Some neurons respond whether or not there is a speed differential between target and background. Analysis of responses to very small targets (smaller than the size of the visual field of single photoreceptors) or those targets with reduced contrast shows that these neurons have extraordinarily high contrast sensitivity. Our data suggest that rejection of background motion may result from extreme selectivity for small targets contrasting against local patches of the background, combined with this high sensitivity, such that background patterns rarely contain features that satisfactorily drive the neuron.

Indexed as

AnimalsDipteraMaleNeuronsSensitivity and SpecificityVision, Ocular

Identifiers

PMID16448249
PMCPMC1360098

What OpenQuestion holds

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Read underepoch 390

Registered trials

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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.