Evidence map›Paper›PMID 29261684›Full record

ArticlePloS one2017

Neural mechanisms underlying sensitivity to reverse-phi motion in the fly.

Aljoscha Leonhardt, Matthias Meier, Etienne Serbe, Hubert Eichner, Alexander Borst

Abstract read
In one paragraph

Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Afterimages drive a shared visual motion-reversal illusion inbioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. How fly neurons compute the direction of visual motion.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2020
    Review
  4. Article
  5. Article
  6. Review
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.

Aljoscha LeonhardtMax-Planck-Institute for Neurobiology, Martinsried, Germany.ORCID http://orcid.org/0000-0002-5244-9737
Matthias MeierMax-Planck-Institute for Neurobiology, Martinsried, Germany.
Etienne SerbeMax-Planck-Institute for Neurobiology, Martinsried, Germany.
Hubert EichnerMax-Planck-Institute for Neurobiology, Martinsried, Germany.
Alexander BorstMax-Planck-Institute for Neurobiology, Martinsried, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Optical illusions provide powerful tools for mapping the algorithms and circuits that underlie visual processing, revealing structure through atypical function. Of particular note in the study of motion detection has been the reverse-phi illusion. When contrast reversals accompany discrete movement, detected direction tends to invert. This occurs across a wide range of organisms, spanning humans and invertebrates. Here, we map an algorithmic account of the phenomenon onto neural circuitry in the fruit fly Drosophila melanogaster. Through targeted silencing experiments in tethered walking flies as well as electrophysiology and calcium imaging, we demonstrate that ON- or OFF-selective local motion detector cells T4 and T5 are sensitive to certain interactions between ON and OFF. A biologically plausible detector model accounts for subtle features of this particular form of illusory motion reversal, like the re-inversion of turning responses occurring at extreme stimulus velocities. In light of comparable circuit architecture in the mammalian retina, we suggest that similar mechanisms may apply even to human psychophysics.

Indexed as

Motion PerceptionAlgorithmsAnimalsBehavior, AnimalDrosophila melanogasterModels, NeurologicalNeuronsOptical Illusions

Identifiers

PMID29261684
PMCPMC5737883

What OpenQuestion holds

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LicenceCC BY
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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.