Evidence map›Paper›PMID 28233315›Full record

ReviewThe Journal of physiology2017

How a fly photoreceptor samples light information in time.

Mikko Juusola, Zhuoyi Song

Abstract readReview
In one paragraph

Review in The Journal of physiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
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  3. Article
  4. Article
  5. Article
  6. Article
  7. CaThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2019
    Article
  8. Image statistics of the environment surrounding freely behaving hoverflies.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2019
    Article
  9. Article
  10. Article
  11. Review
  12. Article
  13. Article
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

2 authors.

Mikko JuusolaDepartment of Biomedical Science, University of Sheffield, Sheffield, S10 T2N, UK.ORCID 0000-0002-4428-5330
Zhuoyi SongDepartment of Biomedical Science, University of Sheffield, Sheffield, S10 T2N, UK.ORCID 0000-0001-9991-4053

Funding

Biotechnology and Biological Sciences Research Council BB/D001900/1Biotechnology and Biological Sciences Research Council BB/F012071/1Biotechnology and Biological Sciences Research Council BB/H013849/1
6 · The paper itself

Abstract

A photoreceptor's information capture is constrained by the structure and function of its light-sensitive parts. Specifically, in a fly photoreceptor, this limit is set by the number of its photon sampling units (microvilli), constituting its light sensor (the rhabdomere), and the speed and recoverability of their phototransduction reactions. In this review, using an insightful constructionist viewpoint of a fly photoreceptor being an 'imperfect' photon counting machine, we explain how these constraints give rise to adaptive quantal information sampling in time, which maximises information in responses to salient light changes while antialiasing visual signals. Interestingly, such sampling innately determines also why photoreceptors extract more information, and more economically, from naturalistic light contrast changes than Gaussian white-noise stimuli, and we explicate why this is so. Our main message is that stochasticity in quantal information sampling is less noise and more processing, representing an 'evolutionary adaptation' to generate a reliable neural estimate of the variable world.

Indexed as

AnimalsDipteraLightPhotoreceptor Cells, Invertebrateadaptive samplingdrosophilainformation theoryphotoreceptorquantum bumpvision

Identifiers

PMID28233315
PMCPMC5556158

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.