Evidence map›Paper›PMID 26439748›Full record

ArticleNature communications2015

A higher order visual neuron tuned to the spatial amplitude spectra of natural scenes.

Olga Dyakova, Yu-Jen Lee, Kit D Longden, Valerij G Kiselev, Karin Nordström

Abstract read
In one paragraph

Article in Nature communications, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing 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

12 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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
  5. Article
  6. Image statistics of the environment surrounding freely behaving hoverflies.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2019
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Naturalness Preserved Image Enhancement UsingIEEE transactions on image processing : a publication of the IEEE Signal Processing Society · 2018
    Article
  12. 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

5 authors.

Olga DyakovaDepartment of Neuroscience, Uppsala University, Box 593, 75124 Uppsala, Sweden.
Yu-Jen LeeDepartment of Neuroscience, Uppsala University, Box 593, 75124 Uppsala, Sweden.
Kit D LongdenHHMI Janelia Research Campus, 19700 Helix Drive, Ashburn, Virginia 20176, USA.
Valerij G KiselevMedical Physics, Department of Radiology, University Medical Center Freiburg, Breisacher Strasse 60a, 79106 Freiburg, Germany.
Karin NordströmDepartment of Neuroscience, Uppsala University, Box 593, 75124 Uppsala, Sweden.

Funding

Howard Hughes Medical Institute
6 · The paper itself

Abstract

Animal sensory systems are optimally adapted to those features typically encountered in natural surrounds, thus allowing neurons with limited bandwidth to encode challengingly large input ranges. Natural scenes are not random, and peripheral visual systems in vertebrates and insects have evolved to respond efficiently to their typical spatial statistics. The mammalian visual cortex is also tuned to natural spatial statistics, but less is known about coding in higher order neurons in insects. To redress this we here record intracellularly from a higher order visual neuron in the hoverfly. We show that the cSIFE neuron, which is inhibited by stationary images, is maximally inhibited when the slope constant of the amplitude spectrum is close to the mean in natural scenes. The behavioural optomotor response is also strongest to images with naturalistic image statistics. Our results thus reveal a close coupling between the inherent statistics of natural scenes and higher order visual processing in insects.

Indexed as

AnimalsDipteraFourier AnalysisMotion PerceptionNeuronsPhotic StimulationSpace PerceptionVisual CortexVisual Perception

Identifiers

PMID26439748
PMCPMC4600736

What OpenQuestion holds

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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.