Evidence map›Paper›PMID 24967877›Full record

ArticlePLoS computational biology2014

Unsupervised learning of cone spectral classes from natural images.

Noah C Benson, Jeremy R Manning, David H Brainard

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2014. 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
0.8field-weighted citation impact, top 31% 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

12 citing papers in PubMed, 21 citations in OpenAlex.

  1. Gaining the system: limits to compensating color deficiencies through post-receptoral gain changes.Journal of the Optical Society of America. A, Optics, image science, and vision · 2023
    Article
  2. Article
  3. Article
  4. Review
  5. Color, Pattern, and the Retinal Cone Mosaic.Current opinion in behavioral sciences · 2019
    Article
  6. Article
  7. Article
  8. Article
  9. Article
  10. Spatiochromatic Interactions between Individual Cone Photoreceptors in the Human Retina.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2017
    Article
  11. 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

3 authors at 1 institution in 1 country.

Noah C BensonDepartment of Psychology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America; Department of Neurology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
Jeremy R ManningDepartment of Psychology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
David H BrainardDepartment of Psychology, University of Pennsylvania, Philadelphia, Pennsylvania, United States of America.
University of Pennsylvania · US

Funding

COLOR CONSTANCY--REAL IMAGES AND EARLY VISUAL MECHANISMSR01EY010016 · NEI · UNIVERSITY OF PENNSYLVANIA · PI BRAINARD, DAVID H. · 1998 to 2018
$5.4M
NEI NIH HHS R01 EY010016NEI NIH HHS R01 EY10016
6 · The paper itself

Abstract

The first step in the evolution of primate trichromatic color vision was the expression of a third cone class not present in ancestral mammals. This observation motivates a fundamental question about the evolution of any sensory system: how is it possible to detect and exploit the presence of a novel sensory class? We explore this question in the context of primate color vision. We present an unsupervised learning algorithm capable of both detecting the number of spectral cone classes in a retinal mosaic and learning the class of each cone using the inter-cone correlations obtained in response to natural image input. The algorithm's ability to classify cones is in broad agreement with experimental evidence about functional color vision for a wide range of mosaic parameters, including those characterizing dichromacy, typical trichromacy, anomalous trichromacy, and possible tetrachromacy.

Indexed as

AlgorithmsAnimalsBiological EvolutionColor PerceptionColor VisionComputational BiologyComputer SimulationHumansLearningModels, BiologicalPrimatesRetinal Cone Photoreceptor Cells

Identifiers

PMID24967877
PMCPMC4072515
OpenAlexW1974742540

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.