Evidence map›Paper›PMID 26020624›Full record

ArticlePLoS computational biology2015

Predicting cortical dark/bright asymmetries from natural image statistics and early visual transforms.

Emily A Cooper, Anthony M Norcia

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

28 citing papers in PubMed, 46 citations in OpenAlex.

  1. Article
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  6. Contrast Sensitivity of ON and OFF Human Retinal Pathways in Myopia.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2024
    Article
  7. Dynamic Recruitment of the Feedforward and Recurrent Mechanism for Black-White Asymmetry in the Primary Visual Cortex.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  8. Article
  9. Model-Based Approach Shows ON Pathway Afferents Elicit a Transient Decrease of V1 Responses.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  10. Luminance Contrast Shifts Dominance Balance between ON and OFF Pathways in Human Vision.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2023
    Article
  11. Faster Detection of "Darks" than "Brights" by Monkey Superior Colliculus Neurons.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2022
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  19. Amblyopia Affects the ON Visual Pathway More than the OFF.The Journal of neuroscience : the official journal of the Society for Neuroscience · 2019
    Article
  20. 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 at 1 institution in 1 country.

Emily A CooperDepartment of Psychology, Stanford University, Stanford, California, United States of America.
Anthony M NorciaDepartment of Psychology, Stanford University, Stanford, California, United States of America.
Stanford University · US

Funding

Disparity processing in visual cortexR01EY018875 · NEI · STANFORD UNIVERSITY · PI NORCIA, ANTHONY M · 2008 to 2021
$4.6M
NEI NIH HHS 5R01EY018875-05NEI NIH HHS R01 EY018875
6 · The paper itself

Abstract

The nervous system has evolved in an environment with structure and predictability. One of the ubiquitous principles of sensory systems is the creation of circuits that capitalize on this predictability. Previous work has identified predictable non-uniformities in the distributions of basic visual features in natural images that are relevant to the encoding tasks of the visual system. Here, we report that the well-established statistical distributions of visual features--such as visual contrast, spatial scale, and depth--differ between bright and dark image components. Following this analysis, we go on to trace how these differences in natural images translate into different patterns of cortical input that arise from the separate bright (ON) and dark (OFF) pathways originating in the retina. We use models of these early visual pathways to transform natural images into statistical patterns of cortical input. The models include the receptive fields and non-linear response properties of the magnocellular (M) and parvocellular (P) pathways, with their ON and OFF pathway divisions. The results indicate that there are regularities in visual cortical input beyond those that have previously been appreciated from the direct analysis of natural images. In particular, several dark/bright asymmetries provide a potential account for recently discovered asymmetries in how the brain processes visual features, such as violations of classic energy-type models. On the basis of our analysis, we expect that the dark/bright dichotomy in natural images plays a key role in the generation of both cortical and perceptual asymmetries.

Indexed as

AnimalsCalibrationComputer SimulationDatabases, FactualHumansImage Processing, Computer-AssistedModels, NeurologicalModels, StatisticalNeuronsNormal DistributionPattern Recognition, AutomatedPhotic StimulationProbabilityRetinaRetinal Ganglion CellsVision, Ocular

Identifiers

PMID26020624
PMCPMC4447361
OpenAlexW2141283407

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.