Evidence map›Paper›PMID 30392796›Full record

ArticleNeuron2018

Scale-Invariant Visual Capabilities Explained by Topographic Representations of Luminance and Texture in Primate V1.

Giacomo Benvenuti, Yuzhi Chen, Charu Ramakrishnan, Karl Deisseroth, Wilson S Geisler, Eyal Seidemann

Erratum issuedAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Neuron, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

6 authors.

Giacomo BenvenutiCenter for Perceptual Systems, University of Texas, Austin, TX 78712, USA; Department of Psychology, University of Texas, Austin, TX 78712, USA; Department of Neuroscience, University of Texas, Austin, TX 78712, USA.
Yuzhi ChenCenter for Perceptual Systems, University of Texas, Austin, TX 78712, USA; Department of Psychology, University of Texas, Austin, TX 78712, USA; Department of Neuroscience, University of Texas, Austin, TX 78712, USA.
Charu RamakrishnanDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA.
Karl DeisserothDepartment of Bioengineering, Stanford University, Stanford, CA 94305, USA; CNC Program, Stanford University, Stanford, CA 94304, USA; Neurosciences Program, Stanford University, Stanford, CA 94305, USA; Department of Psychiatry and Behavioral Sciences, Stanford University, Stanford, CA 94305, USA; Howard Hughes Medical Institute, Stanford University, Stanford, CA 94305, USA.
Wilson S GeislerCenter for Perceptual Systems, University of Texas, Austin, TX 78712, USA; Department of Psychology, University of Texas, Austin, TX 78712, USA.
Eyal SeidemannCenter for Perceptual Systems, University of Texas, Austin, TX 78712, USA; Department of Psychology, University of Texas, Austin, TX 78712, USA; Department of Neuroscience, University of Texas, Austin, TX 78712, USA. Electronic address: eyal@austin.utexas.edu.

Funding

Linking Neural Population Activity and Visual PerceptionR01EY016454 · NEI · UNIVERSITY OF TEXAS AUSTIN · PI SEIDEMANN, EYAL J · 2005 to 2024
$6.6M
PERCEPTUAL ORGANIZATION OF TWO DIMENSIONAL PATTERNSR01EY011747 · NEI · UNIVERSITY OF TEXAS AUSTIN · PI GEISLER, WILSON S · 1997 to 2022
$6.4M
PERIPHERAL MECHANISMS OF VISUAL DISCRIMINATIONR01EY002688 · NEI · UNIVERSITY OF TEXAS AUSTIN · PI GEISLER, WILSON S · 1985 to 2012
$4.5M
Visual Search and Detection in Natural ScenesR01EY024662 · NEI · UNIVERSITY OF TEXAS AT AUSTIN · PI GEISLER, WILSON S · 2015 to 2022
$2.9M
An optical-genetic toolbox for reading and writing neural population codes in functional mapsU01NS099720 · NINDS · UNIVERSITY OF TEXAS AT AUSTIN · PI GEISLER, WILSON S, SEIDEMANN, EYAL J · 2016 to 2018
$1.8M
NEI NIH HHS R01 EY002688NEI NIH HHS R01 EY011747NEI NIH HHS R01 EY016454NEI NIH HHS R01 EY024662NINDS NIH HHS U01 NS099720
6 · The paper itself

Abstract

Humans have remarkable scale-invariant visual capabilities. For example, our orientation discrimination sensitivity is largely constant over more than two orders of magnitude of variations in stimulus spatial frequency (SF). Orientation-selective V1 neurons are likely to contribute to orientation discrimination. However, because at any V1 location neurons have a limited range of receptive field (RF) sizes, we predict that at low SFs V1 neurons will carry little orientation information. If this were the case, what could account for the high behavioral sensitivity at low SFs? Using optical imaging in behaving macaques, we show that, as predicted, V1 orientation-tuned responses drop rapidly with decreasing SF. However, we reveal a surprising coarse-scale signal that corresponds to the projection of the luminance layout of low-SF stimuli to V1's retinotopic map. This homeomorphic and distributed representation, which carries high-quality orientation information, is likely to contribute to our striking scale-invariant visual capabilities.

Indexed as

Brain MappingOrientationAnimalsContrast SensitivityDiscrimination, PsychologicalMacaca mulattaMaleNeuronsPhotic StimulationVisual CortexVisual Pathwaysgenetically encoded cacium indicatorsmulti-scale representationneural population codeoptical imagingorientation discriminationorientation mapprimary visual cortexretinotopic mapvisual perceptionvoltage sensitive dye

Identifiers

PMID30392796
PMCPMC6345167

What OpenQuestion holds

Textmetadata
LicenceTDM
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.