Evidence map›Paper›PMID 41144512›Full record

ArticlePLoS computational biology2025

Unpacking the V1 map: Differential covariation of preferred spatial frequency and cortical magnification across spatial dimensions.

Marc M Himmelberg, Yuna Kwak, Marisa Carrasco, Jonathan Winawer

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Article in PLoS computational biology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

Who cites it

6 citing papers in PubMed.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Marc M HimmelbergDepartment of Psychology, New York University, New York, New York, United States of America.ORCID 0000-0001-9133-7984
Yuna KwakDepartment of Psychology, New York University, New York, New York, United States of America.
Marisa CarrascoDepartment of Psychology, New York University, New York, New York, United States of America.
Jonathan WinawerDepartment of Psychology, New York University, New York, New York, United States of America.

Funding

Vision Core Grant- Design and Fabrication ModuleP30EY013079 · NEI · NEW YORK UNIVERSITY · PI ANGELAKI, DORA · 2000 to 2025
$14.2M
Linking brain and behavior 'around' the visual fieldR01EY027401 · NEI · NEW YORK UNIVERSITY · PI CARRASCO, MARISA, WINAWER, JONATHAN A · 2017 to 2025
$2.9M
CRCNS: Integrating gray and white matter data to understand the organization of human visual cortexR01EY033628 · NEI · UNIVERSITY OF WASHINGTON · PI Noah C Benson, JONATHAN A WINAWER · 2021 to 2026
$1.7M
NEI NIH HHS P30 EY013079NEI NIH HHS R01 EY027401NEI NIH HHS R01 EY033628
6 · The paper itself

Abstract

Primary visual cortex (V1) has long served as a model system for understanding cortical organization. Although its structural and functional properties vary markedly across its surface, patterns of covariation suggest possible underlying constancies. Such constancies would imply that V1 is composed of multiple identical units whose visual properties differ only due to differences in their inputs. To test this, we used fMRI to investigate how V1 cortical magnification and preferred spatial frequency covary with eccentricity and polar angle, measured in 40 observers. V1 cortical magnification and preferred spatial frequency were strongly correlated across eccentricity and around polar angle, however their relation differed between these dimensions: they were proportional across eccentricity but not polar angle. The constant ratio of cortical magnification to preferred spatial frequency when measured as a function of eccentricity suggests a shared underlying cause of variation in the two properties, e.g., the gradient of retinal ganglion cell density across eccentricity. In contrast, the deviation from proportionality around polar angle implies that cortical variation differs from that in retina along this dimension. Thus, a constancy hypothesis is supported for one of the two spatial dimensions of V1, highlighting the importance of examining the full 2D-map to understand how V1 is organized.

Indexed as

Brain MappingModels, NeurologicalPrimary Visual CortexVisual CortexAdultComputational BiologyFemaleHumansMagnetic Resonance ImagingMalePhotic StimulationYoung Adult

Identifiers

PMID41144512
PMCPMC12585101

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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.