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

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.

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Journal
PLoS Computational Biology
Published
2025-10-27
DOI
https://doi.org/10.1371/journal.pcbi.1013599
Citations
1
Primary Topic
Visual perception and processing mechanisms
Type
article
Field-Weighted Citation Impact
1.43
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article

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

Jonathan A. Winawer, Marisa Carrasco, Marc M. Himmelberg, Yuna Kwak
1 citations
PLoS Computational Biology
Visual perception and processing mechanisms
1.43
article

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

Jonathan A. Winawer, Marisa Carrasco, Marc M. Himmelberg, Yuna Kwak
article en
1 citations

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.

PLoS Computational BiologyVol. 21(10)
New York University (US)
Openalex Percentile: Top 14%
Visual perception and processing mechanisms
1.43
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Unpacking the V1 map: Differential covariation of preferred spatial frequency and cortical magnification across spatial dimensions — Jonathan A. Winawer, Marisa Carrasco, et al. · PLoS Computational Biology (2025) | TGRS Research Map | TGRS