Cortical representations of natural images are scale-free and shared across subjects over many dimensions.

<p>(Left) Within-subject covariance spectra of visual cortex responses in a general region of interest including all visually responsive voxels from the Natural Scenes fMRI dataset [<a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1013714#pcbi.1013714.ref013&q...

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Bibliographic Details
Main Author:	Raj Magesh Gauthaman (22662887) (author)
Other Authors:	Brice Ménard (19006160) (author), Michael F. Bonner (5131151) (author)
Published:	2025
Subjects:	Cell Biology Neuroscience Mental Health traditional analysis approaches move beyond low fundamental organizing principle analyzing fmri responses characterized individual dimensions neural population activity remarkably consistent scale cortical activity neural representations neural coding variance dimensions representational dimensions latent dimensions xlink "> visual representation visual processing visual information visual experience variance decay universal scale systematic way still lack small number results demonstrate previous research organized across law distribution largely shared key property fully understand full range full dimensionality free representations focused primarily findings suggest distributed across dimensional spectrum dimensional characterizations comprehensive understanding cognitive neuroscience brain represents brain anatomy across individuals
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Cortical representations of natural images are scale-free and shared across subjects over many dimensions.

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