Visual representations are dominated by intrinsic fluctuations correlated between areas

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Visual representations are dominated by intrinsic fluctuations correlated between areas. / Henriksson, Linda; Khaligh-Razavi, Seyed-Mahdi; Kay, Kendrick; Kriegeskorte, Nikolaus.

In: NeuroImage, Vol. 114, 2015, p. 275-286.

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Henriksson, Linda ; Khaligh-Razavi, Seyed-Mahdi ; Kay, Kendrick ; Kriegeskorte, Nikolaus. / Visual representations are dominated by intrinsic fluctuations correlated between areas. In: NeuroImage. 2015 ; Vol. 114. pp. 275-286.

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@article{a690388b9e2947449176e55525238f20,
title = "Visual representations are dominated by intrinsic fluctuations correlated between areas",
abstract = "Intrinsic cortical dynamics are thought to underlie trial-to-trial variability of visually evoked responses in animal models. Understanding their function in the context of sensory processing and representation is a major current challenge. Here we report that intrinsic cortical dynamics strongly affect the representational geometry of a brain region, as reflected in response-pattern dissimilarities, and exaggerate the similarity of representations between brain regions. We characterized the representations in several human visual areas by representational dissimilarity matrices (RDMs) constructed from fMRI response-patterns for natural image stimuli. The RDMs of different visual areas were highly similar when the response-patterns were estimated on the basis of the same trials (sharing intrinsic cortical dynamics), and quite distinct when patterns were estimated on the basis of separate trials (sharing only the stimulus-driven component). We show that the greater similarity of the representational geometries can be explained by coherent fluctuations of regional-mean activation within visual cortex, reflecting intrinsic dynamics. Using separate trials to study stimulus-driven representations revealed clearer distinctions between the representational geometries: a Gabor wavelet pyramid model explained representational geometry in visual areas V1–3 and a categorical animate–inanimate model in the object-responsive lateral occipital cortex.",
keywords = "Functional MRI, Visual cortex, Intrinsic dynamics, Natural images, Pattern information, Representational similarity",
author = "Linda Henriksson and Seyed-Mahdi Khaligh-Razavi and Kendrick Kay and Nikolaus Kriegeskorte",
year = "2015",
doi = "10.1016/j.neuroimage.2015.04.026",
language = "English",
volume = "114",
pages = "275--286",
journal = "NeuroImage",
issn = "1053-8119",

}

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TY - JOUR

T1 - Visual representations are dominated by intrinsic fluctuations correlated between areas

AU - Henriksson, Linda

AU - Khaligh-Razavi, Seyed-Mahdi

AU - Kay, Kendrick

AU - Kriegeskorte, Nikolaus

PY - 2015

Y1 - 2015

N2 - Intrinsic cortical dynamics are thought to underlie trial-to-trial variability of visually evoked responses in animal models. Understanding their function in the context of sensory processing and representation is a major current challenge. Here we report that intrinsic cortical dynamics strongly affect the representational geometry of a brain region, as reflected in response-pattern dissimilarities, and exaggerate the similarity of representations between brain regions. We characterized the representations in several human visual areas by representational dissimilarity matrices (RDMs) constructed from fMRI response-patterns for natural image stimuli. The RDMs of different visual areas were highly similar when the response-patterns were estimated on the basis of the same trials (sharing intrinsic cortical dynamics), and quite distinct when patterns were estimated on the basis of separate trials (sharing only the stimulus-driven component). We show that the greater similarity of the representational geometries can be explained by coherent fluctuations of regional-mean activation within visual cortex, reflecting intrinsic dynamics. Using separate trials to study stimulus-driven representations revealed clearer distinctions between the representational geometries: a Gabor wavelet pyramid model explained representational geometry in visual areas V1–3 and a categorical animate–inanimate model in the object-responsive lateral occipital cortex.

AB - Intrinsic cortical dynamics are thought to underlie trial-to-trial variability of visually evoked responses in animal models. Understanding their function in the context of sensory processing and representation is a major current challenge. Here we report that intrinsic cortical dynamics strongly affect the representational geometry of a brain region, as reflected in response-pattern dissimilarities, and exaggerate the similarity of representations between brain regions. We characterized the representations in several human visual areas by representational dissimilarity matrices (RDMs) constructed from fMRI response-patterns for natural image stimuli. The RDMs of different visual areas were highly similar when the response-patterns were estimated on the basis of the same trials (sharing intrinsic cortical dynamics), and quite distinct when patterns were estimated on the basis of separate trials (sharing only the stimulus-driven component). We show that the greater similarity of the representational geometries can be explained by coherent fluctuations of regional-mean activation within visual cortex, reflecting intrinsic dynamics. Using separate trials to study stimulus-driven representations revealed clearer distinctions between the representational geometries: a Gabor wavelet pyramid model explained representational geometry in visual areas V1–3 and a categorical animate–inanimate model in the object-responsive lateral occipital cortex.

KW - Functional MRI

KW - Visual cortex

KW - Intrinsic dynamics

KW - Natural images

KW - Pattern information

KW - Representational similarity

U2 - 10.1016/j.neuroimage.2015.04.026

DO - 10.1016/j.neuroimage.2015.04.026

M3 - Article

VL - 114

SP - 275

EP - 286

JO - NeuroImage

JF - NeuroImage

SN - 1053-8119

ER -

ID: 2035318