Dataset Information

The topographical arrangement of cutoff spatial frequencies across lower and upper visual fields in mouse V1.

ABSTRACT: The visual response to spatial frequency (SF), a characteristic of spatial structure across position in space, is of particular importance for animal survival. A natural challenge for rodents is to detect predators as early as possible while foraging. Whether neurons in mouse primary visual cortex (V1) are functionally organized to meet this challenge remains unclear. Combining intrinsic signal optical imaging and single-unit recording, we found that the cutoff SF was much greater for neurons whose receptive fields were located above the mouse. Specifically, we discovered that the cutoff SF increased in a gradient that was positively correlated with the elevation in the visual field. This organization was present at eye opening and persisted through adulthood. Dark rearing delayed the maturation of the cutoff SF globally, but had little impact on the topographical organization of the cutoff SF, suggesting that this regional distribution is innately determined. This form of cortical organization of different SFs may benefit the mouse for detection of airborne threats in the natural environment.

SUBMITTER: Zhang X

PROVIDER: S-EPMC4291572 | biostudies-literature | 2015 Jan

REPOSITORIES: biostudies-literature

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The topographical arrangement of cutoff spatial frequencies across lower and upper visual fields in mouse V1.

Zhang Xian X An Xu X Liu Hanxiao H Peng Jing J Cai Shanshan S Wang Wei W Lin Da-Ting DT Yang Yupeng Y

Scientific reports 20150113

The visual response to spatial frequency (SF), a characteristic of spatial structure across position in space, is of particular importance for animal survival. A natural challenge for rodents is to detect predators as early as possible while foraging. Whether neurons in mouse primary visual cortex (V1) are functionally organized to meet this challenge remains unclear. Combining intrinsic signal optical imaging and single-unit recording, we found that the cutoff SF was much greater for neurons wh ...[more]

PMID: 25583266

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Project description:In complex real-world scenes, image content is conveyed by a large collection of intertwined visual features. The visual system disentangles these features in order to extract information about image content. Here, we investigate the role of one integral component: the content of spatial frequencies in an image. Specifically, we measure the amount of image content carried by low versus high spatial frequencies for the representation of real-world scenes in scene-selective regions of human visual cortex. To this end, we attempted to decode scene categories from the brain activity patterns of participants viewing scene images that contained the full spatial frequency spectrum, only low spatial frequencies, or only high spatial frequencies, all carefully controlled for contrast and luminance. Contrary to the findings from numerous behavioral studies and computational models that have highlighted how low spatial frequencies preferentially encode image content, decoding of scene categories from the scene-selective brain regions, including the parahippocampal place area (PPA), was significantly more accurate for high than low spatial frequency images. In fact, decoding accuracy was just as high for high spatial frequency images as for images containing the full spatial frequency spectrum in scene-selective areas PPA, RSC, OPA and object selective area LOC. We also found an interesting dissociation between the posterior and anterior subdivisions of PPA: categories were decodable from both high and low spatial frequency scenes in posterior PPA but only from high spatial frequency scenes in anterior PPA; and spatial frequency was explicitly decodable from posterior but not anterior PPA. Our results are consistent with recent findings that line drawings, which consist almost entirely of high spatial frequencies, elicit a neural representation of scene categories that is equivalent to that of full-spectrum color photographs. Collectively, these findings demonstrate the importance of high spatial frequencies for conveying the content of complex real-world scenes.

Dataset Information

The topographical arrangement of cutoff spatial frequencies across lower and upper visual fields in mouse V1.

Publications

The topographical arrangement of cutoff spatial frequencies across lower and upper visual fields in mouse V1.

Similar Datasets

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