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ZENODO
Dataset . 2019
License: CC 0
Data sources: ZENODO
DRYAD
Dataset . 2019
License: CC 0
Data sources: Datacite
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Data from: Zebrafish differentially process colour across visual space to match natural scenes

Authors: Zimmermann, Maxime J. Y.; Nevala, Noora E.; Yoshimatsu, Takeshi; Osorio, Daniel; Nilsson, Dan-Eric; Berens, Philipp; Baden, Tom; +1 Authors

Data from: Zebrafish differentially process colour across visual space to match natural scenes

Abstract

Animal eyes have evolved to process behaviorally important visual information, but how retinas deal with statistical asymmetries in visual space remains poorly understood. Using hyperspectral imaging in the field, in vivo 2-photon imaging of retinal neurons, and anatomy, here we show that larval zebrafish use a highly anisotropic retina to asymmetrically survey their natural visual world. First, different neurons dominate different parts of the eye and are linked to a systematic shift in inner retinal function: above the animal, there is little color in nature, and retinal circuits are largely achromatic. Conversely, the lower visual field and horizon are color rich and are predominately surveyed by chromatic and color-opponent circuits that are spectrally matched to the dominant chromatic axes in nature. Second, in the horizontal and lower visual field, bipolar cell terminals encoding achromatic and color-opponent visual features are systematically arranged into distinct layers of the inner retina. Third, above the frontal horizon, a high-gain UV system piggybacks onto retinal circuits, likely to support prey capture.

Data StructureList of all uploaded data and explanationsSelected Figure panel dataSelected Figure panel dataFigure Arrangement.zipProcessed dataPreprocessed dataPreprocessed traces (z-normalised) with timing and stimulus arrays for tetrachromatic noise stimulus

Related Organizations
Keywords

retina, Danio rerio, natural scenes, Colour Vision

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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