Zebrafish Differentially Process Color across Visual Space to Match Natural Scenes

Maxime J.Y. Zimmermann, Noora E. Nevala, Takeshi Yoshimatsu, Daniel Osorio, Dan Eric Nilsson, Philipp Berens, Tom Baden

Research output: Contribution to journalArticlepeer-review

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. With half of their brain located inside the eyes, every neuron counts in the larval zebrafish retina. By 2-photon and hyperspectral natural imaging, Zimmermann et al. show how their near-360° visual field is functionally divided into tetrachromatic, achromatic, and UV prey-capture regions to match available visual information in nature.

Original languageEnglish
Pages (from-to)2018-2032.e5
JournalCurrent Biology
Volume28
Issue number13
Early online date2018 Jun 21
DOIs
Publication statusPublished - 2018 Jul

Subject classification (UKÄ)

  • Zoology

Free keywords

  • 2-photon in vivo imaging
  • bipolar cell
  • color
  • natural imaging
  • retina
  • UV vision
  • vision
  • visual ecology
  • zebrafish

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