Zebrafish differentially process color across visual space to match natural scenes

Zimmermann, Maxime J Y, Nevala, Noora E, Yoshimatsu, Takeshi, Osorio, Daniel, Nilsson, Dan-Eric, Berens, Philipp and Baden, Tom (2018) Zebrafish differentially process color across visual space to match natural scenes. Current Biology, 28 (13). pp. 2018-2032. ISSN 0960-9822

[img] PDF - Published Version
Available under License Creative Commons Attribution.

Download (4MB)

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 vivo2-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

Item Type: Article
Keywords: retina vision color bipolar cell visual ecology zebrafish natural imaging UV vision 2-photon in vivo imaging
Schools and Departments: School of Life Sciences > Evolution, Behaviour and Environment
School of Life Sciences > Neuroscience
Research Centres and Groups: Sussex Neuroscience
Subjects: Q Science > QL Zoology > QL0750 Animal behaviour > QL0776 Communication
Depositing User: Daniel ColacoOsorio
Date Deposited: 15 Mar 2019 10:57
Last Modified: 15 Mar 2019 10:58
URI: http://srodev.sussex.ac.uk/id/eprint/82548

View download statistics for this item

📧 Request an update