@article{d7492d7f8b8e41d4a0f1eb0d51a744a4,
title = "Zebrafish Differentially Process Color 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.",
keywords = "2-photon in vivo imaging, UV vision, bipolar cell, color, natural imaging, retina, vision, visual ecology, zebrafish",
author = "Zimmermann, {Maxime J.Y.} and Nevala, {Noora E.} and Takeshi Yoshimatsu and Daniel Osorio and Nilsson, {Dan Eric} and Philipp Berens and Tom Baden",
note = "Funding Information: We thank Kripan Sarkar and Fredrik Jutfeld for help with field work, Leon Lagnado for the provision of zebrafish lines and critical feedback, and Thomas Euler for critical feedback. The authors would also like to acknowledge support from the FENS-Kavli Network of Excellence. Funding was provided by the European Research Council (ERC-StG “NeuroVisEco” 677687 to T.B.), Marie Curie Sklodowska Actions individual fellowship (“ColourFish” 748716 to T.Y.), Marie Sklodowska-Curie European Training network “Switchboard” (Switchboard receives funding from the European Union{\textquoteright}s Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement no. 674901 ), The Deutsche Forschungsgemeinschaft (DFG ) ( BA 5283/1-1 to T.B. and BE 5601/4-1 to P.B.), The Medical Research Council ( MC_PC_15071 to T.B.), and the Federal Ministry of Education and Research of Germany through the Bernstein Award for Computational Neuroscience ( FKZ 01GQ1601 to P.B.). Funding Information: We thank Kripan Sarkar and Fredrik Jutfeld for help with field work, Leon Lagnado for the provision of zebrafish lines and critical feedback, and Thomas Euler for critical feedback. The authors would also like to acknowledge support from the FENS-Kavli Network of Excellence. Funding was provided by the European Research Council (ERC-StG “NeuroVisEco” 677687 to T.B.), Marie Curie Sklodowska Actions individual fellowship (“ColourFish” 748716 to T.Y.), Marie Sklodowska-Curie European Training network “Switchboard” (Switchboard receives funding from the European Union's Horizon 2020 research and innovation programme under the Marie Sklodowska-Curie grant agreement no. 674901), The Deutsche Forschungsgemeinschaft (DFG) (BA 5283/1-1 to T.B. and BE 5601/4-1 to P.B.), The Medical Research Council (MC_PC_15071 to T.B.), and the Federal Ministry of Education and Research of Germany through the Bernstein Award for Computational Neuroscience (FKZ 01GQ1601 to P.B.). Publisher Copyright: {\textcopyright} 2018 The Author(s)",
year = "2018",
month = jul,
day = "9",
doi = "10.1016/j.cub.2018.04.075",
language = "English",
volume = "28",
pages = "2018--2032.e5",
journal = "Current Biology",
issn = "0960-9822",
number = "13",
}