Baden, T. Circuit mechanisms for colour vision in zebrafish. Curr. Biol. 31, R807–R820 (2021).
Google Scholar
Dacey, D. M. & Packer, O. S. Colour coding in the primate retina: diverse cell types and cone-specific circuitry. Curr. Opin. Neurobiol. 13, 421–427 (2003).
Google Scholar
Nilsson, D.-E. The diversity of eyes and vision. Annu. Rev. Vis. Sci. 7, 19–41 (2021).
Google Scholar
Cronin, T. W. & Bok, M. J. Photoreception and vision in the ultraviolet. J. Exp. Biol. 219, 2790–2801 (2016).
Google Scholar
Baden, T. & Osorio, D. The retinal basis of vertebrate color vision. Annu. Rev. Vis. Sci. 5, 177–200 (2019).
Google Scholar
Hagen, J. F. D., Roberts, N. S. & Johnston, R. J. The evolutionary history and spectral tuning of vertebrate visual opsins. Dev. Biol. 493, 40–66 (2023).
Google Scholar
Bartel, P., Janiak, F. K., Osorio, D. & Baden, T. Colourfulness as a possible measure of object proximity in the larval zebrafish brain. Curr. Biol. 31, R235–R236 (2021).
Google Scholar
Kelber, A. Bird colour vision – from cones to perception. Curr. Opin. Behav. Sci. 30, 34–40 (2019).
Google Scholar
Baden, T. From water to land: the evolution of photoreceptor circuits for vision on land. PLoS Biol., (2024).
Qiu, Y. et al. Natural environment statistics in the upper and lower visual field are reflected in mouse retinal specializations. Curr. Biol. (2021).
Google Scholar
Baden, T. et al. A tale of two retinal domains: near-optimal sampling of achromatic contrasts in natural scenes through asymmetric photoreceptor distribution. Neuron 80, 1206–1217 (2013).
Google Scholar
Nadal-Nicolás, F. M. et al. True S-cones are concentrated in the ventral mouse retina and wired for color detection in the upper visual field. eLife 9, e56840 (2020).
Google Scholar
Szatko, K. P. et al. Neural circuits in the mouse retina support color vision in the upper visual field. Nat. Commun. 11, 3481 (2020).
Google Scholar
Denman, D. J. et al. Mouse color and wavelength-specific luminance contrast sensitivity are non-uniform across visual space. eLife 7, e31209 (2018).
Google Scholar
Franke, K. et al. Asymmetric distribution of color-opponent response types across mouse visual cortex supports superior color vision in the sky. Preprint at bioRxiv (2023).
Yoshimatsu, T. et al. Ancestral circuits for vertebrate color vision emerge at the first retinal synapse. Sci. Adv. 7, 6815–6828 (2021).
Google Scholar
Bartel, P., Yoshimatsu, T., Janiak, F. K. & Baden, T. Spectral inference reveals principal cone-integration rules of the zebrafish inner retina. Curr. Biol. (2021).
Krauss, A. & Neumeyer, C. Wavelength dependence of the optomotor response in zebrafish (Danio rerio). Vis. Res. 43, 1273–1282 (2003).
Google Scholar
Khan, B. et al. Zebrafish larvae use stimulus intensity and contrast to estimate distance to prey. Curr. Biol. 33, 3179–3191.e4 (2023).
Google Scholar
Cronly-Dillon, J. R. & Muntz, W. R. A. The spectral sensitivity of the goldfish and the clawed toad tadpole under photopic conditions. J. Exp. Biol. 42, 481–493 (1965).
Google Scholar
Campenhausen, M. V. & Kirschfeld, K. Spectral sensitivity of the accessory optic system of the pigeon. J. Comp. Physiol. A 183, 1–6 (1998).
Google Scholar
Wang, X., Roberts, P. A., Yoshimatsu, T., Lagnado, L. & Baden, T. Amacrine cells differentially balance zebrafish color circuits in the central and peripheral retina. Cell Rep. 42, 112055 (2023).
Google Scholar
Kaneko, A. Receptive field organization of bipolar and amacrine cells in the goldfish retina. J. Physiol. 235, 133–153 (1973).
Google Scholar
Feuda, R., Hamilton, S. C., McInerney, J. O. & Pisani, D. Metazoan opsin evolution reveals a simple route to animal vision. Proc. Natl Acad. Sci. USA 109, 18868–18872 (2012).
Google Scholar
Baden, T., Euler, T. & Berens, P. Understanding the retinal basis of vision across species. Nat. Rev. Neurosci. 21, 5–20 (2020).
Google Scholar
Hart, N. S. Vision in sharks and rays: opsin diversity and colour vision. Semin. Cell Dev. Biol. 106, 12–19 (2020).
Google Scholar
Seifert, M., Baden, T. & Osorio, D. The retinal basis of vision in chicken. Semin. Cell Dev. Biol. 106, 106–115 (2020).
Google Scholar
van der Kooi, C. J., Stavenga, D. G., Arikawa, K., Belušič, G. & Kelber, A. Evolution of insect color vision: from spectral sensitivity to visual ecology. Annu. Rev. Entomol. 66, 435–461 (2021).
Google Scholar
Baden, T. Vertebrate vision: lessons from non-model species. Semin. Cell Dev. Biol. 106, 1–4 (2020).
Google Scholar
Walls, G. L. The Vertebrate Eye and its Adaptive Radiation (Cranbrook Institute of Science, 1942).
Potier, S., Mitkus, M. & Kelber, A. Visual adaptations of diurnal and nocturnal raptors. Semin. Cell Dev. Biol. 106, 116–126 (2020).
Google Scholar
Baden, T., Schubert, T., Berens, P. & Euler, T. The functional organization of vertebrate retinal circuits for vision. Oxf. Res. Encycl. Neurosci. (2018).
Behrens, C. et al. Connectivity map of bipolar cells and photoreceptors in the mouse retina. eLife 5, 1206–1217 (2016).
Google Scholar
Goetz, J. et al. Unified classification of mouse retinal ganglion cells using function, morphology, and gene expression. Cell Rep. 40, 111040 (2022).
Google Scholar
Günther, A. et al. Double cones and the diverse connectivity of photoreceptors and bipolar cells in an avian retina. J. Neurosci. 41, 5015–5028 (2021).
Google Scholar
Collin, S. P. A web-based archive for topographic maps of retinal cell distribution in vertebrates. Clin. Exp. Optom. 91, 85–95 (2008).
Google Scholar
Mass, A. M. Visual field organization and retinal resolution in the beluga whale Delphinapterus leucas (Pallas). Dokl. Biol. Sci. 381, 555–558 (2001).
Google Scholar
Lisney, T. J., Wylie, D. R., Kolominsky, J. & Iwaniuk, A. N. Eye morphology and retinal topography in hummingbirds (Trochilidae: Aves). Brain Behav. Evol. 86, 176–190 (2015).
Google Scholar
Ali, M.-A. & Anctil, M. Retinas of Fishes: An Atlas (Springer, 1976).
de Busserolles, F., Fogg, L., Cortesi, F. & Marshall, J. The exceptional diversity of visual adaptations in deep-sea teleost fishes. Semin. Cell Dev. Biol. (2020).
Google Scholar
Bowmaker, J. K., Loew, E. R. & Ott, M. The cone photoreceptors and visual pigments of chameleons. J. Comp. Physiol. A (2005).
Google Scholar
Carleton, K. L., Escobar-Camacho, D., Stieb, S. M., Cortesi, F. & Justin Marshall, N. Seeing the rainbow: mechanisms underlying spectral sensitivity in teleost fishes. J. Exp. Biol. 223, jeb193334 (2020).
Google Scholar
Vorobyev, M. Ecology and evolution of primate colour vision. Clin. Exp. Optom. 87, 230–238 (2004).
Google Scholar
Stieb, S. M. et al. A detailed investigation of the visual system and visual ecology of the Barrier Reef anemonefish, Amphiprion akindynos. Sci. Rep. 9, 16459 (2019).
Google Scholar
Applebury, M. L. et al. The murine cone photoreceptor: a single cone type expresses both S and M opsins with retinal spatial patterning. Neuron 27, 513–523 (2000).
Google Scholar
Ricci, V., Ronco, F., Boileau, N. & Salzburger, W. Visual opsin gene expression evolution in the adaptive radiation of cichlid fishes of Lake Tanganyika. Sci. Adv. 9, eadg6568 (2023).
Google Scholar
Cortesi, F. et al. Visual system diversity in coral reef fishes. Semin. Cell Dev. Biol. (2020).
Google Scholar
Bloomfield, S. A. & Dacheux, R. F. Rod vision: pathways and processing in the mammalian retina. Prog. Retin. Eye Res. 20, 351–384 (2001).
Google Scholar
Li, Y. N., Tsujimura, T., Kawamura, S. & Dowling, J. E. Bipolar cell–photoreceptor connectivity in the zebrafish (Danio rerio) retina. J. Comp. Neurol. 520, 3786–3802 (2012).
Google Scholar
Hellevik, A. M. et al. Ancient origin of the rod bipolar cell pathway in the vertebrate retina. Preprint at bioRxiv (2023).
Mariani, A. P. Neuronal and synaptic organization of the outer plexiform layer of the pigeon retina. Am. J. Anat. 179, 25–39 (1987).
Google Scholar
Yamagata, M., Yan, W. & Sanes, J. R. A cell atlas of the chick retina based on single-cell transcriptomics. eLife 10, e63907 (2021).
Google Scholar
Hahn, J. et al. Evolution of neuronal cell classes and types in the vertebrate retina. Nature, (2023).
Haverkamp, S. et al. The primordial, blue-cone color system of the mouse retina. J. Neurosci. 25, 5438–5445 (2005).
Google Scholar
Tsukamoto, Y. & Omi, N. Classification of mouse retinal bipolar cells: type-specific connectivity with special reference to rod-driven aii amacrine pathways. Front. Neuroanat. 11, 92 (2017).
Google Scholar
Yoshimatsu, T., Schröder, C., Nevala, N. E., Berens, P. & Baden, T. Fovea-like photoreceptor specializations underlie single UV cone driven prey-capture behavior in zebrafish. Neuron 107, 320–337.e6 (2020).
Google Scholar
Zimmermann, M. J. Y. et al. Zebrafish differentially process color across visual space to match natural scenes. Curr. Biol. 28, 2018–2032.e5 (2018).
Google Scholar
Schröder, C., Oesterle, J., Berens, P., Yoshimatsu, T. & Baden, T. Distinct synaptic transfer functions in same-type photoreceptors. eLife 10, e67851 (2021).
Google Scholar
Novales Flamarique, I. Opsin switch reveals function of the ultraviolet cone in fish foraging. Proc. R. Soc. B 280, 20122490 (2012).
Google Scholar
Browman, H. I., Novales-Flamarique, I. & Hawryshyn, C. W. Ultraviolet photoreception contributes to prey search behaviour in two species of zooplanktivorous fishes. J. Exp. Biol. 186, 187–198 (1994).
Google Scholar
Orger, M. B. & Baier, H. Channeling of red and green cone inputs to the zebrafish optomotor response. Vis. Neurosci. 22, 275–281 (2005).
Google Scholar
Sinha, R. et al. Cellular and circuit mechanisms shaping the perceptual properties of the primate fovea. Cell 168, 413–426.e12 (2017).
Google Scholar
Baudin, J., Angueyra, J. M., Sinha, R. & Rieke, F. S-cone photoreceptors in the primate retina are functionally distinct from L and M cones. eLife 8, e39166 (2019).
Google Scholar
Packer, O. S., Verweij, J., Li, P. H., Schnapf, J. L. & Dacey, D. M. Blue–yellow opponency in primate S cone photoreceptors. J. Neurosci. 30, 568–572 (2010).
Google Scholar
Toomey, M. B. & Corbo, J. C. Evolution, development and function of vertebrate cone oil droplets. Front. Neural Circuits 11, 97 (2017).
Google Scholar
Kemmler, R., Schultz, K., Dedek, K., Euler, T. & Schubert, T. Differential regulation of cone calcium signals by different horizontal cell feedback mechanisms in the mouse retina. J. Neurosci. 34, 11826–11843 (2014).
Google Scholar
Yedutenko, M., Howlett, M. H. C. & Kamermans, M. Enhancing the dark side: asymmetric gain of cone photoreceptors underpins their discrimination of visual scenes based on skewness. J. Physiol. 600, 123–142 (2022).
Google Scholar
Kamermans, M., van Dijk, B. W. & Spekreijse, H. Color opponency in cone-driven horizontal cells in carp retina. Aspecific pathways between cones and horizontal cells. J. Gen. Physiol. 97, 819–843 (1991).
Google Scholar
Woźniak, B. & Dera, J. Light Absorption in Sea Water (Springer, 2006).
Nityananda, V. & Read, J. C. A. Stereopsis in animals: evolution, function and mechanisms. J. Exp. Biol. 220, 2502–2512 (2017).
Google Scholar
Yonas, A., Elieff, C. A. & Arterberry, M. E. Emergence of sensitivity to pictorial depth cues: charting development in individual infants. Infant Behav. Dev. 25, 495–514 (2002).
Google Scholar
Euler, T., Haverkamp, S., Schubert, T. & Baden, T. Retinal bipolar cells: elementary building blocks of vision. Nat. Rev. Neurosci. 15, 507–519 (2014).
Google Scholar
Bollmann, J. H. The zebrafish visual system: from circuits to behavior. Annu. Rev. Vis. Sci. 5, 269–293 (2019).
Google Scholar
Robles, E., Laurell, E. & Baier, H. The retinal projectome reveals brain-area-specific visual representations generated by ganglion cell diversity. Curr. Biol. 24, 2085–2096 (2014).
Google Scholar
Roska, B. & Werblin, F. Vertical interactions across ten parallel, stacked representations in the mammalian retina. Nature 410, 583–587 (2001).
Google Scholar
Bae, J. A. et al. Digital museum of retinal ganglion cells with dense anatomy and physiology. Cell 173, 1293–1306.e19 (2018).
Google Scholar
Kubo, F. et al. Functional architecture of an optic flow-responsive area that drives horizontal eye movements in zebrafish. Neuron 81, 1344–1359 (2014).
Google Scholar
Semmelhack, J. L. et al. A dedicated visual pathway for prey detection in larval zebrafish. eLife 3, e04878 (2014).
Google Scholar
Kölsch, Y. et al. Molecular classification of zebrafish retinal ganglion cells links genes to cell types to behavior. Neuron 109, 645–662.e9 (2020).
Google Scholar
Zhou, M. et al. Zebrafish retinal ganglion cells asymmetrically encode spectral and temporal information across visual space. Curr. Biol. 30, 2927–2942.e7 (2020).
Google Scholar
Lee, S. et al. An unconventional glutamatergic circuit in the retina formed by vGluT3 amacrine cells. Neuron 84, 708–715 (2014).
Google Scholar
Jacoby, J. & Schwartz, G. W. Three small-receptive-field ganglion cells in the mouse retina are distinctly tuned to size, speed, and object motion. J. Neurosci. 37, 610–625 (2017).
Google Scholar
Euler, T., Detwiler, P. B. & Denk, W. Directionally selective calcium signals in dendrites of starburst amacrine cells. Nature 418, 845–852 (2002).
Google Scholar
Briggman, K. L., Helmstaedter, M. & Denk, W. Wiring specificity in the direction-selectivity circuit of the retina. Nature 471, 183–188 (2011).
Google Scholar
Klaassen, L. J., de Graaff, W., Van Asselt, J. B., Klooster, J. & Kamermans, M. Specific connectivity between photoreceptors and horizontal cells in the zebrafish retina. J. Neurophysiol. 116, 2799–2814 (2016).
Google Scholar
Torvund, M. M., Ma, T. S., Connaughton, V. P., Ono, F. & Nelson, R. F. Cone signals in monostratified and bistratified amacrine cells of adult zebrafish retina. J. Comp. Neurol. 525, 1532–1557 (2017).
Google Scholar
Franke, K. et al. Inhibition decorrelates visual feature representations in the inner retina. Nature 542, 439–444 (2017).
Google Scholar
Masland, R. H. The tasks of amacrine cells. Vis. Neurosci. 29, 3–9 (2012).
Google Scholar
Rosa, J. M., Ruehle, S., Ding, H. & Lagnado, L. Crossover inhibition generates sustained visual responses in the inner retina. Neuron 90, 308–319 (2016).
Google Scholar
Fornetto, C., Tiso, N., Pavone, F. S. & Vanzi, F. Colored visual stimuli evoke spectrally tuned neuronal responses across the central nervous system of zebrafish larvae. BMC Biol. 18, 172 (2020).
Google Scholar
Guggiana Nilo, D. A., Riegler, C., Hübener, M. & Engert, F. Distributed chromatic processing at the interface between retina and brain in the larval zebrafish. Curr. Biol. 31, 1945–1953.e5 (2021).
Google Scholar
Menzel, R. in Comparative Physiology and Evolution of Vision in Invertebrates (ed. Autrum, H.) 503–580 (Springer, 1979).
Wade, N. J. & Brožek, J. Purkinje’s Vision: The Dawning of Neuroscience (Pyschology Press, 2001).
Arpa, S., Ritschel, T., Myszkowski, K., Çapın, T. & Seidel, H.-P. Purkinje images: conveying different content for different luminance adaptations in a single image. Comput. Graph. Forum 34, 116–126 (2015).
Google Scholar
Birukow, G. Purkinjesches Phänomen und Farbensehen beim Grasfrosch (Rana temporaria) 1. Z. Vgl. Physiol. 27, 41–79 (1939).
Google Scholar
Silver, P. H. Photopic spectral sensitivity of the neon tetra [Paracheirodon innesi (Myers)] found by the use of a dorsal light reaction. Vis. Res. 14, 329–334 (1974).
Google Scholar
Von Holst, E. Über den Lichtrückenreflex bei Fischen. Publ. Stat. Zool. Napoli 15, 143–158 (1935).
Preuss, T. & Budelmann, B. U. A dorsal light reflex in a squid. J. Exp. Biol. 198, 1157–1159 (1995).
Google Scholar
Brodsky, M. C. Dissociated vertical divergence: perceptual correlates of the human dorsal light reflex. Arch. Ophthalmol. 120, 1174–1178 (2002).
Google Scholar
Yager, D. Behavioural measures of the spectral sensitivity of the dark-adapted goldfish. Nature 220, 1052–1053 (1968).
Google Scholar
Alexander, E. et al. Optic flow in the natural habitats of zebrafish supports spatial biases in visual self-motion estimation. Curr. Biol. 32, 5008–5021.e8 (2022).
Google Scholar
Zhang, Y., Huang, R., Nörenberg, W. & Arrenberg, A. B. A robust receptive field code for optic flow detection and decomposition during self-motion. Curr. Biol. 32, 2505–2516.e8 (2022).
Google Scholar
Dehmelt, F. A. et al. Spherical arena reveals optokinetic response tuning to stimulus location, size, and frequency across entire visual field of larval zebrafish. eLife 10, e63355 (2021).
Google Scholar
Kretschmer, F., Ahlers, M. T., Ammermüller, J. & Kretzberg, J. Automated measurement of spectral sensitivity of motion vision during optokinetic behavior. Neurocomputing 84, 39–46 (2012).
Google Scholar
Moskowitz-Cook, A. The development of photopic spectral sensitivity in human infants. Vis. Res. 19, 1133–1142 (1979).
Google Scholar
Schaerer, S. Die Wellenlängenabhängigkeit des Bewegungssehens bei Goldfischen (Carassius auratus) und Schildkröten (Pseudemys scripta elegans) gemessen mit der optomotorischen Reaktion. PhD thesis, Univ. Mainz (1993).
Maximov, V. V. Environmental factors which may have led to the appearance of colour vision. Phil. Trans. R. Soc. B 355, 1239–1242 (2000).
Google Scholar
Borst, A. & Euler, T. Seeing things in motion: models, circuits, and mechanisms. Neuron 71, 974–994 (2011).
Google Scholar
Cameron, D. A. Mapping absorbance spectra, cone fractions, and neuronal mechanisms to photopic spectral sensitivity in the zebrafish. Vis. Neurosci. 19, 365–372 (2002).
Google Scholar
Losey, G. S. et al. The UV visual world of fishes: a review. J. Fish. Biol. 54, 921–943 (1999).
Google Scholar
Bianco, I. H., Kampff, A. R. & Engert, F. Prey capture behavior evoked by simple visual stimuli in larval zebrafish. Front. Syst. Neurosci. 5, 101 (2011).
Google Scholar
Janssen, J. Searching for zooplankton just outside Snell’s window. Limmol. Oceanogr. 26, 1168–1171 (1981).
Google Scholar
Mearns, D. S., Donovan, J. C., Fernandes, A. M., Semmelhack, J. L. & Baier, H. Deconstructing hunting behavior reveals a tightly coupled stimulus–response loop. Curr. Biol. 30, 54–69.e9 (2020).
Google Scholar
Schmitt, E. A. & Dowling, J. E. Early retinal development in the zebrafish, Danio rerio: light and electron microscopic analyses. J. Comp. Neurol. 404, 515–536 (1999).
Google Scholar
Novales Flamarique, I. Diminished foraging performance of a mutant zebrafish with reduced population of ultraviolet cones. Proc. R. Soc. B 283, 20160058 (2016).
Google Scholar
Burton, C. E., Zhou, Y., Bai, Q. & Burton, E. A. Spectral properties of the zebrafish visual motor response. Neurosci. Lett. 646, 62–67 (2017).
Google Scholar
Guggiana-Nilo, D. A. & Engert, F. Properties of the visible light phototaxis and UV avoidance behaviors in the larval zebrafish. Front. Behav. Neurosci. 10, 160 (2016).
Google Scholar
Kane, E. et al. Sensorimotor structure of Drosophila larva phototaxis. Proc. Natl Acad. Sci. USA (2013).
Verasztó, C. et al. Ciliary and rhabdomeric photoreceptor-cell circuits form a spectral depth gauge in marine zooplankton. eLife 7, e36440 (2018).
Google Scholar
Erwin, D. H. et al. The Cambrian conundrum: early divergence and later ecological success in the early history of animals. Science 334, 1091–1097 (2011).
Google Scholar
Muntz, W. R. A. Effectiveness of different colors of light in releasing positive phototactic behavior of frogs, and a possible function of the retinal projection to the diencephalon. J. Neurophysiol. 25, 712–720 (1962).
Google Scholar
Hailman, J. P. & Jaeger, R. G. Phototactic responses to spectrally dominant stimuli and use of colour vision by adult anuran amphibians: a comparative survey. Anim. Behav. 22, 757–795 (1974).
Google Scholar
Muntz, W. R. A., Partridge, J. C., Williams, S. R. & Jackson, C. Spectral sensitivity in the guppy (Poecilia reticulata) measured using the dorsal light response. Mar. Freshw. Behav. Physiol. 28, 163–176 (1996).
Google Scholar
Magaña-Hernández, L. et al. The functionally plastic rod photoreceptors in the simplex retina of little skate (Leucoraja erinacea) exhibit a hybrid rod–cone morphology and enhanced synaptic connectivity. Preprint at bioRxiv (2023).
Seifert, M., Roberts, P. A., Kafetzis, G., Osorio, D. A. & Baden, T. Birds multiplex spectral and temporal visual information via retinal On- and Off-channels. Nat. Commun. 14, 5308 (2023).
Google Scholar
Kojima, K. et al. Evolutionary adaptation of visual pigments in geckos for their photic environment. Sci. Adv. 7, eabj1316 (2021).
Google Scholar
Peng, Y.-R. et al. Molecular classification and comparative taxonomics of foveal and peripheral cells in primate retina. Cell 176, 1222–1237.e22 (2019).
Google Scholar
Field, G. D. et al. Functional connectivity in the retina at the resolution of photoreceptors. Nature 467, 673–677 (2010).
Google Scholar
Arrese, C. A., Hart, N. S., Thomas, N., Beazley, L. D. & Shand, J. Trichromacy in Australian marsupials. Curr. Biol. 12, 657–660 (2002).
Google Scholar
Ebeling, W., Natoli, R. C. & Hemmi, J. M. Diversity of color vision: not all Australian marsupials are trichromatic. PLoS ONE 5, e14231 (2010).
Google Scholar
Shu, D. G. et al. Head and backbone of the Early Cambrian vertebrate Haikouichthys. Nature 421, 526–529 (2003).
Google Scholar
Shu, D. G. et al. Lower Cambrian vertebrates from south China. Nature 402, 42–46 (1999).
Google Scholar
Briggs, D. E. G. Extraordinary fossils reveal the nature of Cambrian life: a commentary on Whittington (1975) ‘The enigmatic animal Opabinia regalis, Middle Cambrian, Burgess Shale, British Columbia’. Phil. Trans. R. Soc. B 370, 20140313 (2015).
Google Scholar
Daley, A. C. & Edgecombe, G. D. Morphology of Anomalocaris canadensis from the Burgess Shale. J. Paleontol. 88, 68–91 (2014).
Google Scholar
Brazeau, M. D. & Friedman, M. The origin and early phylogenetic history of jawed vertebrates. Nature 520, 490–497 (2015).
Google Scholar
Moysiuk, J. & Caron, J.-B. A three-eyed radiodont with fossilized neuroanatomy informs the origin of the arthropod head and segmentation. Curr. Biol. 32, 3302–3316.e2 (2022).
Google Scholar
Luque, J. et al. Evolution of crab eye structures and the utility of ommatidia morphology in resolving phylogeny. Preprint at bioRxiv (2019).
Alkaladi, A. & Zeil, J. Functional anatomy of the fiddler crab compound eye (Uca vomeris: Ocypodidae, Brachyura, Decapoda). J. Comp. Neurol. 522, 1264–1283 (2014).
Google Scholar
Didion, J. E. Spectral Sensitivity Underlying Two Different Visual Behaviors in the Fiddler Crab, Uca pugilator. PhD thesis, Univ. Cincinnati (2019).
Cronin, T. W. & Jinks, R. N. Ontogeny of vision in marine crustaceans. Am. Zool. 41, 1098–1107 (2001).
Cronin, T. W., Porter, M. L., Bok, M. J., Caldwell, R. L. & Marshall, J. Colour vision in stomatopod crustaceans. Phil. Trans. R. Soc. B 377, 20210278 (2022).
Google Scholar
Thoen, H. H., How, M. J., Chiou, T.-H. & Marshall, J. A different form of color vision in mantis shrimp. Science 343, 411–413 (2014).
Google Scholar
Arikawa, K. The eyes and vision of butterflies. J. Physiol. 595, 5457–5464 (2017).
Google Scholar
Schnaitmann, C., Pagni, M. & Reiff, D. F. Color vision in insects: insights from Drosophila. J. Comp. Physiol. A 206, 183–198 (2020).
Google Scholar
Feuda, R. et al. Phylogenomics of opsin genes in Diptera reveals lineage-specific events and contrasting evolutionary dynamics in Anopheles and Drosophila. Genome Biol. Evol. 13, evab170 (2021).
Google Scholar
Borst, A. & Groschner, L. N. How flies see motion. Annu. Rev. Neurosci. 46, 17–37 (2023).
Google Scholar
Longden, K. D., Rogers, E. M., Nern, A., Dionne, H. & Reiser, M. B. Different spectral sensitivities of ON- and OFF-motion pathways enhance the detection of approaching color objects in Drosophila. Nat. Commun. 14, 7695 (2023).
Google Scholar
Nilsson, D. E. The evolution of eyes and visually guided behaviour. Phil. Trans. R. Soc. B 364, 2833–2847 (2009).
Google Scholar
Buschbeck, E. & Bok, M. (eds) Distributed Vision: From Simple Sensors to Sophisticated Combination Eyes (Springer, 2023).
Hanke, F. D. & Osorio, D. C. Editorial: Vision in cephalopods. Front. Physiol. 9, 18 (2018).
Google Scholar