Understanding the retinal basis of vision across species

Baden, Tom; Euler, Thomas; Berens, Philipp

doi:10.1038/s41583-019-0242-1

Cited by 253 publications

(246 citation statements)

References 233 publications

(247 reference statements)

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“…Together, this functional overview strongly suggests that (1) information received across the four different wavebands of light are used in distinct ways to support vision, and (2) their use varies strongly across position in the visual field (Baden et al, 2020) (see Discussion). To further explore how spectral information might serve zebrafish vision at the level of the retina's output we next assessed RGC responses for spectral opponency.…”

Section: Figure 4 | Major Functional Response Trends Across the Eye Amentioning

confidence: 82%

“…We have shown that the structure, organisation and function of larval zebrafish RGC circuits depends strongly on their position in the eyepresumably to meet visuo-ecological and behavioural demands in their natural visual world (Baden et al, 2020). For example, the localised presence of sustained UV-On RGCs in the SZ (Figs.…”

Section: Discussionmentioning

confidence: 99%

“…If this regional relative reduction in AC numbers also results in a relative reduction amongst inhibitory synapses remains untested. Conceptually reminiscent, a reduced inhibitory tone in the primate fovea is thought to aid signal-to-noise in low-convergence circuits (Baden et al, 2020;Sinha et al, 2017). In view of their need to process the signal from small numbers of cones for visual prey detection (Yoshimatsu et al, 2019), larval zebrafish RGCs might also be expected to benefit from a low-inhibition arrangement in their SZ.…”

Section: The Density Of Rgcs But Not Of Acs Is Locally Increased Inmentioning

confidence: 99%

“…Through a mosaic arrangement of an RGC type across the retinal surface this information can then be transmitted for all of visual space. However, what exactly all these features are (Baden et al, 2016;Vlasits et al, 2019;Wässle, 2004), and to what extent their structure and function is truly homogeneous over the retinal surface to meet the demands of an animal's species-specific visual ecology (Bleckert et al, 2014;Sabbah et al, 2017;Sinha et al, 2017;Szatko et al, 2019;Warwick et al, 2018) remains an area of active research (Baden et al, 2020). Moreover, directly linking RGC types to specific visual behaviours remains a central challenge in vision science (Baden et al, 2020;Lettvin et al, 1959).…”

Section: Introductionmentioning

confidence: 99%

“…First, zebrafish have a large field of view that lets them simultaneously survey the overhead sky and the riverbed beneath them (Bianco et al, 2011;Patterson et al, 2013;Zimmermann et al, 2018). These parts of visual space have vastly different behavioural relevance, as well as distinct spatial, temporal and spectral statistics (Baden et al, 2020;Engeszer et al, 2007;Nevala and Baden, 2019;Parichy, 2015;Zimmermann et al, 2018). For efficient coding (Attneave, 1954;Barlow, 1961;Simoncelli and Olshausen, 2001) zebrafish should therefore invest in different sets of functional RGC types to support different aspects of vision across their retinal surface.…”

Section: Introductionmentioning

confidence: 99%

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What the Zebrafish’s Eye Tells the Zebrafish’s Brain: Retinal Ganglion Cells for Prey Capture and Colour Vision

Zhou

Bear

Roberts

et al. 2020

Preprint

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In vertebrate vision, the tetrachromatic larval zebrafish permits non-invasive monitoring and manipulating of neural activity across the nervous system in vivo during ongoing behaviour. However, despite a perhaps unparalleled understanding of links between zebrafish brain circuits and visual behaviours, comparatively little is known about what their eyes send to the brain in the first place via retinal ganglion cells (RGCs). Major gaps in knowledge include any information on spectral coding, and information on potentially critical variations in RGC properties across the retinal surface to acknowledge asymmetries in the statistics of natural visual space and behavioural demands.Here, we use in vivo two photon (2P) imaging during hyperspectral visual stimulation as well as photolabeling of RGCs to provide the first eye-wide functional and anatomical census of RGCs in larval zebrafish.We find that RGCs' functional and structural properties differ across the eye and include a notable population of UV-responsive On-sustained RGCs that are only found in the acute zone, likely to support visual prey capture of UV-bright zooplankton. Next, approximately half of RGCs display diverse forms of colour opponency -long in excess of what would be required to satisfy traditional models of colour vision. However, most information on spectral contrast was intermixed with temporal information. To consolidate this series of unexpected findings, we propose that zebrafish may use a novel "dual-achromatic" strategy segregated by a spectrally intermediate background subtraction system. Specifically, our data is consistent with a model where traditional achromatic image-forming vision is mainly driven by longwavelength sensitive circuits, while in parallel UV-sensitive circuits serve a second achromatic system of foreground-vision that serves prey capture and, potentially, predator evasion.

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Section: Figure 4 | Major Functional Response Trends Across the Eye Amentioning

confidence: 82%

Section: Discussionmentioning

confidence: 99%

Section: The Density Of Rgcs But Not Of Acs Is Locally Increased Inmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

What the Zebrafish’s Eye Tells the Zebrafish’s Brain: Retinal Ganglion Cells for Prey Capture and Colour Vision

Zhou

Bear

Roberts

et al. 2020

Preprint

Self Cite

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A Spiking Artificial Vision Architecture Based on Fully Emulating the Human Vision

Wu,

Deng,

et al. 2024

Advanced Materials

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Intelligent vision necessitates the deployment of detectors that are always‐on and low‐power, mirroring the continuous and uninterrupted responsiveness characteristic of human vision. Nonetheless, contemporary artificial vision systems attain this goal by the continuous processing of massive image frames and executing intricate algorithms, thereby expending substantial computational power and energy. In contrast, biological data processing, based on event‐triggered spiking, has higher efficiency and lower energy consumption. Here, we propose an artificial vision architecture consisting of spiking photodetectors and artificial synapses, closely mirroring the intricacies of the human visual system. Distinct from previously reported techniques, the photodetector is self‐powered and event‐triggered, outputting light‐modulated spiking signals directly, thereby fulfilling the imperative for always‐on with low‐power consumption. With the spiking signals processing through the integrated synapse units, recognition of graphics, gestures, and human action has been implemented, illustrating the potent image processing capabilities inherent within this architecture. The results prove the 90% accuracy rate in human action recognition within a mere 5 epochs utilizing a rudimentary artificial neural network. This novel architecture, grounded in spiking photodetectors, offers a viable alternative to the extant models of always‐on low‐power artificial vision system.This article is protected by copyright. All rights reserved

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Inspiration from Visual Ecology for Advancing Multifunctional Robotic Vision Systems: Bio‐inspired Electronic Eyes and Neuromorphic Image Sensors

Choi,

Lee,

Chang

et al. 2024

Advanced Materials

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In robotics, particularly for autonomous navigation and human–robot collaboration, the significance of unconventional imaging techniques and efficient data processing capabilities is paramount. The unstructured environments encountered by robots, coupled with complex missions assigned to them, present numerous challenges necessitating diverse visual functionalities, and consequently, the development of multifunctional robotic vision systems has become indispensable. Meanwhile, rich diversity inherent in animal vision systems, honed over evolutionary epochs to meet their survival demands across varied habitats, serves as a profound source of inspirations. Here, recent advancements in multifunctional robotic vision systems drawing inspiration from natural ocular structures and their visual perception mechanisms are delineated. First, unique imaging functionalities of natural eyes across terrestrial, aerial, and aquatic habitats and visual signal processing mechanism of humans are explored. Then, designs and functionalities of bio‐inspired electronic eyes are explored, engineered to mimic key components and underlying optical principles of natural eyes. Furthermore, neuromorphic image sensors are discussed, emulating functional properties of synapses, neurons, and retinas and thereby enhancing accuracy and efficiency of robotic vision tasks. Next, integration examples of electronic eyes with mobile robotic/biological systems are introduced. Finally, a forward‐looking outlook on the development of bio‐inspired electronic eyes and neuromorphic image sensors is provided.

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Understanding the retinal basis of vision across species

Cited by 253 publications

References 233 publications

What the Zebrafish’s Eye Tells the Zebrafish’s Brain: Retinal Ganglion Cells for Prey Capture and Colour Vision

What the Zebrafish’s Eye Tells the Zebrafish’s Brain: Retinal Ganglion Cells for Prey Capture and Colour Vision

A Spiking Artificial Vision Architecture Based on Fully Emulating the Human Vision

Inspiration from Visual Ecology for Advancing Multifunctional Robotic Vision Systems: Bio‐inspired Electronic Eyes and Neuromorphic Image Sensors

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