Eye Smarter than Scientists Believed: Neural Computations in Circuits of the Retina
Open accessAbstract
We rely on our visual system to cope with the vast barrage of incoming light patterns and to extract features from the scene that are relevant to our well-being. The necessary reduction of visual information already begins in the eye. In this review, we summarize recent progress in understanding the computations performed in the vertebrate retina and how they are implemented by the neural circuitry. A new picture emerges from these findings that helps resolve a vexing paradox between the retina's structure and function. Whereas the conventional wisdom treats the eye as a simple prefilter for visual images, it now appears that the retina solves a diverse set of specific tasks and provides the results explicitly to downstream brain areas.
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In nature, early-stage retinal processing has been observed, such as temporal filtering and motion-opponent channels, which compress information before being processed by the brain.
“In nature, early-stage retinal processing has also been observed, such as temporal filtering and motion-opponent channels (71–73), which compress information before being processed by the brain.”
From What if eye...? Computationally recreating vision evolution (2025) · cites this paper as [73]
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Retinal Adaptation to Object Motion
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Modeling convergent ON and OFF pathways in the early visual system
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Wu, M., Nern, A., Williamson, W. R., Morimoto, M. M., Reiser, M. B., Card, G. M., & Rubin, G. M. (2016) · eLife · doi:10.7554/elife.21022 · Cited by 304 · see citing works
From Whole-Brain Data to Functional Circuit Models: The Zebrafish Optomotor Response
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Learned spatiotemporal sequence recognition and prediction in primary visual cortex
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Control from below: the role of a midbrain network in spatial attention
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Neuronal Cell Types and Connectivity: Lessons from the Retina
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Retinal output changes qualitatively with every change in ambient illuminance
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Olfactory Sensing and Navigation in Turbulent Environments
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How diverse retinal functions arise from feedback at the first visual synapse
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Interpreting the retinal neural code for natural scenes: from computations to neurons
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“13 The accuracy of the prediction approached the limit of precision set by intrinsic neural variability, given the number of test trials (5–10), although this limit would increase with more trials.”
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A Neural Representation of Naturalistic Motion-Guided Behavior in the Zebrafish Brain
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Temporal vision: measures, mechanisms and meaning
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Functional organization of midget and parasol ganglion cells in the human retina
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Advances in neuroscience, not devices, will determine the effectiveness of visual prostheses
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Visual information processing through the interplay between fine and coarse signal pathways
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What if eye...? Computationally recreating vision evolution
Tiwary, K., Young, A., Tasneem, Z., Klinghoffer, T., Dave, A., Poggio, T., Nilsson, D.-E., Cheung, B., & Raskar, R. (2025) · Science Advances · doi:10.1126/sciadv.ady2888 · Cited by 4 · see citing works
“In nature, early-stage retinal processing has also been observed, such as temporal filtering and motion-opponent channels ( 71 – 73 ), which compress information before being processed by the brain.”
- Authors
- Gollisch, T., & Meister, M.
- Affiliations
- Bernstein Center for Computational Neuroscience Munich (DE)
- Harvard University (US)
- Corresponding author
- Meister, Markus
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2010-01
- Volume
- 65
- Issue
- 2
- Pages
- 150-164
- ISSN
- 0896-6273 (ISSN-L)
- PMC
- PMC3717333
- OpenAlex
- W2099616257
- Cited by
- 795
- References
- 139
- Citations by year
- 2026: 60 · 2025: 56 · 2024: 84 · 2023: 52 · 2022: 58 · 2021: 50 · 2020: 60 · 2019: 38 · 2018: 47 · 2017: 41 · 2016: 46 · 2015: 46 · 2014: 39 · 2013: 39 · 2012: 35
- FWCI
- 2.71
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 1293 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Neuron (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- CaltechAUTHORS (California Institute of Technology) (submittedVersion)
- Max Planck Institute for Plasma Physics (submittedVersion)
- Max Planck Digital Library (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Funders
- National Eye Institute
- Max-Planck-Gesellschaft
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Retinal Development and Disorders
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- retina, neural circuits, visual processing, vertebrate retina, visual feature extraction
- MeSH terms
- Workforce, Animals, Humans, Nerve Net, Neurology, Retina, Visual Pathways, Visual Perception, Computational Biology
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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