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Visual Space Is Represented by Nonmatching Topographies of Distinct Mouse Retinal Ganglion Cell Types
Open accessAbstract
The distributions of neurons in sensory circuits display ordered spatial patterns arranged to enhance or encode specific regions or features of the external environment. Indeed, visual space is not sampled uniformly across the vertebrate retina. Retinal ganglion cell (RGC) density increases and dendritic arbor size decreases toward retinal locations with higher sampling frequency, such as the fovea in primates and area centralis in carnivores [1]. In these locations, higher acuity at the level of individual cells is obtained because the receptive field center of a RGC corresponds approximately to the spatial extent of its dendritic arbor [2, 3]. For most species, structurally and functionally distinct RGC types appear to have similar topographies, collectively scaling their cell densities and arbor sizes toward the same retinal location [4]. Thus, visual space is represented across the retina in parallel by multiple distinct circuits [5]. In contrast, we find a population of mouse RGCs, known as alpha or alpha-like [6], that displays a nasal-to-temporal gradient in cell density, size, and receptive fields, which facilitates enhanced visual sampling in frontal visual fields. The distribution of alpha-like RGCs contrasts with other known mouse RGC types and suggests that, unlike most mammals, RGC topographies in mice are arranged to sample space differentially.
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“The antibody SMI-32, which recognizes non-phosphorylated neurofilament heavy chain, was used to identify alpha RGC characterized by strongly labeled somata and large dendritic arbors [36].”
From AMPK hyperactivation promotes dendrite retraction, synaptic loss, and neuronal dysfunction in glaucoma (2021) · cites this paper as [36]
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Metadata
- Authors
- Bleckert, A., Schwartz, G. W., Turner, M. H., Rieke, F., & Wong, R. O. L.
- Affiliations
- University of Washington (US)
- Howard Hughes Medical Institute (US)
- Corresponding author
- Wong, Rachel O.L.
- Venue
- Current Biology
- Publisher
- Elsevier BV
- Published
- 2014-02
- Volume
- 24
- Issue
- 3
- Pages
- 310-315
- ISSN
- 0960-9822 (ISSN-L)
- PMC
- PMC3990865
- OpenAlex
- W2031675933
- Cited by
- 244
- References
- 52
- Citations by year
- 2026: 7 · 2025: 17 · 2024: 27 · 2023: 14 · 2022: 25 · 2021: 27 · 2020: 24 · 2019: 18 · 2018: 22 · 2017: 20 · 2016: 16 · 2015: 13 · 2014: 14
- FWCI
- 11.72
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- Locations
- Current Biology (publishedVersion)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Funders
- National Institutes of Health (5t32gm007108-40)
- National Eye Institute (R01EY010699, EY-07031, F32EY007031, R01EY011850, T32EY007031)
- National Institute of General Medical Sciences (5 T32-GM07108, T32GM-007108)
- Eunice Kennedy Shriver National Institute of Child Health and Human Development (T32HD007183)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Health Sciences › Medicine › Ophthalmology › Retinal Development and Disorders
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- retinal ganglion cells, retinal topography, visual representation of space, cell density, receptive fields, mouse retina, visual sampling
- MeSH terms
- Animals, Cell Count, Immunohistochemistry, Mice, Transgenic, Retinal Ganglion Cells, Visual Perception, Mice
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.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
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