The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
The Neuronal Organization of the Retina
Open accessAbstract
The mammalian retina consists of neurons of >60 distinct types, each playing a specific role in processing visual images. They are arranged in three main stages. The first decomposes the outputs of the rod and cone photoreceptors into ~12 parallel information streams. The second connects these streams to specific types of retinal ganglion cells. The third combines bipolar and amacrine cell activity to create the diverse encodings of the visual world—roughly 20 of them—that the retina transmits to the brain. New transformations of the visual input continue to be found: at least half of the encodings sent to the brain (ganglion cell response selectivities) remain to be discovered. This diversity of the retina’s outputs has yet to be incorporated into our understanding of higher visual function.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
DISCHARGE PATTERNS AND FUNCTIONAL ORGANIZATION OF MAMMALIAN RETINA
Kuffler, S. W. (1953) · Journal of Neurophysiology · doi:10.1152/jn.1953.16.1.37 · Cited by 2,609
Serial Block-Face Scanning Electron Microscopy to Reconstruct Three-Dimensional Tissue Nanostructure
Denk, W., & Horstmann, H. (2004) · PLoS Biology · doi:10.1371/journal.pbio.0020329 · Cited by 1,644
Wiring specificity in the direction-selectivity circuit of the retina
Briggman, K. L., Helmstaedter, M., & Denk, W. (2011) · Nature · doi:10.1038/nature09818 · Cited by 883
Dynamic predictive coding by the retina
Hosoya, T., Baccus, S. A., & Meister, M. (2005) · Nature · doi:10.1038/nature03689 · Cited by 468
Receptive fields and trigger features of ganglion cells in the visual streak of the rabbit's retina
Levick, W. R. (1967) · The Journal of Physiology · doi:10.1113/jphysiol.1967.sp008140 · Cited by 384
The genetics of normal and defective color vision
Neitz, J., & Neitz, M. (2011) · Vision Research · doi:10.1016/j.visres.2010.12.002 · Cited by 377
The functions of acetylcholine in the rabbit retina
Masland, R. H., Mills, J. W., & Cassidy, C. (1984) · Proceedings of the Royal Society of London. Series B. Biological Sciences · doi:10.1098/rspb.1984.0086 · Cited by 200
Self-citationGenetic address book for retinal cell types
Siegert, S., Scherf, B. G., Del Punta, K., Didkovsky, N., Heintz, N., & Roska, B. (2009) · Nature Neuroscience · doi:10.1038/nn.2370 · Cited by 188
LiGluR restores visual responses in rodent models of inherited blindness
Caporale, N., Kolstad, K. D., Lee, T., Tochitsky, I., Dalkara, D., Trauner, D., Kramer, R., Dan, Y., Isacoff, E. Y., & Flannery, J. G. (2011) · Molecular Therapy · doi:10.1038/mt.2011.103 · Cited by 182
Cited by
Highly parallel genome-wide expression profiling of individual cells using nanoliter droplets.
Macosko, E. Z., Basu, A., Satija, R., Nemesh, J., Shekhar, K., Goldman, M., Tirosh, I., Bialas, A. R., Kamitaki, N., Martersteck, E. M., et al. (2015) · Cell · doi:10.1016/j.cell.2015.05.002 · Cited by 7,110
A mesoscale connectome of the mouse brain
Oh, S. W., Harris, J. A., Ng, L., Winslow, B., Cain, N., Mihalas, S., Wang, Q., Lau, C., Kuan, L., Henry, A. M., et al. (2014) · Nature · doi:10.1038/nature13186 · Cited by 2,612
The functional diversity of retinal ganglion cells in the mouse
Baden, T., Berens, P., Franke, K., Román Rosón, M., Bethge, M., & Euler, T. (2016) · Nature · doi:10.1038/nature16468 · Cited by 999
Connectomic reconstruction of the inner plexiform layer in the mouse retina
Helmstaedter, M., Briggman, K. L., Turaga, S. C., Jain, V., Seung, H. S., & Denk, W. (2013) · Nature · doi:10.1038/nature12346 · Cited by 997
Neuronal cell-type classification: challenges, opportunities and the path forward
Zeng, H., & Sanes, J. R. (2017) · Nature Reviews Neuroscience · doi:10.1038/nrn.2017.85 · Cited by 841
Metadata
- Authors
- Masland, R. H.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2012-10
- Volume
- 76
- Issue
- 2
- Pages
- 266-280
- ISSN
- 0896-6273 (ISSN-L)
- OpenAlex
- W2058483899
- Cited by
- 1,150
- References
- 9
- FWCI
- 25.79
- Type
- journal article
- Language
- en
- Open access
- bronze
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.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: The Neuronal Organization of the Retina. https://app.cochat.ai/papers/10.1016/j.neuron.2012.10.002
- The paper
- Masland, R. H. (2012). The Neuronal Organization of the Retina. Neuron. https://doi.org/10.1016/j.neuron.2012.10.002
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
