The DOI matches its Crossref record; 59 of the 59 references it cites were found in a registry or an index.
Functional Specialization of Seven Mouse Visual Cortical Areas
Open accessAbstract
SUMMARY To establish the mouse as a genetically-tractable model for high-order visual processing, we characterized fine-scale retinotopic organization of visual cortex, and determined functional specialization of layer 2/3 neuronal populations in seven retinotopically-identified areas. Each area contains a distinct visuotopic representation and encodes a unique combination of spatiotemporal features. Areas LM, AL, RL, and AM prefer up to three times faster temporal frequencies and significantly lower spatial frequencies than V1, while V1 and PM prefer high spatial and low temporal frequencies. LI prefers both high spatial and temporal frequencies. All extrastriate areas except LI increase orientation selectivity compared to V1, and three areas are significantly more direction selective (AL, RL, AM). Specific combinations of spatiotemporal representations further distinguish areas. These results reveal that mouse higher visual areas are functionally distinct, and separate groups of areas may be specialized for motion-related versus pattern-related computations perhaps forming pathways analogous to dorsal and ventral streams in other species.
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
Distributed hierarchical processing in the primate cerebral cortex
Felleman, D. J., & Van Essen, D. C. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1 · Cited by 7,783
Ungerleider, L. G. (1982) · Medical Entomology and Zoology · Cited by 4,531
Ingle, D., Goodale, M. A., & Mansfield, R. J. W. (1982) · The MIT Press eBooks · Cited by 4,118
Object vision and spatial vision: Two cortical pathways
Mishkin, M., Ungerleider, L. G., & Macko, K. A. (1983) · Trends in Neurosciences · doi:10.1016/0166-2236(83)90190-x · Cited by 2,947 · cited 2×
“Ne shown to depend on dorsal and ventral pathways in higher species (Mishkin et al., 1983).”
Borders of Multiple Visual Areas in Humans Revealed by Functional Magnetic Resonance Imaging
Sereno, M. I., Dale, A. M., Reppas, J. B., Kwong, K. K., Belliveau, J. W., Brady, T. J., Rosen, B. R., & Tootell, R. B. H. (1995) · Science · doi:10.1126/science.7754376 · Cited by 2,658
A new neural framework for visuospatial processing
Kravitz, D. J., Saleem, K. S., Baker, C. I., & Mishkin, M. (2011) · Nature Reviews Neuroscience · doi:10.1038/nrn3008 · Cited by 1,325
ScanImage: Flexible software for operating laser scanning microscopes
Pologruto, T. A., Sabatini, B. L., & Svoboda, K. (2003) · BioMedical Engineering OnLine · doi:10.1186/1475-925x-2-13 · Cited by 1,294
Visual Processing in Monkey Extrastriate Cortex
Maunsell, J. H. R., & Newsome, W. T. (1987) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.10.030187.002051 · Cited by 1,135
Highly selective receptive fields in mouse visual cortex
Niell, C. M., & Stryker, M. P. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.0623-08.2008 · Cited by 1,081
Parallel processing strategies of the primate visual system
Nassi, J. J., & Callaway, E. M. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2619 · Cited by 802
Self-citation
Cited by
Single-trial neural dynamics are dominated by richly varied movements
Musall, S., Kaufman, M. T., Juavinett, A. L., Gluf, S., & Churchland, A. K. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0502-4 · Cited by 1,075
Hierarchical organization of cortical and thalamic connectivity
Harris, J. A., Mihalas, S., Hirokawa, K. E., Whitesell, J. D., Choi, H., Bernard, A., Bohn, P., Caldejon, S., Casal, L., Cho, A., et al. (2019) · Nature · doi:10.1038/s41586-019-1716-z · Cited by 785
Cortical layer-specific critical dynamics triggering perception
Marshel, J. H., Kim, Y. S., Machado, T. A., Quirin, S., Benson, B., Kadmon, J., Raja, C., Chibukhchyan, A., Ramakrishnan, C., Inoue, M., et al. (2019) · Science · doi:10.1126/science.aaw5202 · Cited by 652
Self-citationDynamic Reorganization of Neuronal Activity Patterns in Parietal Cortex
Driscoll, L. N., Pettit, N. L., Minderer, M., Chettih, S. N., & Harvey, C. D. (2017) · Cell · doi:10.1016/j.cell.2017.07.021 · Cited by 445
Wang, Q., Sporns, O., & Burkhalter, A. (2012) · The Journal of Neuroscience · doi:10.1523/jneurosci.6063-11.2012 · Cited by 410
Metadata
- Authors
- Marshel, J. H., Garrett, M. E., Nauhaus, I., & Callaway, E. M.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2011-12
- Volume
- 72
- Issue
- 6
- Pages
- 1040-1054
- ISSN
- 0896-6273 (ISSN-L)
- OpenAlex
- W1988928031
- Cited by
- 472
- References
- 59
- FWCI
- 6.78
- 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: Functional Specialization of Seven Mouse Visual Cortical Areas. https://app.cochat.ai/papers/10.1016/j.neuron.2011.12.004
- The paper
- Marshel, J. H., Garrett, M. E., Nauhaus, I., & Callaway, E. M. (2011). Functional Specialization of Seven Mouse Visual Cortical Areas. Neuron. https://doi.org/10.1016/j.neuron.2011.12.004
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.