The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Orientation Selectivity without Orientation Maps in Visual Cortex of a Highly Visual Mammal
Open accessAbstract
In mammalian neocortex, the orderly arrangement of columns of neurons is thought to be a fundamental organizing principle. In primary visual cortex (V1), neurons respond preferentially to bars of a particular orientation, and, in many mammals, these orientation-selective cells are arranged in a semiregular, smoothly varying map across the cortical surface. Curiously, orientation maps have not been found in rodents or lagomorphs. To explore whether this lack of organization in previously studied rodents could be attributable to low visual acuity, poorly differentiated visual brain areas, or small absolute V1 size, we examined V1 organization of a larger, highly visual rodent, the gray squirrel. Using intrinsic signal optical imaging and single-cell recordings, we found no evidence of an orientation map, suggesting that formation of orientation maps depends on mechanisms not found in rodents. We did find robust orientation tuning of single cells, and this tuning was invariant to stimulus contrast. Therefore, it seems unlikely that orientation maps are important for orientation tuning or its contrast invariance in V1. In vertical electrode penetrations, we found little evidence for columnar organization of orientation-selective neurons and little evidence for local anisotropy of orientation preferences. We conclude that an orderly and columnar arrangement of functional response properties is not a universal characteristic of cortical architecture.
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
Shape and arrangement of columns in cat's striate cortex
Hubel, D. H., & Wiesel, T. N. (1963) · The Journal of Physiology · doi:10.1113/jphysiol.1963.sp007079 · Cited by 834
Orientation selectivity in the cat's striate cortex is invariant with stimulus contrast
Sclar, G., & Freeman, R. D. (1982) · Experimental Brain Research · doi:10.1007/bf00238641 · Cited by 339
Skottun, B. C., Bradley, A., Sclar, G., Ohzawa, I., & Freeman, R. D. (1987) · Journal of Neurophysiology · doi:10.1152/jn.1987.57.3.773 · Cited by 298
Cited by
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
Broadly tuned response properties of diverse inhibitory neuron subtypes in mouse visual cortex
Kerlin, A. M., Andermann, M. L., Berezovskii, V. K., & Reid, R. C. (2010) · Neuron · doi:10.1016/j.neuron.2010.08.002 · Cited by 613
Sparse Representation of Sounds in the Unanesthetized Auditory Cortex
Hromádka, T., DeWeese, M. R., & Zador, A. M. (2008) · PLoS Biology · doi:10.1371/journal.pbio.0060016 · Cited by 579
Neural elements for predictive coding
Shipp, S. (2016) · Frontiers in Psychology · doi:10.3389/fpsyg.2016.01792 · Cited by 340
Grid cells and cortical representation
Moser, E. I., Roudi, Y., Witter, M. P., Kentros, C., Bonhoeffer, T., & Moser, M.-B. (2014) · Nature Reviews Neuroscience · doi:10.1038/nrn3766 · Cited by 335
Metadata
- Authors
- Van Hooser, S. D., Heimel, J. A. F., Chung, S., Nelson, S. B., & Toth, L. J.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2005-01-05
- Volume
- 25
- Issue
- 1
- Pages
- 19-28
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- OpenAlex
- W2143886954
- Cited by
- 183
- References
- 3
- FWCI
- 5.14
- Type
- journal article
- Language
- en
- Open access
- hybrid
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: Orientation Selectivity without Orientation Maps in Visual Cortex of a Highly Visual Mammal. https://app.cochat.ai/papers/10.1523/jneurosci.4042-04.2005
- The paper
- Van Hooser, S. D., Heimel, J. A. F., Chung, S., Nelson, S. B., & Toth, L. J. (2005). Orientation Selectivity without Orientation Maps in Visual Cortex of a Highly Visual Mammal. The Journal of Neuroscience. https://doi.org/10.1523/jneurosci.4042-04.2005
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.