The DOI matches its Crossref record; 16 of the 16 references it cites were found in a registry or an index.
The functional architecture of the ventral temporal cortex and its role in categorization
Open accessAbstract
Visual categorization is thought to occur in the human ventral temporal cortex (VTC), but how this categorization is achieved is still largely unknown. In this Review, we consider the computations and representations that are necessary for categorization and examine how the microanatomical and macroanatomical layout of the VTC might optimize them to achieve rapid and flexible visual categorization. We propose that efficient categorization is achieved by organizing representations in a nested spatial hierarchy in the VTC. This spatial hierarchy serves as a neural infrastructure for the representational hierarchy of visual information in the VTC and thereby enables flexible access to category information at several levels of abstraction.
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
Receptive fields, binocular interaction and functional architecture in the cat’s visual cortex
Hubel, D. H., & Wiesel, T. N. (1962) · The Journal of Physiology · doi:10.1113/jphysiol.1962.sp006837 · Cited by 13,680
The perceptron: A probabilistic model for information storage and organization in the brain.
Rosenblatt, F. (1958) · Psychological Review · doi:10.1037/h0042519 · Cited by 12,280
The fusiform face area: a module in human extrastriate cortex specialized for face perception
Kanwisher, N., McDermott, J., & Chun, M. M. (1997) · The Journal of Neuroscience · doi:10.1523/jneurosci.17-11-04302.1997 · Cited by 7,738
Basic objects in natural categories
Rosch, E., Mervis, C. B., Gray, W. D., Johnson, D. M., & Boyes-Braem, P. (1976) · Cognitive Psychology · doi:10.1016/0010-0285(76)90013-x · Cited by 5,643
Speed of processing in the human visual system
Thorpe, S., Fize, D., & Marlot, C. (1996) · Nature · doi:10.1038/381520a0 · Cited by 3,538
Hierarchical models of object recognition in cortex
Riesenhuber, M., & Poggio, T. (1999) · Nature Neuroscience · doi:10.1038/14819 · Cited by 3,309
Information processing in the primate visual system: an integrated systems perspective
Van Essen, D. C., Anderson, C. H., & Felleman, D. J. (1992) · Science · doi:10.1126/science.1734518 · Cited by 1,266
The functional logic of cortical connections
Zeki, S., & Shipp, S. (1988) · Nature · doi:10.1038/335311a0 · Cited by 1,067
Cortical folding patterns and predicting cytoarchitecture
Fischl, B., Rajendran, N., Busa, E., Augustinack, J., Hinds, O., Yeo, B. T. T., Mohlberg, H., Amunts, K., & Zilles, K. (2008) · Cerebral Cortex · doi:10.1093/cercor/bhm225 · Cited by 737
Microstimulation of inferotemporal cortex influences face categorization
Afraz, S.-R., Kiani, R., & Esteky, H. (2006) · Nature · doi:10.1038/nature04982 · Cited by 363
Cited by
Neural correlates of consciousness: progress and problems
Koch, C., Massimini, M., Boly, M., & Tononi, G. (2016) · Nature Reviews Neuroscience · doi:10.1038/nrn.2016.22 · Cited by 1,600
Guclu, U., & van Gerven, M. A. J. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.5023-14.2015 · Cited by 961
Illiterate to literate: behavioural and cerebral changes induced by reading acquisition
Dehaene, S., Cohen, L., Morais, J., & Kolinsky, R. (2015) · Nature Reviews Neuroscience · doi:10.1038/nrn3924 · Cited by 716
The anatomical and functional specialization of the fusiform gyrus
Weiner, K. S., & Zilles, K. (2016) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.06.033 · Cited by 441
Self-citationRecurrence is required to capture the representational dynamics of the human visual system
Kietzmann, T. C., Spoerer, C. J., Sörensen, L. K. A., Cichy, R. M., Hauk, O., & Kriegeskorte, N. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1905544116 · Cited by 406
Metadata
- Authors
- Grill-Spector, K., & Weiner, K. S.
- Venue
- Nature Reviews Neuroscience
- Published
- 2014-06-25
- Volume
- 15
- Issue
- 8
- Pages
- 536-548
- ISSN
- 1471-003X (ISSN-L)
- 1471-0048
- OpenAlex
- W2003386556
- Cited by
- 837
- References
- 16
- FWCI
- 4.07
- Type
- journal article
- Language
- en
- Open access
- green
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 functional architecture of the ventral temporal cortex and its role in categorization. https://app.cochat.ai/papers/10.1038/nrn3747
- The paper
- Grill-Spector, K., & Weiner, K. S. (2014). The functional architecture of the ventral temporal cortex and its role in categorization. Nature Reviews Neuroscience. https://doi.org/10.1038/nrn3747
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.