The DOI matches its Crossref record.
Macaque inferior temporal neurons are selective for disparity-defined three-dimensional shapes
Open accessAbstract
Real-world objects are three-dimensional (3D). Yet, it is unknown whether the neurons of the inferior temporal cortex, which is critical for object recognition, are selective for the 3D shape of objects. We tested for such selectivity by comparing responses to stereo-defined curved 3D shapes derived from identical pairs of monocular images. More than one-third of macaque inferior temporal neurons were selective for 3D shape. In the vast majority of those neurons, this selectivity depended on the global binocular disparity gradient and not on the local disparity. Thus, inferior temporal cortex processes not only two-dimensional but also 3D shape information.
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
Cited by
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
Computational Neuroscience of Vision
Rolls, E., & Deco, G. (2001) · doi:10.1093/acprof:oso/9780198524885.001.0001 · Cited by 553
Population coding of shape in area V4
Pasupathy, A., & Connor, C. E. (2002) · Nature Neuroscience · doi:10.1038/972 · Cited by 552
Shape Representation in Area V4: Position-Specific Tuning for Boundary Conformation
Pasupathy, A., & Connor, C. E. (2001) · Journal of Neurophysiology · doi:10.1152/jn.2001.86.5.2505 · Cited by 483
Norman, J. (2002) · Behavioral and Brain Sciences · doi:10.1017/s0140525x0200002x · Cited by 466
Metadata
- Authors
- Janssen, P., Vogels, R., & Orban, G. A.
- Venue
- Proceedings of the National Academy of Sciences
- Published
- 1999-07-06
- Volume
- 96
- Issue
- 14
- Pages
- 8217-8222
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- OpenAlex
- W2102624770
- Cited by
- 186
- References
- 0
- FWCI
- 8.55
- 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: Macaque inferior temporal neurons are selective for disparity-defined three-dimensional shapes. https://app.cochat.ai/papers/10.1073/pnas.96.14.8217
- The paper
- Janssen, P., Vogels, R., & Orban, G. A. (1999). Macaque inferior temporal neurons are selective for disparity-defined three-dimensional shapes. Proceedings of the National Academy of Sciences. https://doi.org/10.1073/pnas.96.14.8217
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.
