The DOI matches its Crossref record; 17 of the 17 references it cites were found in a registry or an index.
Sparse Population Coding of Faces in the Inferotemporal Cortex
Abstract
How does the brain represent objects in the world? A proportion of cells in the temporal cortex of monkeys responds specifically to objects, such as faces, but the type of coding used by these cells is not known. Population analysis of two sets of such cells showed that information is carried at the level of the population and that this information relates, in the anterior inferotemporal cortex, to the physical properties of face stimuli and, in the superior temporal polysensory area, to other aspects of the faces, such as their familiarity. There was often sufficient information in small populations of neurons to identify particular faces. These results suggest that representations of complex stimuli in the higher visual areas may take the form of a sparse population code.
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
Neuronal Population Coding of Movement Direction
Georgopoulos, A. P., Schwartz, A. B., & Kettner, R. E. (1986) · Science · doi:10.1126/science.3749885 · Cited by 3,161
Georgopoulos, A., Kalaska, J., Caminiti, R., & Massey, J. (1982) · The Journal of Neuroscience · doi:10.1523/jneurosci.02-11-01527.1982 · Cited by 2,130
Integrative activity of the brain
Konorski, J. (1967) · University of Chicago Press eBooks · Cited by 2,043
Single Units and Sensation: A Neuron Doctrine for Perceptual Psychology?
Barlow, H. B. (1972) · Perception · doi:10.1068/p010371 · Cited by 1,730
Visual neurones responsive to faces in the monkey temporal cortex
Perrett, D. I., Rolls, E. T., & Caan, W. (1982) · Experimental Brain Research · doi:10.1007/bf00239352 · Cited by 1,385
Dynamic aspects of neocortical function
Edelman, G. M., Gall, W. E., & Cowan, W. M. (1984) · Wiley eBooks · Cited by 1,048
Mental Rotation of the Neuronal Population Vector
Georgopoulos, A. P., Lurito, J. T., Petrides, M., Schwartz, A. B., & Massey, J. T. (1989) · Science · doi:10.1126/science.2911737 · Cited by 907
Multidimensional Scaling, Tree-Fitting, and Clustering
Shepard, R. N. (1980) · Science · doi:10.1126/science.210.4468.390 · Cited by 726
Hasselmo, M. E., Rolls, E. T., & Baylis, G. C. (1989) · Behavioural Brain Research · doi:10.1016/s0166-4328(89)80054-3 · Cited by 657
Visual neurones responsive to faces
Perrett, D. I., Mistlin, A. J., & Chitty, A. J. (1987) · Trends in Neurosciences · doi:10.1016/0166-2236(87)90071-3 · Cited by 483
Cited by
A Global Geometric Framework for Nonlinear Dimensionality Reduction
Tenenbaum, J. B., Silva, V. D., & Langford, J. C. (2000) · Science · doi:10.1126/science.290.5500.2319 · Cited by 13,585
Mesulam, M. (1998) · Brain · doi:10.1093/brain/121.6.1013 · Cited by 3,072
Neuronal Synchrony: A Versatile Code for the Definition of Relations?
Singer, W. (1999) · Neuron · doi:10.1016/s0896-6273(00)80821-1 · Cited by 2,581
Social perception from visual cues: Role of the STS region
Allison, T., Puce, A., & McCarthy, G. (2000) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(00)01501-1 · Cited by 2,461
Invariant visual representation by single neurons in the human brain
Quiroga, R. Q., Reddy, L., Kreiman, G., Koch, C., & Fried, I. (2005) · Nature · doi:10.1038/nature03687 · Cited by 1,988
Metadata
- Authors
- Young, M. P., & Yamane, S.
- Venue
- Science
- Published
- 1992-05-29
- Volume
- 256
- Issue
- 5061
- Pages
- 1327-1331
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W1967087917
- Cited by
- 586
- References
- 17
- FWCI
- 18.78
- Type
- journal article
- Language
- en
- Open access
- closed
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: Sparse Population Coding of Faces in the Inferotemporal Cortex. https://app.cochat.ai/papers/10.1126/science.1598577
- The paper
- Young, M. P., & Yamane, S. (1992). Sparse Population Coding of Faces in the Inferotemporal Cortex. Science. https://doi.org/10.1126/science.1598577
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.