The DOI matches its Crossref record; 33 of the 33 references it cites were found in a registry or an index.
Distributed and Overlapping Representations of Faces and Objects in Ventral Temporal Cortex
Open accessAbstract
The functional architecture of the object vision pathway in the human brain was investigated using functional magnetic resonance imaging to measure patterns of response in ventral temporal cortex while subjects viewed faces, cats, five categories of man-made objects, and nonsense pictures. A distinct pattern of response was found for each stimulus category. The distinctiveness of the response to a given category was not due simply to the regions that responded maximally to that category, because the category being viewed also could be identified on the basis of the pattern of response when those regions were excluded from the analysis. Patterns of response that discriminated among all categories were found even within cortical regions that responded maximally to only one category. These results indicate that the representations of faces and objects in ventral temporal cortex are widely distributed and overlapping.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“The VWFA hypothesis was framed in the broader context of recent studies of functional specialization within the human ventral visual stream, in which have been identified several areas specialized for other classes of visual stimuli such as faces, places, or body parts (Downing et al., 2001; Hasson et al., 2003; Haxby et al., 2001; Kanwisher et al., 1997).”
From Specialization within the ventral stream: the case for the visual word form area (2004) · cites this paper as Haxby et al., 2001
In the citing paper
“Rather, the density of neurons activated during reading probably varies continuously, though nonrandomly, across the surface of the ventral occipitotemporal cortex, thus creating a landscape of local preference for various categories of objects (Hasson et al., 2002; Haxby et al., 2001).”
From Specialization within the ventral stream: the case for the visual word form area (2004) · cites this paper as Haxby et al., 2001
In the citing paper
“Therefore, at the scale accessible to human neuroimaging, most if not all of the cortical surface is likely to respond jointly to words, faces, and objects, with smooth but systematic changes in local selectivity (Haxby et al., 2001).”
From Specialization within the ventral stream: the case for the visual word form area (2004) · cites this paper as Haxby et al., 2001
Citations
Cites
1 retracted
Field-Induced Superconductivity in a Spin-Ladder Cuprate
Schön, J. H., Dorget, M., Beuran, F. C., et al. (2001) · Science · doi:10.1126/science.1064204 · Cited by 29
RetractedCo-Planar Stereotaxic Atlas of the Human Brain
Talairach, J., & Tournoux, P. (1988) · Medical Entomology and Zoology · Cited by 11,798
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
The distributed human neural system for face perception
Haxby, J. V., Hoffman, E. A., & Gobbini, M. I. (2000) · Trends in Cognitive Sciences · doi:10.1016/s1364-6613(00)01482-0 · Cited by 4,891
Self-citationA cortical representation of the local visual environment
Epstein, R. A., & Kanwisher, N. (1998) · Nature · doi:10.1038/33402 · Cited by 3,096
CATEGORY SPECIFIC SEMANTIC IMPAIRMENTS
Warrington, E. K., & Shallice, T. (1984) · Brain · doi:10.1093/brain/107.3.829 · Cited by 2,254
Visual properties of neurons in inferotemporal cortex of the Macaque.
Gross, C. G., Rocha‐Miranda, C. E., & Bender, D. B. (1972) · Journal of Neurophysiology · doi:10.1152/jn.1972.35.1.96 · Cited by 1,488
Expertise for cars and birds recruits brain areas involved in face recognition
Gauthier, I., Skudlarski, P., Gore, J. C., & Anderson, A. W. (2000) · Nature Neuroscience · doi:10.1038/72140 · Cited by 1,418
Inferotemporal cortex and object vision
Tanaka, K. (1996) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.19.030196.000545 · Cited by 1,402
Logothetis, N. K., & Sheinberg, D. L. (1996) · Annual Review of Neuroscience · doi:10.1146/annurev.ne.19.030196.003045 · Cited by 1,374
Research works printed but not linked: 4
- Supplemental data are available on Science Online at www.sciencemag.org/cgi/content/full/293/5539/2425/DC1.
- Biederman I., Psychol. Bull. 94, 115 (1987).
- J. V. Haxby J. M. Maisog S. M. Courtney in Mapping and Modeling the Human Brain P. Fox J. Lancaster K. Friston Eds. (Wiley New York in press).
- A. Martin L. G. Ungerleider J. V. Haxby in The New Cognitive Neurosciences M. S. Gazzaniga Ed. (MIT Press Cambridge MA 1999) pp. 1023–1036.
Cited by
Sorted by citations
Binder, J. R., Desai, R. H., Graves, W. W., & Conant, L. L. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhp055 · Cited by 4,060
fMRIPrep: A robust preprocessing pipeline for functional MRI
Esteban, O., Markiewicz, C. J., Blair, R. W., Moodie, C. A., Isik, A. I., Erramuzpe, A., Kent, J. D., Goncalves, M., DuPre, E., Snyder, M., et al. (2019) · Nature Methods · doi:10.1038/s41592-018-0235-4 · Cited by 3,905
Representational similarity analysis-connecting the branches of systems neuroscience
Kriegeskorte, N. (2008) · Frontiers in Systems Neuroscience · doi:10.3389/neuro.06.004.2008 · Cited by 3,355
Circular analysis in systems neuroscience: the dangers of double dipping
Kriegeskorte, N., Simmons, W. K., Bellgowan, P. S. F., & Baker, C. I. (2009) · Nature Neuroscience · doi:10.1038/nn.2303 · Cited by 2,696
The brain basis of emotion: a meta-analytic review
Lindquist, K. A., Wager, T. D., Kober, H., Bliss-Moreau, E., & Barrett, L. F. (2012) · Behavioral and Brain Sciences · doi:10.1017/s0140525x11000446 · Cited by 2,320
“…traditional neuroimaging techniques with methods that make more network-based assumptions about brain function (e.g., Multivoxel Pattern Analysis: Haxby et al. 2001; Multivariate Partial Least Squares Analysis: McIntosh et al. 1996) (see Schienle & Schafer [2009] for additional analysis…”
Method
Metadata
- Authors
- Haxby, J. V., Gobbini, M. I., Furey, M. L., Ishai, A., Schouten, J. L., & Pietrini, P.
- Affiliations
- National Institutes of Health (US)
- University of Pisa (IT)
- Corresponding author
- Haxby, James V.
- Venue
- Science
- Published
- 2001-09-28
- Volume
- 293
- Issue
- 5539
- Pages
- 2425-2430
- ISSN
- 0036-8075 (ISSN-L)
- 1095-9203
- OpenAlex
- W2089632738
- Cited by
- 3,940
- References
- 33
- Citations by year
- 2026: 109 · 2025: 153 · 2024: 136 · 2023: 155 · 2022: 155 · 2021: 179 · 2020: 199 · 2019: 194 · 2018: 246 · 2017: 224 · 2016: 209 · 2015: 205 · 2014: 218 · 2013: 202 · 2012: 192
- FWCI
- 27.42
- Type
- journal article
- Language
- en
- Open access
- green
- www.zora.uzh.ch
- Licence
- other-oa
- Locations
- Science (publishedVersion)
- PubMed (publishedVersion)
- Zurich Open Repository and Archive (University of Zurich) (acceptedVersion, other-oa)
- CINECA IRIS Institutial research information system (University of Pisa) (submittedVersion)
- Archivio istituzionale della ricerca (Alma Mater Studiorum Università di Bologna) (submittedVersion)
- Institutional Research Information System (Università degli Studi di Trento) (submittedVersion)
- Zurich Open Repository and Archive (University of Zurich) (submittedVersion, other-oa)
- Zurich Open Repository and Archive (University of Zurich)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Keywords
- face perception, object recognition, ventral temporal cortex, distributed representations, face-selective regions
- MeSH terms
- Brain Mapping, Face, Female, Form Perception, Humans, Magnetic Resonance Imaging, Male, Pattern Recognition, Visual, Temporal Lobe, Visual Pathways, Recognition, Psychology
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