The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
3D shape perception from combined depth cues in human visual cortex
Abstract
Our perception of the world's three-dimensional (3D) structure is critical for object recognition, navigation and planning actions. To accomplish this, the brain combines different types of visual information about depth structure, but at present, the neural architecture mediating this combination remains largely unknown. Here, we report neuroimaging correlates of human 3D shape perception from the combination of two depth cues. We measured fMRI responses while observers judged the 3D structure of two sequentially presented images of slanted planes defined by binocular disparity and perspective. We compared the behavioral and fMRI responses evoked by changes in one or both of the depth cues. fMRI responses in extrastriate areas (hMT+/V5 and lateral occipital complex), rather than responses in early retinotopic areas, reflected differences in perceived 3D shape, suggesting 'combined-cue' representations in higher visual areas. These findings provide insight into the neural circuits engaged when the human brain combines different information sources for unified 3D visual perception.
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 networks relevant for the present task are those linking early retinotopic visual areas with dorsal and ventral extrastriate areas hMT+/V5 and LOC, associated with combined texture- and disparity-based representations of slant (26).”
From Fusion of visual cues is not mandatory in children (2010) · cites this paper as [26]
Citations
Cites
Advances in Neural Information Processing Systems 14
(2002) · The MIT Press eBooks · doi:10.7551/mitpress/1120.001.0001 · Cited by 9,187
Humans integrate visual and haptic information in a statistically optimal fashion
Ernst, M. O., & Banks, M. S. (2002) · Nature · doi:10.1038/415429a · Cited by 4,844
A direct demonstration of functional specialization in human visual cortex
Zeki, S., Watson, J. D. G., Lueck, C. J., Friston, K. J., Christopher Kennard, C., & Frackowiak, R. S. J. (1991) · Journal of Neuroscience · doi:10.1523/jneurosci.11-03-00641.1991 · Cited by 1,717
The lateral occipital complex and its role in object recognition
Kalanit Grill-spector, A., Kourtzi, Z., & Kanwisher, N. (2001) · Vision Research · doi:10.1016/s0042-6989(01)00073-6 · Cited by 1,492
Self-citationFunctional analysis of human MT and related visual cortical areas using magnetic resonance imaging
Tootell, R. B. H., Reppas, J. B., Kwong, K. K., Malach, R., Born, R. T., Brady, T., Rosen, B. R., & Belliveau, J. (1995) · Journal of Neuroscience · doi:10.1523/jneurosci.15-04-03215.1995 · Cited by 1,434
fMR-adaptation: a tool for studying the functional properties of human cortical neurons
Kalanit Grill-spector, A., & Malach, R. (2001) · Acta Psychologica · doi:10.1016/s0001-6918(01)00019-1 · Cited by 1,089
Measurement and modeling of depth cue combination: in defense of weak fusion
Landy, M. S., Maloney, L. T., Johnston, E. B., & Young, M. (1995) · Vision Research · doi:10.1016/0042-6989(94)00176-m · Cited by 996
Representation of Perceived Object Shape by the Human Lateral Occipital Complex
Kourtzi, Z., & Kanwisher, N. (2001) · Science · doi:10.1126/science.1061133 · Cited by 915
Self-citationData Fusion for Sensory Information Processing Systems
Clark, J. J., & Yuille, A. (1990) · Springer eBooks · doi:10.1007/978-1-4757-2076-1 · Cited by 519
Activity in primary visual cortex predicts performance in a visual detection task
Ress, D. B., Backus, B. T., & Heeger, D. J. (2000) · Nature Neuroscience · doi:10.1038/78856 · Cited by 516
Cited by
Sorted by citations
3-D Depth Reconstruction from a Single Still Image
Saxena, A., Chung, S. H., & Ng, A. Y. (2007) · International Journal of Computer Vision · doi:10.1007/s11263-007-0071-y · Cited by 600
Makin, T. R., Holmes, N. P., & Zohary, E. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.3653-06.2007 · Cited by 381
The status of augmented reality in laparoscopic surgery as of 2016
Bernhardt, S., Nicolau, S., Soler, L., & Doignon, C. (2017) · Medical Image Analysis · doi:10.1016/j.media.2017.01.007 · Cited by 315
Walking through Architectural Spaces: The Impact of Interior Forms on Human Brain Dynamics
Banaei, M., Hatami, J., Yazdanfar, A., & Gramann, K. (2017) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2017.00477 · Cited by 248
Groen, I. I. A., Silson, E. H., & Baker, C. I. (2017) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2016.0102 · Cited by 238
Metadata
- Authors
- Welchman, A. E., Deubelius, A., Conrad, V., Bülthoff, H. H., & Kourtzi, Z.
- Affiliations
- Max Planck Institute for Biological Cybernetics (DE)
- Corresponding author
- Kourtzi, Zoe
- Venue
- Nature Neuroscience
- Published
- 2005-05-01
- Volume
- 8
- Issue
- 6
- Pages
- 820-827
- ISSN
- 1097-6256 (ISSN-L)
- 1546-1726
- OpenAlex
- W2011429204
- Cited by
- 183
- References
- 50
- Citations by year
- 2026: 2 · 2025: 9 · 2024: 5 · 2023: 5 · 2022: 12 · 2021: 7 · 2020: 9 · 2019: 7 · 2018: 6 · 2017: 12 · 2016: 14 · 2015: 17 · 2014: 8 · 2013: 7 · 2012: 5
- FWCI
- 5.27
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Max Planck Institute for Plasma Physics (submittedVersion)
- University of Birmingham Research Portal (University of Birmingham) (submittedVersion)
- MPG.PuRe (Max Planck Society) (submittedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Advanced Vision and Imaging
- Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
- Keywords
- 3D shape perception, depth cues, binocular disparity, perspective, multisensory integration, visual cortex, hMT+/V5, lateral occipital complex, extrastriate cortex, depth perception
- MeSH terms
- Brain Mapping, Cues, Depth Perception, Humans, Magnetic Resonance Imaging, Orientation, Pattern Recognition, Visual, Photic Stimulation, Space Perception, Visual Cortex, Visual Pathways
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
