The DOI matches its Crossref record; 174 of the 179 references it cites were found in a registry or an index.
Visual field maps in human cortex.
Open accessAbstract
Much of the visual cortex is organized into visual field maps: nearby neurons have receptive fields at nearby locations in the image. Mammalian species generally have multiple visual field maps with each species having similar, but not identical, maps. The introduction of functional magnetic resonance imaging made it possible to identify visual field maps in human cortex, including several near (1) medial occipital (V1,V2,V3), (2) lateral occipital (LO-1,LO-2, hMT+), (3) ventral occipital (hV4, VO-1, VO-2), (4) dorsal occipital (V3A, V3B), and (5) posterior parietal cortex (IPS-0 to IPS-4). Evidence is accumulating for additional maps, including some in the frontal lobe. Cortical maps are arranged into clusters in which several maps have parallel eccentricity representations, while the angular representations within a cluster alternate in visual field sign. Visual field maps have been linked to functional and perceptual properties of the visual system at various spatial scales, ranging from the level of individual maps to map clusters to dorsal-ventral streams. We survey recent measurements of human visual field maps, describe hypotheses about the function and relationships between maps, and consider methods to improve map measurements and characterize the response properties of neurons comprising these maps.
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“It is likely that the developmental changes we document in the LOTS reflect increased sensitivity to visual inputs delivered through neighboring ventral visual areas such as hV4, VO1, and VO2 (Ben-Shachar et al., 2007; Wandell, Dumoulin, & Brewer, 2007).”
From The Development of Cortical Sensitivity to Visual Word Forms (2011) · cites this paper as Wandell et al., 2007
In the citing paper
“Hence, the circuits here provide no explanation for observed cortical maps [70],[71].”
From Towards a mathematical theory of cortical micro-circuits (2009) · cites this paper as [70]
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Cites
Distributed hierarchical processing in the primate cerebral cortex
Felleman, D. J., & Van Essen, D. C. (1991) · Cerebral Cortex · doi:10.1093/cercor/1.1.1 · Cited by 7,783
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
Separate visual pathways for perception and action
Goodale, M. A., & Milner, A. D. (1992) · Trends in Neurosciences · doi:10.1016/0166-2236(92)90344-8 · Cited by 6,519
Measuring the thickness of the human cerebral cortex from magnetic resonance images
Fischl, B. R., & Dale, A. M. (2000) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.200033797 · Cited by 5,995
Ungerleider, L. G. (1982) · Medical Entomology and Zoology · Cited by 4,531
Ingle, D., Goodale, M. A., & Mansfield, R. J. W. (1982) · The MIT Press eBooks · Cited by 4,118
Ogawa, S., Tank, D. W., Menon, R., Ellermann, J. M., Kim, S. G., Merkle, H., & Ugurbil, K. (1992) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.89.13.5951 · Cited by 3,681
Automatic 3D intersubject registration of MR volumetric data in standardized Talairach space
Collins, D. L., Neelin, P., Peters, T. M., & Evans, A. C. (1994) · Journal of Computer Assisted Tomography · doi:10.1097/00004728-199403000-00005 · Cited by 3,431 · cited 2×
“…varied, and methods for placing a brain within a stereotaxic coordinate system, such as Talairach (Talairach and Tournoux, 1988) or MNI space (Collins et al., 1994), rarely provide spatial certainty within half a centimeter (Di Russo et al., 2002; Iaria and Petrides, 2007; Thompson et al.,…”
Milner, A. D., & Goodale, M. A. (2002) · The MIT Press eBooks · doi:10.7551/mitpress/7111.003.0023 · Cited by 3,345
MAGOUN, H. N. (1965) · The Journal of Nervous and Mental Disease · doi:10.1097/00005053-196504000-00011 · Cited by 2,932
Research works printed but not linked: 2
- Talbot, 1940, Arrangement of visual field on cat's cortex, Am. J. Physiol., 129, 477
- Talbot, 1942, A lateral localization in the cat's visual cortex, Fed. Proc., 1, 84
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The organization of the human cerebral cortex estimated by intrinsic functional connectivity
Thomas Yeo, B. T., Krienen, F. M., Sepulcre, J., Sabuncu, M. R., Lashkari, D., Hollinshead, M., Roffman, J. L., Smoller, J. W., Zöllei, L., Polimeni, J. R., et al. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00338.2011 · Cited by 9,182
The organization of the human cerebellum estimated by intrinsic functional connectivity
Buckner, R. L., Krienen, F. M., Castellanos, A., Diaz, J. C., & Yeo, B. T. T. (2011) · Journal of Neurophysiology · doi:10.1152/jn.00339.2011 · Cited by 7,304
Local-global parcellation of the human cerebral cortex from intrinsic functional connectivity MRI
Schaefer, A., Kong, R., Gordon, E. M., Laumann, T. O., Zuo, X.-N., Holmes, A. J., Eickhoff, S. B., & Yeo, B. T. T. (2018) · Cerebral Cortex · doi:10.1093/cercor/bhx179 · Cited by 3,657
“Intriguingly, LO1 and LO2, which are in the same visual field map clusters (Wandell et al. 2007), appeared to be grouped together, although also fractionated, possibly also based on visual eccentricity organization (c.”
BackgroundIdentifying natural images from human brain activity
Kay, K., Naselaris, T., Prenger, R., & Gallant, J. L. (2008) · Nature · doi:10.1038/nature06713 · Cited by 1,272
The ventral visual pathway: an expanded neural framework for the processing of object quality
Kravitz, D. J., Saleem, K. S., Baker, C. I., Ungerleider, L. G., & Mishkin, M. (2012) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2012.10.011 · Cited by 1,204
Metadata
- Authors
- Wandell, B. A., Dumoulin, S. O., & Brewer, A. A.
- Affiliations
- Stanford University (US)
- University of California, Irvine (US)
- Corresponding author
- Wandell, Brian A.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2007-10
- Volume
- 56
- Issue
- 2
- Pages
- 366-383
- ISSN
- 0896-6273 (ISSN-L)
- OpenAlex
- W2141073321
- Cited by
- 1,231
- References
- 179
- Citations by year
- 2026: 73 · 2025: 83 · 2024: 66 · 2023: 65 · 2022: 75 · 2021: 97 · 2020: 58 · 2019: 80 · 2018: 62 · 2017: 60 · 2016: 67 · 2015: 56 · 2014: 68 · 2013: 79 · 2012: 60
- FWCI
- 2.51
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 2152 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Neuron (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Larry L. Hillblom Foundation
- National Eye Institute (RO1 EY03164)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Face Recognition and Perception
- Physical Sciences › Computer Science › Computer Vision and Pattern Recognition › Visual Attention and Saliency Detection
- Keywords
- visual field maps, receptive fields, human visual cortex, lateral occipital cortex, posterior parietal cortex, functional MRI, visual system organization
- MeSH terms
- Animals, Brain Mapping, Humans, Magnetic Resonance Imaging, Models, Anatomic, Models, Neurological, Visual Cortex, Visual Fields
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