The functional architecture of the ventral temporal cortex and its role in categorization

Nature Reviews Neuroscience

Volumn 15, Issue 8, 2014, Pages 536-548

  Grill Spector, Kalanit ^a   Weiner, Kevin S ^a  

^a STANFORD UNIVERSITY   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

AGNOSIA; BINOCULAR CONVERGENCE; BRAIN MAPPING; CLASSIFICATION; CYTOARCHITECTURE; HUMAN; INFORMATION; MOTIVATION; NERVE CELL; OBJECT RELATION; PRIORITY JOURNAL; RECOGNITION; REVIEW; TEMPORAL CORTEX; VISION; VISUAL INFORMATION;

ANIMALS; HUMANS; MODELS, NEUROLOGICAL; PHOTIC STIMULATION; TEMPORAL LOBE; VISUAL PATHWAYS; VISUAL PERCEPTION;

EID: 84904550973     PISSN: 1471003X     EISSN: 14710048     Source Type: Journal    
DOI: 10.1038/nrn3747     Document Type: Review

References (148)

1. Thorpe, S., Fize, D. &Marlot, C. Speed of processing in the human visual system. Nature 381, 520-522 (1996).
2. Grill-Spector, K. &Kanwisher, N. Visual recognition: as soon as you know it is there, you know what it is. Psychol. Sci. 16, 152-160 (2005).
3. Ungerleider, L. G. &Mishkin, M. in Analysis of Visual Behaviour (eds Ingle, D. J., Goodale, M. A. &Mansfield, R. J. W.) 549-586 (MIT Press, 1982).
4. Tong, F., Nakayama, K., Vaughan, J. T. &Kanwisher, N. Binocular rivalry and visual awareness in human extrastriate cortex. Neuron 21, 753-759 (1998).
5. Grill-Spector, K., Kushnir, T., Hendler, T. &Malach, R. The dynamics of object-selective activation correlate with recognition performance in humans. Nature Neurosci. 3, 837-843 (2000).
6. Moutoussis, K. &Zeki, S. The relationship between cortical activation and perception investigated with invisible stimuli. Proc. Natl Acad. Sci. USA 99, 9527-9532 (2002).
7. Farah, M. J. Visual Agnoisa: Disorders of Object Recognition and What They Tell Us About Normal Vision (MIT Press, 1990).
8. Konen, C. S., Behrmann, M., Nishimura, M. &Kastner, S. The functional neuroanatomy of object agnosia: a case study. Neuron 71, 49-60 (2011).
9. Schiltz, C. et al. Impaired face discrimination in acquired prosopagnosia is associated with abnormal response to individual faces in the right middle fusiform gyrus. Cereb. Cortex 16, 574-586 (2006).
10. Rossion, B. et al. A network of occipito-temporal face-sensitive areas besides the right middle fusiform gyrus is necessary for normal face processing. Brain 126, 2381-2395 (2003).
11. Brewer, A. A., Liu, J., Wade, A. R. &Wandell, B. A. Visual field maps and stimulus selectivity in human ventral occipital cortex. Nature Neurosci. 8, 1102-1109 (2005).
12. Beauchamp, M. S., Haxby, J. V., Jennings, J. E. &DeYoe, E. A. An fMRI version of the Farnsworth- Munsell 100-Hue test reveals multiple colour-selective areas in human ventral occipitotemporal cortex. Cereb. Cortex 9, 257-263 (1999).
13. Murphey, D. K., Yoshor, D. &Beauchamp, M. S. Perception matches selectivity in the human anterior colour center. Curr. Biol. 18, 216-220 (2008).
14. Bouvier, S. E. &Engel, S. A. Behavioural deficits and cortical damage loci in cerebral achromatopsia. Cereb. Cortex 16, 183-191 (2006).
15. Hasson, U., Levy, I., Behrmann, M., Hendler, T. &Malach, R. Eccentricity bias as an organizing principle for human high-order object areas. Neuron 34, 479-490 (2002).
16. Behrmann, M. &Plaut, D. C. Distributed circuits, not circumscribed centers, mediate visual recognition. Trends Cogn. Sci. 17, 210-219 (2013).
17. Weiner, K. S. et al. The mid-fusiform sulcus: a landmark identifying both cytoarchitectonic and functional divisions of human ventral temporal cortex. Neuroimage 84, 453-465 (2014).
18. Arcaro, M. J., McMains, S. A., Singer, B. D. &Kastner, S. Retinotopic organization of human ventral visual cortex. J. Neurosci. 29, 10638-10652 (2009).
19. Kanwisher, N., McDermott, J. &Chun, M. M. The fusiform face area: a module in human extrastriate cortex specialized for face perception. J. Neurosci. 17, 4302-4311 (1997).
20. Epstein, R. &Kanwisher, N. A cortical representation of the local visual environment. Nature 392, 598-601 (1998).
21. McGugin, R. W., Gatenby, J. C., Gore, J. C. &Gauthier, I. High-resolution imaging of expertise reveals reliable object selectivity in the fusiform face area related to perceptual performance. Proc. Natl Acad. Sci. USA 109, 17063-17068 (2012).
22. Haxby, J. V. et al. Distributed and overlapping representations of faces and objects in ventral temporal cortex. Science 293, 2425-2430 (2001).
23. Kriegeskorte, N. et al. Matching categorical object representations in inferior temporal cortex of man and monkey. Neuron 60, 1126-1141 (2008).
24. Chao, L. L., Haxby, J. V. &Martin, A. Attribute-based neural substrates in temporal cortex for perceiving and knowing about objects. Nature Neurosci. 2, 913-919 (1999).
25. Cukur, T., Huth, A. G., Nishimoto, S. &Gallant, J. L. Functional subdomains within human FFA. J. Neurosci. 33, 16748-16766 (2013).
26. Huth, A. G., Nishimoto, S., Vu, A. T. &Gallant, J. L. A continuous semantic space describes the representation of thousands of object and action categories across the human brain. Neuron 76, 1210-1224 (2012).
27. Konkle, T. &Oliva, A. A real-world size organization of object responses in occipitotemporal cortex. Neuron 74, 1114-1124 (2012).
28. Caspers, J. et al. Cytoarchitectonical analysis and probabilistic mapping of two extrastriate areas of the human posterior fusiform gyrus. Brain Struct. Funct. 218, 511-526 (2013).
29. Caspers, J. et al. Receptor architecture of visual areas in the face and word-form recognition region of the posterior fusiform gyrus. Brain Struct. Funct. http://dx.doi.org/10.1007/s00429-013-0646-z (2013).
30. Saygin, Z. M. et al. Anatomical connectivity patterns predict face selectivity in the fusiform gyrus. Nature Neurosci. 15, 321-327 (2012).
31. Pyles, J. A., Verstynen, T. D., Schneider, W. &Tarr, M. J. Explicating the face perception network with white matter connectivity. PLoS ONE 8, e61611 (2013).
32. Gschwind, M., Pourtois, G., Schwartz, S., Van De Ville, D. &Vuilleumier, P. White-matter connectivity between face-responsive regions in the human brain. Cereb. Cortex 22, 1564-1576 (2012).
33. Nasr, S. et al. Scene-selective cortical regions in human and nonhuman primates. J. Neurosci. 31, 13771-13785 (2011).
34. Witthoft, N. et al. Where is human V4? Predicting the location of hV4 and VO1 from cortical folding. Cereb. Cortex http://dx.doi.org/10.1093/cercor/ bht092 (2013).
35. Marr, D. Vision: A Computational Approach (Freeman &Co., 1982).
36. Zeki, S. &Shipp, S. The functional logic of cortical connections. Nature 335, 311-317 (1988).
37. Van Essen, D. C., Anderson, C. H. &Felleman, D. J. Information processing in the primate visual system: an integrated systems perspective. Science 255, 419-423 (1992).
38. Ullman, S. High-Level Vision: Object Recognition and Visual Cognition (Bradford Books, 1996).
39. Selfridge, O. G. in Mechanisation of Thought Processes. Proceedings of a Symposium held at the National Physical Laboratory on 24th, 25th, 26th and 27th November 1958 Vol. 1 513-526 (H.M. Stationery Office, 1959).
40. Riesenhuber, M. &Poggio, T. Hierarchical models of object recognition in cortex. Nature Neurosci. 2, 1019-1025 (1999).
41. Serre, T., Oliva, A. &Poggio, T. A feedforward architecture accounts for rapid categorization. Proc. Natl Acad. Sci. USA 104, 6424-6429 (2007).
42. Fukushima, K. Neocognitron: a hierarchical neural network capable of visual pattern recognition. Neural Networks 1, 119-130 (1982).
43. Epshtein, B., Lifshitz, I. &Ullman, S. Image interpretation by a single bottom-up top-down cycle. Proc. Natl Acad. Sci. USA 105, 14298-14303 (2008).
44. Rosenblatt, F. The perceptron: a probabilistic model for information storage and organization in the brain. Psychol. Rev. 65, 386-408 (1958).
45. Vandewalle, J. &Suykens, J. A. K. Least squares support vector machine classifiers. Neural Process. Lett. 9, 293-300 (1999).
46. Edelman, S. &Duvdevani-Bar, S. A model of visual recognition and categorization. Phil. Trans. R. Soc. Lond. B 352, 1191-1202 (1997).
47. Poggio, T. &Girosi, F. Regularization algorithms for learning that are equivalent to multilayer networks. Science 247, 978-982 (1990).
48. Rust, N. C. &Dicarlo, J. J. Selectivity and tolerance ("invariance") both increase as visual information propagates from cortical area V4 to IT. J. Neurosci. 30, 12978-12995 (2010).
49. Rosch, E., Mervis, C. B., Gray, W. D., Johnson, D. M. &Boyes-Braem, P. Basic objects in natural categories. Cogn. Psychol. 8, 382-439 (1976).
50. Peelen, M. V. &Downing, P. E. Selectivity for the human body in the fusiform gyrus. J. Neurophysiol. 93, 603-608 (2005).
51. Cohen, L. et al. The visual word form area: spatial and temporal characterization of an initial stage of reading in normal subjects and posterior split-brain patients. Brain 123, 291-307 (2000).
52. Edelman, S., Grill-Spector, K., Kusnir, T. &Malach, R. Towards direct visualization of the internal shape space by fMRI. Psychobiology 26, 309-321 (1998).
53. Grill-Spector, K., Kushnir, T., Edelman, S., Itzchak, Y. &Malach, R. Cue-invariant activation in object-related areas of the human occipital lobe. Neuron 21, 191-202 (1998).
54. Mendola, J. D., Dale, A. M., Fischl, B., Liu, A. K. &Tootell, R. B. The representation of illusory and real contours in human cortical visual areas revealed by functional magnetic resonance imaging. J. Neurosci. 19, 8560-8572 (1999).
55. Kourtzi, Z. &Kanwisher, N. Representation of perceived object shape by the human lateral occipital complex. Science 293, 1506-1509 (2001).
56. Vinberg, J. &Grill-Spector, K. Representation of shapes, edges, and surfaces across multiple cues in the human visual cortex. J. Neurophysiol. 99, 1380-1393 (2008).
57. Avidan, G. et al. Contrast sensitivity in human visual areas and its relationship to object recognition. J. Neurophysiol. 87, 3102-3116 (2002).
58. Ishai, A., Ungerleider, L. G., Martin, A. &Haxby, J. V. The representation of objects in the human occipital and temporal cortex. J. Cogn. Neurosci. 12 (Suppl. 2), 35-51 (2000).
59. Spiridon, M. &Kanwisher, N. How distributed is visual category information in human occipito-temporal cortex? An fMRI study. Neuron 35, 1157-1165 (2002).
60. Walther, D. B., Chai, B., Caddigan, E., Beck, D. M. &Fei-Fei, L. Simple line drawings suffice for functional MRI decoding of natural scene categories. Proc. Natl Acad. Sci. USA 108, 9661-9666 (2011).
61. Grill-Spector, K., Knouf, N. &Kanwisher, N. The fusiform face area subserves face perception, not generic within-category identification. Nature Neurosci. 7, 555-562 (2004).
62. Grill-Spector, K. et al. Differential processing of objects under various viewing conditions in the human lateral occipital complex. Neuron 24, 187-203 (1999).
63. Schwarzlose, R. F., Swisher, J. D., Dang, S. &Kanwisher, N. The distribution of category and location information across object-selective regions in human visual cortex. Proc. Natl Acad. Sci. USA 105, 4447-4452 (2008).
64. Andrews, T. J. &Ewbank, M. P. Distinct representations for facial identity and changeable aspects of faces in the human temporal lobe. Neuroimage 23, 905-913 (2004).
65. MacEvoy, S. P. &Epstein, R. A. Position selectivity in scene- and object-responsive occipitotemporal regions. J. Neurophysiol. 98, 2089-2098 (2007).
66. Liu, H., Agam, Y., Madsen, J. R. &Kreiman, G. Timing, timing, timing: fast decoding of object information from intracranial field potentials in human visual cortex. Neuron 62, 281-290 (2009).
67. Kravitz, D. J., Kriegeskorte, N. &Baker, C. I. High-level visual object representations are constrained by position. Cereb. Cortex 20, 2916-2925 (2010).
68. Eger, E., Schyns, P. G. &Kleinschmidt, A. Scale invariant adaptation in fusiform face-responsive regions. Neuroimage 22, 232-242 (2004).
69. Vuilleumier, P., Henson, R. N., Driver, J. &Dolan, R. J. Multiple levels of visual object constancy revealed by event-related fMRI of repetition priming. Nature Neurosci. 5, 491-499 (2002).
70. Axelrod, V. &Yovel, G. Hierarchical processing of face viewpoint in human visual cortex. J. Neurosci. 32, 2442-2452 (2012).
71. Kietzmann, T. C., Swisher, J. D., Konig, P. &Tong, F. Prevalence of selectivity for mirror-symmetric views of faces in the ventral and dorsal visual pathways. J. Neurosci. 32, 11763-11772 (2012).
72. Freiwald, W. A. &Tsao, D. Y. Functional compartmentalization and viewpoint generalization within the macaque face-processing system. Science 330, 845-851 (2010).
73. Epstein, R., Graham, K. S. &Downing, P. E. Viewpoint-specific scene representations in human parahippocampal cortex. Neuron 37, 865-876 (2003).
74. Downing, P. E., Chan, A. W., Peelen, M. V., Dodds, C. M. &Kanwisher, N. Domain specificity in visual cortex. Cereb. Cortex 16, 1453-1461 (2006).
75. Mur, M. et al. Categorical, yet graded-single-image activation profiles of human category-selective cortical regions. J. Neurosci. 32, 8649-8662 (2012).
76. McCarthy, G., Puce, A., Belger, A. &Allison, T. Electrophysiological studies of human face perception. II: Response properties of face-specific potentials generated in occipitotemporal cortex. Cereb. Cortex 9, 431-444 (1999).
77. Davidesco, I. et al. Exemplar selectivity reflects perceptual similarities in the human fusiform cortex. Cereb. Cortex http://dx.doi.org/10. 1093/cercor/bht038 (2013).
78. Jacques, C. et al. Electrocorticography of category-selectivity in human ventral temporal cortex: spatial organization, responses to single images, and coupling with fMRI. J. Vision 13, 495 (2013).
79. Bastin, J. et al. Temporal components in the parahippocampal place area revealed by human intracerebral recordings. J. Neurosci. 33, 10123-10131 (2013).
80. Weiner, K. S. &Grill-Spector, K. Sparsely-distributed organization of face and limb activations in human ventral temporal cortex. Neuroimage 52, 1559-1573 (2010).
81. Sayres, R. &Grill-Spector, K. Relating retinotopic and object-selective responses in human lateral occipital cortex. J. Neurophysiol. 100, 249-267 (2008).
82. Walther, D. B., Caddigan, E., Fei-Fei, L. &Beck, D. M. Natural scene categories revealed in distributed patterns of activity in the human brain. J. Neurosci. 29, 10573-10581 (2009).
83. Haushofer, J., Livingstone, M. S. &Kanwisher, N. Multivariate patterns in object-selective cortex dissociate perceptual and physical shape similarity. PLoS Biol. 6, e187 (2008).
84. Drucker, D. M. &Aguirre, G. K. Different spatial scales of shape similarity representation in lateral and ventral LOC. Cereb. Cortex 19, 2269-2280 (2009).
85. Davidenko, N., Remus, D. A. &Grill-Spector, K. Face-likeness and image variability drive responses in human face-selective ventral regions. Hum. Brain Mapp. 33, 2234-2249 (2012).
86. O'Toole, A. J., Jiang, F., Abdi, H. &Haxby, J. V. Partially distributed representations of objects and faces in ventral temporal cortex. J. Cogn. Neurosci. 17, 580-590 (2005).
87. Connolly, A. C. et al. The representation of biological classes in the human brain. J. Neurosci. 32, 2608-2618 (2012).
88. Op de Beeck, H. P., Brants, M., Baeck, A. &Wagemans, J. Distributed subordinate specificity for bodies, faces, and buildings in human ventral visual cortex. Neuroimage 49, 3414-3425 (2010).
89. Orlov, T., Makin, T. R. &Zohary, E. Topographic representation of the human body in the occipitotemporal cortex. Neuron 68, 586-600 (2010).
90. Fujita, I., Tanaka, K., Ito, M. &Cheng, K. Columns for visual features of objects in monkey inferotemporal cortex. Nature 360, 343-346 (1992).
91. Adams, D. L., Sincich, L. C. &Horton, J. C. Complete pattern of ocular dominance columns in human primary visual cortex. J. Neurosci. 27, 10391-10403 (2007).
92. Mountcastle, V. B. Modality and topographic properties of single neurons of cat's somatic sensory cortex. J. Neurophysiol. 20, 408-434 (1957).
93. Tsao, D. Y., Freiwald, W. A., Tootell, R. B. &Livingstone, M. S. A cortical region consisting entirely of face-selective cells. Science 311, 670-674 (2006).
94. Engel, S. A. et al. fMRI of human visual cortex. Nature 369, 525 (1994).
95. Afraz, S. R., Kiani, R. &Esteky, H. Microstimulation of inferotemporal cortex influences face categorization. Nature 442, 692-695 (2006).
96. Parvizi, J. et al. Electrical stimulation of human fusiform face-selective regions distorts face perception. J. Neurosci. 32, 14915-14920 (2012).
97. Pinsk, M. A., DeSimone, K., Moore, T., Gross, C. G. &Kastner, S. Representations of faces and body parts in macaque temporal cortex: a functional MRI study. Proc. Natl Acad. Sci. USA 102, 6996-7001 (2005).
98. Bell, A. H. et al. Relationship between functional magnetic resonance imaging-identified regions and neuronal category selectivity. J. Neurosci. 31, 12229-12240 (2011).
99. Srihasam, K., Mandeville, J. B., Morocz, I. A., Sullivan, K. J. &Livingstone, M. S. Behavioural and anatomical consequences of early versus late symbol training in macaques. Neuron 73, 608-619 (2012).
100. Malach, R. et al. Object-related activity revealed by functional magnetic resonance imaging in human occipital cortex. Proc. Natl Acad. Sci. USA 92, 8135-8139 (1995).
101. Grill-Spector, K., Kourtzi, Z. &Kanwisher, N. The lateral occipital complex and its role in object recognition. Vision Res. 41, 1409-1422 (2001).
102. Issa, E. B., Papanastassiou, A. M. &DiCarlo, J. J. Large-scale, high-resolution neurophysiological maps underlying fMRI of macaque temporal lobe. J. Neurosci. 33, 15207-15219 (2013).
103. Weiner, K. S. &Grill-Spector, K. Not one extrastriate body area: using anatomical landmarks, hMT+, and visual field maps to parcellate limb-selective activations in human lateral occipitotemporal cortex. Neuroimage 56, 2183-2199 (2011).
104. Weiner, K. S., Sayres, R., Vinberg, J. &Grill-Spector, K. fMRI-adaptation and category selectivity in human ventral temporal cortex: regional differences across timescales. J. Neurophysiol. 103, 3349-3365 (2010).
105. Witthoft, N., Golarai, G., Nguyen, M., Liberman, A. &Grill-Spector, K. Anatomy, retinotopy, &category selectivity in human ventral visual cortex. J. Vision 12, 1177 (2012).
106. Hanson, S. J. &Schmidt, A. High-resolution imaging of the fusiform face area (FFA) using multivariate nonlinear classifiers shows diagnosticity for non-face categories. Neuroimage 54, 1715-1734 (2011).
107. Grill-Spector, K., Sayres, R. &Ress, D. High-resolution imaging reveals highly selective nonface clusters in the fusiform face area. Nature Neurosci. 9, 1177-1185 (2006).
108. Albright, T. D. Direction and orientation selectivity of neurons in visual area MT of the macaque. J. Neurophysiol. 52, 1106-1130 (1984).
109. Albright, T. D., Desimone, R. &Gross, C. G. Columnar organization of directionally selective cells in visual area MT of the macaque. J. Neurophysiol. 51, 16-31 (1984).
110. Huntgeburth, S. C. &Petrides, M. Morphological patterns of the collateral sulcus in the human brain. Eur. J. Neurosci. 35, 1295-1311 (2012).
111. Yeatman, J. D., Rauschecker, A. M. &Wandell, B. A. Anatomy of the visual word form area: adjacent cortical circuits and long-range white matter connections. Brain Lang. 125,146-155 (2013).
112. Glezer, L. S. &Riesenhuber, M. Individual variability in location impacts orthographic selectivity in the "visual word form area". J. Neurosci. 33, 11221-11226 (2013).
113. Weiner, K. S. &Grill-Spector, K. Neural representations of faces and limbs neighbour in human high-level visual cortex: evidence for a new organization principle. Psychol. Res. 77, 74-97 (2013).
114. Winawer, J., Horiguchi, H., Sayres, R. A., Amano, K. &Wandell, B. A. Mapping hV4 and ventral occipital cortex: the venous eclipse. J. Vis. 10, 1 (2010).
115. Kohonen, T. Self-Organization and Associative Memory (Springer, 1983).
116. Haxby, J. V. et al. A common, high-dimensional model of the representational space in human ventral temporal cortex. Neuron 72, 404-416 (2011).
117. Martin, A., Wiggs, C. L., Ungerleider, L. G. &Haxby, J. V. Neural correlates of category-specific knowledge. Nature 379, 649-652 (1996).
118. Beauchamp, M. S., Lee, K. E., Haxby, J. V. &Martin, A. Parallel visual motion processing streams for manipulable objects and human movements. Neuron 34, 149-159 (2002).
119. Mahon, B. Z., Anzellotti, S., Schwarzbach, J., Zampini, M. &Caramazza, A. Category-specific organization in the human brain does not require visual experience. Neuron 63, 397-405 (2009).
120. Levy, I., Hasson, U., Avidan, G., Hendler, T. &Malach, R. Center-periphery organization of human object areas. Nature Neurosci. 4, 533-539 (2001).
121. Weiner, K. S. &Grill-Spector, K. Improbable simplicity of the fusiform face area. Trends Cogn. Sci. 16, 251-254 (2012).
122. Glasser, M. F. &Van Essen, D. C. Mapping human cortical areas in vivo based on myelin content as revealed by T1-and T2-weighted MRI. J. Neurosci. 31, 11597-11616 (2011).
123. Van Essen, D. C. et al. The WU-Minn Human Connectome Project: an overview. Neuroimage 80, 62-79 (2013).
124. Malach, R. Cortical columns as devices for maximizing neuronal diversity. Trends Neurosci. 17, 101-104 (1994).
125. Moeller, S., Freiwald, W. A. &Tsao, D. Y. Patches with links: a unified system for processing faces in the macaque temporal lobe. Science 320, 1355-1359 (2008).
126. Kornblith, S., Cheng, X., Ohayon, S. &Tsao, D. Y. A network for scene processing in the macaque temporal lobe. Neuron 79, 766-781 (2013).
127. Van Essen, D. C. A tension-based theory of morphogenesis and compact wiring in the central nervous system. Nature 385, 313-318 (1997).
128. Issa, E. B. &DiCarlo, J. J. Precedence of the eye region in neural processing of faces. J. Neurosci. 32, 16666-16682 (2012).
129. Perrett, D. I., Hietanen, J. K., Oram, M. W. &Benson, P. J. Organization and functions of cells responsive to faces in the temporal cortex. Phil. Trans. R. Soc. Lond. B 335, 23-30 (1992).
130. Wang, G., Tanaka, K. &Tanifuji, M. Optical imaging of functional organization in the monkey inferotemporal cortex. Science 272, 1665-1668 (1996).
131. Tsunoda, K., Yamane, Y., Nishizaki, M. &Tanifuji, M. Complex objects are represented in macaque inferotemporal cortex by the combination of feature columns. Nature Neurosci. 4, 832-838 (2001).
132. Jiang, X. et al. Categorization training results in shape-and category-selective human neural plasticity. Neuron 53, 891-903 (2007).
133. Tanaka, K. Inferotemporal cortex and object vision. Annu. Rev. Neurosci. 19, 109-139 (1996).
134. Kravitz, D. J., Saleem, K. S., Baker, C. I., Ungerleider, L. G. &Mishkin, M. The ventral visual pathway: an expanded neural framework for the processing of object quality. Trends Cogn. Sci. 17, 26-49 (2013).
135. Mezer, A. et al. Quantifying the local tissue volume and composition in individual brains with magnetic resonance imaging. Nature Med. 19, 1667-1672 (2013).
136. Holmes, G. Disturbances of vision by cerebral lesions. Br. J. Ophthalmol. 2, 353-384 (1918).
137. Hasnain, M. K., Fox, P. T. &Woldorff, M. G. Structure- function spatial covariance in the human visual cortex. Cereb. Cortex 11, 702-716 (2001).
138. Benson, N. C., Butt, O. H., Brainard, D. H. &Aguirre, G. K. Correction of distortion in flattened representations of the cortical surface allows prediction of V1-V3 functional organization from anatomy. PLoS Comput. Biol. 10, e1003538 (2014).
139. Tootell, R. B. et al. Functional analysis of V3A and related areas in human visual cortex. J. Neurosci. 17, 7060-7078 (1997).
140. Fischl, B. et al. Cortical folding patterns and predicting cytoarchitecture. Cereb. Cortex 18, 1973-1980 (2008).
141. Dumoulin, S. O. et al. A new anatomical landmark for reliable identification of human area V5/MT: a quantitative analysis of sulcal patterning. Cereb. Cortex 10, 454-463 (2000).
142. Braitenberg, V. &Schüz, A. Anatomy of the Cortex (Springer, 1991).
143. Hubel, D. H. &Wiesel, T. N. Receptive fields, binocular interaction and functional architecture in the cat's visual cortex. J. Physiol. 160, 106-154 (1962).
144. McNaughton, B. L., Battaglia, F. P., Jensen, O., Moser, E. I. &Moser, M. B. Path integration and the neural basis of the 'cognitive map'. Nature Rev. Neurosci. 7, 663-678 (2006).
145. O'Toole, A. J., Roark, D. A. &Abdi, H. Recognizing moving faces: a psychological and neural synthesis. Trends Cogn. Sci. 6, 261-266 (2002).
146. Tootell, R. B. et al. Functional analysis of human MT and related visual cortical areas using magnetic resonance imaging. J. Neurosci. 15, 3215-3230 (1995).
147. Stigliani, A., Weiner, K. S. &Grill-Spector, K. Differential rate of temporal processing across category-selective regions in human high-level visual cortex. Vision Sci. Soc. Abstr. 23.579 (2014).
148. Gross, C. G., Bender, D. B. &Rocha-Miranda, C. E. Visual receptive fields of neurons in inferotemporal cortex of the monkey. Science 166, 1303-1306 (1969).