Toward a unified model of face and object recognition in the human visual system

Frontiers in Psychology

Volumn 4, Issue AUG, 2013, Pages

  Wallis, Guy ^a  

^a UNIVERSITY OF QUEENSLAND   (Australia)

Author keywords

Face recognition; Holistic processing; Learning and memory; Neural network modeling; Object recognition

Indexed keywords

EID: 84885358190     PISSN: None     EISSN: 16641078     Source Type: Journal    
DOI: 10.3389/fpsyg.2013.00497     Document Type: Article

References (230)

1. Abbott, L., Rolls, E., and Tovee, M. (1996). Representational capacity of face coding in monkeys. Cereb. Cortex 6, 498-505. doi: 10.1093/cercor/6.3.498
2. Anderson, J., and Rosenfeld, E. (eds.). (1988). Neurocomputing: Foundations of Research. Cambridge, MA: MIT Press.
3. Ashbridge, E., Perrett, D. I., Oram, M. W., and Jellema, T. (2000). Effect of image orientation and size on object recognition: responses of single units in the macaque monkey temporal cortex. Cogn. Neuropsychol. 17, 13-34. doi: 10.1080/026432900380463
4. Ashworth, A., Vuong, Q. C., Rossion, B., and Tarr, M. J. (2008). Recognizing rotated faces and Greebles: what properties drive the face inversion effect. Vis. Cogn. 16, 754-784. doi: 10.1080/13506280701381741
5. Awasthi, B., Friedman, J., and Williams, M. A. (2011). Faster, stronger, lateralized: low spatial frequency information supports face processing. Neuropsychologia 49, 3583-3590. doi: 10.1016/j.neuropsychologia.2011.08.027
6. Baddeley, R., Abbott, L. F., Booth, M. C., Sengpiel, F., Freeman, T., Wakeman, E. A., et al. (1997). Responses of neurons in primary and inferior temporal visual cortices to natural scenes. Proc. R. Soc. Lond. B Biol. Sci. 264, 1775-1783. doi: 10.1098/rspb.1997.0246
7. Baker, C. I., Behrmann, M., and Olson, C. R. (2002). Impact of learning on representation of parts and wholes in monkey inferotemporal cortex. Nat. Neurosci. 5, 1210-1216. doi: 10.1038/nn960
8. Barlow, H. (1995). "The neuron doctrine in perception," in The Cognitive Neuronsciences, ed M. Gazzaniga (Cambridge, MA: MIT Press), 415-435.
9. Bart, E., and Hegdé, J. (2012). Invariant recognition of visual objects: some emerging computational principles. Front. Comput. Neurosci. 6:60. doi: 10.3389/fncom.2012.00060
10. Bartlett, J. C., Searcy, J. H., and Abdi, H. (2003). What Are the Routes to Face Recognition? Oxford: Oxford University Press, 21-52.
11. Becker, S. (1993). "Learning to categorize objects using temporal coherence," in Advances in Neural Information Processing Systems 5, eds C. L. Giles, S. J. Hanson, and J. D. Cowan (San Mateo, CA: Morgan Kaufmann Publishers), 361-368.
12. Behrmann, M., Avidan, G., Marotta, J. J., and Kimchi, R. (2005). Detailed exploration of face-related processing in congenital prosopagnosia: 1 behavioral findings. J. Cogn. Neurosci. 17, 1130-1149. doi: 10.1162/0898929054475154
13. Bennett, A. (1990). Large competitive networks. Network 1, 449-462. doi: 10.1088/0954-898X/1/4/005
14. Bentin, S., Allison, T., Puce, A., Perez, E., and McCarthy, G. (1996). Electrophysiological studies of face perception in humans. J. Cogn. Neurosci. 8, 551-565. doi: 10.1162/jocn.1996.8.6.551
15. Biederman, I. (1987). Recognition-by-components: a theory of human image understanding. Psychol. Rev. 94, 115-147. doi: 10.1037/0033-295X.94.2.115
16. Biederman, I., and Gerhardstein, P. C. (1993). Recognizing depth-rotated objects: evidence and conditions for 3D viewpoint invariance. J. Exp. Psychol. Hum. Percept. Perform. 19, 1162-1182. doi: 10.1037/0096-1523.19.6.1162
17. Biederman, I., and Kalocsai, P. (1997). Neurocomputational bases of object and face recognition. Phlios. Trans. R. Soc. Lond. Biol. Sci. 352, 1203-1219. doi: 10.1098/rstb.1997.0103
18. Boehm, S. G., Dering, B., and Thierry, G. (2011). Category-sensitivity in the n170 range: a question of topography and inversion, not one of amplitude. Neuropsychologia 49, 2082-2089. doi: 10.1016/j.neuropsychologia.2011.03.039
19. Brants, M., Wagemans, J., de, and Beeck, H. O. (2011). Activation of fusiform face area by greebles is related to face similarity but not expertise. J. Cogn. Neurosci. 23, 3949-3958. doi: 10.1162/jocn_a_00072
20. Brunelli, R., and Poggio, T. (1993). Face recognition: features versus templates. IEEE Trans. Pattern Anal. Mach. Intell. 15, 1042-1052. doi: 10.1109/34.254061
21. Bukach, C. M., Gauthier, I., and Tarr, M. J. (2006). Beyond faces and modularity: the power of an expertise framework. Trends Cogn. Sci. 10, 159-166. doi: 10.1016/j.tics.2006.02.004
22. Bülthoff, H., and Edelman, S. (1992). Psychophysical support for a two-dimensional view interpolation theory of object recognition. Proc. Natl. Acad. Sci. U.S.A. 92, 60-64. doi: 10.1073/pnas.89.1.60
23. Busey, T. A., and Vanderkolk, J. R. (2005). Behavioral and electrophysiological evidence for configural processing in fingerprint experts. Vis. Res. 45, 431-448. doi: 10.1016/j.visres.2004.08.021
24. Bushey, D., Tononi, G., and Cirelli, C. (2011). Sleep and synaptic homeostasis: structural evidence in drosophila. Science 332, 1576-1581. doi: 10.1126/science.1202839
25. Byatt, G., and Rhodes, G. (1998). Recognition of own-race and other-race caricatures: implications for models of face recognition. Vis. Res. 38, 2455-2468. doi: 10.1016/S0042-6989(97)00469-0
26. Caldara, R., and Abdi, H. (2006). Simulating theother-race'effect with autoassociative neural networks: further evidence in favor of the face-space model. Perception 35, 659. doi: 10.1068/p5360
27. Calvo, M. G., and Nummenmaa, L. (2008). Detection of emotional faces: salient physical features guide effective visual search. J. Exp. Psychol. Gen. 137, 471. doi: 10.1037/a0012771
28. Carey, S., and Diamond, R. (1994). Are faces perceived as configurations more by adults than by children. Vis. Cogn. 1, 253-274. doi: 10.1080/13506289408402302
29. Chance, J., Turner, A., and Goldstein, A. (1982). Development of differential recognition for own-and other-race faces. J. Psychol. 112, 29-37. doi: 10.1080/00223980.1982.9923531
30. Coelho, C. M., Cloete, S., and Wallis, G. (2010). The face-in-the-crowd effect: when angry faces are just cross (es). J. Vis. 10, 1-14.
31. Cohena, L., and Dehaene, S. (2004). Specialization within the ventral stream: the case for the visual word form area. Neuroimage 22, 466-476. doi: 10.1016/j.neuroimage.2003.12.049
32. Cottrell, G. W., and Hsiao, J. H. (2011). "Neurocomputational models of face processing," in Oxford Handbook of Face Perception, eds A. Calder, G. Rhodes, M. Johnson, and J. Haxby (Oxford: Oxford University Press), 401-426.
33. Cox, D., Meier, P., Oertelt, N., and DiCarlo, J. (2005). 'breaking' position-invariant object recognition. Nat. Neurosci. 8, 1145-1147. doi: 10.1038/nn1519
34. Cox, D. D., and DiCarlo, J. J. (2008). Does learned shape selectivity in inferior temporal cortex automatically generalize across retinal position. J. Neurosci. 28, 10045-10055. doi: 10.1523/JNEUROSCI.2142-08.2008
35. Crick, F., and Mitchison, G. (1983). The function of dream sleep. Nature 304, 111-114. doi: 10.1038/304111a0
36. Crookes, K., Favelle, S., and Hayward, W. G. (2013). Holistic processing for other-race faces in chinese participants occurs for upright but not inverted faces. Front. Psychol. 4:29. doi: 10.3389/fpsyg.2013.00029
37. Crookes, K., and McKone, E. (2009). Recognition: no childhood development of holistic processing, novel face encoding, or face-space. Cognition 111, 219-247. doi: 10.1016/j.cognition.2009.02.004
38. Davidenko, N., and Ramscar, M. J. (2006). The distinctiveness effect reverses when using well-controlled distractors. Vis. Cogn. 14, 89-92.
39. de Heering, A., and Rossion, B. (2008). Prolonged visual experience in adulthood modulates holistic face perception. PLoS ONE 3:e2317. doi: 10.1371/journal.pone.0002317
40. DeGutis, J., Mercado, R. J., Wilmer, J., and Rosenblatt, A. (2013). Individual differences in holistic processing predict the own-race advantage in recognition memory. PLoS ONE 8:e58253. doi: 10.1371/journal.pone.0058253
41. Desimone, R. (1991). Face-selective cells in the temporal cortex of monkeys. J. Cogn. Neurosci. 3, 1-8. doi: 10.1162/jocn.1991.3.1.1
42. Diamond, R., and Carey, S. (1986). Why faces are and are not special: an effect of expertise. J. Exp. Psychol. Gen. 115, 107-117. doi: 10.1037/0096-3445.115.2.107
43. Duchaine, B., Yovel, G., Butterworth, E., and Nakayama, K. (2006). Prosopagnosia as an impairment to face-specific mechanisms: elimination of the alternative hypotheses in a developmental case. Cogn. Neuropsychol. 23, 714-747. doi: 10.1080/02643290500441296
44. Edelman, S. (1995). Representation, similarity, and the chorus of prototypes. Minds Mach. 5, 45-68. doi: 10.1007/BF00974189
45. Edelman, S., and Bülthoff, H. (1992). Orientation dependence in the recognition of familiar and novel views of 3d objects. Vis. Res. 32, 2385-2400. doi: 10.1016/0042-6989(92)90102-O
46. Eger, E., Ashburner, J., Haynes, J. D., Dolan, R., and Rees, G. (2008). fMRI activity patterns in human loc carry information about object exemplars within category. J. Cogn. Neurosci. 20, 356-370. doi: 10.1162/jocn.2008.20019
47. Ellis, H. D., and Young, A. W. (1989). Handbook of Research on Face Processing. Amsterdam: North- Holland. (Chapter Are faces special?).
48. Farah, M. (1990). Visual Agnosia: Disorders of Object Recognition and What they Can Tell Us About Normal Vision. Cambridge, MA: MIT Press.
49. Farah, M., Wilson, K., Drain, M., and Tanaka, J. (1998). What is "special" about face perception. Psychol. Rev. 105, 482-498. doi: 10.1037/0033-295X.105.3.482
50. Field, D., Hayes, A., and Hess, R. (1993). Contour integration by the human visual system: evidence for a local "association field". Vis. Res. 33, 173-193. doi: 10.1016/0042-6989(93)90156-Q
51. Földiák, P. (1991). Learning invariance from transformation sequences. Neural Comput. 3, 194-200. doi: 10.1162/neco.1991.3.2.194
52. Freiwald, W. A., and Tsao, D. Y. (2010). Functional compartmentalization and viewpoint generalization within the macaque face-processing system. Science 330, 845-851. doi: 10.1126/science.1194908
53. Freiwald, W. A., Tsao, D. Y., and Livingstone, M. S. (2009). A face feature space in the macaque temporal lobe. Nat. Neurosci. 12, 1187-1196. doi: 10.1038/nn.2363
54. Fujita, I., Tanaka, K., Ito, M., and Cheng, K. (1992). Columns for visual features of objects in monkey inferotemporal cortex. Nature 360, 343-346. doi: 10.1038/360343a0
55. Fukushima, K. (1975). Cognitron: a self-organizing multilayered neural network. Biol. Cybern. 20, 121-136. doi: 10.1007/BF00342633
56. Fukushima, K. (1980). Neocognitron: a self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position. Biol. Cybern. 36, 193-202. doi: 10.1007/BF00344251
57. Fukushima, K. (1988). Neocognitron: a hierarchical neural network model capable of visual pattern recognition unaffected by shift in position. Neural Netw. 1, 119-130. doi: 10.1016/0893-6080(88)90014-7
58. Furl, N., Phillips, P. J., and O'Toole, A. J. (2002). Face recognition algorithms and the other-race effect: computational mechanisms for a developmental contact hypothesis. Cogn. Sci. 26, 797-815. doi: 10.1207/s15516709cog2606_4
59. Gauthier, I., and Bukach, C. (2007). Should we reject the expertise hypothesis. Cognition 103, 322-330. doi: 10.1016/j.cognition.2006.05.003
60. Gauthier, I., and Logothetis, N. (2000). Is face recognition not so unique after all. Cogn. Neuropsychol. 17, 125-142. doi: 10.1080/026432900380535
61. Gauthier, I., Skudlarski, P., Gore, J. C., and Anderson, A. W. (2000). Expertise for cars and birds recruits brain areas involved in face recognition. Nat. Neurosci. 3, 191-197. doi: 10.1038/72140
62. Gauthier, I., and Tarr, M. (1997). Becoming a Greeble expert: exploring mechanisms for face recognition. Vis. Res. 37, 1673-1682. doi: 10.1016/S0042-6989(96)00286-6
63. Gauthier, I., Tarr, M., and Bub, D. (eds.). (2009). Perceptual Expertise: Bridging Brain and Behavior. Oxford: Oxford University Press. doi: 10.1093/acprof:oso/9780195309607.001.0001
64. Gauthier, I., and Tarr, M. J. (2002). Unraveling mechanisms for expert object recognition: bridging brain activity and behavior. J. Exp. Psychol. Hum. Percept. Perform. 28, 431-466. doi: 10.1037/0096-1523.28.2.431
65. Gillebert, C., Op de Beeck, H., Panis, S., and Wagemans, J. (2009). Subordinate categorization enhances the neural selectivity in human object-selective cortex for fine shape differences. J. Cogn. Neurosci. 21, 1054-1064. doi: 10.1162/jocn.2009.21089
66. Glezer, L. S. Jiang, X., and Riesenhuber, M. (2009). Evidence for highly selective neuronal tuning to whole words in the "visual word form area". Neuron 62, 199-204. doi: 10.1016/j.neuron.2009.03.017
67. Goffaux, V., and Rossion, B. (2006). Faces are "spatial" - holistic face perception is supported by low spatial frequencies. J. Exp. Psychol. Hum. Percept. Perform. 32, 1023-1039. doi: 10.1037/0096-1523.32.4.1023
68. Golarai, G., Ghahremani, D., Whitfield-Gabrieli, S., Reiss, A., Eberhardt J. L., Gabrieli, J., et al. (2007). Differential development of high-level visual cortex correlates with category-specific recognition memory. Nat. Neurosci. 10, 512-522.
69. Graf, M. (2006). Coordinate transformations in object recognition. Psychol. Bull. 132, 920-945. doi: 10.1037/0033-2909.132.6.920
70. Grill-Spector, K., Sayres, R., and Ress, D. (2006). High-resolution imaging reveals highly selective nonface clusters in the fusiform face area. Nat. Neurosci. 9, 1177-1185. doi: 10.1038/nn1745
71. Grill-Spector, K., Sayres, R., and Ress, D. (2007). Erratum in: High-resolution imaging reveals highly selective nonface clusters in the fusiform face area. Nat. Neurosci. 10:133. doi: 10.1038/nn0107-133.
72. Grossberg, S. (1976). Adaptive pattern classification and universal recoding: I. parallel development and coding of neural feature detectors. Biol. Cybern. 23. 121-134. doi: 10.1007/BF00344744. Reprinted in Anderson and Rosenfeld (1988).
73. Haque, A., and Cottrell, G. (2005). "Modeling the otherrace advantage with pca," in Proceedings of the 27th Annual Cognitive Science Conference, La Stresa (Mahwah: Lawrence Erlbaum), 899-904.
74. Hasselmo, M., Rolls, E., Baylis, G., and Nalwa, V. (1989). Object-centred encoding by face-selective neurons in the cortex in the superior temporal sulcus of the monkey. Exp. Brain Res. 75, 417-429. doi: 10.1007/BF00247948
75. Haxby, J., Gobbini, M., Furey, M., Ishai, A., Schouten, J., and Pietrini, P. (2001). Distributed and overlapping representations of faces and objects in ventral temporal cortex. Science 293, 2425-2430. doi: 10.1126/science.1063736
76. Haxby, J., Hoffman, E., and Gobbini, M. (2000). The distributed human neural system for face perception. Trends Cogn. Neurosci. 4, 223-233. doi: 10.1016/S1364-6613(00)01482-0
77. Hertz, J., Krogh, A., and Palmer, R. (1990). Introduction to the Theory of Neural Computation. Redwood City, CA: Addison Wesley.
78. Hills, P. (2012). A developmental study of the own-age face recognition bias in children. Dev. Psychol. 48, 499-508. doi: 10.1037/a0026524
79. Hills, P. J., and Lewis, M. B. (2011). The own-age face recognition bias in children and adults. Q. J. Exp. Psychol. 64, 17-23. doi: 10.1080/17470218.2010.537926
80. Hinton, G., and Sejnowski, T. (1986). "Learning and relearning in boltzmann machines," in Parallel Distributed Processing: Foundations, Vol. 1, eds D. Rumelhart and J. McClelland (Cambridge, MA: MIT Press) 282-317.
81. Hoffman, E., and Haxby, J. (2000). Distinct representations of eye gaze and identity in the distributed human neural system for face perception. Nat. Neurosci. 3, 80-84. doi: 10.1038/71152
82. Hole, G. J. (1994). Configurational factors in the perception of unfamiliar faces. Perception 23, 65-74. doi: 10.1068/p230065
83. Horstmann, G. (2007). Preattentive face processing: what do visual search experiments with schematic faces tell us. Vis. Cogn. 15, 799-833. doi: 10.1080/13506280600892798
84. Hoyer, P., and Hyvärinen, A. (2002). A multi-layer sparse coding network learns contour coding from natural images. Vis. Res. 52, 1593-1605. doi: 10.1016/S0042-6989(02)00017-2
85. Hubel, D., and Wiesel, T. (1977). Functional architecture of the macaque monkey visual cortex. Proc. R. Soc. Lond. B 198, 1-59. doi: 10.1098/rspb.1977.0085
86. Husk, J. S. Bennett, P. J., and Sekuler, A. B. (2007). Inverting houses and textures: investigating the characteristics of learned inversion effects. Vis. Res. 47, 3350. doi: 10.1016/j.visres.2007.09.017.
87. Isik, L., Leibo, J. Z., and Poggio, T. (2012). Learning and disrupting invariance in visual recognition with a temporal association rule. Front. Comput. Neurosci. 6:37. doi: 10.3389/fncom.2012.00037
88. Itti, L., and Koch, C. (2001). Computational modelling of visual attention. Nat. Rev. Neurosci. 2, 194-203. doi: 10.1038/35058500
89. Jiang, X., Rosen, E., Zeffiro, T., VanMeter, J., Blanz, V., and Riesenhuber, M. (2006). Evaluation of a shape-based model of human face discrimination using fMRI and behavioral techniques. Neuron 50, 159-172. doi: 10.1016/j.neuron.2006.03.012
90. Jonas, J., Descoins, M., Koessler, L., Colnat-Coulbois, S., Sauvée, M., Guye, M., et al. (2012). Focal electrical intracerebral stimulation of a face-sensitive area causes transient prosopagnosia. Neuroscience 222, 281-288. doi: 10.1016/j.neuroscience.2012.07.021
91. Kanwisher, N., McDermott, J., and Chun, M. (1997). The fusiform face area: a module in human extrastriate cortex specialized for face perception. J. Neurosci. 17, 4302-4311.
92. Keil, M. S. (2008). Do face image statistics predict a preferred spatial frequency for human face processing. Proc. R. Soc. B Biol. Sci. 275, 2095-2100. doi: 10.1098/rspb.2008.0486
93. Keil, M. S. Lapedriza, A., Masip, D., and Vitria, J. (2008). Preferred spatial frequencies for human face processing are associated with optimal class discrimination in the machine. PLoS ONE 3:e2590. doi: 10.1371/journal.pone.0002590
94. Kobatake, E., Tanaka, K., and Wang, G. (1998). Effects of shape discrimination learning on the stimulus selectivity of inferotemporal cells in adult monkeys. J. Neurophysiol. 80, 324-330.
95. Kohonen, T. (1982). Self-organized formation of topologically correct feature maps. Biol. Cybern. 43, 59-69. doi: 10.1007/BF00337288 Reprinted in Anderson and Rosenfeld (1988).
96. Kriegeskorte, N., Formisano, E., Sorger, B., and Goebel, R. (2007). Individual faces elicit distinct response patterns in human anterior temporal cortex. Proc. Natl. Acad. Sci. U.S.A. 104, 20600-20605. doi: 10.1073/pnas.0705654104
97. Kriegeskorte, N., Mur, M., Ruff, D. A. Kiani, R., Bodurka, J., Esteky, H., et al. (2008). Matching categorical object representations in inferior temporal cortex of man and monkey. Neuron 60, 1126-1141. doi: 10.1016/j.neuron.2008.10.043
98. Laguesse, R., Dormal, G., Biervoye, A., Kuefner, D., and Rossion, B. (2012). Extensive visual training in adulthood significantly reduces the face inversion effect. J. Vis. 12:14. doi: 10.1167/12.10.14
99. Leder, H., and Bruce, V. (1998). Local and relational aspects of face distinctiveness. Q. J. Exp. Psychol. A Hum. Exp. Psychol. 51, 449-473. doi: 10.1080/027249898391486
100. LeDoux, J. (2003). The emotional brain, fear, and the amygdala. Cell. Mol. Neurobiol. 23, 727-738. doi: 10.1023/A:1025048802629
101. Leibo, J. Z. Mutch, J., and Poggio, T. (2011). "Why the brain separates face recognition from object recognition," in Advances in Neural Information Processing Systems (Granada, Spain).
102. Leopold, D., Bondar, I., and Giese, M. (2006). Norm-based face encoding by single neurons in the monkey inferotemporal cortex. Nature 442, 572-575. doi: 10.1038/nature04951
103. Lewis, M., and Johnston, R. A. (1999). A unified account of the effects of caricaturing faces. Vis. Cogn. 6, 1-42. doi: 10.1080/713756800
104. Li, N., and DiCarlo, J. (2008). Unsupervised natural experience rapidly alters invariant object representation in visual cortex. Science 321, 1502-1507. doi: 10.1126/science.1160028
105. Li, N., and DiCarlo, J. J. (2010). Unsupervised natural visual experience rapidly reshapes size-invariant object representation in inferior temporal cortex. Neuron 67, 1062-1075. doi: 10.1016/j.neuron.2010.08.029
106. Liu, J., Harris, A., and Kanwisher, N. (2010). Perception of face parts and face configurations: an fMRI study. J. Cogn. Neurosci. 22, 203-211. doi: 10.1162/jocn.2009.21203
107. Liu, T. (2007). Learning sequence of views of threedimensional objects: the effect of temporal coherence on object memory. Perception 36, 1320-1333. doi: 10.1068/p5778
108. Logothetis, N., and Sheinberg, D. (1996). Visual object recognition. Annu. Rev. Neurosci. 19, 577-621. doi: 10.1146/annurev.ne.19.030196.003045
109. Logothetis, N. K., and Pauls, J. (1995). Viewer-centered object representations in the primate. Cereb. Cortex 3, 270-288. doi: 10.1093/cercor/5.3.270
110. Mahon, B. Z. Milleville, S. C. Negri, G. A. L. Rumiati, R. I. Caramazza, A., and Martin, A. (2007). Action-related properties of objects shape object representations in the ventral stream. Neuron 55, 507-520. doi: 10.1016/j.neuron.2007.07.011
111. Marr, D., and Hildreth, E. (1980). Theory of edge detection. Proc. R. Soc. Lond. B 207, 187-217. doi: 10.1098/rspb.1980.0020
112. Maurer, D., Le Grand, R., and Mondloch, C. (2002). The many faces of configural processing. Trends Cogn. Sci. 6, 255-260. doi: 10.1016/S1364-6613(02)01903-4
113. McCandliss, B. (2003). The visual word form area: expertise for reading in the fusiform gyrus. Trends Cogn. Sci. 7, 293-299. doi: 10.1016/S1364-6613(03)00134-7
114. McGugin, R. W. Gatenby, J. C. Gore, J. C., and Gauthier, I. (2012). High-resolution imaging of expertise reveals reliable object selectivity in the fusiform face area related to perceptual performance. Proc. Natl. Acad. Sci. U.S.A. 109, 17063-17068. doi: 10.1073/pnas.1116333109
115. McGugin, R. W. Tanaka, J. W. Lebrecht, S., Tarr, M. J., and Gauthier, I. (2011). Race-specific perceptual discrimination improvement following short individuation training with faces. Cogn. Sci. 35, 330-347. doi: 10.1111/j.1551-6709.2010.01148.x
116. McKone, E., Kanwisher, N., and Duchaine, B. C. (2007). Can generic expertise explain special processing for faces. Trends Cogn. Sci. 11, 8-15. doi: 10.1016/j.tics.2006.11.002
117. McKone, E., and Robbins, R. (2007). The evidence rejects the expertise hypothesis: reply to gauthier & bukach. Cognition 103, 331-336. doi: 10.1016/j.cognition.2006.05.014
118. McMahon, D. B. T., and Leopold, D. A. (2012). Stimulus timing-dependent plasticity in high-level vision. Curr. Biol. 22, 332-337. doi: 10.1016/j.cub.2012.01.003
119. Mel, B. (1996). Seemore: combining color, shape, and texture histogramming in a neurally-inspired approach to visual object recognition. Unpublished Manuscript.
120. Meng, M., Cherian, T., Singal, G., and Sinha, P. (2012). Lateralization of face processing in the human brain. Proc. R. Soc. B Biol. Sci. 279, 2052-2061. doi: 10.1098/rspb.2011.1784
121. Michel, C., Rossion, B., Han, J., Chung, C.-S., and Caldara, R. (2006). Holistic processing is finely tuned for faces of our own race. Psychol. Sci. 17, 608-615. doi: 10.1111/j.1467-9280.2006.01752.x
122. Michler, F., Eckhorn, R., and Wachtler, T. (2009). Using spatiotemporal correlations to learn topographic maps for invariant object recognition. J. Neurophysiol. 102, 953-964. doi: 10.1152/jn.90651.2008
123. Miyashita, Y. (1988). Neural correlate of visual associative long-term memory in the primate temporal cortex. Nature 335, 817-820. doi: 10.1038/335817a0
124. Miyashita, Y. (1993). Inferior temporal cortex: where visual perception meets memory. Annu. Rev. Neurosci. 16, 245-263. doi: 10.1146/annurev.neuro.16.1.245
125. Miyashita, Y., Date, A., and Okuno, H. (1993). Configurational encoding of visual forms by single neurons of monkey temporal cortex. Neuropsychologia 31, 1119-1132. doi: 10.1016/0028-3932(93)90036-Y
126. Moeller, S., Freiwald, W. A., and Tsao, D. Y. (2008). Patches with links: a unified system for processing faces in the macaque temporal lobe. Science 320, 1355-1359. doi: 10.1126/science.1157436
127. Mondloch, C. J. Elms, N., Maurer, D., Rhodes, G., Hayward, W. G. Tanaka, J. W., et al. (2010). Processes underlying the cross-race effect: an investigation of holistic, featural, and relational processing of own-race versus other-race faces. Perception 39, 1065-1085. doi: 10.1068/p6608
128. Ohayon, S., Freiwald, W. A., and Tsao, D. Y. (2012). What makes a cell face selective? the importance of contrast. Neuron 74, 567-581. doi: 10.1016/j.neuron.2012.03.024
129. Öhman, A., and Mineka, S. (2001). Fears, phobias, and preparedness: toward an evolved module of fear and fear learning. Psychol. Rev. 108, 483-522. doi: 10.1037/0033-295X.108.3.483
130. Olshausen, B. A. Anderson, C. H. van, and Essen, D. C. (1993). A neurobiological model of visual attention and invariant pattern recognition based on dynamic routing of information. J. Neurosci. 13, 4700-4719.
131. Olson, S. J., and Grossberg, S. (1998). A neural network model for the development of simple and complex cellreceptive fields within cortical maps of orientation and ocular dominance. Neural Netw. 11, 189-208. doi: 10.1016/S0893-6080(98)00003-3
132. Op de Beeck, H., Baker, C. I. DiCarlo, J. J., and Kanwisher, N. G. (2006). Discrimination training alters object representations in human extrastriate cortex. J. Neurosci. 26, 13025-13036. doi: 10.1523/JNEUROSCI.2481-06.2006
133. O'Toole, A., Phillips, J., Jiang, F., Ayyad, J., Penard, N., and Abdi, H. (2007). Face recognition algorithms surpass humans matching faces over changes in illumination. IEEE Trans. Pattern Anal. Mach. Intell. 29, 1642-1646. doi: 10.1109/TPAMI.2007.1107
134. O'Toole, A. J. Deffenbacher, K., Abdi, H., and Bartlett, J. C. (1991). Simulating the "other-race effect" as a problem in perceptual learning. Connect. Sci. 3, 163-178. doi: 10.1080/09540099108946583
135. Parr, L., and Heintz, M. (2006). The perception of unfamiliar faces and houses by chimpanzees: influence of rotation angle. Perception 35, 1473-1483. doi: 10.1068/p5455
136. Parvizi, J., Jacques, C., Foster, B. L. Withoft, N., Rangarajan, V., Weiner, K. S., et al. (2012). Electrical stimulation of human fusiform face-selective regions distorts face perception. J. Neurosci. 32, 14915-14920. doi: 10.1523/JNEUROSCI.2609-12.2012
137. Patterson, K., and Baddeley, A. (1977). When face recognition fails. J. Exp. Psychol. Hum. Mem. learn. 3, 406-417. doi: 10.1037/0278-7393.3.4.406
138. Pegado, F., Nakamura, K., Cohen, L., and Dehaene, S. (2011). Breaking the symmetry: mirror discrimination for single letters but not for pictures in the visual word form area. Neuroimage 55, 742-749. doi: 10.1016/j.neuroimage.2010.11.043
139. Perrett, D., Hietanen, J., Oram, M., and Benson, P. (1992). Organisation and functions of cells responsive to faces in the temporal cortex. Philos. Trans. R. Soc. Lond. B 335, 23-30. doi: 10.1098/rstb.1992.0003
140. Perrett, D., Mistlin, A., and Chitty, A. (1987). Visual cells responsive to faces. Trends Neurosci. 10, 358-364. doi: 10.1016/0166-2236(87)90071-3
141. Perrett, D., and Oram, M. (1993). Neurophysiology of shape processing. Image Vis. Comput. 11, 317-333. doi: 10.1016/0262-8856(93)90011-5
142. Perrett, D., Oram, M., and Wachsmuth, E. (1998). Evidence accumulation in cell populations responsive to faces: an account of generalisation of recognition without mental transformations. Cognition 67, 111-145. doi: 10.1016/S0010-0277(98)00015-8
143. Perrett, D., Rolls, E., and Caan, W. (1982). Visual neurones responsive to faces in the monkey temporal cortex. Exp. Brain Res. 47, 329-342. doi: 10.1007/BF00239352
144. Perrett, D., Smith, P., Mistlin, A., Chitty, A., Head, A., Potter, D., et al. (1984). Visual analysis of body movements by neurones in the temporal cortex of the macaque monkey: a preliminary report. Behav. Brain Res. 16, 153-170. doi: 10.1016/0166-4328(85)90089-0
145. Perrett, D., Smith, P., Potter, D., Mistlin, A., Head, A., Milner, A., et al. (1985). Visual cells in the temporal cortex sensitive to face view and gaze direction. Proc. R. Soc. Lond. B 223, 293-317. doi: 10.1098/rspb.1985.0003
146. Perrett, D. I. (1988). Specialized face processing and hemispheric asymmetry in man and monkey: evidence from single unit and reaction time studies. Behav. Brain Res. 29, 245-258. doi: 10.1016/0166-4328(88)90029-0
147. Peterhans, E., and von der Heydt, R. (1989). Mechanisms of contour perception in monkey visual cortex ii: contours bridging gaps. J. Neurosci. 9, 1749-1763.
148. Peterson, M., and Rhodes, G. (2003). Perception of Faces, Objects and Scenes: Analytic and Holistic processes. Oxford: Oxford University Press.
149. Phelps, M. T., and Roberts, W. A. (1994). Memory for pictures of upright and inverted primate faces in humans (Homo sapiens), Squirrel Monkeys (Saimiri sciureus), and Pigeons (Columba livia). J. Comp. Psychol. 108, 114-125. doi: 10.1037/0735-7036.108.2.114
150. Pitts, W., and McCulloch, W. (1947). How we know universals: the perception of auditory and visual forms. Bull. Math. Biophys. 9, 127-147. doi: 10.1007/BF02478291 Reprinted in Anderson and Rosenfeld (1988).
151. Poggio, T., and Edelman, S. (1990). A network that learns to recognize three-dimensional objects. Nature 343, 263-266. doi: 10.1038/343263a0
152. Puce, A., Allison, T., Gore, J., and McCarthy, G. (1995). Face-sensitive regions in human extrastriate cortex studied by functional MRI. J. Neurophysiol. 74, 1192-1199.
153. Quiroga, Q. R. Kraskov, A., Koch, C., and Fried, I. (2009). Explicit encoding of multimodal percepts by single neurons in the human brain. Curr. Biol. 19, 1308-1313. doi: 10.1016/j.cub.2009.06.060
154. Rhodes, G., and Jeffery, L. (2006). Adaptive norm-based coding of facial identity. Vis. Res. 46, 2977-2987. doi: 10.1016/j.visres.2006.03.002
155. Rhodes, G., Jeffery, L., Watson, T., Jaquet, E., Winkler, C., and Clifford, C. (2004). Orientation contingent face aftereffects and implications for face-coding mechanisms. Curr. Biol. 14, 2119-2123. doi: 10.1016/j.cub.2004.11.053
156. Rhodes, G., Tan, S., Brake, S., and Taylor, K. (1989). Expertise and configural coding in face recognition. Br. J. Psychol. 80, 313-331. doi: 10.1111/j.2044-8295.1989.tb02323.x
157. Rhodes, G., Watson, T. L. Jeffery, L., and Clifford, C. W. (2010). Perceptual adaptation helps us identify faces. Vis. Res. 50, 963-968. doi: 10.1016/j.visres.2010.03.003
158. Richler, J. J. Cheung, O. S., and Gauthier, I. (2011). Holistic processing predicts face recognition. Psychol. Sci. 22, 464-471. doi: 10.1177/0956797611401753
159. Riesenhuber, M. (2007). Appearance isn't everything: news on object representation in cortex. Neuron 55, 341-344. doi: 10.1016/j.neuron.2007.07.017
160. Riesenhuber, M., Jarudi, I., Gilad, S., and Sinha, P. (2004). Face processing in humans is compatible with a simple shape-based model of vision. Proc. R. Soc. B 271, S448-S450. doi: 10.1098/rsbl.2004.0216
161. Riesenhuber, M., and Poggio, T. (1999). Hierarchical models of object recognition in cortex. Nat. Neurosci. 2, 1019-1025. doi: 10.1038/14819
162. Riesenhuber, M., and Poggio, T. (2000). Models of object recognition. Nat. Neurosci. 3, 1199-1204. doi: 10.1038/81479
163. Robbins, R., and McKone, E. (2007). No face-like processing for objects-of-expertise in three behavioural tasks. Cognition 103, 34-79. doi: 10.1016/j.cognition.2006.02.008
164. Rolls, E. (1992). Neurophysiological mechanisms underlying face processing within and beyond the temporal cortical areas. Philos. Trans. R. Soc. Lond. B 335, 11-21. doi: 10.1098/rstb.1992.0002
165. Rolls, E. (2012). Invariant visual object and face recognition: neural and computational bases, and a model, visnet. Front. Comput. Neurosci. 6:35. doi: 10.3389/fncom.2012.00035
166. Rolls, E., Baylis, G., Hasselmo, M., and Nalwa, V. (1989). The effect of learning on the face selective responses of neurons in the cortex in the superior temporal sulcus of the monkey. Exp. Brain Res. 76, 153-164. doi: 10.1007/BF00253632
167. Rosch, E., Mervis, C. B. Gray, W. D., and Boyes-Braem, P. (1976). Basic objects in natural categories. Cogn. Psychol. 8, 382-439. doi: 10.1016/0010-0285(76)90013-X
168. Ross, D., Deroche, M., and Palermi, T. (2013). Not just the norm: exemplar-based models also predict face aftereffects. Psychon. Bull. Rev. doi: 10.3758/s13423-013-0449-5. [Epub ahead of print].
169. Rossion, B. (2013). The composite face illusion: a whole window into our understanding of holistic face perception. Vis. Cogn. 21, 139-253. doi: 10.1080/13506285.2013.772929
170. Rossion, B., and Jacques, C. (2008). Does physical interstimulus variance account for early electrophysiological face sensitive responses in the human brain? Ten lessons on the N170. Neuroimage 39, 1959-1979. doi: 10.1016/j.neuroimage.2007.10.011
171. Rossion, B., and Michel, C. (2011). "An experience-based holistic account of the other-race face effect," in Oxford Handbook of Face Perception, eds A. Calder, G. Rhodes, M. Johnson, and J. Haxby (Oxford: Oxford University Press), 215-243.
172. Sangrigoli, S., Pallier, C., Argenti, A. M. Ventureyra, V. A., and de Schonen, S. (2005). Reversibility of the other-race effect in face recognition during childhood. Psychol. Sci. 16, 440-444.
173. Scherf, K. S. Behrmann, M., Humphreys, K., and Luna, B. (2007). Visual category-selectivity for faces, places and objects emerges along different developmental trajectories. Dev. Sci. 10, F15-F30. doi: 10.1111/j.1467-7687.2007.00595.x
174. Schwarzer, G. (1997). Kategorisierung von Gesichten bei Kindern und Erwachsenen: Die Rolle konzeptuellen Wissens./Development of face categorization: the role of conceptual knowledge. Sprache Kognition 16, 14-30.
175. Sekuler, A., Gaspar, C., Gold, J., and Bennett, P. (2004). Inversion leads to quantitative, not qualitative, changes in face processing. Curr. Biol. 14, 391-396. doi: 10.1016/j.cub.2004.02.028
176. Sergent, J., Ohta, S., and MacDonald, B. (1992). Functional neuroanatomy of face and object processing. a positron emission tomography study. Brain 115, 15-36. doi: 10.1093/brain/115.1.15
177. Serre, T., Wolf, L., Bileschi, S., Riesenhuber, M., and Poggio, T. (2007). Robust object recognition with cortex-like mechanisms. IEEE Trans. Pattern Anal. Mach. Intell. 29, 411-426. doi: 10.1109/TPAMI.2007.56
178. Shepard, R. N., and Cooper, L. A. (1982). Mental Images and Their Transforms. 3rd Edn. Cambridge, MA: MIT Press.
179. Stone, J. (1998). Object recognition using spatio-temporal signatures. Vis. Res. 38, 947-951. doi: 10.1016/S0042-6989(97)00301-5
180. Susilo, T., McKone, E., and Edwards, M. (2010). Solving the upside-down puzzle: why do upright and inverted face aftereffects look alike? J. Vis. 10:1. doi: 10.1167/10.13.1
181. Takaki, M. (2012). Generate BibTeX entry from plain text. Online PERL script for generating references available at http://www.snowelm.com/~t/doc/tips/makebib.en.html
182. Talati, Z., Rhodes, G., and Jeffery, L. (2010). Now you see it now you don't: shedding light on the thatcher illusion. Psychol. Sci. 21, 219-221. doi: 10.1177/0956797609357854
183. Tan, C., Leibo, J. Z., and Poggio, T. (2013). "Throwing down the visual intelligence gauntlet," in Machine Learning for Computer Vision (Berlin: Springer), 1-15. doi: 10.1007/978-3-642-28661-2_1
184. Tanaka, J., and Farah, M. (1993). Parts and wholes in face recognition. Q. J. Exp. Psychol. A 46, 225-245. doi: 10.1080/14640749308401045
185. Tanaka, K., Saito, H., Fukada, Y., and Moriya, M. (1991). Coding visual images of objects in the inferotemporal cortex of the macaque monkey. J. Neurophysiol. 66, 170-189.
186. Tarr, M., and Bulthoff, H. (1998). Image-based object recognition in man, monkey and machine. Cognition 67, 1-20. doi: 10.1016/S0010-0277(98)00026-2
187. Tarr, M. J., and Cheng, Y. D. (2003). Learning to see faces and objects. Trends Cogn. Sci. 7, 23-30. doi: 10.1016/S1364-6613(02)00010-4
188. Thierry, G., Martin, C. D. Downing, P., and Pegna, A. J. (2007). Controlling for interstimulus perceptual variance abolishes N170 face selectivity. Nat. Neurosci. 10, 505-511.
189. Thompson, P. (1980). Margaret thatcher: a new illusion. Perception 9, 483-484. doi: 10.1068/p090483
190. Tomonaga, M. (2007). Visual search for orientation of faces by a chimpanzee (Pan troglodytes): face-specific upright superiority and the role of facial configural properties. Primates 48, 1-12. doi: 10.1007/s10329-006-0011-4
191. Torralba, A., Murphy, K. P., and Freeman, W. T. (2007). Sharing visual features for multiclass and multiview object detection. IEEE Trans. Pattern Anal. Mach. Intell. 29, 854-869. doi: 10.1109/TPAMI.2007.1055
192. Tovee, M. J. Rolls, E. T., and Ramachandran, V. S. (1996). Rapid visual learning in neurones of the primate temporal visual cortex. Neuroreport 7, 2757-2760. doi: 10.1097/00001756-199611040-00070
193. Tromans, J. M. Page, H. J. I., and Stringer, S. M. (2012). Learning separate visual representations of independently rotating objects. Netw. Comput. Neural Syst. 23, 1-23. doi: 10.3109/0954898X.2011.651520
194. Tsao, D., Freiwald, W., Tootell, R., and Livingstone, M. (2006). A cortical region consisting entirely of face-selective cells. Science 311, 670-674. doi: 10.1126/science.1119983
195. Tsao, D. Y., and Livingstone, M. S. (2008). Mechanisms of face perception. Annu. Rev. Neurosci. 31, 411-437. doi: 10.1146/annurev.neuro.30.051606.094238
196. Tsao, D. Y. Moeller, S., and Freiwald, W. A. (2008a). Comparing face patch systems in macaques and humans. Proc. Natl. Acad. Sci. U.S.A. 105, 19514-19519. doi: 10.1073/pnas.0809662105
197. Tsao, D. Y. Schweers, N., Moeller, S., and Freiwald, W. A. (2008b). Patches of face-selective cortex in the macaque frontal lobe. Nat. Neurosci. 11, 877-879. doi: 10.1038/nn.2158
198. Tsunoda, K., Yamane, Y., Nishizaki, M., and Tanifuji, M. (2001). Complex objects are represented in macaque inferotemporal cortex by the combination of feature columns. Nat. Neurosci. 4, 832-838. doi: 10.1038/90547
199. Ullman, S. (2006). Object recognition and segmentation by a fragment-based hierarchy. Trends Cogn. Sci. 11, 58-64. doi: 10.1016/j.tics.2006.11.009
200. Ungerleider, L., and Haxby, J. (1994). 'what' and 'where' in the human brain. Curr. Opin. Neurobiol. 4, 157-165. doi: 10.1016/0959-4388(94)90066-3
201. Valentin, D., Abdi, H., and Edelman, B. (1997). What represents a face? A computational approach for the integration of physiological and psychological data. Perception 26, 1271-1288. doi: 10.1068/p261271
202. Valentine, T. (1991). A unified account of the effects of distinctiveness, inversion and race in face recognition. Q. J. Exp. Psychol. 43, 671-703. doi: 10.1080/14640749108400966
203. Valentine, T. (2001). Face-Space Models of Face Recognition. Mahwah, NJ: Lawrence Erlbaum Associates.
204. Valentine, T., and Bruce, V. (1985). What's up? The margaret thatcher illusion revisited. Perception 14, 515-516. doi: 10.1068/p140515
205. Valentine, T., and Endo, M. (1992). Towards an exemplar model of face processing: the effects of race and distinctiveness. Q. J. Exp. Psychol. A Hum. Exp. Psychol. 44, 671-703. doi: 10.1080/14640749208401305
206. von der Heydt, R., and Peterhans, E. (1989). Mechanisms of contour perception in monkey visual cortex i: lines of pattern discontinuity. J. Neurosci. 9, 1731-1748.
207. von der Malsburg, C. (1973). Self-organization of orientation sensitive cells in the striate cortex. Kybernetik 14, 85-100. doi: 10.1007/BF00288907 Reprinted in Anderson and Rosenfeld (1988).
208. Vuong, Q., and Tarr, M. (2004). Rotation direction affects object recognition. Vis. Res. 44, 1717-1730. doi: 10.1016/j.visres.2004.02.002
209. Wachsmuth, E., Oram, M. W., and Perrett, D. I. (1994). Recognition of objects and their component parts responses of single units in the temporal cortex of the macaque. Cereb. Cortex 4, 509-522. doi: 10.1093/cercor/4.5.509
210. Wallis, G. (1998). Spatio-temporal influences at the neural level of object recognition. Netw. Comput. Neural Syst. 9, 265-278. doi: 10.1088/0954-898X/9/2/007
211. Wallis, G. (2002). The role of object motion in forging long-term representations of objects. Vis. Cogn. 9, 233-247. doi: 10.1080/13506280143000412
212. Wallis, G., Backus, B., Langer, M., Huebner, G., and Bülthoff, H. (2009). Learning, illumination- and orientation-invariant representations of objects through temporal association. J. Vis. 9:6. doi: 10.1167/9.7.6
213. Wallis, G., and Bülthoff, H. (1999). Learning to recognize objects. Trends Cogn. Sci. 3, 22-31. doi: 10.1016/S1364-6613(98)01261-3
214. Wallis, G., and Bülthoff, H. (2001). Effects of temporal association on recognition memory. Proc. Natl. Acad. Sci. U.S.A. 98, 4800-4804. doi: 10.1073/pnas.071028598
215. Wallis, G., and Rolls, E. (1997). A model of invariant object recognition in the, visual system. Prog. Neurobiol. 51, 167-194. doi: 10.1016/S0301-0082(96)00054-8
216. Wallis, G., Rolls, E., and Földiák, P. (1993). "Learning invariant responses to the natural, transformations of objects," in International Joint Conference on Neural Networks, Vol. 2 (Nagoya Japan), 1087-1090.
217. Wallis, G., Siebeck, U. E. Swann, K., Blanz, V., and Bülthoff(2008). The prototype effect revisited: evidence for an abstract feature model of face recognition. J. Vis. 8:20. doi: 10.1167/8.3.20
218. Wang, G., Tanaka, K., and Tanifuji, M. (1996). Optical imaging of functional organization in the monkey inferotemporal cortex. Science 272, 1665-1668. doi: 10.1126/science.272.5268.1665
219. Weiner, K., and Grill-Spector, K. (2012). The improbable simplicity of the fusiform face area. Trends Cogn. Sci. 16, 251-254. doi: 10.1016/j.tics.2012.03.003
220. Willshaw, D., and von der Malsburg, C. (1976). How patterned neural connections can be set up by self organisation. Proc. R. Soc. Lond. B 194, 431-445. doi: 10.1098/rspb.1976.0087
221. Wong, A. C.-N., Palmeri, T. J., and Gauthier, I. (2009a). Conditions for facelike expertise with objects becoming a ziggerin expert-but which type? Psychol. Sci. 20, 1108-1117. doi: 10.1111/j.1467-9280.2009.02430.x
222. Wong, A. C. N. Palmeri, T. J. Rogers, B. P. Gore, J. C., and Gauthier, I. (2009b). Beyond shape: how you learn about objects affects how they are represented in visual cortex. PLoS ONE 4:e8405. doi: 10.1371/journal.pone.0008405
223. Yamane, S., Kaji, S., and Kawano, K. (1988). What facial features activate face neurons in the inferotemporal cortex. Exp. Brain Res. 73, 209-214. doi: 10.1007/BF00279674
224. Yin, R. (1969). Looking at upside down faces. J. Exp. Psychol. 81, 141-145. doi: 10.1037/h0027474
225. Young, A. W. Hellawell, D., and Hay, D. C. (1987). Configurational information in face perception. Perception 16, 747-759. doi: 10.1068/p160747
226. Young, M., and Yamane, S. (1992). Sparse population coding of faces in the inferotemporal cortex. Science 256, 1327-1331. doi: 10.1126/science.1598577
227. Yovel, G., and Duchaine, B. (2006). Specialized face perception mechanisms extract both part and spacing information: evidence from developmental prosopagnosia. J. Cogn. Neurosci. 18, 4. doi: 10.1162/jocn.2006.18.4.580
228. Yovel, G., and Kanwisher, N. (2005). The neural basis of the behavioral face-inversion effect. Curr. Biol. 15, 2256-2262. doi: 10.1016/j.cub.2005.10.072
229. Zangenehpour, S., and Chaudhuri, A. (2005). Patchy organization and asymmetric distribution of the neural correlates of face processing in monkey inferotemporal cortex. Curr. Biol. 15, 993-1005. doi: 10.1016/j.cub.2005.04.031
230. Zhao, L., and Bentin, S. (2008). Own- and other-race categorization of faces by race, gender, and age. Psychon. Bull. Rev. 15, 1093-1099. doi: 10.3758/PBR.15.6.1093