Not just the norm: Exemplar-based models also predict face aftereffects

Psychonomic Bulletin and Review

Volumn 21, Issue 1, 2014, Pages 47-70

  Ross, David A ^a   Deroche, Mickael ^b   Palmeri, Thomas J ^a  

^a VANDERBILT UNIVERSITY   (United States)

^b UNIVERSITY OF MARYLAND   (United States)

Author keywords

Categorization; Computational modeling; Face recognition; Mathematical models

Indexed keywords

ARTICLE; CONCEPT FORMATION; FACE; HUMAN; PATTERN RECOGNITION; PSYCHOLOGICAL MODEL; RECOGNITION;

CONCEPT FORMATION; FACE; HUMANS; MODELS, PSYCHOLOGICAL; PATTERN RECOGNITION, VISUAL; RECOGNITION (PSYCHOLOGY);

EID: 84885348240     PISSN: 10699384     EISSN: 15315320     Source Type: Journal    
DOI: 10.3758/s13423-013-0449-5     Document Type: Article

References (75)

1. Ashby, F. G. (Ed.). (1992). Multidimensional models of perception and cognition. Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
2. Benson, P. J., & Perrett, D. I. (1994). Visual processing of facial distinctiveness. Perception, 23, 75-93.
3. Busemeyer, J. R., Dewey, G. I., & Medin, D. L. (1984). Evaluation of exemplar-based generalization and the abstraction of categorization information. Journal of Experimental Psychology: Learning, Memory, and Cognition, 10, 638-648.
4. Burton, A. M., Bruce, V., & Dench, N. (1994). What's distinctive about a distinctive face? The Quarterly Journal of Experimental Psychology, 47A, 119-141.
5. Burton, A. M., Bruce, V., & Hancock, P. J. B. (1999). From pixels to people: A model of familiar face recognition. Cognitive Science, 23, 1-31.
6. Burton, A. M., & Vokey, J. R. (1998). The face-space typicality paradox: Understanding the faces-space metaphor. The Quarterly Journal of Experimental Psychology, 51A, 475-483.
7. Dailey, M. N., & Cottrell, G. W. (1999). Organization of face and object recognition in modular neural network models. Neural Networks, 12, 1053-1073.
8. DiCarlo, J. J., & Cox, D. D. (2007). Untangling invariant object recognition. Trends in Cognitive Sciences, 11, 333-341.
9. Edelman, S. (1999). Representation and recognition in vision. Cambridge, MA: MIT Press.
10. Farrell, S., & Lewandowsky, S. (2010). Computational models as aids to better reasoning in psychology. Current Directions in Psychological Science, 19(5), 329-335.
11. Gibson, J. J., & Radner, M. (1937). Adaptation, after-effect, and contrast in the perception of tilted lines. I. Quantitative studies. Journal of Experimental Psychology, 20, 453-467.
12. Giese, M. A., & Leopold, D. A. (2005). Physiologically inspired neural model for the encoding of face spaces. Neurocomputing, 65-66, 93-101.
13. Griffin, J. H., McOwan, W. P., & Johnston, A. (2011). Relative faces: Encoding of family resemblance relative to gender means in face space. Journal of Vision, 11(12), 1-11.
14. Grill-Spector, K., Henson, R., & Martin, A. (2006). Repetition and the brain: Neural models of stimulus-specific effects. Trends in Cognitive Sciences, 10(1), 14-23.
15. Hancock, P. J. B., & Little, A. (2011). Adaptation may cause some of the face caricature effect. Perception, 40(3), 317-322.
16. Hills, P. J., Elward, R. L., & Lewis, M. B. (2010). Cross-modal face identity aftereffects and their relation to priming. Journal of Experimental Psychology. Human Perception and Performance, 36(4), 876-891.
17. Hintzman, D. L. (1990). Human learning and memory: Connections and dissociations. Annual Review of Psychology, 41, 109-139.
18. Jeffery, L., McKone, E., Haynes, R., Firth, E., Pellicano, E., & Rhodes, G. (2010). Four to-six-year-old children use norm-based coding in face-space. Journal of Vision, 10(5), 1-19.
19. Jeffery, L., & Rhodes, G. (2011). Insights into the development of face recognition mechanisms revealed by face aftereffects. British Journal of Psychology, 102, 799-815.
20. Jiang, F., Blanz, V., & O'Toole, A. J. (2009). Three-dimensional information in face representations revealed by identity aftereffects. Psychological Science, 20(3), 318-325.
21. Jiang, X., Rosen, E., Zeffiro, T., VanMeter, J., Blanz, V., & Riesenhuber, M. (2006). Evaluation of a shape-based model of human face discrimination using fMRI and behavioral techniques. Neuron, 50, 159-172.
22. Kruschke, J. K. (1992). ALCOVE: An exemplar-based connectionist model of category learning. Psychological Review, 99(1), 22-44.
23. Lee, K. J., & Perrett, D. I. (1997). Presentation-time measures of the effects of manipulations in colour space on discrimination of famous faces. Perception, 26(6), 733-752.
24. Leopold, D. A., & Bondar, I. (2005). Adaptation to complex visual patterns in humans and monkeys. In C. W. G. Clifford & G. Rhodes (Eds.), Fitting the mind to the world: Adaptation and after-effects in high-level vision (pp. 213-240). Oxford: Oxford University Press.
25. Leopold, D. A., O'Toole, A. J., Vetter, T., & Blanz, V. (2001). Prototype-referenced shape encoding revealed by high-level aftereffects. Nature Neuroscience, 4(1), 89-94.
26. Lewis, M. B. (2004). Face-space-R: Towards a unified account of face recognition. Visual Cognition, 11, 29-69.
27. Lewis, M. B., & Johnston, R. A. (1998). Understanding caricatures of faces. Quarterly Journal of Experimental Psychology, 51A, 321-346.
28. Lewis, M. B., & Johnston, R. A. (1999). A unified account of the effects of caricaturing faces. Visual Cognition, 6, 1-41.
29. Loffler, G., Yourganov, G., Wilkinson, F., & Wilson, H. R. (2005). fMRI evidence for the neural representation of faces. Nature Neuroscience, 8, 1386-1390.
30. Luce, R. D. (1963). Detection and recognition. In R. D. Luce, R. R. Bush, & E. Galanter (Eds.), Handbook of Mathematical Psychology, I (pp. 103-189). New York: Wiley.
31. Mack, M. L., & Palmeri, T. J. (2010). Modeling categorization of scenes containing consistent versus inconsistent objects. Journal of Vision, 10(3), 11. 1-11.
32. Mather, G., Verstraten, F., & Anstis, S. (Eds.). (1998). The Motion Aftereffect: A Modern Perspective. Cambridge, MA: MIT Press.
33. Nishimura, M., Doyle, J., Humphreys, K., & Behrmann, M. (2010). Probing the face space of individuals with prosopagnosia. Neuropsychologia, 48, 1828-1841.
34. Nishimura, M., Maurer, D., Jeffery, L., Pellicano, E., & Rhodes, G. (2008). Fitting the child's mind to the world: Adaptive norm-based coding of facial identity in 8-year olds. Developmental Science, 11(4), 620-627.
35. Nishimura, M., Robertson, C., & Maurer, D. (2011). Effect of adaptor duration on 8 year olds' facial identity aftereffects suggests adult-like plasticity of the face norm. Vision Research, 51, 1216-1222.
36. Nosofsky, R. M. (1986). Attention, similarity, and the identification-categorization relationship. Journal of Experimental Psychology. General, 115(1), 39-57.
37. Nosofsky, R. M. (1992). Exemplar-based approach to relating categorization, identification, and recognition. In F. G. Ashby (Ed.), Multidimensional models of perception and cognition. Scientific psychology series (pp. 363-393). Hillsdale, NJ: Lawrence Erlbaum Associates, Inc.
38. O'Toole, A. J., Abdi, H., Deffenbacher, K., & Valentin, D. (1993). Low-dimensional representation of faces in higher dimensions of the face space. Journal of the Optical Society of America, 10, 405-411.
39. Palermo, R., Rivolta, D., Wilson, C. E., & Jeffery, L. (2011). Adaptive face space coding in congenital prosopagnosia: Typical figural aftereffects but abnormal identity aftereffects. Neuropsychologia.
40. Palmeri, T. J. (1997). Exemplar similarity and the development of automaticity. Journal of Experimental Psychology: Learning, Memory, and Cognition, 23, 324-354.
41. Palmeri, T. J., & Cottrell, G. W. (2010). Modeling perceptual expertise. In I. Gauthier, M. J. Tarr, & D. Bub (Eds.), Perceptual Expertise: Bridging Brain and Behavior (pp. 197-244). Oxford: Oxford University Press.
42. Palmeri, T. J., & Flanery, M. A. (1999). Learning about categories in the absence of training: Profound amnesia and the relationship between perceptual categorization and recognition memory. Psychological Science, 10, 526-530.
43. Palmeri, T. J., & Flanery, M. A. (2002). Memory systems and perceptual categorization. In B. H. Ross (Ed.), The Psychology of Learning and Motivation (Volume 41), Academic Press.
44. Palmeri, T. J., & Nosofsky, R. M. (2001). Central tendencies, extreme points, and prototype enhancement effects in ill-defined perceptual categorization. Quarterly Journal of Experimental Psychology: Human Experimental Psychology, 54A(1), 197-235.
45. Palmeri, T. J., & Tarr, M. (2008). Visual object perception and long-term memory. In S. Luck & A. Hollingworth (Eds.), Visual Memory (pp. 163-207). Oxford: University Press.
46. Palmeri, T. J., Wong, A. C.-N., & Gauthier, I. (2004). Computational approaches to the development of perceptual expertise. Trends in Cognitive Science, 8, 378-386.
47. Pellicano, E., Jeffery, L., Burr, D., & Rhodes, G. (2007). Abnormal adaptive face-coding mechanisms in children with autism spectrum disorder. Current Biology, 17, 1508-1512.
48. Purcell, B. A., Schall, J. D., Logan, G. D., & Palmeri, T. J. (2012). Gated stochastic accumulator model of visual search decisions in FEF. Journal of Neuroscience.
49. Riesenhuber, M., & Poggio, T. (1999). Hierarchical models of object recognition in cortex. Nature Neuroscience, 2, 1019-1025.
50. Rhodes, G. (1996). Superportraits: Caricatures and recognition. Hove, UK: Psychology Press.
51. Rhodes, G., Brennan, S., & Carey, S. (1987). Identification and ratings of caricatures: Implications for mental representations of faces. Cognitive Psychology, 19, 473-497.
52. Rhodes, G., Carey, S., Byatt, G., & Proffitt, F. (1998). Coding spatial variations in faces and simple shapes: A test of two models. Vision Research, 38, 2307-2321.
53. Rhodes, G., & Jaquet, E. (2011). Aftereffects reveal that adaptive face-coding mechanisms are selective for race and sex. In R. A. Adams Jr., N. Amabady, K. Nakayama, & S. Shimojo (Eds.), The science of social vision. New York: Oxford University Press.
54. Rhodes, G., Jaquet, E., Jeffery, L., Evangelista, E., Kean, J., & Calder, A. J. (2011). Sex specific norms code face identity. Journal of Vision, 11(1), 1-11.
55. Rhodes, G., & Jeffery, L. (2006). Adaptive norm-based coding of facial identity. Vision Research, 46, 2977-2987.
56. Rhodes, G., & Leopold, D. A. (2011). Adaptive norm-based coding of face identity. In A. W. Calder, G. Rhodes, M. H. Johnston, & J. V. Haxby (Eds.), Oxford handbook of face perception. Oxford: Oxford University Press.
57. Rhodes, G., Robbins, R., Jaquet, E., McKone, E., Jeffery, L., & Clifford, C. W. G. (2005). Adaptation and face perception - how aftereffects implicate norm-based coding of faces. In C. W. G. Clifford & G. Rhodes (Eds.), Fitting the mind to the world: Adaptation and after-effects in high-level vision (pp. 213-240). Oxford: Oxford University Press.
58. Rhodes, G., & Tremewan, T. (1994). Understanding face recognition: Caricature effects, inversion and the homogeneity problem. Visual Cognition, 1, 275-311.
59. Rhodes, G., Watson, T. L., Jeffery, L., & Clifford, C. W. G. (2010). Perceptual adaptation helps us identify faces. Vision Research, 50, 963-968.
60. Richler, J. J., Mack, M. L., Gauthier, I., Palmeri, T. J. (2007). Distinguishing between perceptual and decisional sources of holism in face processing. In the Proceedings of the Twenty-Ninth Annual Meeting of the Cognitive Science Society.
61. Robbins, R., McKone, E., & Edwards, M. (2007). Aftereffects for face attributes with different natural variability: Adaptor position effects and neural models. Journal of Experimental Psychology. Human Perception and Performance, 33(3), 570-592.
62. Roberts, S., & Pashler, H. (2000). How persuasive is a good fit? A comment on theory testing. Psychological Review, 107(2), 358-367.
63. Serre, T., Oliva, A., & Poggio, T. (2007). A feedforward architecture accounts for rapid categorization. Proceedings of the National Academy of Sciences, 104(15), 6424-6429.
64. Short, L. A., Hatry, A. J., & Mondloch, C. J. (2011). The development of norm-based coding and race-specific face prototypes: An examination of 5- and 8-year olds' face space. Journal of Experimental Child Psychology, 108, 338-357.
65. Skinner, A. L., & Benton, C. P. (2010). Anti-expression aftereffects reveal prototype- referenced coding of facial expressions. Psychological Science, 21(9), 1248-1253.
66. Susilo, T., McKone, E., & Edwards, M. (2010a). Solving the upside-down puzzle: Why do upright and inverted face aftereffects look alike? Journal of Vision, 10(13), 1-16.
67. Susilo, T., McKone, E., & Edwards, M. (2010b). What shape are the neural response functions underlying opponent coding in face space? A psychophysical investigation. Vision Research, 50, 300-314.
68. Troje, N. F., & Bulthoff, H. H. (1996). Face recognition under varying poses: The role of texture and shape. Vision Research, 36(12), 1761-1771.
69. Tsao, D. Y., & Freiwald, W. A. (2006). What's so special about the average face? Trends in Cognitive Sciences, 10, 391-393.
70. Tsao, D. Y., & Livingstone, M. S. (2008). Neuralmechanisms for face perception. Annual Review of Neuroscience, 31, 411-438.
71. Valentine, T. (1991). A unified account of the effects of distinctiveness, inversion and race in face recognition. Quarterly Journal of Experimental Psychology, 43A, 161-204.
72. Webster, W. A., & MacLeod, D. I. A. (2011). Visual adaptation and face perception. Philosophical Transactions of the Royal Society B: Biological Sciences, 366, 1702-1725.
73. Webster, M. A., & MacLin, O. H. (1999). Figural after-effects in the perception of faces. Psychonomic Bulletin & Review, 6, 647-653.
74. Widrow, B., & Hoff, M. E. (1960). Adaptive switching circuits. 1960 WESCON Convention Record Part IV (pp. 96-104).
75. Zhao, C., Series, P., Hancock, P. J. B., & Bednar, J. (2011). Similar neural adaptation mechanisms underlying face gender and tilt aftereffects. Vision Research, 51(18), 2021-2030.