Visual Object Perception and Long-term Memory

Visual Memory

Volumn , Issue , 2008, Pages

  Palmeri, Thomas J ^a   Tarr, Michael J ^b  

^a VANDERBILT UNIVERSITY   (United States)

^b BROWN UNIVERSITY   (United States)

Author keywords

Abstraction; Functional systems; Memory; Object memory; Perception

Indexed keywords

EID: 84920613110     PISSN: None     EISSN: None     Source Type: Book    
DOI: 10.1093/acprof:oso/9780195305487.003.0006     Document Type: Chapter

References (229)

1. Ahissar, M., and Hochstein, S. (2004). The reverse hierarchy theory of visual perceptual learning. Trends in Cognitive Sciences 8:457-464.
2. Anderson, J. R. (1976). Language, Memory, and Thought. Hillsdale, NJ: Erlbaum.
3. Anderson, J. R. (1978). Arguments concerning representations for mental imagery. Psychological Review 85:249-277.
4. Ashby, F. G., Alfonso-Reese, L. A., Turken, A. U., and Waldron, E. M. (1998). A formal neuropsychological theory of multiple systems in category learning. Psychological Review 105:442-481.
5. Ashby, F. G., Queller, S., and Berretty, P. M. (1999). On the dominance of unidimensional rules in unsupervised categorization. Perception and Psychophysics 61:1178-1199.
6. Ashby, F. G., and Townsend, J. T. (1986). Varieties of perceptual independence. Psychological Review 93:154-179.
7. Atkinson, R. C., and Shiffrin, R. M. (1968). Human memory: A proposed system and its control processes. In The Psychology of Learning and Memory, Vol. 2, eds. K. W. Spence and J. T. Spence. New York: Academic Press.
8. Barsalou, L. W. (1990). On the indistinguishability of exemplar memory and abstraction in category representation. In Content and Process Specificity in the Effects of Prior Experiences, eds. T. K. Srull and R. S. Wyer, Jr., 61-88. Hillsdale, NJ: Lawrence Erlbaum.
9. Barsalou, L. W. (1999). Perceptual symbol systems. Behavioral and Brain Sciences 22:577-660.
10. Barsalou, L. W., Simmons, W. K., Barbey, A. K., and Wilson, C. D. (2003). Grounding conceptual knowledge in modality-specific systems. Trends in Cognitive Sciences 7:84-91.
11. Barenholtz, E., and Tarr, M. J. (2007). Reconsidering the role of structure in vision. In Categories in Use. Series: The Psychology of Learning and Motivation, Vol. 47, eds. A. Markman and B. Ross, 157-180. San Diego: Academic Press.
12. Barenholtz, E., and Tarr, M. J. (2006). Shape shifters: Visual judgment of similarity across shape transformations. Journal of Vision, 6, 606.
13. Beauregard, M., and Paquette, V. (2006). Neural correlates of a mystical experience in Carmelite nuns. Neuroscience Letters 405:186-190.
14. Biederman, I. (1987). Recognition-by-components: A theory of human image understanding. Psychological Review 94:115-147.
15. Biederman, I., and Gerhardstein, P. C. (1993). Recognizing depth-rotated objects: Evidence and conditions for three-dimensional viewpoint invariance. Journal of Experimental Psychology: Human Perception and Performance 19:1162-1182.
16. Biederman, I., and Shiffrar, M. M. (1987). Sexing day-old chicks: A case study and expert systems analysis of a difficult perceptual-learning task. Journal of Experimental Psychology: Learning, Memory, and Cognition 13:640-645.
17. Bienenstock, E., and Geman, S. (1995). Compositionality in Neural Systems. In The Handbook of Brain Theory and Neural Networks, ed. M. A. Arbib, 223-226. Cambridge, MA: MIT Press.
18. Blanz, V., Tarr, M. J., and Bülthoff, H. H. (1999). What object attributes determine canonical views? Perception 28:575-600.
19. Boucher, L., Palmeri, T. J., Logan, G. D., and Schall, J. D. (2007). Interactive race model of countermanding saccades. Psychological Review, 114, 376-397.
20. Brewer, W. F., and Treyens, J. C. (1981). Role of schemata in memory for places. Cognitive Psychology 13:207-230.
21. Brooks, L. R., Norman, G. R., and Allen, S. W. (1991). Role of specific similarity in a medical diagnostic task. Journal of Experimental Psychology: General 120:278-287.
22. Bruner, J. S., Goodnow, J. J., and Austin, G. A. (1956). A Study of Thinking. Oxford, England: Wiley.
23. Bülthoff, H. H., and Edelman, S. (1992). Psychophysical support for a two-dimensional view interpolation theory of object recognition. Proceedings of the National Academy of Sciences 89:60-64.
24. Busemeyer, J. R., Dewey, G. I., and Medin, D. L. (1984). Evaluation of exemplar-based generalization and the abstraction of categorical information. Journal of Experimental Psychology: Learning, Memory, and Cognition 10:638-648.
25. Cave, C. B. (1997). Very long-lasting priming in picture naming. Psychological Science 8:322-325.
26. Chun, M. M., and Phelps, E. A. (1999). Memory deficits for implicit contextual information in amnesic subjects with hippocampal damage. Nature Neuroscience 2:844-847.
27. Cohen, N.J., Eichenbaum, H. (1993). Memory, Amnesia, and the Hippocampal System. Cambridge, MIT Press.
28. Collins, A. M., and Quillian, M. R. (1969). Retrieval time from semantic memory. Journal of Verbal Learning and Verbal Behavior 8:240-247.
29. de Beeck, H. O., Wagemans, J., and Vogels, R. (2003). The effect of category learning on the representation of shape: Dimensions can be biased but not differentiated. Journal of Experimental Psychology: General 132:491-511.
30. Diamond, R., and Carey, S. (1986). Why faces are and are not special: An effect of expertise. Journal of Experimental Psychology: General 115:107-117.
31. Dobbins, I. G., Schnyer, D. M., Verfaellie, M., and Schacter, D. L. (2004). Cortical activity reductions during repetition priming can result from rapid response learning. Nature 428:316-319.
32. Dosher, B. A., and Lu, Z. L. (1999). Mechanisms of perceptual learning. Vision Research 39:3197-3221.
33. Edelman, S. (1995). Representation, similarity, and the chorus of prototypes. Minds and Machines 5:45-68.
34. Edelman, S. (1997). Computational theories of object recognition. Trends in Cognitive Science 1:296-304.
35. Edelman, S. (1999). Representation and Recognition in Vision. Cambridge, MA: MIT Press.
36. Edelman, S., and Bülthoff, H. H. (1992). Orientation dependence in the recognition of familiar and novel views of three-dimensional objects. Vision Research 32:2385-2400.
37. Farah, M. J. (1990). Visual Agnosia: Disorders of Object Recognition and What They Tell Us about Normal Vision. Cambridge, MA: MIT Press.
38. Farah, M. J., Wilson, K. D., Drain, M., and Tanaka, J. N. (1998). What is "special" about face perception? Psychological Review 105:482-498.
39. Fisher, H. E., Aron, A., and Brown, L. L. (2006). Romantic love: A mammalian brain system for mate choice. Philosophical Transactions of the Royal Society of London. B: Biological Sciences 361:2173-2186.
40. Fodor, J. A. (1975). The Language of Thought. Cambridge, MA: Harvard University Press.
41. Fodor, J. A. (1983). Modularity of Mind. Cambridge, MA: MIT Press.
42. Garner, W. R. (1974). The Processing of Information and Structure. Potomac, MD: Erlbaum.
43. Gauthier, I., and Brown, D. D. (2004). The Perceptual Expertise Network: Innovation on collaboration [Electronic Version]. APA Online: Psychological Science Agenda from .
44. Gauthier, I., Curby, K. M., Skudlarski, P., and Epstein, R. A. (in press). Individual differences in FFA activity suggest independent processing at different spatial scales. Cognitive and Affective Behavioral Neuroscience.
45. Gauthier, I., Curran, T., Curby, K. M., and Collins, D. (2003). Perceptual interference supports a non-modular account of face processing. Nature Neuroscience 6:428-432.
46. Gauthier, I., Hayward, W. G., Tarr, M. J., Anderson, A. W., Skudlarski, P., and Gore, J. C. (2002). BOLD activity during mental rotation and viewpoint-dependent object recognition. Neuron 34:161-171.
47. Gauthier, I., and Palmeri, T. J. (2002). Visual neurons: Categorization-based selectivity. Current Biology 12:R282-284.
48. Gauthier, I., Skudlarski, P., Gore, J. C., and Anderson, A. W. (2000). Expertise for cars and birds recruits brain areas involved in face recognition. Nature Neuroscience 3:191-197.
49. Gauthier, I., and Tarr, M. J. (1997). Becoming a "greeble" expert: Exploring mechanisms for face recognition. Vision Research 37:1673-1682.
50. Gauthier, I., and Tarr, M. J. (2002). Unraveling mechanisms for expert object recognition: Bridging brain activity and behavior. Journal of Experimental Psychology: Human Perception and Performance 28:431-446.
51. Gauthier, I., Tarr, M. J., Anderson, A. W., Skudlarski, P., and Gore, J. C. (1999). Activation of the middle fusiform "face area" increases with expertise in recognizing novel objects. Nature Neuroscience 2:568-573.
52. Gauthier, I., Williams, P., Tarr, M. J., and Tanaka, J. (1998). Training "greeble" experts: A framework for studying expert object recognition processes. Vision Research 38:2401-2428.
53. Gillund, G., and Shiffrin, R. M. (1984). A retrieval model for both recognition and recall. Psychological Review 91:1-67.
54. Gluck, M. A., Meeter, M., and Myers, C. E. (2003). Computational models of the hippocampal region: Linking incremental learning and episodic memory. Trends in Cognitive Sciences 7:269-276.
55. Gold, J. I., and Shadlen, M. N. (2001). Neural computations that underlie decisions about sensory stimuli. Trends in Cognitive Sciences 5:10-16.
56. Goldstone, R. L. (2003). Learning to perceive while perceiving to learn. In Perceptual Organization in Vision: Behavioral and Neural Perspectives, eds. R. Kimchi, M. Behrmann and C. R. Olson, 233-280. Mahwah, NJ: Lawrence Erlbaum Associates.
57. Goodale, M. A., and Milner, A. D. (1992). Separate visual pathways for perception and action. Trends in Neurosciences 15:20-25.
58. Grill-Spector, K., Kanwisher, N. (2003). Visual recognition: As soon as you know it is there, you know what it is. Psychological Science 16:152-160.
59. Grill-Spector, K., Knouf, N., and Kanwisher, N. (2004). The fusiform face area subserves face perception, not generic within-category identification. Nature Neuroscience 7(5):555-562.
60. Haxby, J. V., Gobbini, M. I., Furey, M. L., Ishai, A., Schouten, J. L., and Pietrini, P. (2001). Distributed and overlapping representations of faces and objects in ventral temporal cortex. Science 293:2425-2430.
61. Hayward, W. G., and Tarr, M. J. (1997). Testing conditions for viewpoint invariance in object recognition. Journal of Experimental Psychology: Human Perception and Performance 23:1511-1521.
62. Hintzman, D. L. (1986). "Schema abstraction" in a multiple-trace memory model. Psychological Review 93:411-428.
63. Hintzman, D. L. (1988). Judgments of frequency and recognition memory in a multipletrace memory model. Psychological Review 95:528-551.
64. Hollingworth, A. (2004). Constructing visual representations of natural scenes: The roles of short-and long-term visual memory. Journal of Experimental Psychology: Human Perception and Performance 30:519-537.
65. Hollingworth, A. (2005). The relationship between online visual representation of a scene and long-term scene memory. Journal of Experimental Psychology: Learning, Memory, and Cognition 31:396-411.
66. Hollingworth, A. (2006). Scene and position specificity in visual memory for objects. Journal of Experimental Psychology: Learning, Memory, and Cognition 32:58-69.
67. Hollingworth, A. (in press). Visual memory for natural scenes: Evidence from change detection and visual search. Visual Cognition: Special Issue on Visual Search and Attention.
68. Hollingworth, A., and Henderson, J. M. (2002). Accurate visual memory for previously attended objects in natural scenes. Journal of Experimental Psychology: Human Perception and Performance 28:113-136.
69. Hummel, J. E. (1998). Where view-based theories break down: The role of structure in shape perception and object recognition. In Cognitive Dynamics: Conceptual Change in Humans and Machines, eds. E. Dietrich and A. Markman. Cambridge, MA: MIT Press.
70. Hummel, J. E., and Biederman, I. (1992). Dynamic binding in a neural network for shape recognition. Psychological Review 99(3):480-517.
71. Humphrey, G. K., and Khan, S. C. (1992). Recognizing novel views of three-dimensional objects. Canadian Journal of Psychology 46:170-190.
72. Johansen, M. K., and Palmeri, T. J. (2002). Are there representational shifts during category learning? Cognitive Psychology 45:482-553.
73. Johanson, G. (1973). Visual perception of biological motion and a model for its analysis. Perception and Psychophysics 14:201-211.
74. Johnson, K. E., and Mervis, C. B. (1997). Effects of varying levels of expertise on the basic level of categorization. Journal of Experimental Psychology: General 126:248-277.
75. Jolicoeur, P. (1985). The time to name disoriented natural objects. Memory and Cognition 13:289-303.
76. Jolicoeur, P., Gluck, M. A., and Kosslyn, S. M. (1984). Pictures and names: Making the connection. Cognitive Psychology, 16, 243-275.
77. Joyce, C., and Cottrell, G. W. (2004). Solving the visual expertise mystery. Paper presented at the Proceedings of the Eighth Neural Computation and Psychology Workshop.
78. Kamitanmitani, Y., and Tong, F. (2005). Decoding the visual and subjective contents of the human brain. Nature Neuroscience 8:679-685.
79. Kanwisher, N., McDermott, J., and Chun, M. M. (1997). The fusiform face area: A module in human extrastriate cortex specialized for face perception. Journal of Neuroscience 17:4302-4311.
80. Kersten, D., Mamassian, P., and Yuille, A. (2004). Object perception as Bayesian inference. Annual Review of Psychology 55:271-304.
81. Kinder, A., and Shanks, D. R. (2001). Amnesia and the declarative/nondeclarative distinction: A recurrent network model of classification, recognition, and repetition priming. Journal of Cognitive Neuroscience 13:648-669.
82. Knowlton, B., and Squire, L. R. (1993). The learning of categories: Parallel brain systems for item memory and category knowledge. Science 262:1747-1749.
83. Kolers, P. A. (1976). Reading a year later. Journal of Experimental Psychology: Human Learning and Memory 2:554-565.
84. Kruschke, J. K. (1992). ALCOVE: An exemplar-based connectionist model of category learning. Psychological Review 99:22-44.
85. Lakoff, G. (1987). Women, Fire, and Dangerous Things: What Categories Reveal about the Mind. Chicago: University of Chicago Press.
86. Lamberts, K. (1998). The time course of categorization. Journal of Experimental Psychology: Learning, Memory, and Cognition 24:695-711.
87. Lamberts, K. (2000). Information-accumulation theory of speeded categorization. Psychological Review 107:227-260.
88. Lawson, R., and Humphreys, G. W. (1996). View specificity in object processing: Evidence from picture matching. Journal of Experimental Psychology: Human Perception and Performance 22:395-416.
89. Lee, M. D., and Navarro, D. J. (2002). Extending the ALCOVE model of category learning to featural stimulus domains. Psychonomic Bulletin and Review 9:43-58.
90. Link, S. W. (1975). The relative judgment theory of two choice response time. Journal of Mathematical Psychology 12:114-135.
91. Lissauer, H. (1890). Ein fall von seelenblindheit nebst einem Beitrage zur Theori derselben. Archiv fur Psychiatrie und Nervenkrankheiten 21:222-270.
92. Loftus, E. F. (2004). Memories of things unseen. Current Directions in Psychological Science 13:145-147.
93. Logan, G. D. (1988). Toward an instance theory of automatization. Psychological Review 95(4):492-527.
94. Logan, G. D. (1990). Repetition priming and automaticity: Common underlying mechanisms? Cognitive Psychology 22:1-35.
95. Logan, G. D. (2002). An instance theory of attention and memory. Psychological Review 109:376-400.
96. Logothetis, N. K., and Pauls, J. (1995). Psychophysical and physiological evidence for viewer-centered object representations in the primate. Cerebral Cortex 5:270-288.
97. Logothetis, N. K., and Sheinberg, D. L. (1996). Visual object recognition. Annual Review of Neuroscience 19:577-621.
98. Luce, R. D. (1986). Response Times: Their Role in Inferring Elementary Mental Organization. New York: Oxford University Press.
99. Luria, A. R. (1987). The Mind of a Mnemonist. Cambridge, MA: Harvard.
100. Marr, D. (1982). Vision: A Computational Investigation into the Human Representation and Processing of Visual Information. San Francisco: Freeman.
101. Marr, D., and Nishihara, H. K. (1978). Representation and recognition of the spatial organization of three-dimensional shapes. Proceedings of the Royal Society of London. Series B, Biological Sciences 200:269-294.
102. Martin, A., Ungerleider, L. G., and Haxby, J. V. (2000). Category specificity and the brain: The sensory/motor model of semantic representations of objects. In The New Cognitive Neurosciences, ed. M. S. Gazzaniga. Cambridge: MIT Press.
103. Maurer, D., Grand, R. L., and Mondloch, C. J. (2002). The many faces of configural processing. Trends in Cognitive Science 6:255-260.
104. McCandliss, B. D., Cohen, L., and Dehaene, S. (2003). The visual word form area: Expertise for reading in the fusiform gyrus. Trends in Cognitive Sciences 7:293-299.
105. McClelland, J. L., McNaughton, B. L., and O'Reilly, R. C. (1995). Why there are complementary learning systems in the hippocampus and neocortex: Insights from the successes and failures of connectionist models of learning and memory. Psychological Review 102:419-457.
106. McClelland, J. L., and Rumelhart, D. E. (1985). Distributed memory and the representation of general and specific information. Journal of Experimental Psychology: General 114:159-188.
107. Medin, D. L., and Smith, E. E. (1981). Strategies and classification learning. Journal of Experimental Psychology: Human Learning and Memory 7:241-253.
108. Meeter, M., Myers, C. E., and Gluck, M. A. (2005). Integrating Incremental Learning and Episodic Memory Models of the Hippocampal Region. Psychological Review 112:560-585.
109. Mensink, G. J., and Raaijmakers, J. G. (1988). A model for interference and forgetting. Psychological Review 95:434-455.
110. Minda, J. P., and Smith, J. D. (2001). Prototypes in category learning: The effects of category size, category structure, and stimulus complexity. Journal of Experimental Psychology: Learning, Memory, and Cognition 27:775-799.
111. Mozer, M. C. (1991). The Perception of Multiple Objects: A Connectionist Approach. Cambridge, MA: MIT Press.
112. Mozer, M. C., and Sitton, M. (1998). Computational modeling of spatial attention. In Attention, ed. H. Pashler, 341-393). Hove, England: Psychology Press.
113. Myles-Worsley, M., Johnston, W. A., and Simons, M. A. (1988). The Influence of Expertise on X-Ray Image Processing. Journal of Experimental Psychology: Learning, Memory, and Cognition 14:553-557.
114. Naor-Raz, G., Tarr, M. J., and Kersten, D. (2003). Is color an intrinsic property of object representation? Perception 32:667-680.
115. Newell, A., and Simon, H. A. (1972). Human Problem Solving. Upper Saddle River, NJ: Prentice-Hall.
116. Noelle, D. C., and Cottrell, G. W. (1996). Modeling interference effects in instructed category learning. Paper presented at the 18th Annual Conference Of The Cognitive Science Society, La Jolla, CA.
117. Nosofsky, R. M. (1984). Choice, similarity, and the context theory of classification. Journal of Experimental Psychology: Learning, Memory, and Cognition 10:104-114.
118. Nosofsky, R. M. (1986). Attention, similarity, and the identification-categorization relationship. Journal of Experimental Psychology: General 115:39-61.
119. Nosofsky, R. M. (1991). Tests of an exemplar model for relating perceptual classification and recognition memory. Journal of Experimental Psychology: Human Perception and Performance 17:3-27.
120. Nosofsky, R. M. (1992). Exemplar-based approach to relating categorization, identification, and recognition. In Multidimensional Models of Perception and Cognition, ed. F. G. Ashby, 363-393. Hillsdale, NJ: Lawrence Erlbaum Associates.
121. Nosofsky, R. M. (1998). Optimal performance and exemplar models of classification. In Rational Models of Cognition, eds. M. Oaksford and N. Chater, 218-247. New York: Oxford University Press.
122. Nosofsky, R. M., Gluck, M. A., Palmeri, T. J., McKinley, S. C., et al. (1994). Comparing models of rule-based classification learning: A replication and extension of Shepard, Hovland, and Jenkins (1961). Memory and Cognition 22:352-369.
123. Nosofsky, R. M., and Kruschke, J. K. (1992). Investigations of an exemplar-based connectionist model of category learning. In The Psychology of Learning and Motivation Vol. 28, ed. D. L. Medin, 207-250). San Diego: Academic Press.
124. Nosofsky, R. M., and Palmeri, T. J. (1997). An exemplar-based random walk model of speeded classification. Psychological Review 104:266-300.
125. Nosofsky, R. M., and Palmeri, T. J. (1998). A rule-plus-exception model for classifying objects in continuous-dimension spaces. Psychonomic Bulletin and Review 5:345-369.
126. Nosofsky, R. M., Palmeri, T. J., and McKinley, S. C. (1994). Rule-plus-exception model of classification learning. Psychological Review 101:53-79.
127. Nosofsky, R. M., and Zaki, S. (1998). Dissociations between categorization and recognition in amnesic and normal individuals: An exemplar-based interpretation. Psychological Science 9:247-255.
128. O'Reilly, R. C., and Norman, K. A. (2002). Hippocampal and neocortical contributions to memory: Advances in the complementary learning systems framework. Trends in Cognitive Sciences 6:505-510.
129. O'Reilly, R. C., and Rudy, J. W. (2001). Conjunctive representations in learning and memory: Principles of cortical and hippocampal function. Psychological Review 108:311-345.
130. Oliva, A. (2005). Gist of a Scene. In Neurobiology of Attention, eds. L. Itti, G. Rees and J. Tsotsos, 251-256. San Diego: Academic Press.
131. Palmer, S., Rosch, E., and Chase, P. (1981). Canonical perspective and the perception of objects. In Attention and Performance IX, eds. J. Long and A. Baddeley, 135-151). Hillsdale, NJ: Lawrence Erlbaum.
132. Palmeri, T. J. (1997). Exemplar similarity and the development of automaticity. Journal of Experimental Psychology: Learning, Memory, and Cognition 23:324-354.
133. Palmeri, T. J. (1998). Formal models and feature creation. Behavioral and Brain Sciences 21:33-34.
134. Palmeri, T. J. (1999). Learning categories at different hierarchical levels: A comparison of category learning models. Psychonomic Bulletin and Review 6:495-503.
135. Palmeri, T. J. (2001). The time course of perceptual categorization. In Similarity and Categorization, eds. U. Hahn and M. Ramscar, 193-224. New York: Oxford University Press.
136. Palmeri, T. J., and 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.
137. Palmeri, T. J., and Flanery, M. A. (2002). Memory systems and perceptual categorization. In The Psychology of Learning and Motivation Vol. 41, ed. B. H. Ross, 141-189. San Diego: Academic Press.
138. Palmeri, T. J., and Gauthier, I. (2004). Visual object understanding. Nature Reviews Neuroscience 5:291-303.
139. Palmeri, T. J., and Nosofsky, R. M. (1995). Recognition memory for exceptions to the category rule. Journal of Experimental Psychology: Learning, Memory, and Cognition 21:548-568.
140. Palmeri, T. J., Wong, A. C. N., and Gauthier, I. (2004). Computational approaches to the development of perceptual expertise. Trends in Cognitive Sciences 8:378-386.
141. Perrett, D. I., Oram, M. W., and Ashbridge, E. (1998). Evidence accumulation in cell populations responsive to faces: An account of generalisation of recognition without mental transformations. Cognition 67:111-145.
142. Perrett, D. I., Smith, P. A., Potter, D. D., Mistlin, A. J., Head, A. S., Milner, A. D., et al. (1985). Visual cells in the temporal cortex sensitive to face view and gaze direction. Proceedings of the Royal Society of London. Series B, Biological Sciences 223(1232):293-317.
143. Petrov, A. A., Dosher, B. A., and Lu, Z. L. (2005). The dynamics of perceptual learning: An incremental reweighting model. Psychological Review 112:715-743.
144. Poggio, T., and Bizzi, E. (2004). Generalization in vision and motor control. Nature 431:768-774.
145. Poggio, T., and Edelman, S. (1990). A network that learns to recognize three-dimensional objects. Nature 343:263-266.
146. Posner, M. I., and Keele, S. W. (1968). On the genesis of abstract ideas. Journal of Experimental Psychology 77:353-363.
147. Pratchett, T. (1993). Men at Arms: New York: Harper Collins.
148. Puce, A., Allison, T., Gore, J. C., McCarthy, G. (1995). Face-sensitive regions in human extrastriate cortex studied by functional MRI. Journal of Neurophysiology 74:1192-1200.
149. Pylyshyn, Z. W. (1973). What the mind's eye tells the mind's brain: A critique of mental imagery. Psychological Bulletin 80:1-24.
150. Pylyshyn, Z. W. (1981). The imagery debate: Analogue media versus tacit knowledge. Psychological Review 88:16-45.
151. Raaijmakers, J. G., and Shiffrin, R. M. (1981). Search of associative memory. Psychological Review 88:93-134.
152. Ratcliff, R. (1978). A theory of memory retrieval. Psychological Review 85:59-108.
153. Ratcliff, R., and Rouder, J. N. (1998). Modeling response times for two-choice decisions. Psychological Science 9:347-356.
154. Ratcliff, R., and Smith, P. L. (2004). A comparison of sequential sampling models for twochoice reaction time. Psychological Review 111:333-367.
155. Rensink, R. A., O'Regan, J. K., and Clark, J. J. (1997). To see or not to see: The need for attention to perceive changes in scenes. Psychological Science 8:368-373.
156. Rhodes, G., Byatt, G., Michie, P. T., and Puce, A. (2004). Is the fusiform face area specialized for faces, individuation, or expert individuation? Journal of Cognitive Neuroscience 16:189-203.
157. Rickard, T. C. (1997). Bending the power law: A CMPL theory of strategy shifts and the automatization of cognitive skills. Journal of Experimental Psychology: General 126:288-311.
158. Riesenhuber, M., and Poggio, T. (1999). Hierarchical models of object recognition in cortex. Nature Neuroscience 2:1019-1025.
159. Riesenhuber, M., and Poggio, T. (2000). Models of object recognition. Nature Neuroscience 3(Suppl):1199-1204.
160. Riesenhuber, M., and Poggio, T. (2002). Neural mechanisms of object recognition. Current Opinion in Neurobiology 12:162-168.
161. Righi, G., and Tarr, M. J. (2004). Are chess experts any different from face, bird, or Greeble experts? Journal of Vision 4:504.
162. Roediger, H. L., III, Buckner, R. L., and McDermott, K. B. (1999). Components of processing. In Memory: Systems, Process, or Function? eds. J. K. Foster and M. Jelici, 31-65. Oxford, England: Oxford University Press.
163. Roltman, J. D., and Shadlen, M. D. (2002). Response of neurons in the lateral intraparietal area during a combined visual discrimination reaction time task. Journal of Neuroscience 22:9475-9489.
164. Rosch, E. (1975). Cognitive representations of semantic categories. Journal of Experimental Psychology: General 104:192-233.
165. Rosch, E., Mervis, C. B., Gray, W. D., Johnson, D. M., and Boyes-Braem, P. (1976). Basic objects in natural categories. Cognitive Psychology 8:382-439.
166. Rosseel, Y. (2002). Mixture models of categorization. Journal of Mathematical Psychology 46:178-210.
167. Rossion, B., Gauthier, I., Tarr, M. J., Despland, P., Bruyer, R., Linotte, S., et al. (2000). The N170 occipito-temporal component is delayed and enhanced to inverted faces but not to inverted objects: An electrophysiological account of face-specific processes in the human brain. Neuroreport 11(1):69-74.
168. Rouder, J. N., Ratcliff, R., and McKoon, G. (2000). A neural network model of implicit memory for object recognition. Psychological Science 11:13-19.
169. Schacter, D. L. (2000). Memory: Memory systems. In Encyclopedia of Psychology Vol. 5, ed. A. E. Kazdin, 169-172. Washington, DC: American Psychological Association.
170. Schacter, D. L., Chiu, C.-Y. P., and Ochsner, K. N. (1993). Implicit memory: A selective review. Annual Review of Neuroscience 16:153-182.
171. Schacter, D. L., and Tulving, E. (1994). Memory Systems. MIT Press.
172. Schall, J. D. (2001). Neural Basis of Deciding, Choosing, and Acting. Nature Reviews Neuroscience 2:33-42.
173. Schall, J. D. (2004). On building a bridge between brain and behaviour. Annual Review of Psychology 55:23-50.
174. Schyns, P. G., Goldstone, R. L., and Thibaut, J.-P. (1998). The development of features in object concepts. Behavioral and Brain Sciences 21:1-54.
175. Schyns, P. G., and Rodet, L. (1997). Categorization creates functional features. Journal of Experimental Psychology: Learning, Memory, and Cognition 23:681-696.
176. Sergent, J., Ohta, S., and MacDonald, B. (1992). Functional neuroanatomy of face and object processing. A positron emission tomography study. Brain 115(1):15-36.
177. Shepard, R. N. (1967). Recognition memory for words, sentences, and pictures. Journal of Verbal Learning and Verbal Behavior 6:156-163.
178. Shepard, R. N. (1987). Toward a universal law of generalization for psychological science. Science 237:1317-1323.
179. Shepard, R. N. (1994). Perceptual-cognitive universals as reflections of the world. Psychonomic Bulletin and Review 1:2-28.
180. Shepard, R. N., and Metzler, J. (1971). Mental rotation of three-dimensional objects. Science 171:701-703.
181. Shiffrin, R. M., Steyvers, M. (1997). A model for recognition memory: REM: Retrieving effectively from memory. Psychonomic Bulletin and Review 4:145-166.
182. Shin, H. J., and Nosofsky, R. M. (1992). Similarity-scaling studies of dot-pattern classification and recognition. Journal of Experimental Psychology: General 121:278-304.
183. Simons, D. J. (1996). In sight, out of mind: When object representations fail. Psychological Science 7:301-305.
184. Simons, D. J., and Rensink, R. A. (2005). Change blindness: Past, present, and future. Trends in Cognitive Sciences 9:16-20.
185. Smith, E. E., Shoben, E. J., and Rips, L. J. (1974). Structure and process in semantic memory: A featural model for semantic decisions. Psychological Review 81:214-241.
186. Smith, P. L. (2000). Stochastic dynamic models of response time and accuracy: A foundational primer. Journal of Mathematical Psychology 44:408-463.
187. Smith, P. L., and Ratcliff, R. (2004). Psychology and neurobiology of simple decisions. Trends in Neurosciences 27:161-168.
188. Snowden, P. T., Davies, I. R. L., and Roling, P. (2000). Perceptual learning of the detection of features in X-ray images: A functional role for improvements in adults' visual sensitivity? Journal of Experimental Psychology: Human Perception and Performance 26:379-390.
189. Squire, L. R. (1992). Memory and the hippocampus: A synthesis from findings with rats, monkeys, and humans. Psychological Review 99:195-231.
190. Squire, L. R. (2004). Memory systems of the brain: A brief history and current perspective. Neurobiology of Learning and Memory 82:171-177.
191. Squire, L. R., and Knowlton, B. (1995). Learning about categories in the absence of memory. Proceedings of the National Academy of Sciences 92:12470-12474.
192. Squire, L. R., and Schacter, D. L. (2002). Neuropsychology of memory (3rd ed.). New York, NY: Guilford Press.
193. Squire, L. R., Stark, C. E. L., and Clark, R. E. (2004). The medial temporal lobe. Annual Review of Neuroscience 27:279-306.
194. Squire, L. R., and Zola, S. M. (1996). Structure and Function of declarative and nondeclarative memory systems. Proceedings of the National Academy of Sciences 93:13515-13522.
195. Standing, L. (1973). Learning 10,000 pictures. Quarterly Journal of Experimental Psychology 25:207-222.
196. Stankiewicz, B. J. (2002). Empirical evidence for independent dimensions in the visual representation of three-dimensional shape. Journal of Experimental Psychology: Human Perception and Performance 28:913-932.
197. Tanaka, J. W., and Curran, T. (2001). A neural basis for expert object recognition. Psychological Science 12:43-47.
198. Tanaka, J. W., Curran, T., and Sheinberg, D. L. (2005). The training and transfer of real world perceptual expertise. Psychological Science 16(2):145-151.
199. Tanaka, J. W., and Farah, M. J. (1993). Parts and wholes in face recognition. Quarterly Journal of Experimental Psychology 46A:225-245.
200. Tanaka, J. W., and Taylor, M. (1991). Object categories and expertise: Is the basic level in the eye of the beholder? Cognitive Psychology 23:457-482.
201. Tanaka, K. (1996). Inferotemporal cortex and object vision. Annual Review of Neuroscience 19:109-139.
202. Tanaka, K. (2002). Neuronal representation of object images and effects of learning. In Perceptual Learning, eds. M. Fahle and T. Poggio, 67-82. Cambridge, MA: MIT Press.
203. Tarr, M. J. (1995). Rotating objects to recognize them: A case study on the role of viewpoint dependency in the recognition of three-dimensional objects. Psychonomic Bulletin and Review 2:55-82.
204. Tarr, M. J., and Bülthoff, H. H. (1998). Image-based object recognition in man, monkey, and machine. Cognition 67:1-20.
205. Tarr, M. J., and Cheng, Y. D. (2003). Learning to see faces and objects. Trends in Cognitive Science 7:23-30.
206. Tarr, M. J., and Gauthier, I. (1998). Do viewpoint-dependent mechanisms generalize across members of a class? Cognition 67:73-110.
207. Tarr, M. J., and Gauthier, I. (2000). FFA: A flexible fusiform area for subordinate-level visual processing automatized by expertise. Nature Neuroscience 3:764-769.
208. Tarr, M. J., Kersten, D., and Bülthoff, H. H. (1998). Why the visual recognition system might encode the effects of illumination. Vision Research 38:2259-2275.
209. Tarr, M. J., and Kriegman, D. J. (2001). What defines a view? Vision Research 41:1981-2004.
210. Tarr, M. J., and Pinker, S. (1989). Mental rotation and orientation-dependence in shape recognition. Cognitive Psychology 21:233-282.
211. Tarr, M. J., and Pinker, S. (1990). When does human object recognition use a viewercentered reference frame? Psychological Science 1:253-256.
212. Tarr, M. J., Williams, P., Hayward, W. G., and Gauthier, I. (1998). Three-dimensional object recognition is viewpoint dependent. Nature Neuroscience 1:275-277.
213. Tjan, B. (2001). Adaptive object representation with hierarchiacally-distributed memory sites. Advances in Neural Information Processing Systems 13:66-72.
214. Treisman, A. M., and Gelade, G. (1980). A feature-integration theory of attention. Cognitive Psychology 12:97-136.
215. Tulving, E. (1985). How many memory systems are there? American Psychologist 40:385-398.
216. Tulving, E. (1993). What is episodic memory? Current Directions in Psychological Science 2:67-70.
217. Tulving, E., and Schacter, D. L. (1990). Priming and human memory systems. Science 247:301-306.
218. Tversky, A. (1977). Features of similarity. Psychological Review 84:327-352.
219. Ullman, S. (1989). Aligning pictorial descriptions: An approach to object recognition. Cognition 32:193-254.
220. Ullman, S., Vidal-Naquet, M., and Sali, E. (2002). Visual features of intermediate complexity and their use in classification. Nature Neuroscience 5:682-687.
221. Vuong, Q. C., and Tarr, M. J. (2004). Rotation direction affects object recognition. Vision Research 44:1717-1730.
222. Waldron, E. M., and Ashby, F. G. (2001). The effects of concurrent task interference on category learning: Evidence for multiple category learning systems. Psychonomic Bulletin and Review 8:168-176.
223. Wells, G. L., and Loftus, E. F. (2003). Eyewitness memory for people and events. In Handbook of Psychology: Forensic Psychology, Vol. 11, ed. A. M. Goldstein, 149-160. Hoboken, NJ: John Wiley and Sons, Inc.
224. Wells, G. L., and Olson, E. A. (2003). Eyewitness testimony. Annual Review of Psychology 54:277-295.
225. Yin, R. K. (1969). Looking at upside-down faces. Journal of Experimental Psychology 81:141-145.
226. Zaki, S. R., and Nosofsky, R. M. (2001). A single-system interpretation of dissociations between recognition and categorization in a task involving object-like stimuli. Cognitive, Affective and Behavioral Neuroscience 1:344-359.
227. Zaki, S. R., and Nosofsky, R. M. (2004). False prototype enhancement effects in dot pattern categorization. Memory and Cognition 32:390-398.
228. Zaki, S. R., Nosofsky, R. M., Jessup, N. M., and Unversagt, F. W. (2003). Categorization and recognition performance of a memory-impaired group: Evidence for single-system models. Journal of the International Neuropsychological Society 9:394-406.
229. Zhang, L., and Cottrell, G. W. (2005). Holistic processing develops because it is good. In Proceedings of the 27th Annual Cognitive Science Conference, eds. B. G. Bara, L. Barsalou and M. Bucciarelli. Mahwah: Lawrence Erlbaum.