The development of features in object concepts

Behavioral and Brain Sciences

Volumn 21, Issue 1, 1998, Pages 1-54

  Schyns, Philippe G ^a,c   Goldstone, Robert L ^a,b   Thibaut, Jean Pierre ^a,b  

^a UNIVERSITY OF GLASGOW   (United Kingdom)

^b INDIANA UNIVERSITY   (United States)

^c UNIVERSITY OF LIÈGE   (Belgium)

Author keywords

Concept learning; Conceptual development; Features; Perceptual learning; Stimulus encoding

Indexed keywords

COGNITION; CONCEPT FORMATION; EXPERIENCE; LANGUAGE; LEARNING; PATTERN RECOGNITION; PERCEPTION; PSYCHOLOGY; RECOGNITION; REVIEW; TASK PERFORMANCE;

CHILD; CHILD DEVELOPMENT; CHILD PSYCHOLOGY; CHILD, PRESCHOOL; COGNITION; CONCEPT FORMATION; EXPLORATORY BEHAVIOR; HUMANS; INFANT; LEARNING; RETINA;

EID: 0031746593     PISSN: 0140525X     EISSN: None     Source Type: Journal    
DOI: 10.1017/S0140525X98000107     Document Type: Review

References (301)

1. Abdi, U. (1988) Generalized approaches for connectionist auto-associative memories: Interpretation, implication, and illustration for fare processing. In: Artificial intelligence ami cognitive science, ed. J. Demongeot. Manchester University Press. [HA]
2. Alxli, U., Valentin, D., Edelman, B. & OToole, A. (1093) More about the difference between men and women: Evidence from linear neural network and the principal component approach. Perception 24:539-62. [HA]
3. (1996) A Widrow-IIoff learning-rule for a generalization of the linear autoassociation. Jounwl of Mathematical Psychology 40:175-82. [HA]
4. Abdi, H., Valentin. D. & OToole, A. (1997) A generalized auto-associator model for face semantic processing. In: Optimally in biological ami artificial netteorks?, ed. D. Levine & W. R. Elsbcrry, I,awrence Erlbaum. [HA]
5. Alia, D. (1992) Tolerating noisy, irrelevant, and novel attributes in instance-based learning algorithms. International Jonmal of Man-Machine Studies 36:267-57. [UH]
6. Aha, D. W. & Coldstone, R. L. (1992) Concept learning and flexible weighting. Pmccedings of the Fourteenth Annual Conference of the Cognitive Science Society, 534-39. lawrence Erlbaum. [aPGS]
7. Ahissar, M. & llochstein, S. (1977) Task difficulty and the specificity of perceptual learning. Nature 387:401-06. [PJB]
8. Algoni, D. (1992) Psychophysical approaches to cognition. North Holland. [aPCS]
9. Anderson, J. A. & Mozer, M. (1981) Categorization and selective neurons. In: Parallel models of associative memory, ed. G. Hinton & J. Anderson. Erlbaum. [HA]
10. Anderson, J. A. & Hosenfeld, E. (1988) Ncurocompnting, foundations of research. MIT Press. [aPGS]
11. Anderson, J. R. (1990) The adaptive character of thought. Erlbaum. [KW-H]
12. Andrews, J., Livingston, K., Harnad, S. & Fisher, U. (1997) Learned categorical perception in human subjects: Implications for symlxil grounding (submitted). [aPGS]
13. Asfour, Y. R., Carpenter, G. A., Grossberg, S. & Lcslier, G. (1993) Fusion ARTMAP: A neural network architecture for multi-channel d.tta fusion and classification. In: Proceedings of the World Congress on Neural Networks, vol. 2. Erlbaum. [SG]
14. Ashby, F. G. (1992) Multidimensional models of categorization. In: Multidimensional models of perceptions and cognition, ed. F. G, Ashby. Erlbaum. [TJP]
15. Barlow, II. B. (1979) The past, present and future of feature detectors. In: Recognition of pattern andfonn (vol. -14 of Ijcclurc Notes in Biomathemalics), ed. D. Albrecht. Springer. [AT]
16. (1980) The absolute efficiency of perceptual decisions. Proceedings of the Royal Society of Ijmdon [Biology] 290:71-82. [aPGS]
17. Barlow, II. B. & Reeves, B. C. (1979) The versatility and absolute efficiency of detecting mirror symmetry in random dot displays. Vision Research 19:783-93. [aPGS]
18. Bates, E. & Elman, J. (199fi) Learning rediscovered. Science 274:18-19. [PP]
19. Bellman, R. E. (19G1) Captive control processes. Princeton University Press. [aPGS]
20. Benson, P. J. (1993a) Perspectives on face perception: Directing research by exploiting emergent prototypes. In: Cognitive and computational aspects of face recognition, ed. T. Valentine. Routledge. [PJB]
21. (1993b) Unmasking the face: An algebraic approach. Paper presented at the Third Conference of the Australasian Cognitive Science Society. [PJB]
22. Berry, D. C. & Dienes, Z. (1993) Implicit learning Theoretical and empirical issues. Erlbaum. [AC]
23. Biederman, I. (1987) Recognition-by-components: A theory of human image understanding. Psychological Rcviciu 91:115-47. [CD, CG, SG, JEII, PCQ, MS, aPGS, AT, JT]
24. Biederman, I. & Schiffrar, M. M. (1987) Sexing day-old chicks: A case study and expert systems analysis of a difficult perceptual-learning task. Journal of Experimental Psychology: foaming, Memory, and Cognition 13:6-10-45. [JEH]
25. Bishop, C. M. (1995) Neural networks for pattern recognition. Clarendon Press. [CD]
26. Blakemore, C. & Over, R. (1974) Curvature detectors in human vision. Perception 3:3-7. [CRL]
27. Bohr, N. ( 1958) Atomic physics and human knowledge. Wiley. [rPGS]
28. Bongard, M. (1970) Faltern recognition. Spartan Books. [SAH]
29. Bradski, G. & Grossberg, S. (1993) Fast-learning VIEWXET architecture for recognizing three-dimensional objects from multiple two-dimensional views. Neural Networks 8:1033-80. [SG]
30. Braine, M. D. S. (1994) Is nathism sufficient? Journal of Child Language 21:9-32. [GDe]
31. Braisby, N. R. & Franks, B. (1997) Why concepts only appear to be fuzzy (submitted). [NB]
32. Braisby, N. R., Franks, B. & Harris, J. (1996) On fuzzy perspectival approaches to classification. In: Papers from CaRESScS, ed. D. Dubois. Editions Kime. [NB]
33. Bransford, J. D., Franks, J. J., Vye, N. J. & Sherwood, R. D. (1989) New-approaches to instruction: Because wisdom can't be told. In: Similarity and analogical reasoning, ed. S. Vonsaidou & A. Orton. Cambridge University Press. [GDe]
34. Braunstein, M. L., Huffman, D. D. & Saidpour, A. (1989) Parts of visual objects: An experimental test of the minima rule. Perception 18:817-26. [MS, aPGS]
35. Brigham, J. C. (1986) The influence of race on face recognition. In: Aspects of face processing, ed. H. D. Ellis, M. A. Jccvcs, F. Newcombe & A. W. Young. Martinas NijliofT. [aPGS]
36. Bruner, J. S., Goodnow, J. J. & Austin, G. A. (1956) A study of thinking, Wilcy & Sons. [aPGS, AT]
37. Bums, B. & Slicpp, B. E. (1988) Dimensional interactions and the structure of psychological space: The representation of hue, saturation, and brightness. Perception and Psychophysics 43:491-507. [aPGS]
38. Burt, P. & Adelson, E. II. (1983) Tlic Laplaeian pyramid as a compact image axle. IFEE Transactions on Communications 31:532-40. [aPGS]
39. Carey, S. (1985) Canccjitual change in childhood. MIT Press. [aPGS]
40. (1991) Knowledge acquisition: Enrichment or conceptual change? In: The epigcnesis of mind, ed. S. Carey & R. Gelman. Erlbanm. [aPGS]
41. (1992) Becoming a fact expert. Philosophical Transactions of the Royal Society ofljmdon, B 335:93-103. [JT]
42. Cariani, P. (1993) To evolve an ear. System Research 10:19-33. [rPGS]
43. Caqienter, G. A. & Grossberg, S. (1991) Fatteni recognition by self-organizing neural networks. MIT Press. [SG]
44. (1993) Normal and amnesic learning, recognition, and memory by a neural rmxlcl of cortico-liippocampal interactions. Trends in Nenroscienccs 16:131-37. [SG]
45. Chalmcrs, D. J., French, R. M. & Hofstadter, D. R. (1992) High-level perception, representation and analog)-. Journal of Experimental and Theoretical Artificial Intelligence 4:185-211. [aPGS]
46. Chapman, K. L., Leonard, L. B. & Mervis, C. B. (1986) The effect of feedback on young children's inappropriate word usage. Journal of Child Language 13:101-07. [aPGS]
47. Chater, N. & Halm, U. (19Ü7) liepresentational distortion and the universal law generalization (unpublished manuscript). [UH]
48. Clark, A. & Karmiloff-Smith, A. (1993) The cognizer's innards: A psychological and philosophical perspective on the development of thought. Mind and Language 8:487-519. [AC]
49. Clark, E. V. (1973) What's in a word? On the child's acquisition of semantics in his first langnage. In: Cognitive development and the acquisition of language, ed. T. E. Mixire. Academic Press. [aPGS]
50. Cleerernans, A. (1993) Mechanisms of implicit learning: Connectionist models of sequence processing. MIT Press. [AC]
51. (1994a) Awareness and abstraction are graded dimensions. Behavioral and Brain Sciences 17:402-03. [AC]
52. (199-1b) The representation of structure in explicit prediction tasks. In: Attention ami performance XV: Conscious and non-conscious information processing, ed. C. Urnilta & M. Muscovite]]. MIT Press. [AC]
53. (1997) Principles for implicit learning. In: What is implicit about implicit learning, ed. D. Berry. Oxford University Press. [AC]
54. Coren, S. & Ward, L. M. (1989) Sensation and perception. Ilarcourt Brace Jovanovich. [AT]
55. Crick, F. & Koch, C. (1993) Are we aware of neural act Kit)' in primary visual cortex? Nature 375:121-23. [PJB]
56. Crassini, B. & Over, K. (1975) Curvature-specific color after-effects. Perception 6 Psijchophijsics 17:398-404. [CRL]
57. Czerwinski, M., Lightfoot, N. & Shiffrin, R. M. (1992) Automatization and training in visual search. American Journal of Psychology 105:271-315. [aPGS]
58. Dangman, J. G. (1980) Two-dimensional spectral analysis of cortical receptive field profiles. Vision Research 20:817-56. [KFM]
59. (1985) Uncertainty relation for resolution in space, spatial frequency, and orientation optimized by two-dimensional visual cortical filters. Journal of the Optical Society of America 2(7):1160-69. [KFM)
60. De;ik, G. (in preparation) Designing a paradigm for the study of semantic development: Replacing constraints with a scientifically viable framework. [GDe]
61. Dedk, G. & Bauer, P. J. (1996) The dynamics of preschoolers' categorization choices. Child development 67:740-67. [GDe]
62. Deak, G. O. (1995) The functional nature of induction: Flexibility in children's inferences alwut object properties. Unpublished doctoral thesis, University of Minnesota. [GDe]
63. De Groot, A. D. (1965) Thought and choice in chess. Mouton. [aPGS]
64. De Sa, V. R. & Ballard, D. II. (1997) Perceptual learning from cross-model feedback. In: Psajhology of learning and motivation, vol. 36, ed. R. L. Goldstone, P. G. Schyns & D. L. Medin. Academic Press. [rPGS]
65. De Valois, R. L. & De Valois, K. K. (1990) Spatial vision. Oxford University Press. [aPGS]
66. Delk, J. L. & Fillenbaum, S. (1965) Differences in perceived color as a function of characteristic color. American Journal of Psychology 78:290-93. [aPGS]
67. Demartines, P. & Héraut, J. (1997) Curvilinear component analysis: A self-organizing neural network for nonlinear mapping of data sets. IEEE Transactions on Neural Networks 8:148-54. [aPGS]
68. Dickinson, D. K. (1989) Development of preschool children's ability to identify common materials. Merrill-Palmer Quarterly 35:165-80. [GDe]
69. Dominey, P. F. (1997) Reducing problem complexity by analogical transfer. Behavioral ami Brain Sciences 20(l):71-72. [PFD]
70. Dominey, P. F, Ventre-Dominey, J., Brousolle, E. & Jcannerod, M. (1995) Analogical transfer in sequence learning: Human and neural-network models of fronto-striatal function. Annals of the AVtf York Academy of Sciences 769:369-73. [PFD]
71. (1997) Analogical transfer is effective in a serial reaction time task in Parkinsons disease: Evidence for a dissociable sequence learning mechanism. Neuropsychologia 33:1-9. [PFD]
72. Dorffner, G. (1997) Radical conncctionism - A neural bottom-up approach to A!. In: Neural networks and a ncic AI, cd. G. Dorffner. International Thompson Computer Press. [GD]
73. Dorffner, G., Ilcntze, M. & Tlnirner, G. (1996) A connectionist model of categorization and grounded word learning. In: Proceedings of the Gwningen Assembly on Language Acquisition (GALA '9.5), ed. C. Koster & F. Wijnen. University of Groningen Press. [GD]
74. Driver, J. & Baylis, G. C. (1993) One-sided edge assignment in vision. 2. Part decomposition, shape description, and attention to objects. Current Direction's in Psychological Science -1:201-06. [MS]
75. Edelman, S. (1995) Representation, similarity, and the chorus of prototypes. Minds and machine 5:45-68. [SE]
76. Edelman, S. & Bulthoff, II II. (1992) Orientation dependence in the recognition of familiar and novel views of three-dimensional objects. Vision Research 32:2385-100. [aPGS]
77. Edelman, S. & Duvdevani-Bar, S. (1997) A model of visual recognition and categorization. Philosophical Transactions of the Royal Society of London, Series B. (in press). [SE]
78. Eimas, P. (1994) Categorization in early infancy and the continuity of development. Coffutlon 50:83-93. [aPGS]
79. Eimas. P. D. & Quinn, P. C. (1994) Studies on the formation of perceptually based basic-level categories in young infants. Child Development 63:903-17. [PCQ]
80. Eimas, P. D., Quinn, P. C. & Cowan, P. (1994) Development of exclusivity in perceptually based categories of young infants. Journal of Experimental Child Psychology 58:418-31. [PCQ]
81. Elio, R. & Anderson, J. R. (1981) The effects of category generalizations and instance similarity on schema abstraction. Journal of Experimental Psychology: Human learning and Memory 7:397-417. [aPGS]
82. Elman, J. I,., Bates, E. A., Johnson, M. II., Karmiloff-Smith, A., Parisi, D. & Plunkctt, K. (1996) Rethinking Innateness. MIT Press. [GD]
83. Estes, W. K. (1994) Classification and cognition. Oxford University Press. [TJP]
84. Fahle, M. & Morgan, M. (1996) No transfer of perceptual learning between similar stimuli in the same retinal position. Current Biology 6:292-97. [rPGS]
85. Fisher, D. L. (1986) Hierarchical models of visual search: Serial and parallel processing. Paper presented at the meeting of the Society for Mathematical Psychology, Cambridge, MA. [aPGS]
86. Foard. C. F. & Kemler Nelson, D. G. (1984) Holistic and analytic modes of processing: The multiple determinants of perceptual analysis. Journal of Experimental Psychology: General 113:9-1-111. [aPGS]
87. Fodor, J. A. (1975) The language of thought. Harvard University Press. [GDe]
88. (1980) On the impossibility of acquiring more powerful structures. In: language anil learning, ed. M. Piatelli-Palmarini. Routledge. [NB]
89. (1987) Modules, frames, pidgcons, sleeping dogs, and miisic of the spheres. In: The robot's dilemma: The frame problem in artificial intelligence, ed. Z. W. Pjlyshyn. Ablex. [KFM]
90. (1994) Jerry A. Fodor. In: A companion to the philosophy of mind, ed. S. Guttenplan. Blackwcll. [KFM]
91. Fodor, J. A. & Pylyshyn, Z. W. (1988) Connectionism and cognitive architecture: A critical analysis. Cognition 28:3-71. [aPGS]
92. Francis, G. & Grossberg, S. (1996) Cortical dynamics of Ixjundary segmentation and reset: Persistence, afterimages, and residual traces. Perception 25:543-67. [SG]
93. Franks, B. (1995) Sense generation: A quasi-classical approach to concepts and concept combination. Cognlticc Science 19:441-505. [NB]
94. Franks, B. & Braisby, N. R. (1997) On the relation between word use and concepts: Perspectives (submitted). [NB]
95. Franks, J. J. & Bransford, J. D. (I971) Abstraction of visual patterns. Journal of Experimental Psychology 90:63-74. [UH]
96. Frege, G. (1892/1966) On sense and reference. In: Translations from the philosophical writings of Gottlieb Frege, ed. P. Geach & M. Black. Black-well. [NB]
97. French, R. M. & Hofstadter, D. (1991) Tabletop: An emergent, stochastic model of analogy-making. In: Proceedings of the Thirteenth Annual Cognitive Science Society Conference, 708-13. Erlbaum. [aPGS]
98. Friedman, J. II. & Tukey, J. W. (1974) A projection pursuit algorithm for exploratory data analysis. IEEE Transactions on Computers C, L3:881-89. [aPGS]
99. Fujila, U, Tanaka, K.. Ko, M. & Cheng, K. (1992) Columns for visual features of objects in monkey inferotemporal cortex. Nature 360:543-46. [AT]
100. Gamer, W. R. (1962) Uncertainty and structure as psychological concepts. Wiley. [SAH]
101. (1974) The processing of information and stnictnre, Erlbaum. [SAU, aPGS, AT]
102. Gauker, C. (1994) Thinking ont loud: An essay on the relation between thought anil language. Princeton University Press. [CG]
103. Ganthier, I. & Tarr, M. J. (1997) Becoming a Greeble expert: Exploring the fare recognition mechanism. Vision Kesearch 37:1673-82. [PW]
104. Ganthier, I., Tarr, M. J., Amlerson, P., Skiullarsky, P. & Gore, J. (1997a) Expertise training with novel objects can recruit the fusiform face area. 27th Annnal Meeting of the Society for Neuroscience (submitted). [PW]
105. Ganthier, I., Williams, P., Tarr, M. J. & Tanaka, J. W. (19971)) Training Greeble experts: A framework for studying expert object recognition processes (submitted). [PW]
106. Gehnan, S. A. (1988) Tlie development of induction within natural kind and artifact categories. Cognition 20.65-95. [aPGS]
107. Geman, S., Bicncstock, E. & Doursat, R. (1992) Neural networks and the bias/variance dilemma. Retirai Computation 4:1-58. [aPGS]
108. Gibson, E. ]. (1969) Principles of perceptual learning and development. Applcton-Century Crofts. [JEU, CRL, arPGS]
109. (1971) Perceptual learning and the theory of word perception. Cognitive Psychology 2:.351-68. [aPGS]
110. (1991) An odyssey in learning and perception. MIT Press. [aPGS, AT]
111. Gibson, E. J. & Walk, R. D. (1956) The effect of prolonged exposure to usually presented patterns on learning to discriminate them, journal of Comparatire and Physiological Psychology 49:239-12. [aPGS]
112. Gibson, J. J. & Gibson, E. J. (1955) Perceptual learning: Differentiation or enrichment? Psychological Review 62:32-41. [GDe]
113. Gluck, M. A. & Bower, G. II. (1988) Evaluating an adaptive network model of human learning, journal of Memory and Language 27:166-95. [aPGS]
114. Goldstone, R. L. (199 la) Influences of categorization on perceptual discrimination. Journal of Experimental Psychology: General 123:178-200. [aPGS]
115. (1994b) The role of similarity in categorization: Providing a groundwork. Cognition 52:125-57. [aPGS]
116. (1995) Effects of categorization on color perception. Psychological Science 6:298-304. [aPGS]
117. Goldstone, R. L., Steyvers, M., Spencer-Smith, J. & Kersten, A. (in press) Interactions between perceptual and conceptual learning. In: Cognitive dynamics: Conceptual change in humans and machines, ed. E. Diettrich & A. Markman. MIT Press. [rPGS]
118. Goodman, N. (1965) Fact, fiction, and forecast, 2nd edition. BobbsMerrill. [aPGS]
119. Gross, C. G., Rocha-Miranda, C. E. & Bender, D. B. (1972) Visual properties of cells in inferotemporal cortex of the macaque, journal of Xctirophysiology a5:96-111. [AT]
120. Grossbcrg, S. (1976) Adaptive pattern classification and universal recoding. Biological Cybernetics 21:145-59. [GD]
121. (1987) Cortical dynamics of three-dimensional form, color, and brightness perception: I. Monocular theory. Percejition and Psychophysics 41:117-58. [SG]
122. (1991) 3-D vision and figure-ground separation by visual cortex. Perception and Psychophysics 55:45-120. [SG]
123. (1995) The attentive brain. American Scientist 83:438-49. [SG]
124. Grossberg, S. & Merrill, J. W. L. (1996) The hippocampus and cerebellum in adaptively- timed learning, recognition, and movement. Journal of Cognitive Neuroscicnce 8:257-77. [SG]
125. Grossberg, S., Mingolla, E. & Ross, W. D. (1994) A neural theory of attentive visual search: Interactions of boundary, surface, spatial, and object recognition. Psychological Review 101:470-89. [SG]
126. (1997) Visual brain and visual perception: How does the cortex do perceptual grouping? Trends in Kcuwsclcncci 20:106-11. [SG]
127. Grossberg. S. & Stone, G. (1986) Neural dynamics of word recognition and recall: Attentional priming, learning, and resonance. Psychological Review 93:46-74. [GD]
128. Grossberg, S. & Williamson, J. R. (1997) A self-organizing neural system for learning to recognize textured scenes. Boston University Technical Report CAS/CNS TR-97-001. [SG]
129. Halm, U. (1996) Cases and rules in categorization. Doctoral thesis. University of Oxford. [UH]
130. Hahn, U. & Chater, N. (1997) Concepts and similarities. In: Knowledge, concejits and categories, ed. L. Lamberts & D. Shanks. Psychology Press/MIT Press. [UH]
131. (in press) Understanding similarity: A joint project for psychology, case-based reasoning and law. Artificial Intelligence Review. [UH]
132. Halm. U. & Vogel. C. (1997) Notes on logidsm: Formalizatkm and legalknowledge. European Journal of IMW, Philosophy anil Computer Science 1. [UH]
133. Hampton, J. A. (1987) Inheritance of attributes in natural concept conjunctions. Memory anil Cognition 15:55-71. [NB]
134. Hancock, P. J., Burton. A. M. & Bruce, V. (1990) Face processing: Human perception and principal components analysis. Memory and Cognition 24:20-40. [HA]
135. Haruad, S. (1987) Category' induction and representation. In: Categorical perception: The groumhcork of cognition, ed. S. Harnad. Cambridge University Press. [CD, KFM, aPGS]
136. (1990) The symlml grounding problem. Phijsica D 42:335-40. [KFM, aPCS]
137. (1993) Tlie frame problem as a symptom of the symbol grounding problem. Psycoloijuy 4(34):frame-problem.ll. [KFM]
138. Hamad, S., ed. (1987) Categorical perception: The gntumlwork of cognition. Cambridge University Press. [PJB]
139. Hamad, S., Hanson, S. J. & Lubin, J. (1991) Categorical perception and the evolution of supervised learning in neural nets. In: Working papers of the AAAI spring symposium on machine learning of natural language and ontology, ed. D. W. Powers & Keeker. [rPGS]
140. Helson, II. (1933) The fundamental propositions of Gestalt psychology. Psychological Retiew 4:13-32. [PCQ]
141. Hill, II., Scliyns, P. G. & Akamatsu, S. (1997) Information and viewpoint dependence in face recognition. Cognition, [aPGS]
142. Hintou, G., Williams, K. & Hevow, M. (1992) Adaptive elastic models for handprinted character recognition. In: Advances in neural information processing systems, IV, ed. J. Moody, S. Hanson & H. Lippmann. [aPGS]
143. Hochberg, J. (1997) The affordances of perceptual inquiry: Pictures are learned from the jvorld, and What that fact might mean about perception quite generally. In: Psychology of learning anil mutilation, vol. 36, ed. R. L. Goldstone, P. G. Schyns & D. L. Medin. Academic Press. [rPGS]
144. Huffman, D. D. & Richards, W. A. (1981) Parts of recognition. Cognition 18:65-90. [MS, aPGS]
145. Huffman, D. D. & Singh, M. (1997) Salience of visual parts. Cognition 63:29-78. [MS]
146. Homa, D. (1984) On the nature of categories. Psychology of Learning and Motivation 15:49-94. [TJP]
147. Hubel, D. H. & Wiesel, T. N. (1905) Receptive fields and functional architecture in two nonstriate visual areas (18 and 19) of the cat. journal of Neurophysiology 28:229-89. [AT]
148. (1977) Ferner lecture: Functional architecture of macaque monkey visual cortex. Proceedings of the Royal Society of London, Biology 198:1-59. [rPGS]
149. Humphrey, N. K. & Weiskrantz, L. (1971) Vision in monke}^ after removal of the striate cortex. Nature 215:595-97. [PJB]
150. Hunt, E. & Agnoli, F. (1991) The Whorfian hypothesis: A cognitive psychology perspective. Psychological Review 98:377-89. [KW-II]
151. Imai, S. (1977) Pattern similarity and cognitive transformations. Acta Psychologica 41:433-47. [UH]
152. Intrator, N. (1992) Feature extraction using an unsupervised neural network. Neural Computations 4:98-107. [aPGS]
153. (1993) Combining exploratory projection pursuit and projection pursuit regression. Neural Computation 5:443-55. [aPGS]
154. Intrator, N. & Edelman, S. (1997) Learning low dimensional representations of visual objects with extensive use of prior knowledge. Network 8:259-81. [SE]
155. Intrator, N. & Gold, J. (1993) Three dimensional object recognition using an unsupervised BCM network: The usefulness of distinguishing features. Neural Computation 5:01-74. [aPGS]
156. Jacobsoii, R., Fant, G. & Halle, M. (1903) Preliminaries to speech analysis: The distinctive features ami their correlates. MIT Press. [aPGS]
157. Jacoby, L. L., Baker, J. G. & Brooks; L. R. (1989) The priority of the specific episodic effects in picture identification, journal of Experimental Psychology: Learning, Memory, anil Cognition 15:275-81. [LRB]
158. Janlert, L.-E. (1990) The frame problem: Freedom or stability? With pictures we can have both. In: The robot's dilemma rccisited, 1. K. M. Ford & Z. W. Pylyshyn. Ablex. [KFM]
159. Jiménez, L., Méndez, C. & Cleeremans, A. (1990) Direct and indirect measures of implicit learning. Journal of Experimental Psychology: Learning, Memory, ami Cognition 22:918-69. [AC]
160. Jones, S. & Smith, L. (1993) The place of perception in children's concepts. Cognitive Development 8:113-39. [aPGS]
161. Julesz, B. (1981) Textons, the elements of texture perception, and their interactions. Nature 290:91-97. [JEH]
162. Kaas, J. II. (1995) The reorganization of sensory and motor maps in adult mammals. In: Me cognitive neurosciences, éd. M. S. Gazzauiga. MIT Press. [aPGS]
163. Kamt, A. & Sagi, D. (1891) Where practice makes perfect in texture discrimination: Exitlence for primary visual cortex plasticity. Proceedings of the National Academy of Sciences USA SS:4966-70. [rPGS]
164. Katz, J. J. & Fodor, J. A. (1963) The structure of a semantic theory. Language 39:70-210. [aPGS]
165. Keil, F. C. (1989) Concrete, kinds and cognitive development. MIT Press. [aFGS]
166. Kennedy, J. (1993) Drawing and the blind. Yale University Press. [LHB]
167. Kobatake, E. & Tanaka, K. (1994) Neuronal selectivities to complex object features in the ventral visual pathway of the macarjue cerebral cortex. Journal of Xcurophysiology 71:22(59-80. [AT]
168. Kohonen, T. (1984) Self-organization and associative memory. Springer-Verlag. [aPCS]
169. Koza, J. R. (1994) Genetic programming II. MIT Press. [aPGS]
170. Knischke, ]. K. (1991) ALCOVE: A connectionist model of human category learning. In: Advances in neural information processing 3, cd. R. P. Lippmann et al. Morgan Kaufman. [GD]
171. (1992) ALCOVE: An exemplar-based connectionist model of category learning. Psychological Review 99:22-44. [TJP, aPGS]
172. Kurbat, M. A. (1994) Structural description theories: Is RBC/JIM a general purpose theory of human entry-level object recognition. Perception 23:1339-68. [aPGS]
173. Lamberts, K. & Chong, S. (1997) Rational models of categorization and flexible similarity. In: Rational models of cognition, ed. N. Chater & M. Oaksford. Oxford University Press. [KL]
174. Landau, B. (1994) Object shape, object name, and object kind: Representation and development. In: Psychology of Learning anil Moticaton, col. 31, ed. D. L. Medin. Academic Press. [MS, aPGS]
175. Landau, B., Smith, L. B. & Jones, S. S. (1988) The importance of shape in early lexical learning. Cognitive Development 3:299-321. [GDe, MS]
176. Latirner, C. R., Joung, W. & Stevens, C. J. (1994) Modelling symmetry detection with back-propagation networks. Spatial Vision 8:1-17. [CRL]
177. Lawrence, D. II. (19-19) Acquired distinctiveness of cues: 1. Transfer between discriminations on the basis of familiarity with the stimulus. Journal of Experimental Psychology 39:770-84. [aPGS]
178. Li, M. & Vitani, P. (1993) An introduction to Kolmogoroc complexity theory and its applications. Springer. [UH]
179. Livingstone, M. & Huliel, D. II. (1988) Segregation of form, color, movement and depth: Anatomy, physiology, and perception. Science 240:740-49. [AT]
180. MacDorman, K. F. (1997a) How to ground symbols adaptive!)-. In: Readings in computation, content and consciousness, ed. S. O'Nuallain, P. McKevitt & E. MacAogain. John Benjamins. [KFM]
181. (1997b) Symbol grounding: Learning categorical and sensorimotor predictions for coonlination in autonomous robots. Technical Report no. 423, Computer Laboratory, Cambridge University
182. librarian@cl.cam.ac.uk). [KFM]
183. Maffei, L. (1978) Spatial frequency channels: Neural mechanisms. In: Handbook of sensory physiology: Perception, ed. R. Held, H. W. Leibowitz & H. L. Tcuber. Springer-Verlag. [AT]
184. Malt, B. C. (1993) Category coherence in cross-cultural perspective. Cognitive Psychology 29:85-148. [KW-H]
185. Markman, E (1989) Categorization and naming in children. Problems of induction. MIT Press, Bradford Books. [aPGS]
186. (1995) Constraints on word meaning in early language acquisition. In: The acquisition of the lexicon, ed. L. Gleitman & B. Landau. MIT Press. [aPGS]
187. Marr, D. (1982) Vision. A computational investigation into tlie human representation ami processing of visual information. W. H. Freeman. [MS, aPGS]
188. Marsolek, C. J. (1995) Abstract-visual-form representations in the left cerebral hemisphere. Journal of Experimental Psychology: Human Perception and Performance 21:375-56. [EDB]
189. Marsolek, C. J. & Burgund, E. D. (in press) Computational analyses and hemispheric asymmetries in usual-form processing. In: Cerebral asymmetries in sensory and perceptual processing, ed. S. Christman. Eisevier. [EDB]
190. Marsolek, C. J., Schacter, D. L. & Nicholas, C. D. (1996) Form-specific visual priming for new associations in the right cerebral hemisphere. Memory and Cognition 24:539-56. [EDB]
191. Matheus, C. J. (1991) The need for constructive induction. In: Proceedings of the Eighth International Workshop on Machine learning, ed. L. Birnbaum & G. Collins. Morgan Kaufmann. [aPGS]
192. McGraw, C., Rehling, J. & Goldstone, R. L. (1991) Letter perception: Toward a conceptual approach. In: Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society, 613-18. Erlbaum. [aPGS]
193. Medin, D. L. & Cole); J. D. (in press) Concepts and categorization. In: Handbook of perception and cognition; FerccjMon and cognition at century's end: History, philosophy, theory, ed. J. Hochberg & J. E. Cutting. Academic Press. [MS]
194. Meclin, D. L., Gold-stone, R. L. & Centner, D. (1993) Respects for similarity. Psychological Reliai; 100:234-78. [aPGS]
195. Midialski, R. S. (1983) A theory and methodology of inductive learning. Artificial Intelligence 20:111-61. [aPGS]
196. Mitt-hell, M. (1993) Antilogy-making as perception. MIT Press. [aPGS]
197. Moscovici, S. & Personnaz, B. (1991) Studies in social influence: VI. Is Lenin orange or red? Imagery and social influence. European Journal of Social Psychology 21:101-18. [aPGS]
198. Mozcr, M. (1994) Computational approaches to functional feature learning. In: Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society, 975-76. Erlbaum. [aPGS]
199. Murphy, G. L. & Medin, D. (1985) The role of theories in conceptual coherence. Psychological Review 92:289-316. [aPGS]
200. Murphy, G. L. & Ross, B. (1994) Predictions from uncertain categories. Cognitive Psychology 27:148-93. [aPGS]
201. Neu ell, A. & Rosenbloom, P. S. (1981) Mechanisms of skill acquisition and the law of practice. In: Cognitive skills and their acquisition, ed. J. R. Anderson. Erlbaum. [KW-H]
202. Newell, A. & Simon, II. A. (1972) Unman problem solving. Prentice-Hall. [AC]
203. Norman, G. R., Le Blanc & Brooks, L. R. (1997) On the difficulty of noticing obvious features in patient appearance (submitted). [LRB]
204. Nosofsky, R. M. (1984) Choice, similarity and the context theory of classification. journal of Experimental Psychology: Learning, Memory, and Cognition 10:104-14. [TJP]
205. (1987) Attention and learning processes in the identification and categorization of integral stimuli. Journal of Experimental Psychology: learning, Memory, and Cognition 13:87-108. [aPGS]
206. (1992) Exemplar-based approach to relating categorization, identification, and recognition. In: Multidimensional models of percutions and cognition, ed. F. G. Ashby. Erlbaum. [TJP]
207. Nosofsky, R. M., Palmen, T. J. & McKinley, S. C. (1994) Rule-plus-exception model of classification learning. Psychological Rcvim 101:53-79. [TJP, aPGS]
208. Oaksford, M. & Chater, N. (1991) Against logicist cognitive science. Mind and language 6:1-78. [UH]
209. Oja, E. (1982) A simplified neuron model as a principal components analyzer. Journal of Mathematical Biology 15:267-73. [aPGS]
210. Oliva, A. & Schyns, P. G. (1995) Mandatory scale perception promotes flexible scene categorization. Proceedings of the XVII Meeting of the Cognitive Science Society, 159-63. Erlbaum. [aPGS]
211. (1997) Coarse tasks or fine edges? Evidence that information diagnosticity changes the perceptions of complex visual stimuli. Cognitive Psychology 34:72-107. [aPGS]
212. Olshamen, B. & Field, D. (1996) Natural image statistics and efficient coding. Kcticork 7:333-39. [PJB]
213. OToole, A., Alxli, II., Deffenbacher, K. & Valentin, D. (1993) A low dimensional representation effaces in the hgher dimensions of the space. Journal of the Optical Society of America A 10:405-11. [HA]
214. OToole, A., Deffenbacher, K., Alnli, II. & Bartlett, J. (1991) Simulating the other race effect as a problem in perceptual learning. Connection Sciences 3:163-78. [HA]
215. OToole, A., Vetter, T., Troje, N. F. & Biilthoff, H. II. (1997) Sex classification is better with three-dimensional structure than with image intensity information. Perception 26:75-84. [HA]
216. Palmer, S. (1977) Hierarchical structure in perceptual representation. Cognitive Psychology 9:441-74. [aPGS, AT]
217. Palmcri, T. J. & Nosofsky, R M. (1997) Prototypes and ideal points in ill-defined perceptual categorization (submitted). [TJP]
218. Palmer, S., Rosch, E. & Chase, P. (1981) Canonical perspective and the perception of objects. In: Attention and performances IX, ed. J. Long & A. Baddeley. Erlbaum. [aPGS]
219. Partee, B. II. (1984) Compositionality. In: Varieties of formal semantics, ed. F. Landman & F. Veltman. Foris. [NB]
220. Pask, G. (I960) The natural history of networks. In: Self-organizing systems, ed. M. C. Yovits & S. Cameron. Pergamon Press. [rPGS]
221. Pasnak, R. (1971) Patteni complexity and response to distinctive features. American Journal of Psychology 84:235-45. [CRL]
222. Pernichet, P. (1997) A subjective unit formation account of implicit learning. In: U'/Kif f.y implicit about implicit learning, ed. D. Berry. Oxford University Press. [AC, PP] Pernichet, P. & Vinter, A.
223. (1997) Learning and development: The implicit knowledge assumption reconsidered. In: Handbook of implicit learning, ed. M. Stadier & P. French. Sage Publications. [PP]
224. Perruchet, P., Vintner, A. & Gallego, J. (1997) Implicit learning shapes new conscious percepts and representations. Psychonotnic Bulletin and Review 4:43-48. [PP]
225. Peterson, M. A. & Gibson, B. S. (1994) Must figure-ground organization precede object recognition? An assumption In peril. Psychological Science 5:253-59. [aPGS]
226. Pevtzow, R. & Goldslone, R. L. (1994) Categorization and the parsing of objects. Proceeding of the Sixteenth Annual Conference of the Cognitive Science Society. Erlbaum. [PCQ, arPGS]
227. Phillips, W. A. (1974) On the distinction between sensor)- storage and short-term visual memory. Perception and Psychophysics 16:253-90. [WAP]
228. Phillips, W. A. & Singer, W. (1997) In search for common foundations for cortical computation. Behavioral and Brain Sciences 20(4):. [WAP]
229. Poggio, T. & Edelman, S. (1990) A network that learns to recognize three-dimensional objects. Xature 343:263-66. [aPGS]
230. Poggio, T., Fahle, M. & Edehnan, S. (1992) Fast perceptual teaming in visual hyperaeuity. Science 2.56:1018-21. [SE]
231. Poggio, R. F. & von Gelder, T. (1993) Mind ai motion: Explorations in the dynamics of cognition. MIT Press. [AC]
232. Pomerantz, J. R. & Lockhead, G. R. (1991) Perception of structure: An overview. In: The perception of structure, ed. G. R. Lwkhead & J. R. Pomerantz. American Psychological Association. [SAH]
233. Posner, M. I. & Kcele, S. W. (19GS) On the genesis of abstract ideas. Journal of Experimental Psychology 77:153-63. [TJP]
234. Putnam, II. (1975) Philosophy and our mental life. In: Mind, language and reality; Philosophical Papers, rol. 2. Cambridge University Press. [JEH]
235. Quine, W. (1960) Word and object. MIT Press. [aPGS]
236. Quinn, P. C. (1987) The categorical representation of visual pattern information by young infants. Cognition 27:147-79. [PCQ]
237. Quinn, P. C., Brown, C. R. & Streppa, M. L. (1997) Perceptual organization of complex visual configurations by young infants. Infant Behavior and Development 20:35-46. [PCQ]
238. Qninn, P. C., Burke, S. & Rush, A. (1993) Part-whole perception in early infancy: Evidence for perceptual grouping produced by lightness similarity. Infant Behavior and Development 16:19-42. [PCQ]
239. Reber, A. S. (1993) Implicit learning, and tacit knowledge. Oxford University Press. [AC]
240. Recanzone, G. II., Merzenich, M. M. & Jenkins, W. M. (1992) Frequency discrimination training engaging a restricted skin surface results in an emergence of a cutaneous response zone in cortical area Séjournai of Neurophysiology 67:1057-70. [rPGS]
241. Recanzone, G. II., Schreiner, C. E. & Merzenich, M. M. (1993) Plasticity in the frequency representation of primary auditory cortex following discrimination. Journal of Neuroscicnce 13:57-103. [rPGS]
242. Reiter, R. (1980) A logic for default reasoning. Artificial Intelligence 13:81-132. [UH]
243. Reseller, N. & Oppenheim, P. (1955) Logical analysis of gestalt concepts. British Journal for the Philosophy of Science 6:59-106. [CRL]
244. Riggs, L. A. (1973) Curvature as a feature of pattern vision. Science 181:1199-201. [CRL]
245. (1974) Curvature detectors in human vision? Science 154:1199-201. [CRL]
246. R(xlet, L. & Schyns, P. G. (1994) Learning features of representation in conceptual context. In: Proceedings of the AT/ Meeting of the Cognitive Science Society, 766-71. Erlhaum. [aPGS]
247. Rumclhart, D. E., Hintan, G. E. & Williams, R. ]. (1986) Learning internal representations by error propagation. In: Parallel distributed processing: Explorations in the microstructure of cognition, ed. J. L. McClelland & D. E. Rumelhart. Bradford Books. [GD, aPGS]
248. Saarinen, J. & Levi, D. M. (1995) Perceptual learning in Vernier acuity: What is learned? Vision Research 35:519-27. [rPGS]
249. Saffran, J. R., Newport, E. L., Aslin, R. N., Tunick, R. A. & Barrueco, S. (1997) Incidental language learning. Psychological Science 8:101-05. [PP]
250. Salzman, C. D., Britten, K. II. & N'evvsomc, W. T. (1990) Cortical microstimulation influences perceptual judgements of motion direction. Nature 346:174-77. [AT]
251. Sainmon, J. W. (1969) A nonlinear mapping algorithm for data structure analysis. IEEE Transactions on Computers C-18:401-09. [aPGS]
252. Sanger, T. D. (1989) Principal components, minor components, and linear neural networks. Xeural Xrtirorts 2:459-73. [aPGS]
253. Schank, R. (1972) Conceptual dependency: A theory of natural language understanding. Cognitive Psychology 3:552-631. [aPGS]
254. Sclryns, P. G. (1991) A neural network model of conceptual development. Cognitive Science 15:461-508. [aPGS]
255. (in press) Diagnostic recognition: Task constraints, object information and their interactions. Cognition. [rPGS]
256. Sch)iis, P. G. & Murphy, G. L. (1991) The ontogeny of units in object categories. In: Proceedings of the XIII Meeting of the Cognitive Science Society, 197-202. Erlhaum. [aPGS]
257. (1994) The ontogeny of part representation in object concepts. In: The Psychology of Learning ami Motivation, cd. D. L. Medin. Academic Press. [MS, arPGS, JT]
258. Schyns, P. G. & Oliva, A. (1994) From blobs to boundary edges: Evidence for time and scale dependent scene recognition. Psychological Science 5:195-200. [aPGS]
259. Scions, P. G. & Rodet, L. (1997) Categorization creates functional features. journal of Experimental Psychology: learning, ^femory, and Cognition 23:681-96. (NB, IT, MS, arPGS, AT, KW-H]
260. Sejnowski, T. J., Kienkur, P. K. & Hinton, G. E. (1986) Learning symmetry groups with hidden units: Beyond the perceptron. Pliysica 22D:260-75. [CRL]
261. Sckulcr, A. B., Palmer, S. E. & Fl)im, C. (1992) Ixx-al and global proc-esses in visual completion. Psychological Science 5:260-67. [aPGS]
262. Selfridgc, O. G. (1959) Pandemonium: A paradigm for learning. In: Symposium on the mechanization of thought process, col. 1. Proceedings of a Symposium held at the National Physical Ijlxiratory, U.K., November 1958. Her Majesty's Stationery Office. [aPGS]
263. Serra, ]. (1982) Image analysis and mathematical morjihology, vol. 1. Academic Press. [aPGS]
264. Servan-Sclireibcr, D. & Anderson, J. R. (1990) Learning artificial grammars with competitive chunking, journal of Experimental Psychology: Learning, Memory, anil Cognition 16:592-608. [IT]
265. Scyrankin, G., Singh, M. & Huffman, D. D. (1997) Cuts for parsing visual shapes: 2. Experiments. University of California, Irvine, Mathematical Behavioral Sciences Memo 97-03. [MS]
266. Shashua, A. & Ullman, S. (1988) Structural saliency: The detection of globally salient structures using a locally connected network. Proceedings of the International Conference on Computer Vision, 321-27. [rPGS]
267. Shepard, R. Nt(1957) Stimulus and response generalization: A stochastic model relating generalization to distance in psychological space. Psycltomctrika 22:325-45 [aPCS]
268. (1989) Internal representations of universal regularities: A challenge for connectionism. In: Retirai connections, mental computation, ed. L. Nadel, L. A. Cper, P. Culicover & R. M. Ilamish. MIT Press. [aPGS]
269. Singer, YV. (1995) Developments and plasticity of cortical processing architectures. Science 270:755-64. [WAP]
270. Singh, M., Scyrankin, G. & Hoffman, D. D. (1996) Guts for parsing visual shapes: 1. Theory. University of California, Irvine, Mathematical Behavioral Sciences Memo 96-a3. [MS]
271. Sirovich, L. & Kirby, M (1987) Low dimensional procedure for the characterization of human faces. Journal of the Optical Society of America A 4:519-21. [HA]
272. Smith, C., Carcy, S. & Wiser, M. (1985) On differentiation: A case study of the development of the concepts of size, weight and density. Cognition 21:177-237. [aPGS]
273. Smith, L. B. & Kemler, D. G. (1978) levels of experienced dimensionality in children and adults. Cognitive Psychology 10:502-32. [aPGS]
274. Snippe, II. P. & Koenderink, J. J. (1992) Discrimination thresholds for channel-coded systems. Biological Cybernetics 66:543-51. [AT]
275. Spelke, E. (1994) Initial knowledge: Six suggestions. Cognition 50:431-45. [aPGS]
276. Stoerig. P. & Cowey, A. (1997) Blindsight in man and monkey. Brain 120:5a5-59. [PJB]
277. Tanaka, J. W. & Sengeo, J. A. (in press) Features and their configuration in face recognition. Memory anil Cognition. [JT, PW]
278. Tanaka, J. W. & Taylor, M. (1991) Object categories and expertise: Is the basic level in the eye of the beholder? Cognitive Psychology 23:457-82. [arPGS, JT]
279. Tarr, M. J. & Pinker, S. (1989) Mental rotation and orientation-dependence in shape recognition. Cognitive Psychology 21:233-82. [aPGS]
280. Thibaut, J. P. (1994) Role of variation and knowledge on stimuli segmentation: Developmental aspects. Paper presented at the Sixteenth Annual Meeting of the Cognitive Science Society, Atlanta. [aPGS]
281. (1995) The development of features in children and adults: The case of visual stimuli. In: Proceeding of the Seventeenth Annual Meeting of the Cognitive Science Society, 194-99. Erlbaum. [aPGS]
282. Thibaut, J. P. & Schyns, P. G. (1995) The development of feature spaces for similarity and categorization. Psychologien Belgien 33:167-85. [aPGS]
283. Treisman, A. & Gelade, G. (1980) A feature-integration theory of attention. Cognitive Psychology 12:97-136. [aPGS]
284. Triesman, M., Faulkner, A., Naish, P. L. N. & Rosner, B. S. (1995) Voice-onset time and tone-onset time: The role of criterion-setting mechanisms in categorical perception. Quarterly Journal of Experimental Psycliology 48A:a3l-66. [PJB]
285. Turk, M. & Pentland, A. (1991) Eigenfaccs for recognition. Journal of Cognitive Neuroscieuccs 3:71-86. [HA]
286. Tversky, B. & Ilemenway, K. (1984) Objects, parts, and categories. Journal of Experimental Psychology: General 113:169-93. [JT]
287. Ullman, S. (1984) Visual routines. Cognition 18:97-159. [arPGS]
288. (1989) Aligning pictorial descriptions: An approach to object recognition. Cognition 32:193-254. [aPGS]
289. Valentin, D. (199G) How come when you turn your head I still know who you arc: Evidence from computational simulations and human bchavior. Ph.D. dissertation. The University of Texas at Dallas. [HA]
290. Valentin, D. & Aliili, II. (1996) Can a linear auto-associator recognize faces from new orientations? Journal of the Optical Society of America A 13:717-24. [HA]
291. Valentin, D., Abdi, II. & Edelman, B. (1996) Connectionist face-off: Different algorithms for different tasks. Psychologen Bclffca 36:63-92. [HA]
292. Valentin, D., Abdi, II., Edelman, B. & OTcxile, A. J. (in press) Principal component and neural network anal)ses of face images: How stäble is gender information? Journal of Mathematical Psychology. [HA]
293. Valiant, L. G. (1984) A theory of the learnalile. Communications of the ACM 27:1134-42. [CD]
294. von der Marlshurg, C. (1973) Self-organization of orientation-sensitive cells in the striata cortex. Kybernetik 14:85-100. [rPGS]
295. Ward, T. B. (1983) Response tempo and separahle-integral responding: Evidence for an integral-to-separable processing sequencing in visual perception. Journal of Experimental Psychology: Human Perception and Performance 9:103-12. [aPGS]
296. Watt, H. (1987) Scanning from coarse to fine spatial scales in the human visual system after the onset of a stimulus. Journal of the Optical Society of America A4:2006-21. [aPGS]
297. Weinberger, N. M. (1993) Learning-induced changes of auditor)1 receptive fields. Current Opinion in Xcurobiology 3:570-77. [rPGS]
298. Widrow, G. & Hoff, M. E. (1960) Adaptive witching circuits. Institute of Rad'to Engineers, Western Electronic Show ami Contention, Convention records, vol. 4, 96-191. [aPGS]
299. Wisniewski, E. J. & Medin, D. L. (1994) On the interaction of theory and data in concept learning. Cognitive Science 18:221-81. [aPGS]
300. Witkin, A. (1986) Scale-space filtering. In: Proceedings of the Klnlh International Joint Conference on Artificial Intelligence, 1019-22. Morgan Kaufmann. [aPGS]
301. Yulle, A. L. & Ullman, S. (1990) Computational theories of low-level vision. In: Visual coffiition and action, vol. 2, ed. D. N. Oshcrson, S. M. Kosslyn & J. M. Hollcrbach. MIT Press. [AT]