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	Doumas, L. A. A., & Hummel, J. E. (2007). A computational account of the development of the generalization of shape information. In Proceedings of the Twenty Ninth Annual Conference of the Cognitive Science Society.
	Doumas, L. A. A., & Hummel, J.E. (2004). A fundamental limitation of symbol-argument-argument notation as a model of human relational representations. In Proceedings of the Twenty Second Annual Conference of the Cognitive Science Society, 327-332.
	Morrison, R.G., Krawczyk, D.C., Holyoak, K.J., Hummel, J.E., Chow, T.W., Miller, B.L., & Knowlton, B. J. (2004). A neurocomputational model of analogical reasoning and its breakdown in Frontotemporal Lobar Degeneration. Journal of Cognitive Neuroscience, 16, 260-271.
	Hummel, J. E., & Holyoak, K. J. (2001). A process model of human transitive inference. In M. Gattis (Ed.). Spatial schemas in abstract thought (pp. 279-305). Cambridge, MA: MIT Press.
	Hummel, J.E., Holyoak, K.J., Green, C., Doumas, L.A.A., Devnich, D., Kittur, A., & Kalar, D.J. (2004). A solution to the binding problem for compositional connectionism. In S.D. Levy & R. Gayler: Compositional Connectionism in Cognitive Science: Papers from the AAAI Fall Symposium [Technical Report FS-04-03] (pp. 31-34). Menlo Park, CA: AAAI Press.
	Doumas, L. A. A., & Hummel, J. E. (2005). A symbolic-connectionist model of relation discovery. In B. G. Bara, L. Barsalou, & M. Bucciarelli (Eds.), Proceedings of the Twenty-Third Annual Conference of the Cognitive Science Society, 606-611. Mahwah NJ: LEA.
	Hummel, J. E., & Holyoak, K. J. (2003). A symbolic-connectionist theory of relational inference and generalization. Psychological Review, 110, 220-264.
	Doumas, L. A. A., Bassok, M., Guthormson, A., & Hummel, J. E. (2006). A theory of reflexive relational generalization. In Proceedings of the Twenty Fourth Annual Conference of the Cognitive Science Society.
	Doumas. L. A. A., Hummel, J. E., & Sandhofer, C. M. (2008). A theory of the discovery and predication of relational concepts. Psychological Review, 115,1-43.
	Hummel, J. E., & Stankiewicz, B. J. (1996). An architecture for rapid, hierarchical structural description. In T. Inui and J. McClelland (Eds.). Attention and Performance XVI: Information Integration in Perception and Communication (pp. 93-121). Cambridge, MA: MIT Press.
	Hummel, J. E., Burns, B., & Holyoak, K. J. (1994). Analogical mapping by dynamic binding: Preliminary investigations. In K. J. Holyoak & J. A. Barnden (Eds.), Advances in connectionist and neural computation theory, Vol. 2: Analogical connections (pp. 416-445). Norwood, NJ: Ablex.
	Hummel, J. E., & Holyoak, K. J. (2002). Analogy and creativity: Schema induction in a structure-sensitive connectionist model. In T. Dartnall (Ed.). Creativity, Cognition and Knowledge: An Interaction (pp. 181-210). Westport, CT: Praeger.
	Holyoak, K. J., & Hummel, J. E. (1998). Analogy in a physical symbol system. In K. J. Holyoak, D. Gentner, & B. Kokinov (Eds.), Advances in analogy research: Integration of theory and data from the cognitive, computational, and neural sciences (pp. 9-18). Sofia, Bulgaria: New Bulgarian University.
	Doumas, L. A. A., & Hummel, J. E. (2005). Approaches to modeling human mental representations: What works, what doesn’t and why. In K. J. Holyoak and R. Morrison (Eds.). The Cambridge handbook of thinking and reasoning, 73-91. Cambridge, England: Cambridge University Press.
	Saiki, J., & Hummel, J. E. (1996). Attribute conjunctions and the part configuration advantage in object category learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 22, 1002-1019.
	Hummel, J. E. (1999). Binding problem. The MIT Encyclopedia of the Cognitive Sciences (pp. 85-86). R. A. Wilson and F. C. Keil (Eds.) Cambridge, MA: MIT Press.
	Hummel, J. E., & Stankiewicz, B. J. (1996). Categorical relations in shape perception. Spatial Vision, 10, 201-236.
	Fletcher, C. R., Hummel J. E., & Marsolek C. (1990). Causality and the allocation of attention during comprehension. Journal of Experimental Psychology: Learning, Memory, and Cognition, 16, 233-240.
	Choplin, J. M., and Hummel, J. E. (2005). Comparison-induced decoy effects. Memory and Cognition, 33, 332-343.
	Hummel, J. E. (2001). Complementary solutions to the binding problem in vision: Implications for shape perception and object recognition. Visual Cognition, 8, 489-517.
	Saiki, J., & Hummel, J. E. (1998). Connectedness and part-relation integration in shape category learning. Memory and Cognition, 26, 1138 - 1156.
	Saiki, J. & Hummel, J. E. (1998). Connectedness and the integration of parts with relations in shape perception. Journal of Experimental Psychology: Human Perception and Performance, 24, 227-251.
	Marcus, G. F., Hummel, J. E., Miikkulainen, R., & Shastri, L. (1999). Connectionism: What's structure got to do with it? Proceedings of the Twenty First Annual Conference of the Cognitive Science Society (p. 3). Mahwah, NJ: Erlbaum.
	Hummel, J. E., & Holyoak, K. J. (1997). Distributed representations of structure: A theory of analogical access and mapping. Psychological Review, 104, 427-466. Reprinted in T. A. Polk and C. M. Siefert (Eds.) (2002), Cognitive Modeling. Cambridge, MA: MIT Press.
	Hummel, J. E., & Holyoak, K. J. (1993). Distributing structure over time. Commentary on L. Shastri & V. Ajjanagadde, From simple associations to systematic reasoning: A connectionist representation of rules, variables and dynamic bindings. Behavioral and Brain Sciences, 16, p. 464.
	Hummel, J. E., & Biederman, I. (1992). Dynamic binding in a neural network for shape recognition. Psychological Review, 99, 480-517. Reprinted in T. A. Polk and C. M. Siefert (Eds.) (2002), Cognitive Modeling. Cambridge, MA: MIT Press.
	Hummel, J. E. & Biederman, I. (1990). Dynamic binding: A basis for the representation of shape by neural networks. Proceedings of the Twelfth Annual Conference of the Cognitive Science Society (pp 614-621). Hillsdale, NJ: Erlbaum.
	Wagemans, J., Tarr, M. J., & Hummel, J. E. (1999). Editorial: Special issue on "Visual Object Perception". Acta Psychologica, 102, 105-111.
	Hummel, J. E. (2003). Effective systematicity in, effective systematicity out: A reply to Edelman & Intrator (2003). Cognitive Science, 27, 327-329.
	Biederman, I., Blickle, T., Ju, G., Hilton, H., & Hummel, J. E. (1988). Empirical analyses and connectionist modeling of real-time human image understanding. Proceedings of the Tenth Annual Conference of the Cognitive Science Society (pp 251-256). Hillsdale, NJ: Erlbaum.
	Burns, B., Hummel, J. E., & Holyoak, K. J. (1993). Establishing analogical mappings by synchronizing oscillators. Proceedings of the Fourth Australian Conference on Neural Networks, 49-52.
	Thoma, V., Hummel, J. E., & Davidoff, J. (2004). Evidence for holistic representations of ignored images and analytic representations of attended images. Journal of Experimental Psychology: Human Perception and Performance, 30, 257-267.
	Landy, D. H., & Hummel, J. E. (2009). Explanatory reasoning for inductive confidence. In B. Kokinov, K. Holyoak and D. Gentner (Eds.) New Frontiers in Analogy Research: Proceedings of the Second International Conference on Analogy. Sofia, Bulgaria.
	Green, C. B., & Hummel, J. E. (2006). Familiar interacting object pairs are perceptually grouped. Journal of Experimental Psychology: Human Perception and Performance, 32 (5), 1107-1119.
	Kittur, A., Hummel, J. E., & Holyoak, K, J. (2004). Feature- vs. relation-defined categories: Probab(alistical)ly not the same. In Proceedings of the Twenty Second Annual Conference of the Cognitive Science Society, 696-701.
	Taylor, E. G., & Hummel, J. E. (2009) Finding similarity in a model of relational reasoning. Cognitive Systems Research, 10, 229-239.
	Hummel, J. E., & Kellman, P. K. (1998). Finding the Pope in the pizza: Abstract invariants and cognitive constraints on perceptual learning. Commentary on P. Schyns, R. Goldstone, & J. Thibaut, The development of features in object concepts. Behavioral and Brain Sciences, 21, 30.
	Hummel, J. E., & Landy, D. H. (2009). From analogy to explanation: Relaxing the 1:1 mapping constraintÉ Very carefully. In B. Kokinov, K. Holyoak and D. Gentner (Eds.) New Frontiers in Analogy Research: Proceedings of the Second International Conference on Analogy. Sofia, Bulgaria.
	Biederman, I., Hummel, J. E., Gerhardstein, P. C., & Cooper, E. E. (1992). From image edges to geons to viewpoint invariant object models: A neural net implementation. Applications of Artificial Intelligence X: Machine Vision and Robotics, 1708, 570-578, SPIE Proceedings Series.
	Hummel, J. E., Biederman, I., Gerhardstein, P. C., & Hilton, H. J. (1988). From image edges to geons: A connectionist approach. In D. Touretsky, G. Hinton, & T. Sejnowski (Eds.), Proceedings of the 1988 Connectionist Models Summer School (pp. 462-471). San Mateo: Morgan Kaufman.
	Green. C., & Hummel, J.E. (2004). Functional interactions affect object detection in non-scene displays. In Proceedings of the Twenty Second Annual Conference of the Cognitive Science Society, 488-493.
	Biederman, I., Cooper, E. E., Hummel, J. E., & Fiser, J. (1993). Geon theory as an account of shape recognition in mind, brain, and machine. In J. Illingworth (Ed.) Proceedings of the Fourth British Machine Vision Conference, 1, 175-186. Surrey, U.K.: BMVA Press.
	Kittur, A., Holyoak, K. J., & Hummel, J. E. (2006). Ideals aren’t always typical: Dissociating goodness-of-exemplar from typicality judgments. In Proceedings of the Twenty Fourth Annual Conference of the Cognitive Science Society.
	Devnich, D., Stevens, G.T., & Hummel, J.E. (2003). Independent representation of abstract arguments and relations. In Proceedings of the Twenty Second Annual Conference of the Cognitive Science Society. (There are no page numbers because the Proceedings were published on CD only.)
	Hummel, J.E., & Holyoak, K. J. (1992). Indirect analogical mapping. Proceedings of the Fourteenth Annual Conference of the Cognitive Science Society (516 - 521). Hillsdale, NJ: Erlbaum.
	Hummel, J. E., & Holyoak, K. J. (1996). LISA: A computational model of analogical inference and schema induction. Proceedings of the Eighteenth Annual Conference of the Cognitive Science Society (pp. 352-357). Hillsdale, NJ: Erlbaum.
	Jung, W., & Hummel, J. E. (2009). Learning probabilistic relational categories. In B. Kokinov, K. Holyoak and D. Gentner (Eds.) New Frontiers in Analogy Research: Proceedings of the Second International Conference on Analogy. Sofia, Bulgaria.
	Hummel, J. E. (2000). Localism as a first step toward symbolic representation. Commentary on M. Page, "Connectionist modeling in psychology: A localist manifesto," Behavioral and Brain Sciences, 23 (4).
	Choplin, J. M., & Hummel, J. E. (2002). Magnitude comparisons distort mental representations of magnitude. Journal of Experimental Psychology: General, 131, 270-286.
	Hummel, J. E., Melz, E. R., Thompson, J., & Holyoak, K. J. (1994). Mapping hierarchical structures with synchrony for binding: Preliminary investigations. In A. Ram & K. Eiselt (Eds.), Proceedings of the Sixteenth Annual Conference of the Cognitive Science Society (pp. 433-438). Hillsdale, NJ: Erlbaum.
	Stankiewicz, B. J., & Hummel, J. E. (1996). MetriCat: A representation for basic and subordinate-level classification. Proceedings of the Eighteenth Annual Conference of the Cognitive Science Society (pp. 254-259). Hillsdale, NJ: Erlbaum.
	Cooper, E. E., Biederman, I., & Hummel, J. E. (1992). Metric invariance in object recognition: A review and further evidence. Canadian Journal of Psychology, 46, 191-214.
	Kellman, P. J., Burke, T. & Hummel, J. E. (1999). Modeling perceptual learning of abstract invariants. Proceedings of the Twenty First Annual Conference of the Cognitive Science Society (pp. 264-269). Mahwah, NJ: Erlbaum.
	Holyoak, K. J.,& Hummel, J. E. (2008). No way to start a space program. Commentary on R. Leech, D. Mareschal and R. P. Cooper, Analogy as relational priming: A developmental and computational perspective on the origins of a complex skill, Behavioral and Brain Sciences, 31, 388-389.
	Hummel, J. E. (1995). Object recognition. In M. Arbib (Ed.). The Handbook of Brain Theory and Neural Networks (pp. 658-660). Cambribge, MA: MIT Press.
	Green, C. & Hummel, J.E. (2005). Objects that work together may be perceptually grouped. In B.G. Bara, L. Barsalou, and M. Bucciarelli (Eds.): Proceedings of the 27th Annual Meeting of the Cognitive Science Society, (pp. 821-826). Mahwah, NJ: Erlbaum.
	Biederman, I., Hilton, H. J., & Hummel, J. E. (1991). Pattern goodness and pattern recognition. In J. R. Pomerantz & G. R. Lockhead (Eds.), The Perception of Structure, (Chapter 5, pp. 73-95). Washington, D.C.: APA.
	Taylor, E. G., & Hummel, J. E. (2007). Perspectives on similarity from the LISA model. In Proceedings of AnICA07 (an analogy workshop held in conjunction with the 29th Annual Meeting of the Cognitive Science Society).
	Thoma, V., Davidoff, J., & Hummel, J. E. (2007). Priming of plane-rotated objects depends on attention and view familiarity. Visual Cognition, 15, 179-210.
	Jung, W., & Hummel, J. E. (2009) Probabilistic relational categories are learnable as long as you dont know youre learning probabilistic relational categories. Proceedings of The 31st Annual Conference of the Cognitive Science Society.
	Hummel, J. E., & Saiki, J. (1993). Rapid unsupervised learning of object structural descriptions. Proceedings of the Fifteenth Annual Conference of the Cognitive Science Society (pp 569-574). Hillsdale, NJ: Erlbaum.
	Biederman, I., Cooper, E. E., & Hummel, J. E. (1997). Recognition-by-Geons: 1997's Current Progress and Current Challenges. Image and Vision Computing, 15, 280-284.
	Hummel, J. E. (1994). Reference frames and relations in computational models of object recognition. Current Directions in Psychological Science, 3, 111-116.
	Hummel, J. E., & Ross, B. H. (2006). Relating category coherence and analogy: Simulating category use with a model of relational reasoning. In Proceedings of the Twenty Fourth Annual Conference of the Cognitive Science Society.
	Viskontas, I., Morrison, R., Holyoak, K. J., Hummel, J. E., & Knowlton, B. J. (2004). Relational integration, inhibition, and analogical reasoning in older adults. Psychology and Aging, 19, 581 – 591.
	Green, C. B., & Hummel, J. E. (2004). Relational perception and cognition: Implications for cognitive architecture and the perceptual-cognitive interface. In B. H. Ross (Ed.) The psychology of learning and motivation. Vol 44. (pp. 201-223). San Diego: Academic Press.
	Holyoak, K. J., & Hummel, J. E. (1999). Relational reasoning in a biological symbol system. Festschrift in honor of John H. Holland (pp. 33-37). Ann Arbor, MI: Center for the Study of Complex Systems, University of Michigan.
	Hummel, J. E., & Holyoak, K. J. (2005). Relational reasoning in a neurally-plausible cognitive architecture. Current Directions in Psychological Science, 14, 153–157.
	Hummel, J. E., & Holyoak, K. J. (2003). Relational reasoning in a neurally-plausible cognitive architecture: An overview of the LISA project. Cognitive Studies: Bulletin of the Japanese Cognitive Science Society, 10, 58-75.
	Lu, H., Morrison, R., Hummel, J. E., & Holyoak, K. J. (2006). Role of gamma-band synchronization in priming of form discrimination for multi-object displays. Journal of Experimental Psychology: Human Perception and Performance, 32, 610-617.
	Biederman, I., Hummel, J. E., Cooper, E. E., & Gerhardstein, P. C. (1992). Shape recognition in mind, brain, and machine. In P. Rudomen, M. A. Arbib, F. Cervantes-Perez, & R. Romo (Eds.), Neuroscience: From neural networks to artificial intelligence (pp. 282-293). Berlin: Springer-Verlag.
	Krawczyk, D. C., Holyoak, K. J., & Hummel, J. E. (2004). Structural constraints and object similarity in analogical mapping and inference. Thinking & Reasoning, 10, 85-104.
	Hummel, J. E. (1997). Structure and binding in object perception. In J. W. Donahoe and V. P. Dorsel (Eds.), Neural Network Approaches to Cognition: Biobehavioral Foundations. Amsterdam, The Neterlands: Elsevier Science Publishers.
	Doumas, L. A. A., & Hummel, J.E. (2004). Structure mapping and the predication of novel higher-order relations. In Proceedings of the Twenty Second Annual Conference of the Cognitive Science Society, 333-338.
	Hummel, J. E. (2003). The complementary properties of holistic and analytic representations of object shape. In G. Rhodes and M. Peterson (Eds.), Perception of faces, objects, and scenes: Analytic and holistic processes (pp. 212-234). Westport, CT: Greenwood.
	Krawczyk, D. C., Holyoak, K. J., & Hummel, J. E. (2005). The one-to-one constraint in analogical mapping and inference. Cognitive Science, 29, 29-38.
	Doumas, L. A. A., Holyoak, K. J., & Hummel, J. E. (2006). The problem with using associations to carry binding information. Behavioral and Brain Sciences. Behavioral and Brain Sciences, 29, 38-39.
	Holyoak, K. J., & Hummel, J. E. (2000). The proper treatment of symbols in a connectionist architecture. In E. Dietrich and A. Markman (Eds.). Cognitive Dynamics: Conceptual Change in Humans and Machines (pp. 229 - 264). Hillsdale, NJ: Erlbaum.
	Stankiewicz, B. J., Hummel, J. E., & Cooper, E. E. (1998). The role of attention in priming for left-right reflections of object images: Evidence for a dual representation of object shape. Journal of Experimental Psychology: Human Perception and Performance, 24, 732-744.
	Stankiewicz, B.J. & Hummel, J.E. (2002). The role of attention in scale- and translation-invariant object recognition. Visual Cognition, 9, 719-739.
	Kubose, T. T., Holyoak, K. J., & Hummel, J. E. (2002). The role of textual coherence in incremental analogical mapping. Journal of Memory and Language, 47, 407-435.
	Pedone, R., Hummel, J. E., & Holyoak, K. J. (2001). The use of diagrams in analogical problem solving. Memory and Cognition, 29, 214-221.
	Penn, D. C., Cheng, P. W., Holyoak, K, J., Hummel, J. E., & Povinelli, D. J. (2009). Theres more to thinking than propositions. Commentary on Mitchell et al., The propositional nature of human associative learning, Behavioral and Brain Sciences, 32, 221-223.
	Hummel, J. E., Landy, D. H., & Devnich, D. (2008). Toward a process model of explanation with implications for the binding problem. In Naturally Inspired AI: Papers from the AAAI Fall Symposium. Technical Report FS-08-06, 79-86.
	Hummel, J. E., & Choplin, J. M. (2000). Toward an integrated account of reflexive and reflective reasoning. In L. R. Gleitman and A, K. Joshi (Eds.) Proceedings of the Twenty Second Annual Conference of the Cognitive Science Society (pp. 232 - 237). Mahwah, NJ: Erlbaum.
	Holyoak, K. J., & Hummel, J. E. (2001). Toward an understanding of analogy within a biological symbol system. In D. Gentner, K. J. Holyoak, & B. N. Kokinov (Eds.), The analogical mind: Perspectives from cognitive science (pp. 161-195). Cambridge, MA: MIT Press.
	Hummel, J. E., & Stankiewicz, B. J. (1998). Two roles for attention in shape perception: A structural description model of visual scrutiny. Visual Cognition, 5, 49-79.
	Kittur, A., Holyoak, K. J., & Hummel, J. E. (2006). Using ideal observers in higher-order human category learning. In Proceedings of the Twenty Fourth Annual Conference of the Cognitive Science Society.
	Kroger, J. K., Holyoak, K. J., & Hummel, J. E. (2004). Varieties of sameness: The impact of relational complexity on perceptual comparisons. Cognitive Science, 28, 335-358.
	Knowlton, B. J., McAuliffe, S. P., Coelho, C. J., & Hummel, J. E. (2009). Visual priming of inverted and rotated objects. Journal of Experimental Psychology: Learning, Memory and Cognition, 35, 837-848.
	Hummel, J. E. (2000). Where view-based theories break down: The role of structure in shape perception and object recognition. In E. Dietrich & A. Markman (Eds.). Cognitive dynamics: Conceptual change in humans and machines (pp. 157 - 185). Mahwah, NJ: Erlbaum.
	Landy, D., Jones, E., & Hummel, J. E. (2008) Why spatial-numeric associations aren't evidence for a mental number line. Proceedings of The 30th Annual Conference of the Cognitive Science Society. Washington, D.C.