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Here you will find a representative list of publications by lab members and colleagues. Some files are available for download by clicking on the PDF icon next to the reference. You must have a PDF reader installed to view these files. (download free Adobe reader)

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Jung, W. & Hummel, J. E., (2015). Making probabilistic relational categories learnable. Cognitive Science. doi: 10.1111/cogs.12199
Horne, Z., Powell, D., Hummel, J. E., & Holyoak, K. J. (2015). Countering anti-vaccination attitudes. Proceedings of the National Academy of Sciences
Horne, Z., Powell, D., & Hummel, J. (2015). A single counterexample leads to moral belief revision. Cognitive Science
Jung, W., & Hummel, J. E. (2015). Revisiting WittgensteinÕs puzzle: Hierarchical encoding and comparison facilitate learning of probabilistic relational categories. Frontiers in Psychology.6:110. DOI: 10.3389/fpsyg.2015.00110
Clevenger, P. E. & Hummel, J. E., (2014). Working memory for relations among objects. Attention, Perception and Psychophysics, DOI 10.3758/s13414-013-0601-3.
Hummel, J. E., Licato, J., & Bringsjord, S. (2014). Analogy, explanation, and proof. Frontiers in Human Neuroscience http://journal.frontiersin.org/Journal/10.3389/fnhum.2014.00867/abstract
Jung, W. & Hummel, J. E. (2013). The effects of dual verbal and visual tasks on featural vs. relational category learning. In Proceedings of the 35th Annual Conference of the Cognitive Science Society.
Doumas, L. A. A. & Hummel, J. E. (2013). Comparison and mapping facilitate relation discovery and predication. PLOS One, 8 (6), e63889 . doi:10.1371/ journal.pone.0063889
Wakui, E., Juettner, M., Petters, D., Surinder, K., Hummel, J. E., Davidoff, J. (2013). Earlier development of analytical than holistic object recognition in adolescence. PLOSone, 8(4): e61041. doi:10.1371/journal.pone.0061041
Hummel, J. E. (2013). Object recognition. In D. Reisberg (Ed.) Oxford Handbook of Cognitive Psychology, 32-46, Oxford, UK: Oxford University Press.
Lin, T. -J., Anderson, R. C., Hummel, J. E., Jadallah, M., Miller, B. W., Nguyen-Jahiel, K., Morris, J. A., Kuo, L. -J., Kim, I. -H., Wu, X., & Dong, T. (2012). Childrens use of analogy during Collaborative Reasoning. Child Development, 83, 1429-1443.
Knowlton, B. J., Morrison, R. G., Hummel, J. E., & Holyoak, K. J. (2012). A neurocomputational system for relational reasoning. Trends in Cognitive Sciences, 17, 373-381.
Licato, J., Bringsjord, S., and Hummel, J. E. (2012). Exploring the role of analogico-deductive reasoning in the balance-beam task. In Rethinking Cognitive Development : Proceedings of the 42nd Annual Meeting of the Jean Piaget Society.
Kogut, P., Gordon, J., Morgenthaler, D., Hummel, J., Monroe, E., Goertzel, B., Ethan Trewhitt, E., & Whitake, E. (2011). Recognizing geospatial patterns with biologically-inspired relational reasoning. In Second International Conference on Biologically Inspired Cognitive Architectures (BICA 2011).
Biancaniello, P., Szumowski, T., Rosenbluth, D., Darvill, J., Hinnerschitz, N., Hummel, J., & Mihalas, S. (2011). Towards a biologically-inspired model for relational mapping using spiking neurons. In Second International Conference on Biologically Inspired Cognitive Architectures (BICA 2011).
Hummel, J. E. (2011). Getting symbols out of a neural architecture. Connection Science, 23, 109-118.
Jung, W., & Hummel, J. E. (2011). Progressive alignment facilitates learning of deterministic but not probabilistic relational categories. In Proceedings of the 33rd Annual Conference of the Cognitive Science Society.
Hummel, J. E. (2010). Symbolic vs. associative learning. Cognitive Science, 34, 958-965.
Landy, D. H. & Hummel, J. E. (2010). Explanatory reasoning for inductive confidence. In Proceedings of the 32nd Annual Conference of the Cognitive Science Society.
Doumas, L. L. A., & Hummel, J. E. (2010). A computational account of the development of the generalization of shape information. Cognitive Science, 34, 698 Š 712.
Doumas, L. A. A., & Hummel, J. E. (2010). Computational models of higher cognition. In K. J. Holyoak and R. G. Morrison (Eds.) The Oxford handbook of thinking and reasoning. Oxford, England: Oxford University Press.
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.
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.
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.
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.
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.
Taylor, E. G., & Hummel, J. E. (2009) Finding similarity in a model of relational reasoning. Cognitive Systems Research, 10, 229-239.
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.
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.
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.
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.
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).
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.
Thoma, V., Davidoff, J., & Hummel, J. E. (2007). Priming of plane-rotated objects depends on attention and view familiarity. Visual Cognition, 15, 179-210.
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.
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.
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.
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.
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.
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.
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.
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.
Choplin, J. M., and Hummel, J. E. (2005). Comparison-induced decoy effects. Memory and Cognition, 33, 332-343.
Hummel, J. E., & Holyoak, K. J. (2005). Relational reasoning in a neurally-plausible cognitive architecture. Current Directions in Psychological Science, 14, 153–157.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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. (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.
Hummel, J. E. (2003). Effective systematicity in, effective systematicity out: A reply to Edelman & Intrator (2003). Cognitive Science, 27, 327-329.
Hummel, J. E., & Holyoak, K. J. (2003). A symbolic-connectionist theory of relational inference and generalization. Psychological Review, 110, 220-264.
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.
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.
Stankiewicz, B.J. & Hummel, J.E. (2002). The role of attention in scale- and translation-invariant object recognition. Visual Cognition, 9, 719-739.
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.
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. (2001). Complementary solutions to the binding problem in vision: Implications for shape perception and object recognition. Visual Cognition, 8, 489-517.
Pedone, R., Hummel, J. E., & Holyoak, K. J. (2001). The use of diagrams in analogical problem solving. Memory and Cognition, 29, 214-221.
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.
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. (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).
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.
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. (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.
Wagemans, J., Tarr, M. J., & Hummel, J. E. (1999). Editorial: Special issue on "Visual Object Perception". Acta Psychologica, 102, 105-111.
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.
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.
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.
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.
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.
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.
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.
Saiki, J., & Hummel, J. E. (1998). Connectedness and part-relation integration in shape category learning. Memory and Cognition, 26, 1138 - 1156.
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.
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.
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. (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.
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., & Stankiewicz, B. J. (1996). Categorical relations in shape perception. Spatial Vision, 10, 201-236.
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., & 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., & 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.
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.
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.
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., 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.
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. (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., & 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., & 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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.
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.