John E. Hummel
Professor of Psychology
Professor of Philosophy
Address: 825 Psychology Bldg.
603 E. Daniel Street
Champaign, IL 61820
- Telephone: (217)265-6090
My students and I are interested primarily in the representation and processing of relations. Along with language, the ability to perceive, represent and reason about relations is the major factor distinguishing human thinking from the cognitive abilities of all other animals: It is what makes us the dominant species on the planet. How can neural architectures (brains or artificial neural networks) generate, represent and manipulate relational structures? How does the human mind's solution to this problem manifest itself in observable behavior? My collaborators, students and I investigate these issues in several domains. One line of research concerns the representation of relational structure in visual perception: How do we represent the relations among an object's parts or features? Under what circumstances, and in what form, will we explicitly encode these relations, and how does our encoding affect the manner in which we recognize and categorize objects? What is the role of visual attention in the representation of object shape? We address these questions both empirically, by conducting experiments on object perception, recognition and categorization with human subjects, and theoretically, by developing and testing computational (symbolic neural network) models of object perception and recognition. Another line of research concerns the representation and processing of relational information in thinking and reasoning. We have developed a symbolic neural network model--LISA (Learning and Inference with Schemas and Analogies; Hummel & Holyoak, 1997, 2003, Psychological Review)--of analogical mapping, analogy- and rule-based inference, and schema induction. We recently generalized the LISA model to account for aspects of cognitive development, especially the development of relational concepts and relational representations (the DORA model; Doumas, Hummel & Sandhofer, 2008, Psych. Review). Our group is also interested in how adults learn relational concepts and categories -- especially relational categories that have a "family resemblance" structure, in which no single relation is shared by all members of the category. We also investigate how people generate explanations, and how the resulting explanations affect judgements of likelihood. In this domain, as in the others, we both build computational models and conduct experiments with human subjects.
- PhD, University of Minnesota
- Cognitive Science (Psych 357/514)
- Experimental Methods for Cognitive Psych. Lab (Psych 331)
- Neural Network Modeling Laboratory (Psych 489)
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.
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., & Holyoak, K. J. (2003). A symbolic-connectionist theory of relational inference and generalization. Psychological Review, 110, 220-264.
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.
Morrison, R.G., Krawczyk, D.C., Holyoak, K.J., Hummel, J.E., Chow, T.W., Miller, B.L., & Knowlton. (2004). A neurocomputational model of analogical reasoning and its breakdown in Frontotemporal Lobar Degeneration. Journal of Cognitive Neuroscience, 16, 260-271.
Technology Services employees have been working over the winter break to upgrade wireless capability in the building. This includes installing additional routers to give us more access points. The basement and first floor are finished, and the workers will be working on the upper floors during the week and weekend to finish the upgrade as soon as possible.