Welcome to the Knowledge and Concepts Laboratory at the University of Wisconsin-Madison. We are interested in understanding human semantic memory: our store of knowledge about the meanings of words, objects and events.

Specifically, we would like to understand how semantic knowledge is represented and processed in the mind and brain, how it is acquired throughout development, how semantic tasks are performed by healthy adults and experts, and how various forms of brain damage can disrupt semantic knowledge. We address these questions using computer models, functional neuroimaging, and behavioral studies.

We are located at 1202 West Johnson Street in Madison. Please direct any inquiries regarding current studies to the lab at (608) 890-0690, or click here for email.

To visit Tim's home page, click here.

* Papers currently in press (for preprints, please email us here).

Rogers, T. T. and McClelland, J. L. (in press). A précis of Semantic Cognition: A Parallel Distributed Processing Approach. Behavioral and Brain Sciences.

Patterson, K., Nestor, P. and Rogers, T. T. (in press). Where do you know what you know? The representation of semantic knowledge in the human brain. Nature Reviews: Neuroscience.

Rogers, T. T. (in press). Computational models of semantic memory. To appear in The Cambridge Handbook of Computational Psychology, R. Sun (Ed.), Cambridge, UK: Cambridge University Press.

Rogers, T. T. (in press). Connectionist models. To appear in The New Encyclopaedia of Neuroscience, L. Squire (Ed.), Amsterdam: Elsevier.

* Papers recently published (look here for reprints)

Rogers, T. T. , Graham, K. and Patterson, K. (2007). Colour knowledge in semantic dementia: It’s not all black and white. Neuropsychologia, 45, 3285-3298.

Rogers, T. T. and Patterson, K. (2007) Object categorization: Reversals and explanations of the basic-level advantage. Journal of Experimental Psychology: General , 136(3), 451-469.

Zhu, X., Rogers, T. T., Qian, R. and Kalish, C. (2007). Humans perform semi-supervised classification too. Proceedings of the American Association for Artificial Intelligence.

Hauk, O., Patterson, K., Woollams, A., Pye, E., Pulvermuller, F. and Rogers, T. T. (2007). How the camel lost its hump: The impact of object typicality on ERP signals in object decision. Journal of Cognitive Neuroscience, 19(8), 1338-1353.

Lambon Ralph, M. A., Lowe, C., and Rogers, T. T. (2007). The neural basis of category-specific semantic deficits for living things: Evidence from semantic dementia, HSVE and a neural network model. Brain, 130, 1127-1137.