Date: Thu, 21 Nov 1996 21:17:51 GMT
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Irving Biederman is the William M. Keck Professor of Cognitive Neuroscience at the University of Southern California, where he is a member of the Departments of Pyschology, Computer Science, and Neuroscience and Head of the Cognitive and Behavioral Neuroscience Program. Professor Biederman has proposed a theory of real- time human object recognition that posits that objects and scenes are represented as an arrangement of simple volumetric primitives , termed geons. This theory has undergone extensive assessment in psychophysical experiments. Recently, he has employed a neural network model to provide a more biologically based version of the geon assemblage theory which is currently undergoing tests through single unit recording experiment in monkeys, fMRI, and the study of the impairment of object recognition in patients with a variety of neurological symptoms. Hummel, J. E. & Biederman, I. (1992). Dynamic binding in a neural network for shape recognition. Psychological Review, 99, 480-517. Biederman, I. (1990). Higher level vision. In D.N. Osherson, S. Kosslyn, & J. Hollerbach (Eds.) An Invitation to Cognitive Science: Visual Cognition and Action, Volume 2, Pp. 41-72, Cambridge, MA:MIT.