About the authors
Sylvan Kornblum is the original creator of the Dimensional Overlap model (more info: A brief history of the model).
Dr. Kornblum was born in Antwerp, Belgium. He earned a B.A. from Washington University in 1951, an M.A. in Philosophy from the University of Michigan in 1953, and a Ph.D. in Psychology from the University of Michigan in 1960. He has always had a strong interest in psychophysics, reaction time, and mathematical psychology. His research has spanned topics such as repetition effects in reaction time, response preparation and motor control, selective attention and compatibility effects, and neural correlates of stimulus identification and response selection.
Dr. Kornblum was a founding member and Secretary-Treasurer (1974—1998) of the International Association for the Study of Attention and Performance, is Fellow of the American Association for the Advancement of Science, Fellow of the Psychological Society, and Fellow of the American Psychological Association, (Division 3, Experimental Psychology), and Research Scientist Emeritus, Molecular & Behavioral Neuroscience Institute. He has received grants from Air Force Office of Scientific Research, the National Institutes of Health, the National Science Foundation, the National Institutes of Mental Health, NATO, and Office of Naval Research and Army Research Institute. He was a Professor of Psychology and Psychiatry from 1974 to 1998, and is currently Professor Emeritus of both Psychology and Psychiatry, at the University of Michigan.
A full list of Dr. Kornblum’s publications and academic achievements can be found here: http://www-personal.umich.edu/~kornblum/.
Greg Stevens developed the computational, connectionist network model of performance based on Sylvan Kornblum’s Dimensional Overlap model (more info: The computational model).
Dr. Stevens was born in Providence, Rhode Island. He earned a B.A. in Cognitive Science from the University of Rochester in 1995 and a Ph.D. in Psychology from the University of Michigan in 2000. Although he has pursued a diverse set of research interests, the underlying theme been the development of network or dynamic systems computational models for understanding complex behavior. His research has spanned such topics as emergent small-group social dynamics, choice reaction time and compatibility effects, and the representation of structured symbolic information in neural networks.
Dr. Stevens has received research funding from the Department of Defense National Defense Science and Engineering Graduate Fellowship, the Rackham Graduate School Predoctoral Fellowship, and the NIH Individual National Research Service Award. While at the University of Michigan, he also won the Clyde Hamilton Coombs Scholarship in Mathematical Psychology and completed two interdisciplinary graduate certificate programs: Culture & Cognition and Complex Adaptive Systems. After teaching and working as a research fellow at the University of California, Los Angeles, he made the transition out of academia and became a business intelligence and data modeling consultant in the private sector.
A full list of Dr. Stevens’ publications can be found here: http://visualcv.com/gregstevens.