John ClapperAssociate Professor
Ph.D., Stanford University
General Experimental Psychology
Research and Teaching Interests:
Cognitive psychology, categories and concepts, unsupervised learning, attention and memory organization, computational models of human learning.
Clapper, J. P. (2014). The impact of training sequence and between-category similarity on unsupervised induction. Quarterly Journal of Experimental Psychology. In press.
Clapper, J. P. (2012). The effects of prior knowledge on incidental category learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 38(6), 1558-1577.
Clapper, J. P. (2007). Category learning as schema induction. In Gluck, M. A., Anderson, J. R , & Kosslyn, S. M. (Eds.). Memory and Mind: A Festschrift for Gordon H. Bower. New Jersey: Lawrence Erlbaum Associates.
Clapper, J. P., (2007). Prior knowledge and correlational structure in unsupervised learning . Canadian Journal of Experimental Psychology, 61, 109-127. |
Clapper, J. P. (2006). When more is less: negative exposure effects in unsupervised learning . Memory and Cognition, 34, 890-902.
Clapper, J. P. & Bower, G. H. (2002). Adaptive categorization in unsupervised learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 28, 909-923.
Clapper, J. P. & Bower, G. H. (1994) Category invention in unsupervised learning. Journal of Experimental Psychology: Learning, Memory, and Cognition, 20, 443-460.
Clapper, J. P. & Bower, G. H. (1991). Learning and applying category knowledge in unsupervised domains. In G. H. Bower (Ed.), The Psychology of Learning and Motivation, Vol. 27, New York: Academic Press.