We are interested in the factors that influence how novel objects are perceptually represented as measured in behavioral experiments and by fMRI. We are particularly interested in how learning to categorize objects influences how those objected are represented.
Richler, J.J., & Palmeri, T.J. (2014). Visual category learning. Wiley Interdisciplinary Reviews in Cognitive Science, 5, 75-94.
Folstein, J., Palmeri, T.J., Gauthier, I (2013). Category learning increases discriminability of relevant object dimensions in visual cortex. Cerebral Cortex, 23(4), 814-823.
Folstein, J., Gauthier, I., & Palmeri, T.J. (2012). Not all morph spaces stretch alike: How category learning affects object perception. Journal of Experimental Psychology: Learning, Memory, and Cognition.
Gauthier, I., Wong, A.C.-N., Palmeri, T.J. (2010). Manipulating visual experience: Comment on Op de Beeck and Baker. Trends in Cognitive Science, 14, 235-236.
Wong, A.C.-N., Palmeri, T.J., Rogers, B.P., Gore, J.C., & Gauthier, I. (2009). Beyond shape: Experience can determine patterns of category selectivity in the visual system. PLoS One, 4(12), e8405.
Wong, A.C.-N., Palmeri, T.J., & Gauthier I. (2009). Conditions for face-like expertise with objects: Becoming a Ziggerin expert“ – but which type? Psychological Science, 20, 1108-1117.
Palmeri, T.J., & Tarr, M. (2008). Visual object perception and long-term memory. In S. Luck & A. Hollingworth (Eds., pp. 163-207), Visual Memory. Oxford University Press.
Palmeri, T.J., & Gauthier, I. (2004). Visual object understanding. Nature Reviews Neuroscience, 5, 291-303.
Gauthier, I., & Palmeri, T.J. (2002). Visual neurons: Categorization-based selectivity. Current Biology, 12, R282-R284.