Other Publications (1)
Articles by Karin Hauffen in JoVE
Creating Objects and Object Categories for Studying Perception and Perceptual Learning Karin Hauffen1,2,3, Eugene Bart4, Mark Brady5, Daniel Kersten6, Jay Hegdé1,2,3 1Brain and Behavior Discovery Institute, Georgia Health Sciences University, 2Vision Discovery Institute, Georgia Health Sciences University, 3Department of Opthalmology, Georgia Health Sciences University, 4Intelligent Systems Laboratory, Palo Alto Research Center, 5Pattern Recognition Systems, Palo Alto Research Center, 6Department of Psychology, University of Minnesota We describe a novel methodology for creating naturalistic 3-D objects and object categories with precisely defined feature variations. We use simulations of the biological processes of morphogenesis and phylogenesis to create novel, naturalistic virtual 3-D objects and object categories that can then be rendered as visual images or haptic objects.
Other articles by Karin Hauffen on PubMed
Fragment-based Learning of Visual Object Categories in Non-human Primates PloS One. 2010 | Pubmed ID: 21124837 When we perceive a visual object, we implicitly or explicitly associate it with an object category we know. Recent research has shown that the visual system can use local, informative image fragments of a given object, rather than the whole object, to classify it into a familiar category. We have previously reported, using human psychophysical studies, that when subjects learn new object categories using whole objects, they incidentally learn informative fragments, even when not required to do so. However, the neuronal mechanisms by which we acquire and use informative fragments, as well as category knowledge itself, have remained unclear. Here we describe the methods by which we adapted the relevant human psychophysical methods to awake, behaving monkeys and replicated key previous psychophysical results. This establishes awake, behaving monkeys as a useful system for future neurophysiological studies not only of informative fragments in particular, but also of object categorization and category learning in general.