Fragment-based learning of visual object categories in non-human primates.
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.
Brain and Behavior Discovery Institute, Medical College of Georgia, Augusta, Georgia, USA.
Sarah
S
Kromrey
Matthew
M
Maestri
Karin
K
Hauffen
Evgeniy
E
Bart
Jay
J
Hegdé
D000465:Algorithms; D000818:Animals; D006801:Humans; D007858:Learning / Q000502:physiology*; D008253:Macaca mulatta / Q000502:physiology*; D008297:Male; D010364:Pattern Recognition, Visual / Q000502:physiology*; D010775:Photic Stimulation; D011597:Psychomotor Performance / Q000502:physiology*; D011897:Random Allocation; D013647:Task Performance and Analysis