Fragment-based learning of visual object categories in non-human primates

Sarah Kromrey, Matthew Maestri, Karin Hauffen, Evgeniy Bart, Jay Hegdé

Research output: Contribution to journalArticlepeer-review

8 Scopus citations

Abstract

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.

Original languageEnglish (US)
Article numbere15444
JournalPloS one
Volume5
Issue number11
DOIs
StatePublished - 2010

ASJC Scopus subject areas

  • General Biochemistry, Genetics and Molecular Biology
  • General Agricultural and Biological Sciences
  • General

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