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

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

Research output: Contribution to journalArticle

4 Citations (Scopus)

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 - Dec 7 2010

Fingerprint

Primates
Haplorhini
monkeys
learning
Learning
methodology
Research

ASJC Scopus subject areas

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)

Cite this

Fragment-based learning of visual object categories in non-human primates. / Kromrey, Sarah; Maestri, Matthew; Hauffen, Karin; Bart, Evgeniy; Hegde, Jay.

In: PloS one, Vol. 5, No. 11, e15444, 07.12.2010.

Research output: Contribution to journalArticle

Kromrey, Sarah ; Maestri, Matthew ; Hauffen, Karin ; Bart, Evgeniy ; Hegde, Jay. / Fragment-based learning of visual object categories in non-human primates. In: PloS one. 2010 ; Vol. 5, No. 11.
@article{5aebb5f971b04f32b791b2067db122e2,
title = "Fragment-based learning of visual object categories in non-human primates",
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.",
author = "Sarah Kromrey and Matthew Maestri and Karin Hauffen and Evgeniy Bart and Jay Hegde",
year = "2010",
month = "12",
day = "7",
doi = "10.1371/journal.pone.0015444",
language = "English (US)",
volume = "5",
journal = "PLoS One",
issn = "1932-6203",
publisher = "Public Library of Science",
number = "11",

}

TY - JOUR

T1 - Fragment-based learning of visual object categories in non-human primates

AU - Kromrey, Sarah

AU - Maestri, Matthew

AU - Hauffen, Karin

AU - Bart, Evgeniy

AU - Hegde, Jay

PY - 2010/12/7

Y1 - 2010/12/7

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=78649658556&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=78649658556&partnerID=8YFLogxK

U2 - 10.1371/journal.pone.0015444

DO - 10.1371/journal.pone.0015444

M3 - Article

VL - 5

JO - PLoS One

JF - PLoS One

SN - 1932-6203

IS - 11

M1 - e15444

ER -