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Principal component analysis of odor coding at the level of third-order olfactory neurons in Drosophila

  • Makoto Hiroi
  • , Masamichi Ohkura
  • , Junichi Nakai
  • , Naoki Masuda
  • , Koichi Hashimoto
  • , Kiichi Inoue
  • , André Fiala
  • , Tetsuya Tabata
  • The University of Tokyo
  • Saitama University
  • Tohoku University
  • University of Göttingen

Research output: Contribution to journal › Article › peer-review

6 Scopus citations

Abstract

Olfactory information in Drosophila is conveyed by projection neurons from olfactory sensory neurons to Kenyon cells (KCs) in the mushroom body (MB). A subset of KCs responds to a given odor molecule, and the combination of these KCs represents a part of the neuronal olfactory code. KCs are also thought to function as coincidence detectors for memory formation, associating odor information with a coincident punishment or reward stimulus. Associative conditioning has been shown to modify KC output. This plasticity occurs in the vertical lobes of MBs containing α/α' branches of KCs, which is shown by measuring the average Ca2+ levels in the branch of each lobe. We devised a method to quantitatively describe the population activity patterns recorded from axons of >1000 KCs at the α/α' branches using two-photon Ca2+ imaging. Principal component analysis of the population activity patterns clearly differentiated the responses to distinct odors.

Original languageEnglish
Pages (from-to)1070-1081
Number of pages12
JournalGenes to Cells
Volume18
Issue number12
DOIs
StatePublished - Dec 2013

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