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Random convergence of olfactory inputs in the Drosophila mushroom body

Author

Listed:
  • Sophie J. C. Caron

    (College of Physicians and Surgeons, Columbia University)

  • Vanessa Ruta

    (Laboratory of Neurophysiology and Behavior, The Rockefeller University)

  • L. F. Abbott

    (College of Physicians and Surgeons, Columbia University
    College of Physicians and Surgeons, Columbia University)

  • Richard Axel

    (College of Physicians and Surgeons, Columbia University
    College of Physicians and Surgeons, Columbia University
    Howard Hughes Medical Institute, Columbia University)

Abstract

In Drosophila, olfactory sensory neurons project to spatially invariant loci (glomeruli) and stereotyped circuitry is maintained in projections to a brain centre thought to mediate innate behaviours; here it is shown that neurons of the mushroom body, a centre that translates olfactory information into learned behaviours, integrate input from an apparently random combination of glomeruli, which could allow the fly to contextualize novel sensory experiences.

Suggested Citation

  • Sophie J. C. Caron & Vanessa Ruta & L. F. Abbott & Richard Axel, 2013. "Random convergence of olfactory inputs in the Drosophila mushroom body," Nature, Nature, vol. 497(7447), pages 113-117, May.
    • Handle: RePEc:nat:nature:v:497:y:2013:i:7447:d:10.1038_nature12063
    DOI: 10.1038/nature12063
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    Cited by:

    1. Hagai Lalazar & L F Abbott & Eilon Vaadia, 2016. "Tuning Curves for Arm Posture Control in Motor Cortex Are Consistent with Random Connectivity," PLOS Computational Biology, Public Library of Science, vol. 12(5), pages 1-27, May.
    2. Yilun Zhang & Tatyana O Sharpee, 2016. "A Robust Feedforward Model of the Olfactory System," PLOS Computational Biology, Public Library of Science, vol. 12(4), pages 1-15, April.
    3. Tyler R. Sizemore & Julius Jonaitis & Andrew M. Dacks, 2023. "Heterogeneous receptor expression underlies non-uniform peptidergic modulation of olfaction in Drosophila," Nature Communications, Nature, vol. 14(1), pages 1-22, December.
    4. Sanjoy Dasgupta & Daisuke Hattori & Saket Navlakha, 2022. "A neural theory for counting memories," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    5. Tugce Yildizoglu & Jan-Marek Weislogel & Farhan Mohammad & Edwin S-Y Chan & Pryseley N Assam & Adam Claridge-Chang, 2015. "Estimating Information Processing in a Memory System: The Utility of Meta-analytic Methods for Genetics," PLOS Genetics, Public Library of Science, vol. 11(12), pages 1-27, December.

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