A behavior-based circuit model of how outcome expectations organize learned behavior in larval Drosophila

  1. Bertram Gerber1,2,4,5,6
  1. 1Universität Würzburg, Biozentrum, Neurobiologie und Genetik, Am Hubland, 970 74 Würzburg, Germany
  2. 2Universität Leipzig, Institut für Biologie, Genetik, Talstrasse 33, 041 03 Leipzig, Germany
  3. 3Université de Fribourg, Chemin du Musée 10, 1700 Fribourg, Switzerland
  4. 4Leibniz Institut für Neurobiologie (LIN), Abteilung Genetik von Lernen und Gedächtnis, Brenneckest. 6, 39118 Magdeburg, Germany
  5. 5Otto von Guericke Universität Magdeburg, Institut für Biologie, Verhaltensgenetik, Universitätsplatz 2, 39106 Magdeburg, Germany

    Abstract

    Drosophila larvae combine a numerically simple brain, a correspondingly moderate behavioral complexity, and the availability of a rich toolbox for transgenic manipulation. This makes them attractive as a study case when trying to achieve a circuit-level understanding of behavior organization. From a series of behavioral experiments, we suggest a circuitry of chemosensory processing, odor–tastant memory trace formation, and the “decision” process to behaviorally express these memory traces—or not. The model incorporates statements about the neuronal organization of innate vs. conditioned chemosensory behavior, and the types of interaction between olfactory and gustatory pathways during the establishment as well as the behavioral expression of odor–tastant memory traces. It in particular suggests that innate olfactory behavior is responsive in nature, whereas conditioned olfactory behavior is captured better when seen as an action in pursuit of its outcome. It incorporates the available neuroanatomical and behavioral data and thus should be useful as scaffold for the ongoing investigations of the chemo-behavioral system in larval Drosophila.

    Footnotes

    • 6 Corresponding author.

      E-mail bertram.gerber{at}uni-leipzig.de.

    • [Supplemental material is available for this article.]

    • Received July 19, 2011.
    • Accepted July 26, 2011.
    | Table of Contents