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Mushroom body output neurons encode valence and guide memory-based action selection in Drosophila

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Aso, Yoshinori, Sitaraman, Divya, Ichinose, Toshiharu, Kaun, Karla R, Vogt, Katrin, Belliart-Guérin, Ghislain, Plaçais, Pierre-Yves, Robie, Alice A, Yamagata, Nobuhiro, Schnaitmann, Christopher, Rowell, William J, Johnston, Rebecca M, Ngo, Teri-T B, Chen, Nan, Korff, Wyatt, Nitabach, Michael N, Heberlein, Ulrike, Preat, Thomas, Branson, Kristin M, Tanimoto, Hiromu, Rubin, Gerald M·2014·eLife
DOI 10.7554/elife.04580
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Abstract

Animals discriminate stimuli, learn their predictive value and use this knowledge to modify their behavior. In Drosophila, the mushroom body (MB) plays a key role in these processes. Sensory stimuli are sparsely represented by ∼2000 Kenyon cells, which converge onto 34 output neurons (MBONs) of 21 types. We studied the role of MBONs in several associative learning tasks and in sleep regulation, revealing the extent to which information flow is segregated into distinct channels and suggesting possible roles for the multi-layered MBON network. We also show that optogenetic activation of MBONs can, depending on cell type, induce repulsion or attraction in flies. The behavioral effects of MBON perturbation are combinatorial, suggesting that the MBON ensemble collectively represents valence. We propose that local, stimulus-specific dopaminergic modulation selectively alters the balance within the MBON network for those stimuli. Our results suggest that valence encoded by the MBON ensemble biases memory-based action selection.

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Metadata

Authors
Aso, Y., Sitaraman, D., Ichinose, T., Kaun, K. R., Vogt, K., Belliart-Guérin, G., Plaçais, P.-Y., Robie, A. A., Yamagata, N., Schnaitmann, C., Rowell, W. J., Johnston, R. M., Ngo, T.-T. B., Chen, N., Korff, W., Nitabach, M. N., Heberlein, U., Preat, T., Branson, K. M., Tanimoto, H., & Rubin, G. M.
Venue
eLife
Publisher
eLife Sciences Publications, Ltd
Published
2014-12-23
Volume
3
Pages
e04580-e04580
ISSN
2050-084X (ISSN-L)
DOI
10.7554/elife.04580
OpenAlex
W1999985543
Cited by
696
References
13
FWCI
18.65
Type
journal article
Language
en
Open access
gold
Licence
Funders
  • Howard Hughes Medical Institute (Janelia Visiting Scientist Program)
  • Agence Nationale de la Recherche
  • Labex MemoLife
  • Bundesministerium für Bildung und Forschung (Bernstein Focus Neurobiology of Learning 01GQ0932)
  • Max-Planck-Gesellschaft
  • Deutsche Forschungsgemeinschaft (TA 552/5-1)
  • Japan Society for the Promotion of Science (MEXT/JSPS KAKENHI 25890003, 26120705, 26119503 and 26250001)
  • Naito Foundation
  • National Institute of Neurological Disorders and Stroke (R01NS055035, R01NS056443, R01NS091070)
  • National Institute of General Medical Sciences (R01GM098931)

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

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Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.