Evidence map›Paper›PMID 32203499›Full record

ArticleNature neuroscience2020

Recurrent architecture for adaptive regulation of learning in the insect brain.

Claire Eschbach, Akira Fushiki, Michael Winding, Casey M Schneider-Mizell, Mei Shao, Rebecca Arruda, Katharina Eichler, Javier Valdes-Aleman, Tomoko Ohyama, Andreas S Thum and 6 more

Open access · greenAbstract read
In one paragraph

Article in Nature neuroscience, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 76 papers.

0numbers the graph read from it
0cells of the map it votes in
76citing papers in PubMed
12.3field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

76 citing papers in PubMed, 183 citations in OpenAlex.

  1. The larvalScience advances · 2026
    Article
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  4. The larvalbioRxiv : the preprint server for biology · 2026
    Article
  5. Octopamine instructs head direction plasticity.bioRxiv : the preprint server for biology · 2025
    Article
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  16. Hierarchical communities in the larvalProceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  17. Article
  18. Review
  19. Review
  20. Review

16 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

16 authors at 7 institutions in 5 countries.

Claire Eschbach *HHMI Janelia Research Campus, Ashburn, VA, USA.ORCID http://orcid.org/0000-0002-8092-3440
Akira Fushiki *HHMI Janelia Research Campus, Ashburn, VA, USA.
Michael WindingHHMI Janelia Research Campus, Ashburn, VA, USA.
Casey M Schneider-MizellHHMI Janelia Research Campus, Ashburn, VA, USA.ORCID http://orcid.org/0000-0001-9477-3853
Mei ShaoHHMI Janelia Research Campus, Ashburn, VA, USA.
Rebecca ArrudaHHMI Janelia Research Campus, Ashburn, VA, USA.
Katharina EichlerHHMI Janelia Research Campus, Ashburn, VA, USA.ORCID http://orcid.org/0000-0002-7833-8621
Javier Valdes-AlemanHHMI Janelia Research Campus, Ashburn, VA, USA.ORCID http://orcid.org/0000-0002-1577-1057
Tomoko OhyamaHHMI Janelia Research Campus, Ashburn, VA, USA.
Andreas S ThumDepartment of Genetics, Institute for Biology, University of Leipzig, Leipzig, Germany.ORCID http://orcid.org/0000-0002-3830-6596
Bertram GerberAbteilung Genetik von Lernen & Gedächtnis, Leibniz Institut für Neurobiologie, Otto von Guericke University Magdeburg, Institut für Biologie, Verhaltensgenetik, & Center for Behavioral Brain Sciences, Magdeburg, Germany.ORCID http://orcid.org/0000-0003-3003-0051
Richard D FetterHHMI Janelia Research Campus, Ashburn, VA, USA.ORCID http://orcid.org/0000-0002-1558-100X
James W TrumanHHMI Janelia Research Campus, Ashburn, VA, USA.
Ashok Litwin-KumarDepartment of Neuroscience, Zuckerman Mind Brain Behavior Institute, Columbia University, New York, NY, USA. ak3625@columbia.edu.ORCID http://orcid.org/0000-0003-2422-6576
Albert CardonaHHMI Janelia Research Campus, Ashburn, VA, USA. acardona@mrc-lmb.cam.ac.uk.ORCID http://orcid.org/0000-0003-4941-6536
Marta ZlaticHHMI Janelia Research Campus, Ashburn, VA, USA. mzlatic@mrc-lmb.cam.ac.uk.ORCID http://orcid.org/0000-0002-3149-2250
Janelia Research Campus · USMRC Laboratory of Molecular Biology · GBAllen Institute for Brain Science · USCenter for Behavioral Brain Sciences · DEColumbia University · USLeipzig University · DEUniversity of Puerto Rico, Medical Sciences Campus · PR

Funding

European Research Council 819650Howard Hughes Medical InstituteMedical Research Council MC_UP_1201/20Wellcome Trust 205038/A/16/ZWellcome Trust 205038/Z/16/ZWellcome Trust 205050Wellcome Trust RG86459
6 · The paper itself

Abstract

Dopaminergic neurons (DANs) drive learning across the animal kingdom, but the upstream circuits that regulate their activity and thereby learning remain poorly understood. We provide a synaptic-resolution connectome of the circuitry upstream of all DANs in a learning center, the mushroom body of Drosophila larva. We discover afferent sensory pathways and a large population of neurons that provide feedback from mushroom body output neurons and link distinct memory systems (aversive and appetitive). We combine this with functional studies of DANs and their presynaptic partners and with comprehensive circuit modeling. We find that DANs compare convergent feedback from aversive and appetitive systems, which enables the computation of integrated predictions that may improve future learning. Computational modeling reveals that the discovered feedback motifs increase model flexibility and performance on learning tasks. Our study provides the most detailed view to date of biological circuit motifs that support associative learning.

Indexed as

AnimalsDopaminergic NeuronsDrosophilaLarvaLearningMemoryModels, NeurologicalMushroom BodiesNeural Pathways

Identifiers

PMID32203499
PMCPMC7145459
OpenAlexW3012591046

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.