Cited by 281Neurobiology and Insect Physiology ResearchMemory and Neural MechanismsNeural dynamics and brain function

Do the right thing: neural network mechanisms of memory formation, expression and update in Drosophila

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Cognigni, Paola, Felsenberg, Johannes, Waddell, Scott·2018·Current Opinion in Neurobiology

Abstract

When animals learn, plasticity in brain networks that respond to specific cues results in a change in the behavior that these cues elicit. Individual network components in the mushroom bodies of the fruit fly Drosophila melanogaster represent cues, learning signals and behavioral outcomes of learned experience. Recent findings have highlighted the importance of dopamine-driven plasticity and activity in feedback and feedforward connections, between various elements of the mushroom body neural network. These computational motifs have been shown to be crucial for long term olfactory memory consolidation, integration of internal states, re-evaluation and updating of learned information. The often recurrent circuit anatomy and a prolonged requirement for activity in parts of these underlying networks, suggest that self-sustained and precisely timed activity is a fundamental feature of network computations in the insect brain. Together these processes allow flies to continuously adjust the content of their learned knowledge and direct their behavior in a way that best represents learned expectations and serves their most pressing current needs.

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Crossref · 10.1016/j.conb.2017.12.002

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  • The authors moved the simulation framework from PyBullet to MuJoCo, a more widely used physics simulator.

    “Second, we moved the simulation framework from PyBullet to MuJoCo 45 , a more widely used physics simulator.”

    From NeuroMechFly v2: simulating embodied sensorimotor control in adult Drosophila (2024) · cites this paper as [45]

    The Introduction and Conclusions discuss neural mechanisms of memory in Drosophila, not physics simulation. Searches for PyBullet, MuJoCo, and a change of simulation framework found no relevant passage in our copy. The source therefore does not verify the cited statement. (LLM, conf=0.78)

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  • FlyGym is implemented based on MuJoCo and the dm control library and complies with the Gymnasium API for MDP.

    “FlyGym is implemented based on MuJoCo 45 and the dm control 99 library and complies with the Gymnasium API for MDP 12 .”

    From NeuroMechFly v2: simulating embodied sensorimotor control in adult Drosophila (2024) · cites this paper as [45]

    The paper’s sections on mushroom-body cell types and internal-state control discuss neural circuits and fly behavior, not FlyGym software. Searches for FlyGym, MuJoCo, dm control, Gymnasium, and MDP found no passage addressing the claimed implementation or API compliance; page numbers were unavailable in our copy. (LLM, conf=0.77)

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References 60 · Cited by 281

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Authors
Cognigni, P., Felsenberg, J., & Waddell, S.
Affiliations
University of Oxford (GB)
Corresponding author
Waddell, Scott
Venue
Current Opinion in Neurobiology
Publisher
Elsevier BV
Published
2018-04
Volume
49
Pages
51-58
ISSN
0959-4388 (ISSN-L)
OpenAlex
W2774719659
Cited by
281
References
60
Citations by year
2026: 19 · 2025: 28 · 2024: 41 · 2023: 32 · 2022: 34 · 2021: 36 · 2020: 36 · 2019: 33 · 2018: 22
FWCI
3.07
Type
journal article
Language
en
Open access
Locations
  • Current Opinion in Neurobiology (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc-nd)
  • PubMed (publishedVersion)
Funders
  • Deutsche Forschungsgemeinschaft (FE 1563/1-1)
  • Gatsby Charitable Foundation and Bettencourt–Schueller Foundation
Topics
  • Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurobiology and Insect Physiology Research
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
  • Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
Keywords
Drosophila melanogaster, mushroom body, olfactory memory, memory consolidation, memory updating, recurrent neural circuits, memory expression, neural network computation
MeSH terms
Animals, Brain, Computer Simulation, Drosophila, Learning, Models, Neurological, Neural Pathways, Neurons

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