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Record W4410384382 · doi:10.1016/j.cris.2025.100113

The Drosophila adult brain: short overview of structure, function, and resources Graphical Review Paper

2025· review· en· W4410384382 on OpenAlexafffund
J. Wesley Robinson, Abigail T. Bechard, Ariel K. Frame, Micah R. Evans, Angeline‐Claudia Atheby, Shaunik Sharma, Hakeem O. Lawal, Anne F. Simon

Bibliographic record

VenueCurrent Research in Insect Science · 2025
Typereview
Languageen
FieldNeuroscience
TopicNeurobiology and Insect Physiology Research
Canadian institutionsWestern University
FundersNational Human Genome Research InstituteNatural Sciences and Engineering Research Council of CanadaTsinghua UniversityNational Science FoundationNational Institutes of HealthNational Institute of GeneticsHarvard Medical School
KeywordsDrosophila (subgenus)Function (biology)NeuroscienceBrain functionComputer scienceComputational biologyCognitive scienceBiologyEvolutionary biologyPsychologyGenetics

Abstract

fetched live from OpenAlex

This short review is targeted at researchers new to the Drosophila model (thereafter: a Drosophilist) in the field of neuroscience. We aim to provide an introductory overview of our current understanding of the adult Drosophila melanogaster (thereafter: Drosophila) brain, its structures, circuitry, and associated behaviours, as well as links to additional resources for more in-depth information. Throughout this overview, we mostly provide references to seminal review articles instead of the original research articles that are thoroughly provided within each review. We do not claim to present an exhaustive exploration of this rapidly expanding field, or of its history. Rather, the field currently lacks a short and simple up-to-date guide to the adult Drosophila brain. Finally, even though connectomes for the full larval brain and the adult ventral nerve cord have recently been made available, we are restricting our focus to the adult brain.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.030
Threshold uncertainty score0.101

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0040.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0300.015

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.232
GPT teacher head0.477
Teacher spread0.245 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations6
Published2025
Admission routes2
Has abstractyes

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