Synaptic circuits and their variations within different columns in the visual system of Drosophila
Open accessAbstract
Significance: Circuit diagrams of brains are generally reported only as absolute or consensus networks; these diagrams fail to identify the accuracy of connections, however, for which multiple circuits of the same neurons must be documented. For this reason, the modular composition of the Drosophila visual system, with many identified neuron classes, is ideal. Using EM, we identified synaptic connections in the fly’s second visual relay neuropil, or medulla, in the 20 neuron classes in a so-called “core connectome,” those neurons present in seven neighboring columns. These connections identify circuits for motion. Their error rates for wiring reveal that <1% of contacts overall are not part of a consensus circuit but incorporate errors of either omission or commission. Autapses are occasionally seen.
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The FIB-25 dataset volume comprises seven medulla columns and the FIB-19 dataset volume comprises the entire optic lobe and detailed connectivity information for inputs to both the T4 and T5 pathways.
“The FIB-25 dataset volume comprises seven medulla columns and the FIB-19 dataset volume comprises the entire optic lobe and, in particular, detailed connectivity information for inputs to both the T4 and T5 pathways2–4.”
From Connectome-constrained networks predict neural activity across the fly visual system (2024) · cites this paper as [2]
The Results describe an EM image stack of seven medulla columns, and Data availability identifies the paper’s dataset as FIB-25 (page numbers unavailable). Our copy does not describe a FIB-19 dataset, an entire-optic-lobe volume, or detailed inputs to both T4 and T5 pathways. (LLM, conf=0.90)
Experimental — accuracy not yet measuredDm9 neurons have ~20-fold more autapses than usual.
“Dm9 neurons have ∼ 20-fold more autapses (self-connections) than usual,178”
From Neurotransmitter classification from electron microscopy images at synaptic sites in Drosophila melanogaster (2024) · cites this paper as [178]
The computational model of the fly visual system is consistent with available connectome data.
“We built a computational model of the fly visual system that is consistent with available connectome data1–5, has biophysically plausible neural dynamics, and can be computationally trained to solve an ethologically relevant behavioural task, namely the estimation of optic flow.”
From Connectome-constrained networks predict neural activity across the fly visual system (2024) · cites this paper as [2]
Two previous connectomics efforts are available as well.
“Two previous connectomics efforts are available as well (a seven-column optic lobe reconstruction [Takemura et al., 2015] and the alpha lobe of the mushroom body [Takemura et al., 2017]).”
From A connectome and analysis of the adult Drosophila central brain (2020) · cites this paper as Takemura et al., 2015
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- Authors
- Takemura, S.-Y., Xu, C. S., Lu, Z., Rivlin, P. K., Parag, T., Olbris, D. J., Plaza, S., Zhao, T., Katz, W. T., Umayam, L., Weaver, C., Hess, H. F., Horne, J. A., Nunez-Iglesias, J., Aniceto, R., Chang, L.-A., Lauchie, S., Nasca, A., Ogundeyi, O., Sigmund, C., Takemura, S., Tran, J., Langille, C., Le Lacheur, K., McLin, S., Shinomiya, A., Chklovskii, D. B., Meinertzhagen, I. A., & Scheffer, L. K.
- Affiliations
- Howard Hughes Medical Institute (US)
- Dalhousie University (CA)
- The University of Melbourne (AU)
- Department of Psychology and Neuroscience, Dalhousie University, Halifax, NS, Canada B3H 4R2;
- Simons Foundation (US)
- Corresponding author
- Scheffer, Louis K.
- ORCID
- Takemura, Shin-ya
- Xu, C. Shan
- Lu, Zhiyuan
- Rivlin, Patricia K.
- Olbris, Donald J.
- Plaza, Stephen
- Zhao, Ting
- Katz, William T.
- Umayam, Lowell
- Hess, Harald F.
- Horne, Jane Anne
- Nunez-Iglesias, Juan
- Aniceto, Roxanne
- Lauchie, Shirley
- Ogundeyi, Omotara
- Takemura, Satoko
- Tran, Julie
- McLin, Sari
- Shinomiya, Aya
- Chklovskii, Dmitri B.
- Meinertzhagen, Ian A.
- Scheffer, Louis K.
- Venue
- Proceedings of the National Academy of Sciences
- Publisher
- National Academy of Sciences
- Published
- 2015-10-19
- Volume
- 112
- Issue
- 44
- Pages
- 13711-13716
- ISSN
- 0027-8424 (ISSN-L)
- 1091-6490
- PMC
- PMC4640747
- OpenAlex
- W2232480453
- Cited by
- 264
- References
- 56
- Citations by year
- 2026: 11 · 2025: 14 · 2024: 28 · 2023: 29 · 2022: 26 · 2021: 24 · 2020: 39 · 2019: 25 · 2018: 28 · 2017: 28 · 2016: 9 · 2015: 1 · 2014: 1
- FWCI
- 10.26
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- Proceedings of the National Academy of Sciences (publishedVersion)
- Europe PMC (PubMed Central) (publishedVersion)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Howard Hughes Medical Institute
- Dalhousie University
- Topics
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neurobiology and Insect Physiology Research
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Visual perception and processing mechanisms
- Keywords
- synaptic circuits, visual system, connectomics, autapses, synapse number, neuronal connectivity
- MeSH terms
- Animals, Drosophila melanogaster, Synapses, Vision, Ocular
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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