ArticleNature communications2024
Heterogeneity of synaptic connectivity in the fly visual system.
Article in Nature communications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Article
- Imprecision in Vision: Lessons From Neural Circuits in the Fly.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026Review
- A heterogeneous population code at the first synapse of vision.Nature communications · 2026Article
- Disentangling how the brain is wired.Fly · 2025Article
- Article
- Neural pathways and computations that achieve stable contrast processing tuned to natural scenes.Nature communications · 2024Article
- Neuronal wiring diagram of an adult brain.Nature · 2024Article
- Wiring up for controlled flight.eLife · 2024Article
- Heterogeneity of synaptic connectivity in the fly visual system.Nature communications · 2024Article
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Authors and funding
11 authors.
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Abstract
Visual systems are homogeneous structures, where repeating columnar units retinotopically cover the visual field. Each of these columns contain many of the same neuron types that are distinguished by anatomic, genetic and - generally - by functional properties. However, there are exceptions to this rule. In the 800 columns of the Drosophila eye, there is an anatomically and genetically identifiable cell type with variable functional properties, Tm9. Since anatomical connectivity shapes functional neuronal properties, we identified the presynaptic inputs of several hundred Tm9s across both optic lobes using the full adult female fly brain (FAFB) electron microscopic dataset and FlyWire connectome. Our work shows that Tm9 has three major and many sparsely distributed inputs. This differs from the presynaptic connectivity of other Tm neurons, which have only one major, and more stereotypic inputs than Tm9. Genetic synapse labeling showed that the heterogeneous wiring exists across individuals. Together, our data argue that the visual system uses heterogeneous, distributed circuit properties to achieve robust visual processing.
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Registered trials
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