ArticleCurrent biology : CB2021
Flexible filtering by neural inputs supports motion computation across states and stimuli.
Article in Current biology : CB, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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18 citing papers in PubMed.
- Imprecision in Vision: Lessons From Neural Circuits in the Fly.BioEssays : news and reviews in molecular, cellular and developmental biology · 2026Review
- Drosophila DNp03 descending neurons serve as a hub within a flight saccade network.Current biology : CB · 2026Article
- Prediction of neural activity in connectome-constrained recurrent networks.Nature neuroscience · 2025Article
- Differential temporal filtering in the fly optic lobe.Journal of computational neuroscience · 2025Article
- A recurrent neural circuit in Drosophila temporally sharpens visual inputs.Current biology : CB · 2025Article
- Adaptation to visual sparsity enhances responses to isolated stimuli.Current biology : CB · 2024Article
- Prediction of neural activity in connectome-constrained recurrent networks.bioRxiv : the preprint server for biology · 2024Article
- A recurrent neural circuit inbioRxiv : the preprint server for biology · 2024Article
- Heterogeneity of synaptic connectivity in the fly visual system.Nature communications · 2024Article
- Optic flow based spatial vision in insects.Journal of comparative physiology. A, Neuroethology, sensory, neural, and behavioral physiology · 2023Review
- Article
- Voltage to Calcium Transformation Enhances Direction Selectivity inThe Journal of neuroscience : the official journal of the Society for Neuroscience · 2023Article
- Nonspiking Interneurons in theeNeuro · 2023Article
- Article
- Contrast independent biologically inspired translational optic flow estimation.Biological cybernetics · 2022Article
- Visual and motor signatures of locomotion dynamically shape a population code for feature detection ineLife · 2022Article
- Excitatory and inhibitory neural dynamics jointly tune motion detection.Current biology : CB · 2022Article
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Abstract
Sensory systems flexibly adapt their processing properties across a wide range of environmental and behavioral conditions. Such variable processing complicates attempts to extract a mechanistic understanding of sensory computations. This is evident in the highly constrained, canonical Drosophila motion detection circuit, where the core computation underlying direction selectivity is still debated despite extensive studies. Here we measured the filtering properties of neural inputs to the OFF motion-detecting T5 cell in Drosophila. We report state- and stimulus-dependent changes in the shape of these signals, which become more biphasic under specific conditions. Summing these inputs within the framework of a connectomic-constrained model of the circuit demonstrates that these shapes are sufficient to explain T5 responses to various motion stimuli. Thus, our stimulus- and state-dependent measurements reconcile motion computation with the anatomy of the circuit. These findings provide a clear example of how a basic circuit supports flexible sensory computation.
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