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    People
    Aaron Allen
    Visiting Postdoctoral Associate
    People
    Adriane Otopalik
    Group Leader
    People
    Aisha Hamid
    Postdoctoral Scientist 00
    People
    Chelo Perez Sanchez
    Postdoctoral Scientist 00
    People
    Emilia Missing
    Lab Administration Coordinator
    People
    Hanan Fathima Noushad
    Visiting Student Researcher in Residence
    People
    Olivia McGinnis
    Visiting Student Researcher
    Publications
    11/20/24 | Social state gates vision using three circuit mechanisms in Drosophila
    Catherine E. Schretter , Tom Hindmarsh Sten , Nathan Klapoetke , Mei Shao , Aljoscha Nern , Marisa Dreher , Daniel Bushey , Alice A. Robie , Adam L. Taylor , Kristin M. Branson , Adriane Otopalik , Vanessa Ruta , Gerald M. Rubin
    Nature. 2024 Nov 20:. doi: 10.1038/s41586-024-08255-6

    Animals are often bombarded with visual information and must prioritize specific visual features based on their current needs. The neuronal circuits that detect and relay visual features have been well studied. Much less is known about how an animal adjusts its visual attention as its goals or environmental conditions change. During social behaviours, flies need to focus on nearby flies. Here we study how the flow of visual information is altered when female Drosophila enter an aggressive state. From the connectome, we identify three state-dependent circuit motifs poised to modify the response of an aggressive female to fly-sized visual objects: convergence of excitatory inputs from neurons conveying select visual features and internal state; dendritic disinhibition of select visual feature detectors; and a switch that toggles between two visual feature detectors. Using cell-type-specific genetic tools, together with behavioural and neurophysiological analyses, we show that each of these circuit motifs is used during female aggression. We reveal that features of this same switch operate in male Drosophila during courtship pursuit, suggesting that disparate social behaviours may share circuit mechanisms. Our study provides a compelling example of using the connectome to infer circuit mechanisms that underlie dynamic processing of sensory signals.

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