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Social state alters vision using three circuit mechanisms in Drosophila. | LitMetric

AI Article Synopsis

  • Animals prioritize visual features based on their needs, but less is known about how they adjust their attention as goals change, particularly during social interactions.
  • This study focuses on how female Drosophila (fruit flies) modify their visual processing when aggressive, identifying three specific neural circuit motifs that help these flies respond to visual cues related to aggression.
  • The research finds that similar neural mechanisms are used in male Drosophila during courtship, highlighting a shared circuitry underlying different social behaviors in these flies.

Article Abstract

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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Source
http://dx.doi.org/10.1038/s41586-024-08255-6DOI Listing

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