Visual and motor signatures of locomotion dynamically shape a population code for feature detection in Drosophila.

ABSTRACT: Natural vision is dynamic: as an animal moves, its visual input changes dramatically. How can the visual system reliably extract local features from an input dominated by self-generated signals? In Drosophila, diverse local visual features are represented by a group of projection neurons with distinct tuning properties. Here, we describe a connectome-based volumetric imaging strategy to measure visually evoked neural activity across this population. We show that local visual features are jointly represented across the population, and a shared gain factor improves trial-to-trial coding fidelity. A subset of these neurons, tuned to small objects, is modulated by two independent signals associated with self-movement, a motor-related signal, and a visual motion signal associated with ro

SUBMITTER: Turner MH 

PROVIDER: S-EPMC9651947 | biostudies-literature | 2022 Oct

REPOSITORIES: biostudies-literature