Drosophila visual system wiring supports efficient multitask vision
Structure alone supports efficient visual computation in the Drosophila visual system
Machine Learning
Summary
Figuring out how the wiring of brain cells controls vision is hard. The authors created a detailed model of the fruit fly's eye and brain connections to test how well it can see colors, shapes, and numbers. They found the exact wiring and eye shape are crucial for efficient and accurate visual tasks. When they scrambled the connections but kept wiring cost constant, performance dropped. This means the fly’s natural wiring is specially arranged to do vision well without wasting resources.
What this means in practice
- •For neuromorphic engineers: Design energy-efficient visual computing hardware inspired by the efficient wiring principles found in Drosophila’s visual system.
- •For robotics vision developers: Develop vision algorithms for robots that mimic the fly’s wiring to perform color, shape, and numerical recognition with limited computational cost.
Authors
Eudald Correig-Fraga, Roger Guimerà, Marta Sales-Pardo
Abstract
Understanding the extent to which measured synaptic wiring determines computation remains a central challenge. Here, we couple the proofread adult Drosophila melanogaster connectome to an anatomically faithful model of its eye. Visual information is inputted in the eye model, then passed to the connectome, and finally read from a Kenyon-cell-centered linear decoder. This creates a connectome-only model in which the anatomical graph and eye geometry are fixed and only scalar synaptic gains and neuronal thresholds may be learned. The model supports multitask vision, including color discrimination, shape classification, and numerical discrimination that follows a ratio-dependent scaling characteristic of approximate number perception. To test whether precise connectivity is consequential under wiring economy, we compare the biological graph to randomized ensembles that increasingly preserve biological synaptic constraints. At matched wiring cost, the biological network consistently yields higher accuracy, whereas less constrained rewiring surpasses it at the cost of inflated wiring. These findings indicate that the measured connectivity and eye geometry jointly set efficient operating points for visual computation.