Connectome-Based Modelling Reveals Orientation Maps in the Drosophila Optic Lobe

๐Ÿ“… 2026-09-01
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๐Ÿ“ Abstract
The ability to extract oriented edges from visual input is a core computation across animal vision systems. Orientation maps, long associated with the layered architecture of the mammalian visual cortex, systematically organise neurons by their preferred edge orientation. Despite lacking cortical structures, the Drosophila melanogaster brain contains feature-selective neurons and exhibits complex visual detection capacity, raising the question of whether map-like vision representations can emerge without cortical infrastructure. We integrate a complete fruit fly brain connectome with biologically grounded spiking neuron models to simulate neuroprocessing in the fly visual system. By driving the network with oriented stimuli and analysing downstream responses, we show that coherent orientation maps can emerge from purely connectome-constrained dynamics. These results suggest that species of independent origin could evolve similar visual structures.
Problem

Research questions and friction points this paper is trying to address.

orientation maps
Drosophila melanogaster
connectome
visual system
Innovation

Methods, ideas, or system contributions that make the work stand out.

connectome-based modelling
orientation maps
spiking neuron models
Drosophila visual system
J
Jia-Nuo Liew
S
Shenghan Lin
B
Bowen Chen
W
Wei Zhang
Xiaowei Zhu
Xiaowei Zhu
Ant Research
Graph DatabaseBig Data SystemsPrivacy-Preserving ComputationAI Infra
W
Wei Zhang
X
Xiaolin Hu