Whole-Brain Connectomic Graph Model Enables Whole-Body Locomotion Control in Fruit Fly
Researchers have developed a novel Fly-connectomic Graph Model that utilizes the complete brain connectivity of fruit flies to control simulated locomotion. This biologically inspired approach, applied through deep reinforcement learning, demonstrated stable performance and improved sample efficiency compared to existing graph and non-graph methods. The model offers a pathway for designing effective control policies by translating whole-brain wiring principles into actionable architectural priors, enhancing interpretability and advancing the development of nature-aligned intelligent systems. AI