AI RESEARCH
Whole-Brain Connectomic Graph Model Enables Whole-Body Locomotion Control in Fruit Fly
arXiv CS.LG
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ArXi:2602.17997v2 Announce Type: replace Whole-brain biological neural networks naturally the learning and control of whole-body movements. However, the use of brain connectomes as neural network controllers in embodied reinforcement learning remains unexplored. We investigate using the exact neural architecture of an adult fruit fly's brain for the control of its body movement. We develop Fly-connectomic Graph Model (FlyGM), whose static structure is identical to the complete connectome of an adult Drosophila for whole-body locomotion control.