Fly Brain HubFlyGM: Whole-Brain Graph Model for Whole-Body Locomotion
Zehao Jin / Yaoye Zhu / Chen Zhang / Yanan Sui
A preprint using a whole-brain connectomic graph as the structure of a learned controller for a biomechanical fly model. Deep reinforcement learning connects the graph to whole-body locomotion tasks, with comparisons reported by the authors. The June 2026 revision concerns engineered control in a simulated body, not a direct replay of measured biological neural activity.
Sources checked
Every fact above was read from these pages on the date the entry was added.
- arxiv.org https://arxiv.org/abs/2602.17997