A study of artificial recurrent neural networks suggests that a compact representation can map location, while higher-rank connectivity is associated with precise performance when movement speeds change.
The study reports an intraspinal feedback circuit associated with zebrafish swimming synchronization and cohesive schooling, while simulations and a robot reproduced the pattern when feedback was enabled.