Research has found connections between structural and functional neuroscience findings using spatially embedded recurrent neural networks. This has led to the development of ai systems that, when given physical constraints, can self-organize to develop features similar to those of complex brains. The implications of this research may extend to areas such as brain-machine synchronisation and cognitive tasks.