Task-structured modularity emerges in artificial networks and aligns with brain architecture
28 September 2026 at 00:00
Nature Machine Intelligence, Published online: 28 September 2026; doi:10.1038/s42256-026-01306-9
Wu et al. show that neural networks learning multiple tasks organize into specialized modules, particularly under capacity constraints. Incremental multitask learning strengthens this modularity and produces architectures resembling brain networks.