How brain networks jump between stable states in chaotic patterns

Brain activity doesn't hold steady—it cycles through distinct patterns like a flickering light. Using networks of excitatory and inhibitory neurons with on-off thresholds, researchers found that chaotic oscillations produce sequential jumps between metastable states in an order predicted by network wiring. This could explain how brains balance focused activity (integration) with flexible switching between tasks (segregation).