Imagine hearing a familiar sound and expecting something to happen. Before the event arrives, the brain can predict what it will be, when it will occur and how likely it is. Yet computational models often treat these questions separately or use learning methods that are difficult to reconcile with biological circuits. A new study proposes an alternative in which one population of spiking neurons learns all three together.