Faced with images that break the expected pattern, like a 'do not enter' sign where a 'stop' sign is expected, how does the brain react and learn compared to being shown images which match what was predicted? That was the question a team set out to answer. A long-standing theory suggests the brain learns a predictive model of the world and its internal predictions are updated when incoming sensory data proves them wrong.