Recognizing motion requires an enormous amount of computing power from the brain. A new study from Alexander Borst’s department at the Max Planck Institute for Biological Intelligence shows how the fly brain masters this task: By performing a neuronal computation on three network levels, it distributes the workload over several steps. This is the first time that researchers have deciphered a neuronal network in which one cell type performs the same computation at all network levels. This approach helps fruit flies to reliably recognize different motion patterns – the prerequisite for staying on track.