Intercepting a moving object requires prediction of its future location. This complex task has been solved by dragonflies, who intercept their prey in midair with a 95% success rate. In this study, we show that a group of 16 neurons, called target-selective descending neurons (TSDNs), code a population vector that reflects the direction of the target with high accuracy and reliability across 360°. The TSDN spatial (receptive field) and temporal (latency) properties matched the area of the retina where the prey is focused and the reaction time, respectively, during predatory flights. The directional tuning curves and morphological traits (3D tracings) for each TSDN type were consistent among animals, but spike rates were not. Our results emphasize that a successful neural circuit for target tracking and interception can be achieved with few neurons and that in dragonflies this information is relayed from the brain to the wing motor centers in population vector form.vision | invertebrate | predatory behavior | electrophysiology | confocal microscopy D ragonflies continuously track their prey (1) during short predatory flights (âŒ200-500 ms) (1-3) by keeping the image of the moving prey on the specialized dorsal area of their eyes (1). If the prey image drifts on the retina, compensatory motor signals sent to the wings adjust the dragonfly body position to bring the prey image back. This process allows a dragonfly to visually track the prey by locking on to it, a process also named fixation (4).The ability to fixate on a moving target is a common feature among most predatory animals. Once a pursuer's eyes are fixated on the prey, it can aim toward the current or the future prey location. The first choice results in classical pursuit, whereas the second one yields interception. Dragonflies are thought to intercept their prey by keeping a constant bearing to their target. This strategy is also used by other species, e.g., a human catching a ball (5, 6), but the nervous system of dragonflies presents a favorable substrate for studying the neural basis of this behavior. This ancient prey-targeting system is tractable and tuned for extreme performance, as evidenced by the accuracy (around 95%) (1, 2) and speed at which it functions.We aimed to understand the information sent to the wings when a target moves across the dragonfly visual field. In particular, we have tested whether the population vector algorithm can successfully decode the directional component of the descending information. The population vector is the weighted sum activity of an ensemble of neurons with directional tuning. It was first shown to predict the direction of an upcoming arm movement in monkeys (7,8). Since then, the population vector algorithm has described successfully the directional responses to mechanical stimulation in several invertebrate species (9-12). The dragonfly predatory flight provides a challenge for a reliable vector code. Not only are these animals highly maneuverable, with independent control of the fore and hind wings (13) a...