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Navigation, the ability to reach a desired goal location, is a complex behavior that occurs in complex environments. It requires the animal to know its own location in the environment, but also be attentive to other things in the environment that could influence its route – such as the navigational goal or other alternative goals, landmarks and obstacles along the route, as well as other conspecifics it may encounter. Despite the complexity and richness of real-world navigation, most studies of the neural basis of navigation were done in small empty setups. During my PhD, I focused on how the hippocampus represents navigation in more naturalistic and dynamic scenarios. In my first PhD project I found a vectorial representation of spatial goals in the bat hippocampus, which could support goal-directed navigation. In my second PhD project I found that during dynamic ‘cross-overs’ between two bats, hippocampal neurons switched from representing the bat’s self-position to a conjunctive representation of position × distance to the other bat – an extremely rapid neuronal switch. Taken together, in my PhD I studied the neural basis of dynamic natural navigation by adding more naturalistic aspects of navigation – such as navigation to goals and collision-avoidance behavior – and this allowed me to reveal interesting and surprising new representations in the hippocampus.