Topic: egocentric vector representations

Navigation is a complex process that involves several interacting brain regions and has been the subject of intense research for several decades. In general, spatial navigation involves strategies using one of two reference frames: egocentric and allocentric. However, it remains unclear why a particular strategy is chosen over another, and how the neural spatial representations should be related to the chosen strategy. Here, we use a deep reinforcement learning model to investigate whether a navigation strategy could arise spontaneously during spatial learning without imposing a bias onto the