Topic: gain recalibration

Path integration is an internal computation of position by integrating velocities over time. In the absence of external landmarks, path integration accumulates error, causing the internal representation of position to drift relative to the external world [1,2]. In addition to the well-established role of landmarks in correcting this error, recent experiments identified a new role of landmarks: recalibrating the path-integration gain, a factor mapping the animal’s movement through space to an updating of position in its internal representation [3]. Here, we set out to understand the mechanisms