p580fig16.05 Macrocircuit of the GridPlaceMap model, which can learn both 2D grid cells and place cells in response to realistic trajectories of navigating rats using a hierarchy of SOMs with identical equations.<BR>||  GridPlaceMap model: rate-based and spiking (Pilly, Grossberg 2012).  Pre-wired 1D stripe cells, learns both 2D frid and place cells!  Same laws for both; both select most frequent and energetic inputs.  Place cells emerge gradually in response to developing grid cells.  [place-> grid-> stripe] cells-> path integration-> vestibular signals