p583fig16.09 The GRIDSmap model used algorithmically defined stripe cells to process realistic rat trajectories.  The stripe cell outputs then formed inputs to the adaptive filter of a self-organizing map which learned hexagonal grid cell receptive fields.<BR>||  GRIDSmap.  Self-organizing map receives inputs from stripe cells and learns to respond to most frequent co-activation patterns. Stripe cells combine speed and head direction to create a periodic 1D position code.  Virtual rat navigated using live rat trajectories from Moser Lab.  Speed and head direction drives stripe cells.