The hierarchy of entorhinal grid cell modules with constant scale ratios can self-organize through a new geometrically organized attractor mechanism.

The neural representation of position in the medial entorhinal cortex may be stabilized by synaptic connectivity across modules, which enforces coherent updates in their states.

When a familiar environment is reshaped, the grid cell spatial code is dynamically anchored to recently encountered boundaries and changes throughout exploration with the specific movement history of the navigator.

A mouse virtual reality system is presented which allows normal spatial behavior and place, grid and head-direction cell firing patterns in 2-D arenas, and is compatible with electrophysiology and multi-photon imaging.

An experimentally supported model of grid cells naturally enables them to participate in firing sequences that encode rapid trajectories in space.

A computational model for the formation of neural networks of grid cells in virtual bats suggests that the highly ordered networks presumed to support spatial navigation in two dimensions cannot be routinely established in three-dimensional space.

The relationship between grid cells and two types of neurons found in the medial entorhinal cortex has been clarified.

The use of Research Resource Identifiers (RRIDs) improves the proper use of cell lines in the biomedical literature.