Computational modeling of the brain’s navigation system reveals that place cells can drive the formation of hexagonal patterns experimentally observed in grid cells activity.
Mathematical modeling suggests that grid cells in the rodent brain use fundamental principles of number theory to maximize the efficiency of spatial mapping, enabling animals to accurately encode their location with as few neurons as possible.
Grid-cell maps can be aligned to both local and remote reference frames, suggesting that they provide a metric for space beyond the navigationally accessible boundaries of the local environment.
A novel experimental method and analysis is conceived, based on perturbation and sparse recording, to elucidate the circuit structure and mechanisms underlying the responses of grid cells.
Functional magnetic resonance imaging performed while people imagined directions from stationary viewpoints supports theories suggesting that spatially tuned cells such as grid cells underlie mental simulation for future thinking.
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 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.
Grid cells lose their hexagonality during hippocampal inactivation, but maintain temporal and spatial synchrony between pairs of cells, implying that hippocampus does not determine phase relations between grid cells.
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.
