The learning rate for novel spatial environments in model networks of place cells is determined by the product of the window for plasticity and the auto-correlation of place-cell activity.

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.

In anticipation of a reward, hippocampal place cells simulate desired journeys through areas that have been seen, but not explored.

Place cells in the rat hippocampus encode positions along well-learned routes as opposed to intended destinations.

What will happen where and when could be predicted by the sequential reactivation of place cells that occurs while an animal pauses, suggesting that the replay is linked to mental time travel.

A large variety of spatial representations implied in rodent navigation could arise robustly and rapidly from inputs with a weak spatial structure, by an interaction of excitatory and inhibitory synaptic plasticity.

A very large number of place-field maps can be robustly learned by association of external cues with the grid-driven response, however plasticity in the grid-cell inputs renders the place-cell responses volatile.

Place cells associated with track-running are activated in rats staying in a nearby box while another rat running on the track, suggesting that social observation facilitates spatial memory representations.

Human cells center the position of the metaphase plate before anaphase onset to ensure the formation of equal-sized daughter cells.

SABRE, which is present in a wide range of eukaryotes, localizes to ER subdomains in plants, impacting cell expansion and callose deposition during cell plate maturation.