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.

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.

The Hippo signaling restricts the number of SHF cardiomyocytes in the venous pole by negatively regulating Bmp-Smad signaling in the cells of lateral plate mesoderm.

The vertebrate neural plate border is comprised of precursors that coexpress multiple lineage markers and small changes in their levels can bias border cell fate.