Replay of recently experienced trajectories during a decision task is coupled with more effective adaptation to change, whereas replay during rest is associated with limited decision making flexibility.
fMRI evidence for off-task replay predicts subsequent replanning behavior in humans, suggesting that learning from simulated experience during replay helps update past policies in reinforcement learning.
Serially remembered items are successively reactivated during memory maintenance in the human brain, and replay profiles, temporally compressed and reverse in order, are associated with recency effect in behavioral performance.
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.
Poly-PR and poly-GR interact with importin β, disrupt importin-cargo loading, and inhibit nuclear import in permeabilized cells in a manner that can be rescued by RNA.
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.