Topic: probabilistic neural representations

Efficient planning in complex environments requires that uncertainty associated with current inferences and possible consequences of forthcoming actions is represented. Representation of uncertainty has been established in sensory systems during simple perceptual decision making tasks but it remains unclear if complex cognitive computations such as planning and navigation are also supported by probabilistic neural representations. The statistical structure of the sequential neural activity during theta oscillation in the hippocampus is consistent with repeatedly performing inference of current