Sampling motion trajectories during hippocampal theta sequences.

ABSTRACT: 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. Here, we capitalized on gradually changing uncertainty along planned motion trajectories during hippocampal theta sequences to capture signatures of uncertainty representation in population responses. In contrast with prominent theories, we found no evidence of encoding parameters of probability distributions in the momentary population activity recorded in an op

SUBMITTER: Ujfalussy BB 

PROVIDER: S-EPMC9643003 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature