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Related Experiment Video

Updated: Aug 22, 2025

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice

Optogenetic Entrainment of Hippocampal Theta Oscillations in Behaving Mice

Published on: June 29, 2018

Sampling motion trajectories during hippocampal theta sequences.

Balazs B Ujfalussy^1,2, Gergő Orbán³

¹Laboratory of Biological Computation, Institute of Experimental Medicine, Budapest, Hungary.

|November 8, 2022

Summary

This summary is machine-generated.

The hippocampus represents uncertainty during planning not by encoding probability distributions, but by sequentially sampling potential trajectories in theta sequences, aiding efficient navigation.

Keywords:

navigation neural coding neuroscience planning probabilistic representations rat uncertainty

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Last Updated: Aug 22, 2025

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Published on: June 29, 2018

Tuning in the Hippocampal Theta Band In Vitro: Methodologies for Recording from the Isolated Rodent Septohippocampal Circuit

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Area of Science:

Neuroscience
Cognitive Science
Computational Neuroscience

Background:

Efficient planning necessitates representing uncertainty in inferences and action consequences.
Uncertainty representation is known in sensory systems but its role in complex cognition like planning and navigation is unclear.
Probabilistic neural representations are hypothesized to support complex cognitive computations.

Purpose of the Study:

To investigate how the hippocampus represents uncertainty during complex cognitive tasks.
To determine if hippocampal neural representations encode probability distributions for uncertainty.
To explore alternative mechanisms of uncertainty representation in planning and navigation.

Main Methods:

Utilized hippocampal theta sequences during an open-field navigation task in rats.
Analyzed population neural responses to capture signatures of uncertainty representation.
Investigated the relationship between neural activity and gradually changing uncertainty along motion trajectories.

Main Results:

Found no evidence for encoding parameters of probability distributions in momentary population activity.
Demonstrated that uncertainty is encoded sequentially through random sampling of trajectories in subsequent theta cycles.
Showcased efficient and random sampling from the distribution of potential trajectories.

Conclusions:

The hippocampus does not encode uncertainty by representing probability distribution parameters directly in neural activity.
Uncertainty representation in planning is achieved through sequential sampling of potential trajectories within theta sequences.
The hippocampus is crucial for optimal planning by effectively representing and managing uncertainty.