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Related Experiment Video

Updated: Mar 1, 2026

Longitudinal Two-Photon Imaging of Dorsal Hippocampal CA1 in Live Mice

Longitudinal Two-Photon Imaging of Dorsal Hippocampal CA1 in Live Mice

Published on: June 19, 2019

Internally generated hippocampal sequences as a vantage point to probe future-oriented cognition.

Giovanni Pezzulo¹, Caleb Kemere², Matthijs A A van der Meer³

¹Institute of Cognitive Sciences and Technologies, National Research Council, Rome, Italy.

Annals of the New York Academy of Sciences

|May 27, 2017

Summary

Internally generated sequences (IGSs) in the rodent hippocampus, during theta and sharp wave-ripple states, reflect an inferential process. This unified view explains distinct cognitive functions based on network states and action-perception coupling.

Keywords:

future-oriented cognition generative model internally generated hippocampal sequences prediction prospection

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Last Updated: Mar 1, 2026

Longitudinal Two-Photon Imaging of Dorsal Hippocampal CA1 in Live Mice

Longitudinal Two-Photon Imaging of Dorsal Hippocampal CA1 in Live Mice

Published on: June 19, 2019

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

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Published on: August 2, 2017

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Craniotomy Procedure for Visualizing Neuronal Activities in Hippocampus of Behaving Mice

Published on: July 24, 2021

Area of Science:

Neuroscience
Computational Neuroscience
Cognitive Science

Background:

Hippocampal information processing relies on internally generated sequences (IGSs).
Two distinct network states, theta and sharp wave-ripple (SWR), express these IGSs.
Current understanding of IGS functions is fragmented.

Purpose of the Study:

To propose a unitary view of internally generated sequences (IGSs) in the rodent hippocampus.
To explain the diverse functional roles of IGSs through a unified computational principle.
To link IGSs to distinct network states and cognitive functions.

Main Methods:

Theoretical modeling of hippocampal function.
Review and synthesis of rodent electrophysiology and behavioral studies.
Computational principles applied to explain theta and SWR sequences.

Main Results:

IGSs reflect an inferential process sampling a policy from a generative model.
Theta sequences support online functions (decisions, prediction, encoding) via action-perception coupling.
SWR sequences support offline functions (consolidation, simulation, imagination) when decoupled.

Conclusions:

A unified inferential framework explains IGSs in different hippocampal network states.
The framework elucidates how distinct dynamical modes yield varied cognitive functions.
This principle offers insights into future-oriented cognition in humans.