Document detail
ID

oai:pubmedcentral.nih.gov:1003...

Topic
Research Articles
Author
Ormond, Jake Serka, Simon A. Johansen, Joshua P.
Langue
en
Editor

Society for Neuroscience

Category

The Journal of Neuroscience

Year

2023

listing date

3/29/2023

Keywords
maze change changes events spatial cells
Metrics

Abstract

Study of the hippocampal place cell system has greatly enhanced our understanding of memory encoding for distinct places, but how episodic memories for distinct experiences occurring within familiar environments are encoded is less clear.

We developed a spatial decision-making task in which male rats learned to navigate a multiarm maze to a goal location for food reward while avoiding maze arms in which aversive stimuli were delivered.

Task learning induced partial remapping in CA1 place cells, allowing us to identify both remapping and stable cell populations.

Remapping cells were recruited into sharp-wave ripples and associated replay events to a greater extent than stable cells, despite having similar firing rates during navigation of the maze.

Our results suggest that recruitment into replay events may be a mechanism to incorporate new contextual information into a previously formed and stabilized spatial representation.

SIGNIFICANCE STATEMENT Hippocampal place cells provide a map of space that animals use to navigate.

This map can change to reflect changes in the physical properties of the environment in which the animal finds itself, and also in response to nonphysical contextual changes, such as changes in the valence of specific locations within that environment.

We show here that cells which change their spatial tuning after a change in context are preferentially recruited into sharp-wave ripple-associated replay events compared with stable nonremapping cells.

Thus, our data lend strong support to the hypothesis that replay is a mechanism for the storage of new spatial maps.

Ormond, Jake,Serka, Simon A.,Johansen, Joshua P., 2023, Enhanced Reactivation of Remapping Place Cells during Aversive Learning, Society for Neuroscience

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