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Updated: Dec 25, 2025

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Longitudinal Two-Photon Imaging of Dorsal Hippocampal CA1 in Live Mice
Published on: June 19, 2019
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Multiple Maps of the Same Spatial Context Can Stably Coexist in the Mouse Hippocampus
Liron Sheintuch1, Nitzan Geva1, Hadas Baumer1
1Department of Neurobiology, Weizmann Institute of Science, Rehovot 76100, Israel.
Current Biology : CB
|March 30, 2020
Summary
Mouse hippocampal neurons can create multiple distinct spatial maps of the same familiar environment. These neural representations are stable, informative, and retrieved from long-term memory.
Area of Science:
- Neuroscience
- Cognitive Science
- Memory Research
Background:
- Hippocampal place cells are crucial for spatial memory, typically showing stable activity in familiar environments.
- Previous research indicated place cells remap across different contexts but maintain tuning within a single, familiar context.
Purpose of the Study:
- To investigate whether hippocampal neurons can form multiple distinct representations of the same familiar environment.
- To explore the nature and persistence of these multiple representations.
Main Methods:
- Recording neuronal activity in mouse hippocampi during exploration of a familiar environment.
- Analyzing place cell firing patterns across multiple separate visits to the environment.
- Assessing the spatial information content and stability of neuronal representations over time.
Main Results:
- Mouse hippocampal neurons demonstrated global remapping, forming multiple distinct spatial maps of the same environment.
- Map alternations occurred only between separate visits, suggesting switching between stable network attractors.
- These distinct maps were spatially informative and persisted for weeks, indicating reliable storage and retrieval.
Conclusions:
- A single familiar spatial context can be represented by multiple distinct neuronal maps in the hippocampus.
- These multiple representations are stable, informative, and potentially stored in long-term memory.
- This challenges the notion of a single, fixed neural representation for a given spatial context.

