A shared neural ensemble links distinct contextual memories encoded close in time
- PMID: 27251287
- PMCID: PMC5063500
- DOI: 10.1038/nature17955
A shared neural ensemble links distinct contextual memories encoded close in time
Abstract
Recent studies suggest that a shared neural ensemble may link distinct memories encoded close in time. According to the memory allocation hypothesis, learning triggers a temporary increase in neuronal excitability that biases the representation of a subsequent memory to the neuronal ensemble encoding the first memory, such that recall of one memory increases the likelihood of recalling the other memory. Here we show in mice that the overlap between the hippocampal CA1 ensembles activated by two distinct contexts acquired within a day is higher than when they are separated by a week. Several findings indicate that this overlap of neuronal ensembles links two contextual memories. First, fear paired with one context is transferred to a neutral context when the two contexts are acquired within a day but not across a week. Second, the first memory strengthens the second memory within a day but not across a week. Older mice, known to have lower CA1 excitability, do not show the overlap between ensembles, the transfer of fear between contexts, or the strengthening of the second memory. Finally, in aged mice, increasing cellular excitability and activating a common ensemble of CA1 neurons during two distinct context exposures rescued the deficit in linking memories. Taken together, these findings demonstrate that contextual memories encoded close in time are linked by directing storage into overlapping ensembles. Alteration of these processes by ageing could affect the temporal structure of memories, thus impairing efficient recall of related information.
Conflict of interest statement
The authors declare no competing financial interests.
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Comment in
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Learning and memory: Once upon a recent time.Nat Rev Neurosci. 2016 Jul;17(7):397. doi: 10.1038/nrn.2016.84. Epub 2016 Jun 9. Nat Rev Neurosci. 2016. PMID: 27277869 No abstract available.
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