Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 968

The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.

A shared neural ensemble links distinct contextual memories encoded close in time

Open access
Cai, Denise J., Aharoni, Daniel, Shuman, Tristan, Shobe, Justin, Biane, Jeremy, Song, Weilin, Wei, Brandon, Veshkini, Michael, La-Vu, Mimi, Lou, Jerry, Flores, Sergio E., Kim, Isaac, Sano, Yoshitake, Zhou, Miou, Baumgaertel, Karsten, Lavi, Ayal, Kamata, Masakazu, Tuszynski, Mark, Mayford, Mark, Golshani, Peyman, Silva, Alcino J.·2016·Nature

Abstract

A similar neural ensemble participates in the encoding of two distinct memories, resulting in the recall of one memory increasing the likelihood of recalling the other, but only if those memories occur very closely in time—within a day rather than across a week. This paper tests and provides support for the emerging hypothesis that two distinct memories formed close in time may be linked, such that recall of one triggers recall of the other. Using a range of techniques including in vivo calcium imaging with miniature head-mounted fluorescent microscopes in freely behaving mice, Alcino Silva and colleagues show that learning-dependent changes in excitability can temporally and contextually link memories formed close in time. Interestingly the overlap between memory encoding ensembles and strengthening of the second memory within short periods of time do not occur in aged animals, which do not exhibit the increased hippocampal excitability necessary for such links to occur. Recent studies suggest that a shared neural ensemble may link distinct memories encoded close in time1,2,3,4,5,6,7,8,9,10,11,12. According to the memory allocation hypothesis1,2, learning triggers a temporary increase in neuronal excitability13,14,15 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 excitability15,16, 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.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1038/nature17955

Cites

7 of 7 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 7 references

Cited by

See all 968

Metadata

Authors
Cai, D. J., Aharoni, D., Shuman, T., Shobe, J., Biane, J., Song, W., Wei, B., Veshkini, M., La-Vu, M., Lou, J., Flores, S. E., Kim, I., Sano, Y., Zhou, M., Baumgaertel, K., Lavi, A., Kamata, M., Tuszynski, M., Mayford, M., Golshani, P., & Silva, A. J.
Venue
Nature
Published
2016-05-23
Volume
534
Issue
7605
Pages
115-118
ISSN
  • 0028-0836 (ISSN-L)
  • 1476-4687
OpenAlex
W2404947714
Cited by
968
References
7
FWCI
51.32
Type
journal article
Language
en
Open access
green

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: A shared neural ensemble links distinct contextual memories encoded close in time. https://app.cochat.ai/papers/10.1038/nature17955
The paper
Cai, D. J., Aharoni, D., Shuman, T., Shobe, J., Biane, J., Song, W., Wei, B., Veshkini, M., La-Vu, M., Lou, J., Flores, S. E., Kim, I., Sano, Y., Zhou, M., Baumgaertel, K., Lavi, A., Kamata, M., Tuszynski, M., Mayford, M., . . . Silva, A. J. (2016). A shared neural ensemble links distinct contextual memories encoded close in time. Nature. https://doi.org/10.1038/nature17955

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.