The DOI matches its Crossref record; 12 of the 12 references it cites were found in a registry or an index.
Hippocampal ensemble dynamics timestamp events in long-term memory
Open accessAbstract
The capacity to remember temporal relationships between different events is essential to episodic memory, but little is currently known about its underlying mechanisms. We performed time-lapse imaging of thousands of neurons over weeks in the hippocampal CA1 of mice as they repeatedly visited two distinct environments. Longitudinal analysis exposed ongoing environment-independent evolution of episodic representations, despite stable place field locations and constant remapping between the two environments. These dynamics time-stamped experienced events via neuronal ensembles that had cellular composition and activity patterns unique to specific points in time. Temporally close episodes shared a common timestamp regardless of the spatial context in which they occurred. Temporally remote episodes had distinct timestamps, even if they occurred within the same spatial context. Our results suggest that days-scale hippocampal ensemble dynamics could support the formation of a mental timeline in which experienced events could be mnemonically associated or dissociated based on their temporal distance.
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Ultrasensitive fluorescent proteins for imaging neuronal activity
Chen, T.-W., Wardill, T. J., Sun, Y., Pulver, S. R., Renninger, S. L., Baohan, A., Schreiter, E. R., Kerr, R. A., Orger, M. B., Jayaraman, V., et al. (2013) · Nature · doi:10.1038/nature12354 · Cited by 6,474
Episodic memory: from mind to brain
Tulving, E. (2002) · Annual Review of Psychology · doi:10.1146/annurev.psych.53.100901.135114 · Cited by 4,950
The effects of changes in the environment on the spatial firing of hippocampal complex-spike cells
Muller, R., & Kubie, J. (1987) · The Journal of Neuroscience · doi:10.1523/jneurosci.07-07-01951.1987 · Cited by 1,581
Hippocampal ‘time cells’ bridge the gap in memory for discontiguous events
MacDonald, C. J., Lepage, K. Q., Eden, U. T., & Eichenbaum, H. (2011) · Neuron · doi:10.1016/j.neuron.2011.07.012 · Cited by 1,193
Long-term dynamics of CA1 hippocampal place codes
Ziv, Y., Burns, L. D., Cocker, E. D., Hamel, E. O., Ghosh, K. K., Kitch, L. J., Gamal, A. E., & Schnitzer, M. J. (2013) · Nature Neuroscience · doi:10.1038/nn.3329 · Cited by 1,155
Self-citationTime cells in the hippocampus: a new dimension for mapping memories
Eichenbaum, H. (2014) · Nature Reviews Neuroscience · doi:10.1038/nrn3827 · Cited by 843
A single standard for memory: The case for reconsolidation
Nader, K., & Hardt, O. (2009) · Nature Reviews Neuroscience · doi:10.1038/nrn2590 · Cited by 811
The Restless Engram: Consolidations Never End
Dudai, Y. (2012) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062111-150500 · Cited by 644
Long-term plasticity in hippocampal place-cell representation of environmental geometry
Lever, C., Wills, T., Cacucci, F., Burgess, N., & O'Keefe, J. (2002) · Nature · doi:10.1038/416090a · Cited by 465
Impermanence of dendritic spines in live adult CA1 hippocampus
Attardo, A., Fitzgerald, J. E., & Schnitzer, M. J. (2015) · Nature · doi:10.1038/nature14467 · Cited by 399
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Tsao, A., Sugar, J., Lu, L., Wang, C., Knierim, J. J., Moser, M.-B., & Moser, E. I. (2018) · Nature · doi:10.1038/s41586-018-0459-6 · Cited by 490
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Garvert, M. M., Dolan, R. J., & Behrens, T. E. (2017) · eLife · doi:10.7554/elife.17086 · Cited by 379
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Gauthier, J. L., & Tank, D. W. (2018) · Neuron · doi:10.1016/j.neuron.2018.06.008 · Cited by 394
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Grewe, B. F., Gründemann, J., Kitch, L. J., Lecoq, J. A., Parker, J. G., Marshall, J. D., Larkin, M. C., Jercog, P. E., Grenier, F., Li, J. Z., et al. (2017) · Nature · doi:10.1038/nature21682 · Cited by 351
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Danielson, N. B., Zaremba, J. D., Kaifosh, P., Bowler, J., Ladow, M., & Losonczy, A. (2016) · Neuron · doi:10.1016/j.neuron.2016.06.020 · Cited by 288
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Rule, M. E., O’Leary, T., & Harvey, C. D. (2019) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2019.08.005 · Cited by 227
The role of spatial boundaries in shaping long-term event representations
Horner, A. J., Bisby, J. A., Wang, A., Bogus, K., & Burgess, N. (2016) · Cognition · doi:10.1016/j.cognition.2016.05.013 · Cited by 175
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Sanders, H., Wilson, M. A., & Gershman, S. J. (2020) · eLife · doi:10.7554/elife.51140 · Cited by 163
Does mental context drift or shift?
DuBrow, S., Rouhani, N., Niv, Y., & Norman, K. A. (2017) · Current Opinion in Behavioral Sciences · doi:10.1016/j.cobeha.2017.08.003 · Cited by 118
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Marblestone, A. H., Wayne, G., & Kording, K. P. (2016) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2016.00094 · Cited by 119
A brain atlas of synapse protein lifetime across the mouse lifespan
Bulovaite, E., Qiu, Z., Kratschke, M., Zgraj, A., Fricker, D. G., Tuck, E. J., Gokhale, R., Koniaris, B., Jami, S. A., Merino-Serrais, P., et al. (2022) · Neuron · doi:10.1016/j.neuron.2022.09.009 · Cited by 111
Hippocampal Place Fields Maintain a Coherent and Flexible Map across Long Timescales
Kinsky, N. R., Sullivan, D. W., Mau, W., Hasselmo, M. E., & Eichenbaum, H. B. (2018) · Current Biology · doi:10.1016/j.cub.2018.09.037 · Cited by 105
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Sheintuch, L., Geva, N., Baumer, H., Rechavi, Y., Rubin, A., & Ziv, Y. (2020) · Current Biology · doi:10.1016/j.cub.2020.02.018 · Cited by 88
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O’Keefe, J., & Krupic, J. (2021) · Physiological Reviews · doi:10.1152/physrev.00014.2020 · Cited by 93
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Yang, W., Sun, C., Huszár, R., Hainmueller, T., Kiselev, K., & Buzsáki, G. (2024) · Science · doi:10.1126/science.adk8261 · Cited by 95
Dynamic and reversible remapping of network representations in an unchanging environment
Low, I. I. C., Williams, A. H., Campbell, M. G., Linderman, S. W., & Giocomo, L. M. (2021) · Neuron · doi:10.1016/j.neuron.2021.07.005 · Cited by 70
Circuit mechanisms for disentangled representations and generalization in the hippocampus
Tang, W., Chang, H., Liu, C., Perez-Hernandez, S., Zheng, W. Y., Park, J., Karaba, L. A., Oliva, A., & Fernandez-Ruiz, A. (2026) · Nature Neuroscience · doi:10.1038/s41593-026-02491-x
Metadata
- Authors
- Rubin, A., Geva, N., Sheintuch, L., & Ziv, Y.
- Venue
- eLife
- Publisher
- eLife Sciences Publications, Ltd
- Published
- 2015-12-18
- Volume
- 4
- ISSN
- 2050-084X (ISSN-L)
- OpenAlex
- W2220289289
- Cited by
- 272
- References
- 12
- FWCI
- 10.14
- Type
- journal article
- Language
- en
- Open access
- gold
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