The DOI matches its Crossref record; 40 of the 41 references it cites were found in a registry or an index.
Hippocampal Replay Captures the Unique Topological Structure of a Novel Environment
Open accessAbstract
Hippocampal place-cell replay has been proposed as a fundamental mechanism of learning and memory, which might support navigational learning and planning. An important hypothesis of relevance to these proposed functions is that the information encoded in replay should reflect the topological structure of experienced environments; that is, which places in the environment are connected with which others. Here we report several attributes of replay observed in rats exploring a novel forked environment that support the hypothesis. First, we observed that overlapping replays depicting divergent trajectories through the fork recruited the same population of cells with the same firing rates to represent the common portion of the trajectories. Second, replay tended to be directional and to flip the represented direction at the fork. Third, replay-associated sharp-wave–ripple events in the local field potential exhibited substructure that mapped onto the maze topology. Thus, the spatial complexity of our recording environment was accurately captured by replay: the underlying neuronal activities reflected the bifurcating shape, and both directionality and associated ripple structure reflected the segmentation of the maze. Finally, we observed that replays occurred rapidly after small numbers of experiences. Our results suggest that hippocampal replay captures learned information about environmental topology to support a role in navigation.
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“as does repeated replay or rehearsal of assemblies that encode recent experiences108,109.”
From The right time to learn: Mechanisms and optimization of spaced learning (2016) · cites this paper as [109]
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(1978) · UA Campus Repository (The University of Arizona) · Cited by 8,010
LOSS OF RECENT MEMORY AFTER BILATERAL HIPPOCAMPAL LESIONS
Scoville, W. B., & Milner, B. (1957) · Journal of Neurology, Neurosurgery & Psychiatry · doi:10.1136/jnnp.20.1.11 · Cited by 7,322
Cognitive maps in rats and men
Tolman, E. C. (1948) · Psychological Review · doi:10.1037/h0061626 · Cited by 6,641
The hippocampus as a spatial map. Preliminary evidence from unit activity in the freely-moving rat
O'Keefe, J., & Dostrovsky, J. (1971) · Brain Research · doi:10.1016/0006-8993(71)90358-1 · Cited by 6,151
Reactivation of hippocampal ensemble memories during sleep
Wilson, M. A., & McNaughton, B. L. (1994) · Science · doi:10.1126/science.8036517 · Cited by 3,118
Synaptic Plasticity and Memory: An Evaluation of the Hypothesis
Martin, S. J., Grimwood, P. D., & Morris, R. G. M. (2000) · Annual Review of Neuroscience · doi:10.1146/annurev.neuro.23.1.649 · Cited by 2,794
Gallistel, C. R. (1990) · Cited by 2,571
A framework for mesencephalic dopamine systems based on predictive Hebbian learning
Montague, P., Dayan, P., & Sejnowski, T. (1996) · The Journal of Neuroscience · doi:10.1523/jneurosci.16-05-01936.1996 · Cited by 2,066
Remembrance of places passed: Spatial memory in rats.
Olton, D. S., & Samuelson, R. J. (1976) · Journal of Experimental Psychology Animal Behavior Processes · doi:10.1037/0097-7403.2.2.97 · Cited by 1,993
The cognitive neuroscience of constructive memory: remembering the past and imagining the future
Schacter, D. L., & Addis, D. R. (2007) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2007.2087 · Cited by 1,836
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Epstein, R. A., Patai, E. Z., Julian, J. B., & Spiers, H. J. (2017) · Nature Neuroscience · doi:10.1038/nn.4656 · Cited by 921
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Kumaran, D., Hassabis, D., & McClelland, J. L. (2016) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2016.05.004 · Cited by 759
Josselyn, S. A., Köhler, S., & Frankland, P. W. (2015) · Nature reviews. Neuroscience · doi:10.1038/nrn4000 · Cited by 749
Rhythms of the hippocampal network
Colgin, L. L. (2016) · Nature reviews. Neuroscience · doi:10.1038/nrn.2016.21 · Cited by 654
Metadata
- Authors
- Wu, X., & Foster, D. J.
- Affiliations
- Johns Hopkins University (US)
- ORCID
- Foster, David J.
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 2014-05-07
- Volume
- 34
- Issue
- 19
- Pages
- 6459-6469
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC4012305
- OpenAlex
- W2002978960
- Cited by
- 201
- References
- 41
- Citations by year
- 2026: 9 · 2025: 17 · 2024: 17 · 2023: 16 · 2022: 10 · 2021: 18 · 2020: 18 · 2019: 26 · 2018: 23 · 2017: 18 · 2016: 21 · 2015: 7 · 2014: 1
- FWCI
- 8.74
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Licence
- Locations
- Journal of Neuroscience (publishedVersion, cc-by-nc-sa)
- PubMed Central (publishedVersion)
- PubMed (publishedVersion)
- Funders
- Alfred P. Sloan Foundation
- Whitehall Foundation
- National Institutes of Health
- National Institute of Mental Health (R01MH085823)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- hippocampal replay, place cells, maze navigation, sharp-wave ripples, local field potentials, novel environment, spatial memory
- MeSH terms
- Algorithms, Animals, Environment, Evoked Potentials, Hippocampus, Learning, Male, Neural Pathways, Neurons, Reward, Spatial Behavior, Linear Models, Maze Learning, Rats, Long-Evans, Rats, Electrophysiological Phenomena
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