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Replay and Time Compression of Recurring Spike Sequences in the Hippocampus
Open accessAbstract
Information in neuronal networks may be represented by the spatiotemporal patterns of spikes. Here we examined the temporal coordination of pyramidal cell spikes in the rat hippocampus during slow-wave sleep. In addition, rats were trained to run in a defined position in space (running wheel) to activate a selected group of pyramidal cells. A template-matching method and a joint probability map method were used for sequence search. Repeating spike sequences in excess of chance occurrence were examined by comparing the number of repeating sequences in the original spike trains and in surrogate trains after Monte Carlo shuffling of the spikes. Four different shuffling procedures were used to control for the population dynamics of hippocampal neurons. Repeating spike sequences in the recorded cell assemblies were present in both the awake and sleeping animal in excess of what might be predicted by random variations. Spike sequences observed during wheel running were “replayed” at a faster timescale during single sharp-wave bursts of slow-wave sleep. We hypothesize that the endogenously expressed spike sequences during sleep reflect reactivation of the circuitry modified by previous experience. Reactivation of acquired sequences may serve to consolidate information.
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“In fact, entire spike trains observed during a task performed during prior waking reemerged in the same temporal order during succeeding sleep, with this “replay” running at a faster speed, i.e., in a time-compressed form (715, 716, 843).”
From About Sleep's Role in Memory (2013) · cites this paper as [843]
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“1) during SWS, firing patterns observed during waking are replayed at a much faster (10 -20 times) rate, suggesting a time-compressed form of memory reactivation (160, 551, 606, 715, 843, 1090);”
From About Sleep's Role in Memory (2013) · cites this paper as [843]
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Background
Research works printed but not linked: 5
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Bong, J. H. (2012) · National University of Singapore
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Yoshida, L., Kotani, K., & Jimbo, Y. (2013) · IEEJ Transactions on Electronics Information and Systems · doi:10.1541/ieejeiss.133.971
Sparse coding and dictionary learning for spike trains to find spatio-temporal patterns
Tezuka, T. (2015) · BMC Neuroscience · doi:10.1186/1471-2202-16-s1-p255
“Some patterns have already been found and are related to functional roles such as memory consolidation and gating of sensory inputs [7,8].”
BackgroundEffects of Aging on Sleep-Dependent Consolidation of Declarative Memory
Baran, B. (2020) · ScholarWorks@UMassAmherst (University of Massachusetts Amherst) · doi:10.7275/wnda-cm86
Cellular mechanisms underlying network synchrony in the medial temporal lobe
Mann, E. O., & Paulsen, O. (2008) · Cambridge University Press eBooks · doi:10.1017/cbo9780511541650.002
Cell assemblies and serial computation in neural circuits
Harris, K. D. (2008) · Cambridge University Press eBooks · doi:10.1017/cbo9780511541650.003
Hampson, E., Zhuang, S.-Y., Weiner, J. L., & Deadwyler, S. A. (2016)
Powell, M. (2012)
Neural Synchrony and Memory In and Out of Sleep
Benchenane, K., & Peyrache, A. (2017) · Elsevier eBooks · doi:10.1016/b978-0-12-809324-5.21117-6 · Cited by 1
CREB-mediated Enhancement of Hippocampus-dependent Memory Consolidation and Reconsolidation
Sekeres, M. J. (2012) · TSpace (University of Toronto)
Causal Relationship Between SPWRs and Spatial Learning and Memory
Girardeau, G., & Zugaro, M. (2014) · Springer series in computational neuroscience · doi:10.1007/978-1-4939-1969-7_7
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Metadata
- Authors
- Nádasdy, Z., Hirase, H., Czurkó, A., Csicsvari, J., & Buzsáki, G.
- Affiliations
- Rutgers, The State University of New Jersey (US)
- Venue
- The Journal of Neuroscience
- Publisher
- Society for Neuroscience
- Published
- 1999-11-01
- Volume
- 19
- Issue
- 21
- Pages
- 9497-9507
- ISSN
- 0270-6474 (ISSN-L)
- 1529-2401
- PMC
- PMC6782894
- OpenAlex
- W1580901834
- Cited by
- 932
- References
- 65
- Citations by year
- 2026: 25 · 2025: 46 · 2024: 46 · 2023: 44 · 2022: 36 · 2021: 34 · 2020: 43 · 2019: 53 · 2018: 36 · 2017: 46 · 2016: 38 · 2015: 40 · 2014: 51 · 2013: 39 · 2012: 29
- FWCI
- 7.04
- 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
- National Institutes of Health
- National Institute of Mental Health (R01MH054671, MH54671)
- National Institute of Neurological Disorders and Stroke (R01NS034994, NS-34994)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Sleep and Wakefulness Research
- Keywords
- replay, slow-wave sleep, pyramidal neurons, template matching, memory consolidation, spatial navigation
- MeSH terms
- Animals, Brain Mapping, Evoked Potentials, Hippocampus, Models, Neurological, Monte Carlo Method, Motor Activity, Nerve Net, Neurons, Probability, Sleep, Time Factors, Wakefulness, Rats, Sprague-Dawley, Pyramidal Cells, Rats
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