The DOI matches its Crossref record; 64 of the 65 references it cites were found in a registry or an index.
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]
Experimental — accuracy not yet measuredThe source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
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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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Citations
Cites
(1978) · UA Campus Repository (The University of Arizona) · Cited by 8,010
McClelland, J. L., McNaughton, B. L., & O'Reilly, R. C. (1995) · Psychological Review · doi:10.1037/0033-295x.102.3.419 · Cited by 5,256
The Integrative Action of the Nervous System.
Sherrington, C. (1907) · The Journal of Nervous and Mental Disease · doi:10.1097/00005053-190734120-00021 · Cited by 4,136
Reactivation of hippocampal ensemble memories during sleep
Wilson, M. A., & McNaughton, B. L. (1994) · Science · doi:10.1126/science.8036517 · Cited by 3,118 · cited 11×
“Rapid reinstatement of the spatiotemporal patterns of pyramidal cell activity in the CA3–CA1 regions and deep layers of the entorhinal cortex (Chrobak and Buzsaki, 1994, 1996) is hypothesized to transfer the stored representations in the hippocampus to neocortical networks (Buzsáki, 1989; Wilson and McNaughton, 1994;…”
BackgroundMethodResultInfluentialPhase relationship between hippocampal place units and the EEG theta rhythm
O'Keefe, J. M., & Recce, M. L. (1993) · Hippocampus · doi:10.1002/hipo.450030307 · Cited by 2,643
Stimulus-specific neuronal oscillations in orientation columns of cat visual cortex
Gray, C. M., & Singer, W. (1989) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.86.5.1698 · Cited by 2,463 · cited 2×
“, 1996; Marder and Calabrese, 1996) and vertebrate (Strehler and Lestienne, 1986; Ts’o et al., 1986; Vaadia and Abeles, 1987; Eckhorn et al., 1988; Gray and Singer, 1989; Frostig et al., 1990b; Aertsen et al., 1991; Abeles et al., 1993; Riehle et al., 1997) brains.”
BackgroundCoherent oscillations: A mechanism of feature linking in the visual cortex?
Eckhorn, R., Bauer, R., Jordan, W., Brosch, M., Kruse, W., Munk, M., & Reitboeck, H. J. (1988) · Biological Cybernetics · doi:10.1007/bf00202899 · Cited by 2,329
Llinás, R. R. (1988) · Science · doi:10.1126/science.3059497 · Cited by 2,285 · cited 1×
“…on individual pyramidal neurons and their network interactions suggest that pyramidal cells are equipped with intrinsic oscillatory properties (Llinás, 1988; Leung and Yim, 1991; Kamondi et al., 1998) and are embedded in an oscillatory network of interneurons (Buzsáki and Chrobak, 1995;…”
BackgroundShadlen, M. N., & Newsome, W. T. (1998) · The Journal of Neuroscience · doi:10.1523/jneurosci.18-10-03870.1998 · Cited by 2,178 · cited 1×
“If the dynamics of cortical neurons could be described by a Poisson process (Bair and Koch, 1996; Shadlen and Newsome, 1998), then within-spike-train randomization of spike occurrences would be appropriate because this procedure does not alter the average firing rate of the individual neurons.”
BackgroundGeorgopoulos, A. P., Kalaska, J. F., Caminiti, R., & Massey, J. (1982) · Journal of Neuroscience · doi:10.1523/jneurosci.02-11-01527.1982 · Cited by 2,133 · cited 1×
“Several explanations have been proposed on theoretical grounds, including frequency coding (Sherrington, 1906; Eccles, 1957; Barlow, 1972; Georgopoulos et al., 1982), temporal coincidence coding (von der Malsburg and Bienenstock, 1986; Singer, 1993), temporal delay of spikes (O’Keefe and Recce,…”
Background
Research works printed but not linked: 5
- Nadasdy, 1996, Repeating spatio-temporal patterns of neuronal activity in the hippocampus during sleep., Soc Neurosci Abstr, 22, 445.11
- Nadasdy, 1997, Relationship between recurring spatio-temporal spike patterns and local field oscillations in the hippocampus., Soc Neurosci Abstr, 23, 188.5
- Nadasdy, 1998, Persistence, compression and behavioral induction of spike sequences in the hippocampus., Soc Neurosci Abstr, 24, 362.18
- Nádasdy Z Csicsvari J Penttonen M Hetke J Wise K Buzsáki G (1998) Extracellular recording and analysis of neuronal activity: from single cells to ensembles. in Neuronal ensembles: strategies for recording and encoding, eds Eichenbaum H Davis J (Wiley, New York), pp 17–55.
- Quirk, 1998, Temporal changes in the firing properties of CA1 pyramidal cells in the freely behaving rat., Soc Neurosci Abstr, 24, 758.13
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Malézieux, M. (2018) · theses.fr (ABES) · doi:10.70675/a57fb9f7z01b7z450bza4ccz168a5b84253c
Michon, F.-X. (2018) · theses.fr (ABES) · doi:10.70675/6fbbdcbaz764ez4136z96f1z5e7b485b0942
Contribution of the potassium / chloride cotransporter KCC2 to hippocampal rhythmopathy
Goutierre, M. (2018) · theses.fr (ABES) · doi:10.70675/0e53b3d1zc373z40d8za27dz4bca44dc7555
Role of the thalamic nucleus reuniens in the cortico-hippocampal coupling and memory consolidation
Ferraris, M. (2020) · theses.fr (ABES) · doi:10.70675/3f54f650z6692z45e7z89dfz4cd46a512b83
Sarazin, M. (2021) · theses.fr (ABES) · doi:10.70675/bbd73c82z58a3z46c2za17cz56614cc8acbd
On the developmental origin of CA1 pyramidal neuron diversity in the adult mouse hippocampus
Cavalieri, D. (2021) · theses.fr (ABES) · doi:10.70675/af05b2d4zc031z48d7z9ebaz859f489a8450
Bryzgalov, D. V. (2021) · theses.fr (ABES) · doi:10.70675/c11854e0ze39ez4a3fza554zf56b05c49055 · Cited by 1
Hippocampo-cortical interaction underlying episodic memory
Bochereau, A. (2020) · theses.fr (ABES) · doi:10.70675/8f206effz0c76z40d0z91e6z15ccb174c9f1
Abdallah, N. H.-B. (2020) · theses.fr (ABES) · doi:10.70675/f33c8cd2z87e6z4346zbfcez57d516772a52
Goirand-Lopez, L. (2023) · theses.fr (ABES) · doi:10.70675/5de1466eza224z417ez83a7za5995271250e
Huang, E., Xu, D., Zhu, H., Chen, Z., Li, P., Chen, Y., Lei, S., Liu, J., Li, C., & Zhang, X. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.04.12.718071
Seltmann, S., Trost, L., Maat, A. T., & Gahr, M. L. (2026) · Journal of Comparative Physiology A · doi:10.1007/s00359-026-01819-z
A likelihood-based method for identifying replay from spike sequences
Huh, N., Yun, I., Lee, J. W., & Jung, M. W. (2026) · Nature Communications · doi:10.1038/s41467-026-74822-2
“Replay detection methods have evolved considerably, from pairwise temporal ordering analyses 27 to identi fi cation of temporally compressed multi-neuron spike sequences during sleep 28 , and subsequently to template-based matching of population activity to behaviorally de fi ned sequences 2,3,29,30 .”
Generative replay across hippocampal-neocortical circuitsPreprint
Shearer, C. M., McDonald-Hill, R., Guillaumin, M. C. C., McGinnis, O. J., dos Santos, V. L., Perestenko, P. V., Dupret, D., & Barron, H. C. (2026) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.64898/2026.07.24.740539
Ursino, M., Valgimigli, E., & Pirazzini, G. (2026) · Research Square · doi:10.21203/rs.3.rs-10456268/v1
A quality measure for repeating multiple-unit spike patterns
Palm, G., Paoletti, M., Ito, J., Stella, A., & Grün, S. (2026) · Biological Cybernetics · doi:10.1007/s00422-026-01048-2
“Someearlymethodsfoundrepeatingpatternsinmultiple-unit recordings of relatively small numbers of neurons (Abeles et al. 1993; Abeles and Gat 2001; Shmiel et al. 2006; Prut et al. 1998; Nádasdy et al. 1999; Shimazaki et al. 2012).”
Huang, E., Xu, D., Zhu, H., Chen, Z., Li, P., Chen, Y., Lei, S., Liu, J., Li, C., & Zhang, X. (2026) · Neuroscience Bulletin · doi:10.1007/s12264-026-01720-4
Drift-diffusion dynamics of hippocampal replay
Wu, Z., & Wei, X.-X. (2026) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1014761
“This result seems to contrast with many previous reports showing that replay is compressed temporally, and its speed is often ten times faster than the animal’s movement speed [3,7,48].”
Coordinated memory trace reactivation across distributed neural ensembles in the primate neocortex
Hoffman, K. L. (2003) · UA Campus Repository (The University of Arizona)
Lonson, C. S.-R. (2014) · St Andrews Research Repository (St Andrews Research Repository)
Neural Correlates of Human Sleep and Sleep-Dependent Memory Processing
Meyer, C., Muto, V., Jaspar, M., Kussé, C., Foret, A., Mascetti, L., & Maquet, P. (2012) · Elsevier eBooks · doi:10.1016/b978-0-12-384995-3.00008-3
EFFECTS OF RESTING STATE ON PERCEPTUAL LEARNING
Eagleman, S. L. (2014) · Digital Commons-TMC (Texas Medical Center)
The Role of Post-Learning Reactivation in Memory Consolidation
Cousins, J. N. (2014) · Research Explorer (The University of Manchester)
Ólafsdóttir, H. F. (2014) · UCL Discovery (University College London)
Overview of Neural Activity in the Awake and Sleeping Hippocampus
Eckert, M. J., & Tatsuno, M. (2014) · Springer series in computational neuroscience · doi:10.1007/978-1-4939-1969-7_3
“Further studies showed that these correlations were more pronounced during sharp-wave ripple wave events and they decayed to a statistically undetectable level in about 30 min [ 55 , 56 ] (Fig.”
BackgroundThe functional anatomy of hippocampal theta and gamma oscillations
Montgomery, S. M. (2009) · Rutgers University Community Repository (Rutgers University) · doi:10.7282/t3k937rc
“…have found evidence that hippocampal neurons replay patterns of waking activity during both slow-wave and REM sleep (Louie and Wilson 2001; Nadasdy et al. 1999; Skaggs and McNaughton 1996; Wilson and McNaughton 1994) and that experience-dependent gene expression is activated in the…”
BackgroundRytm theta we śnie i w czuwaniu
Matulewicz, P. (2014)
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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