Cited by 932Memory and Neural MechanismsNeural dynamics and brain functionSleep and Wakefulness Research

Replay and Time Compression of Recurring Spike Sequences in the Hippocampus

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Nádasdy, Zoltán, Hirase, Hajime, Czurkó, András, Csicsvari, Jozsef, Buzsáki, György·1999·The Journal of Neuroscience

Abstract

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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Crossref · 10.1523/jneurosci.19-21-09497.1999

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64 of 64 references verified0 citation errors · 0 not checkable

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  • Entire spike trains observed during a task performed during prior waking reemerged in the same temporal order during succeeding sleep, with replay running at a faster speed (time-compressed).

    “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]

    The Abstract and ‘Externally controlled and internally generated recurring spike sequences’ report that sequences seen during wheel running recurred in subsequent slow-wave sleep at a faster timescale, mainly during sharp-wave bursts. But ‘Behavioral modification of spike sequences’ describes shared short sequences, including spike triplets—not entire spike trains reemerging in full. (LLM, conf=0.88)

    Experimental — accuracy not yet measured
  • During SWS, firing patterns observed during waking are replayed at a much faster (10-20 times) rate.

    “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]

    The Abstract and the section on externally controlled and internally generated recurring spike sequences report that waking spike sequences were replayed on a faster timescale during sharp-wave bursts of slow-wave sleep. The passages do not establish the claimed 10–20-fold rate; the 10–20 msec figure elsewhere describes a spike-search window, not replay speed. Page numbers are unavailable in our copy. (LLM, conf=0.87)

    Experimental — accuracy not yet measured

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1 of the 65 references couldn’t be matched to a known paper.

Research works printed but not linked: 2

  1. Abeles M (1991) Corticonics: neural circuits of the cerebral cortex. Cambridge, U.K.: Cambridge UP.
  2. Na ´dasdy Z, Csicsvari J, Penttonen M, Hetke J, Wise K , Buzsa ´ki G (1998) Extracellular recording and analysis of neuronal activity: from single cells to ensembles. In: Neuronal ensembles: strategies for recording and encoding (Eichenbaum H, Davis J, eds), pp 17-55. New York: Wiley.

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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
Published
1999-11-01
Volume
19
Issue
21
Pages
9497-9507
ISSN
  • 0270-6474 (ISSN-L)
  • 1529-2401
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
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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