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Hippocampal Replay of Extended Experience
Open accessAbstract
During pauses in exploration, ensembles of place cells in the rat hippocampus re-express firing sequences corresponding to recent spatial experience. Such "replay" co-occurs with ripple events: short-lasting (approximately 50-120 ms), high-frequency (approximately 200 Hz) oscillations that are associated with increased hippocampal-cortical communication. In previous studies, rats exploring small environments showed replay anchored to the rat's current location and compressed in time into a single ripple event. Here, we show, using a neural decoding approach, that firing sequences corresponding to long runs through a large environment are replayed with high fidelity and that such replay can begin at remote locations on the track. Extended replay proceeds at a characteristic virtual speed of approximately 8 m/s and remains coherent across trains of ripple events. These results suggest that extended replay is composed of chains of shorter subsequences, which may reflect a strategy for the storage and flexible expression of memories of prolonged experience.
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“The reactivation of task-relevant regions was found to be particular prominent during sleep oscillatory events linked to memory consolidation, such as spindles and SOs.”
From Sleep—A brain-state serving systems memory consolidation (2023) · cites this paper as [108]
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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“both sleep and wake replay can represent knowledge about an environment and also share anticipatory features, such that they can e.g., include offline ''pre-activations'' of trajectories entailing visible but yet unexplored paths and locations.”
From Sleep—A brain-state serving systems memory consolidation (2023) · cites this paper as [148]
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“Spindle activity is increased over cortical regions involved in prior learning and, moreover, positively correlates with post sleep retrieval performance 180,181 and appears to accompany memory reactivations during sleep.108,114”
From Sleep—A brain-state serving systems memory consolidation (2023) · cites this paper as [108]
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“Reactivations of hippocampal cell firing patterns occur also during waking when the animal rests after task performance or during brief pauses of active behavior like explo-ration or running in a maze (191, 268, 556, 673, 870; see Ref. 175 for a review).”
From About Sleep's Role in Memory (2013) · cites this paper as [268]
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“In larger experimental environments, both forward and reverse replay can occur over multiple SW-R events thereby covering longer distances (268).”
From About Sleep's Role in Memory (2013) · cites this paper as [268]
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Influential
Cited by
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Items 401–500 of 806
Schmidt, B., & Redish, A. D. (2021) · Hippocampus · doi:10.1002/hipo.23367 · Cited by 20
Gauy, M. M., Lengler, J., Einarsson, H., Meier, F., Weissenberger, F., Yanik, M. F., & Steger, A. (2018) · Frontiers in Neuroscience · doi:10.3389/fnins.2018.00961 · Cited by 15
“Spontaneous replays of such events in sharp-wave ripples, however, are independent of such speeds, stopping times or locations of the animal (Wilson and McNaughton, 1994; Nádasdy et al., 1999; Geisler et al., 2007; Davidson et al., 2009; Yamamoto and Tonegawa, 2017), as well during sleep (Wilson and McNaughton, 1994;…”
BackgroundOptimizing for generalization in the decoding of internally generated activity in the hippocampus
van der Meer, M. A. A., Carey, A. A., & Tanaka, Y. (2017) · Hippocampus · doi:10.1002/hipo.22714 · Cited by 19
“Several studies performing position decoding on rodent hippocampus data have used a split between training and testing data (e.g., Zhang et al. 1998; Rutishauser et al. 2006; Davidson et al. 2009; Resnik et al. 2012; Agarwal et al. 2014), but this practice has not been consistently applied in this field.”
BackgroundMethodInfluentialSharp-wave ripple doublets induce complex dendritic spikes in parvalbumin interneurons in vivo
Judák, L., Chiovini, B., Juhász, G., Pálfi, D., Mezriczky, Z., Szadai, Z., Katona, G., Szmola, B., Ócsai, K., Martinecz, B., et al. (2022) · Nature Communications · doi:10.1038/s41467-022-34520-1 · Cited by 19
Behavioral evidence for memory replay of video episodes in the macaque
Zuo, S., Wang, L., Shin, J. H., Cai, Y., Zhang, B., Lee, S. W., Appiah, K., Zhou, Y., & Kwok, S. C. (2020) · eLife · doi:10.7554/elife.54519 · Cited by 20
“This cognitive discrepancy should be further elucidated using electrophysiological methods probing into the MTL (Davidson et al., 2009; Foster and Wilson, 2006; Karlsson and Frank, 2009; Diba and Buzsáki, 2007) and the neocortices (Naya et al., 2017).”
BackgroundMethodInfluentialReplay and representation dynamics in the hippocampus of freely flying bats
Forli, A., Fan, W., Qi, K. K., & Yartsev, M. M. (2025) · Nature · doi:10.1038/s41586-025-09341-z · Cited by 16
“Our finding that replay duration is nearly constant across spatial scales that span an order of magnitude is in clear contrast with experimental results in rodents, in which replay duration has been reported to scale linearly with the length of spatial behaviour 5,20 .”
InfluentialSleep sharp wave ripple and its functions in memory and synaptic plasticity
Zhou, Z., & Norimoto, H. (2023) · Neuroscience Research · doi:10.1016/j.neures.2023.01.011 · Cited by 17
Rethinking the hippocampal cognitive map as a meta-learning computational module
Ambrogioni, L., & Ólafsdóttir, H. F. (2023) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2023.05.011 · Cited by 16
“For example, replay studies have shown that most (50–90%) candidate hippocampal replay events do not express coherent spatial trajectories [58,71,72].”
BackgroundEnsemble reactivations during brief rest drive fast learning of sequences
Griffin, S., Khanna, P., Choi, H., Thiesen, K., Novik, L., Morecraft, R. J., & Ganguly, K. (2025) · Nature · doi:10.1038/s41586-024-08414-9 · Cited by 21
“This approach is similar in many ways to previous studies of spatial navigation, position decoding, and replay detection in rodent hippocampus 17,75 .”
Hippocampal Mechanisms for the Segmentation of Space by Goals and Boundaries
McKenzie, S., & Buzsáki, G. (2016) · Research and perspectives in neurosciences · doi:10.1007/978-3-319-28802-4_1 · Cited by 16
“…corridors) and event along the journey could be represented separately as a ‘neural word’ and such words would be concatenated, perhaps via sharp wave ripples (Foster and Wilson 2006; Davidson et al. 2009; Wu and Foster 2014), to represent the entire journey from the beginning to the end.”
BackgroundPereira, L. M., de Castro, C. M., Guerra, L. T. L., de Queiroz, T. M., Marques, J. T., & Pereira, G. S. (2019) · Molecular Neurobiology · doi:10.1007/s12035-018-1463-4 · Cited by 17
Skilling, Q. M., Eniwaye, B., Clawson, B. C., Shaver, J. J., Ognjanovski, N., Aton, S. J., & Żochowski, M. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009424 · Cited by 16
Domenico, C. M., Haggerty, D. C., Mou, X., & Ji, D. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109714 · Cited by 19
“It is known that place cell activities during running are replayed within ripples during normal immobility on the track (awake replay), which can be quantified by a pattern analysis like Bayesian decoding that requires a large number of place cells (Davidson et al., 2009; Karlsson and Frank, 2009; Zhang et al., 1998).”
Cao, L., Varga, V., & Chen, Z. S. (2021) · Cell Reports Methods · doi:10.1016/j.crmeth.2021.100101 · Cited by 16
“Population spike activities from hippocampal place cell assemblies provide a readout of the rat’s spatial location (Zhang et al., 1998; Davidson et al., 2009; Kloosterman et al., 2014; Grosmark and Buzsáki, 2016; Hu et al., 2018; Ciliberti et al., 2018).”
BackgroundSpiking neural network model for memorizing sequences with forward and backward recall
Borisyuk, R. M., Chik, D., Kazanovich, Y. B., & Gomes, J. D. S. (2013) · Biosystems · doi:10.1016/j.biosystems.2013.03.018 · Cited by 16
Characterizing Complex, Multi-Scale Neural Phenomena Using State-Space Models
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“In these applications, the yaw is tracked through an overhead video camera imaging two LEDs of different colors (e.g., red and green), mounted over the head stage of the neuronal recording system and placed along the anteroposterior axis of the head.”
BackgroundInfluentialProgress and issues in second-order analysis of hippocampal replay
van der Meer, M. A. A., Kemere, C. T., & Diba, K. (2020) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2019.0238 · Cited by 22
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“Moreover, the hippocampus in many species has been implicated in both the encoding and recall of memory episodes, and spontaneous hippocampal neural dynamics have been associated with sequence prediction (23, 24, 26, 28).”
BackgroundEfficient Position Decoding Methods Based on Fluorescence Calcium Imaging in the Mouse Hippocampus
Tu, M., Zhao, R., Adler, A., Gan, W., & Chen, Z. S. (2020) · Neural Computation · doi:10.1162/neco_a_01281 · Cited by 15
“3 Maximum likelihood estimation (MLE) for position decoding In addition to OLE, we also employed MLE for position decoding (Zhang et al., 2018; Davidson et al., 2009).”
MethodThinking about possibilities: mechanisms, ontogeny, functions and phylogeny
Redshaw, J., & Ganea, P. A. (2022) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2021.0333 · Cited by 18
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“For each frame, we decoded the location represented by spiking activity using a Bayesian decoding method used in previous experimental studies (Davidson et al., 2009; Pfeiffer and Foster, 2013).”
BackgroundMethodResultInfluentialHallmarks of healthy cognitive aging: Inter-individual differences in aging trajectories
Abrous, D. N., Blin, N., Boraxbekk, C., Catheline, G., Fitzsimons, C. P., Hilscher, M. M., Lemoine, M., Lopes, L. V., Maass, A., Nilsson, M., et al. (2026) · Ageing Research Reviews · doi:10.1016/j.arr.2026.103102 · Cited by 18
Inhibitory plasticity supports replay generalization in the hippocampus
Liao, Z., Terada, S., Raikov, I., Hadjiabadi, D. H., Szoboszlay, M., Soltész, I., & Losonczy, A. (2024) · Nature Neuroscience · doi:10.1038/s41593-024-01745-w · Cited by 14
“…random input in the present study, but injecting location-specific offline input biases replay starts to that location, consistent with experimental observations 14,15,93 , suggesting that simple modifications of our model may lend themselves easily to studies of replay in these distinct states.”
Allocentric and egocentric spatial representations coexist in rodent medial entorhinal cortex
Long, X., Bush, D., Deng, B., Burgess, N., & Zhang, S. (2025) · Nature Communications · doi:10.1038/s41467-024-54699-9 · Cited by 16
Multineuronal spike sequences repeat with millisecond precision
Matsumoto, K., Ishikawa, T., Matsuki, N., & Ikegaya, Y. (2013) · Frontiers in Neural Circuits · doi:10.3389/fncir.2013.00112 · Cited by 14
“…the behavioral exploration (Lee and Wilson, 2002; Harris et al., 2003; Foster and Wilson, 2006; Frontiers in Neural Circuits www.frontiersin.org June 2013 | Volume 7 | Article 112 | 1 NEURAL CIRCUITS O’Neill et al., 2006; Diba and Buzsaki, 2007; Pastalkova et al., 2008; Davidson et al., 2009).”
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“The navigation of this graph can be flexible in that it may involve shortcuts (Tolman, 1948), as well as combining and recombining snippets of trajectories (Davidson et al., 2009; Gupta et al., 2010).”
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Braun, W., & Memmesheimer, R.-M. (2022) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009891 · Cited by 14
The dopamine circuit as a reward-taxis navigation system
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Ripples in macaque V1 and V4 are modulated by top-down visual attention
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“…and NREM sleep in the hippocampus of rodents where they are important for memory consolidation (10, 12, 54) and less frequent during waking periods where they are important for memory-guided decision-making (55–57), or maze navigation where they predict future navigational behavior (17, 58–60).”
Impact of cognitive stimulation on ripples within human epileptic and non-epileptic hippocampus
Brázdil, M., Cimbálník, J., Román, R., Shaw, D. J., Stead, M., Daniel, P., Jurák, P., & Halámek, J. (2015) · BMC Neuroscience · doi:10.1186/s12868-015-0184-0 · Cited by 14
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Human spatial representation: what we cannot learn from the studies of rodent navigation
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Single-trial dynamics of hippocampal spatial representations are modulated by reward value
Michon, F., Krul, E., Sun, J., & Kloosterman, F. (2021) · Current Biology · doi:10.1016/j.cub.2021.07.058 · Cited by 16
Self-citationFast network oscillations during non-REM sleep support memory consolidation
Mizuseki, K., & Miyawaki, H. (2022) · Neuroscience Research · doi:10.1016/j.neures.2022.12.019 · Cited by 14
“Furthermore, bundled hippocampal SWRs, which support replay of prolonged experience (Davidson et al., 2009), tend to occur during more extended neocortical UP states than isolated SWRs, suggesting that a longer temporal window is available for bundled SWRs for”
BackgroundAwake replay: off the clock but on the job
van der Meer, M. A. A., & Bendor, D. (2025) · Trends in Neurosciences · doi:10.1016/j.tins.2025.02.006 · Cited by 19
“For instance, an SWR may start at the location where the previous one ended, a.k.a. ‘ chaining ’ , thereby creating long sequences or even shortcuts that were not directly experienced [10,18].”
Network, Cellular, and Molecular Mechanisms Underlying Long-Term Memory Formation
Carasatorre, M., & Ramı́rez-Amaya, V. (2012) · Current topics in behavioral neurosciences · doi:10.1007/7854_2012_229 · Cited by 14
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GABAergic CA1 neurons are more stable following context changes than glutamatergic cells
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“It has been recently suggested that a function of such sequences or clusters of SWRs may be to keep in memory and express later prolonged experiences of several individual events that occur in a path along the space (Davidson et al., 2009).”
The problem of multimodal concurrent serial order in behavior
Kolodny, O., & Edelman, S. (2015) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2015.07.009 · Cited by 15
“Interestingly, the replay can be speeded or time-reversed relative to the original sequence (Davidson et al., 2009); it can also precede action rather than recalling it (Muller and Kubie, 1989; Dragoi and Tonegawa, 2013).”
BackgroundCompetitive state of movements during planning predicts sequence performance
Mantziara, M., Ivanov, T. G., Houghton, G., & Kornysheva, K. (2021) · Journal of Neurophysiology · doi:10.1152/jn.00645.2020 · Cited by 14
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Fragmented replay of very large environments in the hippocampus of bats
Eliav, T., Maimon, S. R., Sarel, A., Palgi, S., Las, L., & Ulanovsky, N. (2025) · Cell · doi:10.1016/j.cell.2025.05.024 · Cited by 15
Replay without sharp wave ripples in a spatial memory task
Widloski, J., & Foster, D. J. (2025) · Nature Communications · doi:10.1038/s41467-025-65181-5 · Cited by 15
“In these cases, multiple ripples tend to occur 21,41 – 44 , suggesting that ripples may be building blocks of replay.”
InfluentialMemory Replay in the Hippocampus
Jadhav, S. P., & Frank, L. M. (2014) · Springer eBooks · doi:10.1007/978-3-7091-1292-2_13 · Cited by 12
How Does the Brain Solve the Computational Problems of Spatial Navigation?
Widloski, J., & Fiete, I. (2014) · Springer eBooks · doi:10.1007/978-3-7091-1292-2_14 · Cited by 12
“IF is a Sloan Foundation Fellow, a Searle Scholar, a McKnight Scholar, and acknowledges funding from the Office of Naval Research, through ONR MURI award N00014-10-1-0936.”
BackgroundMalkki, H. A. I., Mertens, P. E. C., Lankelma, J. V., Vinck, M. A., van Schalkwijk, F. J., Mourik-Donga, L. A. V., Battaglia, F. P., Mahlke, C., Kuhl, D., & Pennartz, C. M. A. (2016) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2016.03.021 · Cited by 12
“Hippocampal SWRs have been previously associated with replay and memory consolidation and may well be a hallmark of offline memory retrieval and storage processes (Carr, Jadhav, & Frank, 2011; Davidson et al., 2009; Kudrimoti et al., 1999; Pennartz et al., 2004).”
Unsupervised Detection of Cell-Assembly Sequences by Similarity-Based Clustering
Watanabe, K., Haga, T., Euston, D. R., Tatsuno, M., & Fukai, T. (2019) · Frontiers in Neuroinformatics · doi:10.3389/fninf.2019.00039 · Cited by 13
Methods for Assessment of Memory Reactivation
Liu, S., Grosmark, A., & Chen, Z. S. (2018) · Neural Computation · doi:10.1162/neco_a_01090 · Cited by 11
“, hippocampal sharp-wave ripples or neocortical spindles or slow waves; (Ji & Wilson, 2007; Davidson et al., 2009).”
BackgroundMethodInfluentialMiyata, R., Ota, K., & Aonishi, T. (2013) · PLoS ONE · doi:10.1371/journal.pone.0077395 · Cited by 11
Goal discrimination in hippocampal nonplace cells when place information is ambiguous
Zhang, L., Prince, S., Paulson, A. L., & Singer, A. C. (2022) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2107337119 · Cited by 11
Babl, S. S., & Sigurdsson, T. (2025) · PLoS Biology · doi:10.1371/journal.pbio.3003140 · Cited by 13
“…ArchT-dHPC and ArchT-vHPC groups, regardless of whether light was delivered during the sample phase (Fig 3C To examine coding of relative position at the population level, we used a Bayesian decoder [52,53] to predict the animal’s position from the activity of simultaneously recorded PFC neurons.”
Reliable optical detection of coherent neuronal activity in fast oscillating networks in vitro
Reichinnek, S., von Kameke, A., Hagenston, A. M., Freitag, E., Roth, F. C., Bading, H., Hasan, M. T., Draguhn, A., & Both, M. (2011) · NeuroImage · doi:10.1016/j.neuroimage.2011.12.018 · Cited by 11
“Parallel recordings of multiple identified units in behaving rats suggest that well defined neurons are activated in precisely ordered patterns during such states (Davidson et al., 2009; Ji and Wilson, 2007; Wilson and McNaughton, 1994).”
BackgroundCoherent mapping of position and head direction across auditory and visual cortex
Mertens, P. E. C., Marchesi, P., Ruikes, T. R., Lohuis, M. N. O., Krijger, Q., Pennartz, C. M. A., & Lansink, C. S. (2023) · Cerebral Cortex · doi:10.1093/cercor/bhad045 · Cited by 13
“A Bayesian classifier was employed to predict the spatial bin occupied by the rat on the basis of the temporally binned neural data (Davidson et al., 2009).”
MethodCona, F., & Ursino, M. (2014) · Journal of Computational Neuroscience · doi:10.1007/s10827-014-0533-5 · Cited by 11
The subiculum sensitizes retrosplenial cortex layer 2/3 pyramidal neurons
Gao, M., Noguchi, A., & Ikegaya, Y. (2021) · The Journal of Physiology · doi:10.1113/jp281152 · Cited by 11
“Moreover, because SWRs often emerge as consecutive chains of multiple SWRs that persist for hundreds of milliseconds (Davidson et al. 2009), the unique properties of gRSC L2/3 neurons may allow them to respond more sensitively to multiple SWR chains and facilitate the propagation of hippocampal…”
BackgroundNeuronal sequences during theta rely on behavior-dependent spatial maps
Parra-Barrero, E., Diba, K., & Cheng, S. (2021) · eLife · doi:10.7554/elife.70296 · Cited by 12
Experience-driven rate modulation is reinstated during hippocampal replay
Tirole, M., Gorriz, M. H., Takigawa, M., Kukovska, L., & Bendor, D. (2022) · eLife · doi:10.7554/elife.79031 · Cited by 11
Reactivation of visual-evoked activity in human cortical networks
Chelaru, M. I., Hansen, B. J., Tandon, N., Conner, C. R., Szukalski, S., Slater, J. D., Kalamangalam, G. P., & Dragoi, V. (2016) · Journal of Neurophysiology · doi:10.1152/jn.00724.2015 · Cited by 11
Analysis of Hippocampal Memory Replay Using Neural Population Decoding
Kloosterman, F. (2011) · Neuromethods · doi:10.1007/7657_2011_8 · Cited by 12
Self-citationCBD lengthens sleep but shortens ripples and leads to intact simple but worse cumulative memory
Samanta, A., Aleman‐Zapata, A., Agarwal, K., Özsezer, P., Alonso, A., van der Meij, J., Rayan, A., Navarro‐Lobato, I., & Genzel, L. (2023) · iScience · doi:10.1016/j.isci.2023.108327 · Cited by 8
Mugan, U., Hoffman, S. L., & Redish, A. D. (2024) · Neuron · doi:10.1016/j.neuron.2024.10.004 · Cited by 13
Antonov, G. K., & Dayan, P. (2025) · Nature Communications · doi:10.1038/s41467-025-56731-y · Cited by 10
“The limited duration of SWRs could be a way of constraining themaximallength (horizon)of optimisingfor thesequential structure of replay 43 , and indeed extending the duration of SWRs has been shown to lead to improved memory performance 44 .”
A non-Hebbian code for episodic memory
Pang, R., & Recanatesi, S. (2025) · Science Advances · doi:10.1126/sciadv.ado4112 · Cited by 11
On Look-Ahead in Language: Navigating a Multitude of Familiar Paths
Edelman, S. (2011) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195395518.003.0060 · Cited by 12
“Replay in the rat hippocampus coincides with high-frequency " ripple " oscillations, which do not last long enough to represent long treks through the rat's environment, but, as shown by Davidson et al. (2009), are composed combinatorially, thus altering the behavioral meaning of the entire event.”
BackgroundInfluentialSpectrum of non-Hermitian deep-Hebbian neural networks
Jiang, Z., Chen, Z., Hou, T., & Huang, H. (2023) · Physical Review Research · doi:10.1103/physrevresearch.5.013090 · Cited by 11
Postnatal Maturation of Membrane Potential Dynamics duringin VivoHippocampal Ripples
Noguchi, A., Matsumoto, N., & Ikegaya, Y. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.0125-23.2023 · Cited by 12
The grammar of mammalian brain capacity
Rodriguez, A., & Granger, R. (2016) · Theoretical Computer Science · doi:10.1016/j.tcs.2016.03.021 · Cited by 11
Evidence for Long-Timescale Patterns of Synaptic Inputs in CA1 of Awake Behaving Mice
Kolb, I., Franzesi, G. T., Wang, M. C., Kodandaramaiah, S. B., Forest, C. R., Boyden, E. S., & Singer, A. C. (2017) · Journal of Neuroscience · doi:10.1523/jneurosci.1519-17.2017 · Cited by 10
“For example, in hippocampal CA3, sequential firing of neurons on the timescale of 100–300 ms (or up to (cid:2) 500 ms in extended replay; Davidson et al., 2009) reoccurs during behavior and during periods of quiescence (replay or re-activation, and preplay; Na´dasdy et al., 1999; Louie and Wilson,…”
BackgroundMartinez, R. H., Lansner, A., & Herman, P. A. (2019) · PLoS ONE · doi:10.1371/journal.pone.0220161 · Cited by 11
“, 2009), the hippocampus (Nádasdy et al., 1999; Pastalkova et al., 2008; Louie and Wilson, 2001; Davidson et al., 2009; MacDonald et al., 2013) and the HVC area in songbirds (Hahnloser et al.”
Mahr, J. B., & Fischer, B. (2022) · Perspectives on Psychological Science · doi:10.1177/17456916221120425 · Cited by 12
“…occur when an animal is resting (i.e., sleeping, eating, drinking, or pausing) and have been found to replay rats’ past trajectories through a maze (Davidson et al., 2009; Foster & Wilson, 2006) and to preplay possible future trajectories (Dragoi & Tonegawa, 2011, 2013), including paths that…”
BackgroundSlow Gamma Takes the Reins in Replay
Colgin, L. L. (2012) · Neuron · doi:10.1016/j.neuron.2012.08.006 · Cited by 10
“Carr et al. (2012) did not distinguish between forward and reverse replay, but it is likely that most of their measurements were taken during forward replay events, considering that forward replay occurs more often than reverse replay (Diba and Buzsáki, 2007; Davidson et al., 2009).”
BackgroundPyka, M., & Cheng, S. (2014) · PLoS ONE · doi:10.1371/journal.pone.0085016 · Cited by 11
Dabaghian, Y. A. (2016) · Neural Computation · doi:10.1162/neco_a_00840 · Cited by 13
Cazin, N., Scleidorovich, P., Weitzenfeld, A., & Dominey, P. F. (2020) · Biological Cybernetics · doi:10.1007/s00422-020-00820-2 · Cited by 9
A possible coding for experience: ripple-like events and synaptic diversityPreprint
Ishikawa, J., Tomokage, T., & Mitsushima, D. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2019.12.30.891259 · Cited by 10
“2007; Karlsson & Frank 2009; Davidson et al, 2009; Gupta et al, 2010; Wu et al, 2017), suggesting a role for these firings in representing the experienced sequence of the location.”
BackgroundPiray, P., & Daw, N. D. (2025) · Nature Communications · doi:10.1038/s41467-025-62733-7 · Cited by 16
“During periods of wakefulness, place cells exhibit rapid, sequenced reactivations known as awake replays 63 – 67 , which have been linked to planning 66,68 and structural inference 69 .”
Dorsoventral hippocampus neural assemblies reactivate during sleep following an aversive experience
Morici, J. F., Silva, A., Paiva, I. L., Pronier, É., & Girardeau, G. (2026) · Nature Neuroscience · doi:10.1038/s41593-026-02252-w · Cited by 12
Situationally appropriate behavior: translating situations into appetitive behavior modes
Behrendt, R. (2013) · Reviews in the Neurosciences · doi:10.1515/revneuro-2013-0037 · Cited by 9
“The hippocampus, forming and replaying sequences of place representations (Davidson et al., 2009), may be in a position to retrieve a sequence linking the animal’s present location or situation with that of a future location or situation.”
BackgroundInformation-Geometric Measures for Estimation of Connection Weight Under Correlated Inputs
Nie, Y., & Tatsuno, M. (2012) · Neural Computation · doi:10.1162/neco_a_00367 · Cited by 9
“... techniques have been developed and widely used in many electrophysiological research studies (Wilson & McNaughton, 1993; Riehle, Grun, Diesmann, & Aertsen, 1997; Chapin, Moxon, Markowitz, & Nicolelis, 1999; Hampson, Simeral, & Deadwyler, 1999; Kudrimoti, Barnes, & McNaughton, 1999; Laubach, Wessberg, & Nicolelis,…”
Sleep benefits different stages of memory in Drosophila
Marquand, K., Roselli, C., Cervantes-Sandoval, I., & Boto, T. (2023) · Frontiers in Physiology · doi:10.3389/fphys.2023.1087025 · Cited by 8
“versions of place cell sequences that correspond to preceding trajectories of the animals, particularly during sharp-wave ripples, has been reported (Lee and Wilson, 2002; Diba and Buzsaki, 2007; Davidson et al., 2009).”
BackgroundRusu, S. I., Bos, J. J., Marchesi, P., Lankelma, J. V., Pica, I. F., Gentet, L. J., Joëls, M., & Pennartz, C. M. A. (2024) · iScience · doi:10.1016/j.isci.2024.109205 · Cited by 7
“40,43,52,53 Similarly, fPRAT has a sequential structure where clockwise visits can be reinforced at six spatially distinct ports with variable reward contingencies.”
BackgroundDifferent propagation speeds of recalled sequences in plastic spiking neural networks
Huang, X., Zheng, Z., Hu, G., Wu, S., & Rasch, M. J. (2015) · New Journal of Physics · doi:10.1088/1367-2630/17/3/035006 · Cited by 8
Information-geometric measures estimate neural interactions during oscillatory brain states
Nie, Y., Fellous, J., & Tatsuno, M. (2014) · Frontiers in Neural Circuits · doi:10.3389/fncir.2014.00011 · Cited by 9
“ORIGINAL RESEARCH ARTICLE published: 24 February 2014 doi: 10.3389/fncir.2014.00011 Information-geometric measures estimate neural interactions during oscillatory brain states”
MethodInfluentialSparse Attentive Backtracking: Long-Range Credit Assignment in Recurrent NetworksPreprint
Ke, N. R., Goyal, A., Bilaniuk, O., Binas, J., Charlin, L., Pal, C., & Bengio, Y. (2017) · arXiv (Cornell University) · doi:10.48550/arxiv.1711.02326 · Cited by 10
“In particular, hippocampal recordings in rats indicate that brief sequences of prior experience are replayed both in the awake resting state and during sleep, both of which conditions are linked to memory consolidation and learning (Foster & Wilson, 2006; Davidson et al., 2009; Gupta et al., 2010).”
BackgroundEvaluating hippocampal replay without a ground truth
Takigawa, M., Gorriz, M. H., Tirole, M., & Bendor, D. (2024) · eLife · doi:10.7554/elife.85635 · Cited by 10
“…reactivation of a large proportion of place cells within a short time window (more than typically occurs during active behavior), a substantial increase in multiunit activity during immobility also provides a reasonable criterion for detecting candidate replay events (Davidson et al., 2009).”
Recurrent cortical networks encode natural sensory statistics via sequence filtering
Deveau, C. E., Zhou, Z., LaFosse, P. K., Deng, Y., Mirbagheri, S., Steinmetz, N. A., & Histed, M. H. (2026) · Neuron · doi:10.1016/j.neuron.2025.12.024 · Cited by 10
Hasselmo, M. E. (2015) · Progress in brain research · doi:10.1016/bs.pbr.2015.03.009 · Cited by 8
Experience alters hippocampal and cortical network communication via a KIBRA-dependent mechanism
Quigley, L. D., Pendry, R., Mendoza, M. L., Pfeiffer, B. E., & Volk, L. J. (2023) · Cell Reports · doi:10.1016/j.celrep.2023.112662 · Cited by 7
Farooq, U., & Dragoi, G. (2024) · Nature Communications · doi:10.1038/s41467-024-52758-9 · Cited by 10
“Hippocampal neuronal ensembles depict de-novo linear trajectories during sleep and awake rest after sphere-rearing During sleep and rest, neuronal sequences replay experienced 19,25,26 and preplay future novel 9,10 extended linear animal trajectories in a time-compressed manner.”
A hidden Markov model for decoding and the analysis of replay in spike trains
Box, M., Jones, M. W., & Whiteley, N. (2016) · Journal of Computational Neuroscience · doi:10.1007/s10827-016-0621-9 · Cited by 9
Bayesian nonparametric methods for discovering latent structures of rat hippocampal ensemble spikes
Chen, Z. S., Linderman, S. W., & Wilson, M. A. (2016) · Machine learning for signal processing ... · doi:10.1109/mlsp.2016.7738867 · Cited by 8
“2nd column: An example of hippocampal ensemble spikes during a post-SWS candidate event detected from hippocampal ripples, and decoded spatial or state sequences from a receptive-field based decoding method (3rd column, [7, 9]) and our proposed unsupervised HDP-HMM method (4th column).”
MethodSelf-citationOsanai, H., 北村, 貴., & Yamamoto, J. (2019) · Journal of Visualized Experiments · doi:10.3791/60028 · Cited by 9
Metadata
- Authors
- Davidson, T. J., Kloosterman, F., & Wilson, M. A.
- Affiliations
- Massachusetts Institute of Technology (US)
- Corresponding author
- Kloosterman, Fabian
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2009-08
- Volume
- 63
- Issue
- 4
- Pages
- 497-507
- ISSN
- 0896-6273 (ISSN-L)
- PMC
- PMC4364032
- OpenAlex
- W2079161053
- Cited by
- 806
- References
- 53
- Citations by year
- 2026: 41 · 2025: 54 · 2024: 68 · 2023: 57 · 2022: 56 · 2021: 65 · 2020: 49 · 2019: 72 · 2018: 42 · 2017: 41 · 2016: 49 · 2015: 42 · 2014: 57 · 2013: 40 · 2012: 26
- FWCI
- 11.45
- Type
- journal article
- Language
- en
- Open access
- bronze
- doi.org
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- www.elsevier.com/legal/tdmrep-license (tdm)
- www.elsevier.com/open-access/userlicense/1.0/ (vor, 1477 d)
- doi.org/10.15223/policy-017 (stm-asf)
- doi.org/10.15223/policy-037 (stm-asf)
- doi.org/10.15223/policy-012 (stm-asf)
- doi.org/10.15223/policy-029 (stm-asf)
- doi.org/10.15223/policy-004 (stm-asf)
- Locations
- Neuron (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- DSpace@MIT (Massachusetts Institute of Technology) (submittedVersion, cc-by-nc)
- Lirias (KU Leuven) (submittedVersion)
- Funders
- National Institutes of Health (MH061976)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Developmental Neuroscience › Neurogenesis and neuroplasticity mechanisms
- Keywords
- hippocampal replay, place cells, spatial memory, neural decoding, memory storage
- MeSH terms
- Animals, Exploratory Behavior, Hippocampus, Learning, Male, Spatial Behavior, Time Factors, Rats, Long-Evans, Rats
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