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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Reactivation of task-relevant regions was particularly prominent during sleep oscillatory events linked to memory consolidation, such as spindles and SOs.
“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]
The Discussion (page not provided) reports coordinated memory reactivation in the hippocampus and visual cortex during sleep up-states associated with slow oscillations. It does not say that reactivation was particularly prominent during spindles, or establish the claimed prominence across both types of event. (LLM, conf=0.86)
Experimental — accuracy not yet measuredBoth sleep and wake replay can represent knowledge about an environment and share anticipatory features, including offline pre-activations of trajectories entailing visible but yet unexplored paths and locations.
“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]
The Discussion (page unavailable) says awake replay can express stored trajectories remote from the rat and resembles sequence reactivation during slow-wave sleep. It also suggests replay may represent possible future paths. But the paper describes these as stored sequences on a track the rats had explored; it does not establish pre-activation of paths or locations they had not yet explored, in either sleep or wake replay. (LLM, conf=0.86)
Experimental — accuracy not yet measuredSpindle activity is increased over cortical regions involved in prior learning, positively correlates with post-sleep retrieval performance, and appears to accompany memory reactivations during sleep.
“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]
The Discussion reports coordinated memory reactivation in the hippocampus and visual cortex during slow-wave-sleep up-states, alongside hippocampal ripples. It does not say that spindle activity accompanies those reactivations; spindles appear only in cited reference titles. The earlier claims about learning-related cortical increases and retrieval performance are attached to different citations. (LLM, conf=0.82)
Experimental — accuracy not yet measuredReactivations of hippocampal cell firing patterns occur also during waking when the animal rests after task performance or during brief pauses of active behavior.
“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]
In larger experimental environments, both forward and reverse replay can occur over multiple SW-R events thereby covering longer distances.
“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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“In larger experimental environments, both forward and reverse replay can occur over multiple SW-R events thereby covering longer distances (268).”
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“However, we now know that reactivations occur outside of sleep, i.e., in quiet wakefulness (Davidson et al., 2009; Diba and Buzsáki, 2007; Foster and Wilson, 2006; Karlsson and Frank, 2009; Kudrimoti et al., 1999), during initial learning (Singer et al., 2013), and during many states of cortical…”
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“Examination of hippocampal activity during exploration of a larger environment revealed that both forward and reverse replay events can span long distances and extend across multiple SWR”
BackgroundAwake hippocampal sharp-wave ripples support spatial memory
Jadhav, S. P., Kemere, C., German, P. W., & Frank, L. M. (2012) · Science · doi:10.1126/science.1217230 · Cited by 924 · see citing works
Characterizing the dynamics of mental representations: the temporal generalization method
King, J.-R., & Dehaene, S. (2014) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2014.01.002 · Cited by 896 · see citing works
Viewpoints: how the hippocampus contributes to memory, navigation and cognition
Lisman, J., Buzsáki, G., Eichenbaum, H., Nadel, L., Ranganath, C., & Redish, A. D. (2017) · Nature Neuroscience · doi:10.1038/nn.4661 · Cited by 851 · see citing works
Hippocampal replay is not a simple function of experience
Gupta, A. S., van der Meer, M. A. A., Touretzky, D. S., & Redish, A. D. (2010) · Neuron · doi:10.1016/j.neuron.2010.01.034 · Cited by 733 · see citing works
“Whereas previous studies (Wil- son and McNaughton, 1994; Jackson et al., 2006; O’Neill et al., 2006; Karlsson and Frank, 2009) have found increasing replay with experience, these studies did not compare tasks with different behavioral requirements in which parts of the environment were experienced more than others.”
BackgroundInfluentialPreplay of future place cell sequences by hippocampal cellular assemblies
Dragoi, G., & Tonegawa, S. (2011) · Nature · doi:10.1038/nature09633 · Cited by 716 · see citing works
Navigating cognition: Spatial codes for human thinking
Bellmund, J. L. S., Gärdenfors, P., Moser, E. I., & Doeller, C. F. (2018) · Science · doi:10.1126/science.aat6766 · Cited by 643 · see citing works
“During replay sequences, place cells maintain their spatial relationships to each other (55, 109), resulting in trajectories through space occurring both in forward and reverse order (109, 110).”
BackgroundSquire, L. R., Genzel, L., Wixted, J. T., & Morris, R. G. (2015) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a021766 · Cited by 700 · see citing works
“2010), and longer memories seem to be replayed across multiple sharp wave ripples (Davidson et al. 2009).”
Josselyn, S. A., Köhler, S., & Frankland, P. W. (2015) · Nature reviews. Neuroscience · doi:10.1038/nrn4000 · Cited by 687 · see citing works
The Restless Engram: Consolidations Never End
Dudai, Y. (2012) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-062111-150500 · Cited by 644 · see citing works
“The presumed “reading out” in the SWR is accompanied by compression of the replay (Nadasdy et al. 1999, Euston et al. 2007, Ji & Wilson 2007); in other words, the postulated representation is played in “fast forward” (and, as noted below, under certain circumstances in “fast backward”).”
BackgroundInfluentialRhythms of the hippocampal network
Colgin, L. L. (2016) · Nature reviews. Neuroscience · doi:10.1038/nrn.2016.21 · Cited by 654 · see citing works
Human replay spontaneously reorganizes experience
Liu, Y., Dolan, R. J., Kurth-Nelson, Z., & Behrens, T. E. J. (2019) · Cell · doi:10.1016/j.cell.2019.06.012 · Cited by 497 · see citing works
“The rest period was intended to be analogous to the awake resting periods in rodent studies in which hippocampal replay has been observed in spatial tasks (Davidson et al., 2009; Foster and Wilson, 2006; Karlsson and Frank, 2009).”
BackgroundLong-duration hippocampal sharp wave ripples improve memory
Fernández-Ruiz, A., Oliva, A., Fermino de Oliveira, E., Rocha-Almeida, F., Tingley, D., & Buzsáki, G. (2019) · Science · doi:10.1126/science.aax0758 · Cited by 490 · see citing works
The hippocampal sharp wave-ripple in memory retrieval for immediate use and consolidation
Joo, H. R., & Frank, L. M. (2018) · Nature Reviews Neuroscience · doi:10.1038/s41583-018-0077-1 · Cited by 430 · see citing works
Play it again: reactivation of waking experience and memory
O’Neill, J., Pleydell-Bouverie, B., Dupret, D., & Csicsvari, J. L. (2010) · Trends in Neurosciences · doi:10.1016/j.tins.2010.01.006 · Cited by 448 · see citing works
Rewarded Outcomes Enhance Reactivation of Experience in the Hippocampus
Singer, A. C., & Frank, L. M. (2009) · Neuron · doi:10.1016/j.neuron.2009.11.016 · Cited by 385 · see citing works
“In particular, reactivation during pauses in waking behavior frequently results in the sequential activity of place cells active on paths to or from the animal’s current location (Foster and Wilson, 2006; Diba and Buzsáki, 2007; Karlsson and Frank, 2009; Davidson et al., 2009).”
InfluentialDiversity in neural firing dynamics supports both rigid and learned hippocampal sequences
Grosmark, A. D., & Buzsáki, G. (2016) · Science · doi:10.1126/science.aad1935 · Cited by 367 · see citing works
“First, a spatial Bayesian decoder (2), constructed from the firing-rate vectors of place cells (n = 491 cells) during track running (eight novel exploration sessions), was applied to all candidate ripple events (21) (figs.”
InfluentialFoster, D. J. (2017) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-072116-031538 · Cited by 375 · see citing works
“This is particularly striking in the Davidson et al. (2009) study, in which replay can take 700 ms to wend its way around a bendy track without ever seeming to jump between physically close (but uncrossable) points, but this has been just as true in every experiment we are aware of.”
BackgroundMethodResultInfluentialThe Role of Hippocampal Replay in Memory and Planning
Ólafsdóttir, H. F., Bush, D., & Barry, C. (2018) · Current Biology · doi:10.1016/j.cub.2017.10.073 · Cited by 413 · see citing works
“Indeed, the typical duration of a replay event varies between 100 and 300ms [47,56,57], a 20 times increase in speed over the actual experience [58] — though replayed trajectories occurring during REM sleep progress at a more natural speed [59].”
BackgroundMethodInfluentialBiasing the content of hippocampal replay during sleep
Bendor, D., & Wilson, M. A. (2012) · Nature Neuroscience · doi:10.1038/nn.3203 · Cited by 359 · see citing works
Self-citationBuzsáki, G. (2019) · doi:10.1093/oso/9780190905385.001.0001 · Cited by 358 · see citing works
Sleep—A brain-state serving systems memory consolidation
Brodt, S., Inostroza, M., Niethard, N., & Born, J. (2023) · Neuron · doi:10.1016/j.neuron.2023.03.005 · Cited by 343 · see citing works
Recurrent network models of sequence generation and memory
Rajan, K., Harvey, C. D., & Tank, D. W. (2016) · Neuron · doi:10.1016/j.neuron.2016.02.009 · Cited by 351 · see citing works
“…et al., 2008; Crowe et al., 2010; Harvey et al., 2012), hippocampus (Na´dasdy et al., 1999; Louie and Wilson, 2001; Pastalkova et al., 2008; Davidson et al., 2009), basal ganglia (Barnes et al., 2005; Jin et al., 2009), cerebellum (Mauk and Buonomano, 2004), and area HVC of the songbird…”
BackgroundHippocampal ripples and memory consolidation
Girardeau, G., & Zugaro, M. (2011) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2011.02.005 · Cited by 330 · see citing works
Prioritized memory access explains planning and hippocampal replay
Mattar, M. G., & Daw, N. D. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0232-z · Cited by 393 · see citing works
Hippocampal place cells construct reward related sequences through unexplored space
Ólafsdóttir, H. F., Barry, C., Saleem, A. B., Hassabis, D., & Spiers, H. J. (2015) · eLife · doi:10.7554/elife.06063 · Cited by 319 · see citing works
“Finally, to corroborate the results obtained from the rank-order analysis of spike sequences, we applied a Bayesian spatial reconstruction algorithm (Davidson et al., 2009; Bendor and Wilson, 2012) to the data from the two rest sessions.”
MethodInfluentialSegmentation of spatial experience by hippocampal theta sequences
Gupta, A. S., van der Meer, M. A. A., Touretzky, D. S., & Redish, A. D. (2012) · Nature Neuroscience · doi:10.1038/nn.3138 · Cited by 352 · see citing works
Reverse replay of hippocampal place cells is uniquely modulated by changing reward
Ambrose, R. E., Pfeiffer, B. E., & Foster, D. J. (2016) · Neuron · doi:10.1016/j.neuron.2016.07.047 · Cited by 292 · see citing works
The Role of the Hippocampus in Prediction and Imagination
Buckner, R. L. (2010) · Annual Review of Psychology · doi:10.1146/annurev.psych.60.110707.163508 · Cited by 419 · see citing works
“They noted that “the real importance of mental time travel applies to travel into the future rather than the past; that is, we predominantly stand in the present facing the future rather than looking back to the past.””
BackgroundInfluentialMachine Learning for Neural Decoding
Glaser, J. I., Benjamin, A. S., Chowdhury, R. H., Perich, M. G., Miller, L. E., & Kording, K. P. (2020) · eNeuro · doi:10.1523/eneuro.0506-19.2020 · Cited by 338 · see citing works
“, 2003; Ibos and Freedman, 2017), and spatial locations based on activity in the hippocampus (Zhang et al., 1998; Davidson et al., 2009).”
BackgroundUsing Grid Cells for Navigation
Bush, D., Barry, C., Manson, D., & Burgess, N. (2015) · Neuron · doi:10.1016/j.neuron.2015.07.006 · Cited by 334 · see citing works
“…predicts the sequential activation of bands of grid cells that share a common phase on a specific 1D axis during route planning, analogous to place cell replay and preplay events (Foster and Wilson, 2006; Davidson et al., 2009; Pfeiffer and Foster, 2013; see S.G. Trettel and L.L. Colgin, 2014, Soc.”
BackgroundAttractor and integrator networks in the brain
Khona, M., & Fiete, I. (2022) · Nature reviews. Neuroscience · doi:10.1038/s41583-022-00642-0 · Cited by 314 · see citing works
“At the same time, place cells exhibit sequential activation of previous trajectories during activity replay [208, 219, 220, 221], which is hypothesized to be generated by recurrent connections in CA3, suggesting that recurrent and feedforward dynamics collaborate in the generation of place cell states; recent models a…”
BackgroundIntracellular Determinants of Hippocampal CA1 Place and Silent Cell Activity in a Novel Environment
Epsztein, J., Brecht, M., & Lee, A. K. (2011) · Neuron · doi:10.1016/j.neuron.2011.03.006 · Cited by 306 · see citing works
“Does this mean that a fixed fraction of cells will have place fields regardless of the size of the environment?While fewer cells may express place fields in smaller and/or simpler mazes (Thompson and Best, 1989), in larger environments the number of place cells appears to be limited, with additional spatial coverage a…”
BackgroundConstant Sub-second Cycling between Representations of Possible Futures in the Hippocampus
Kay, K., Chung, J. E., Sosa, M., Schor, J. S., Karlsson, M. P., Larkin, M. C., Liu, D. F., & Frank, L. M. (2020) · Cell · doi:10.1016/j.cell.2020.01.014 · Cited by 296 · see citing works
Social place-cells in the bat hippocampus
Omer, D. B., Maimon, S. R., Las, L., & Ulanovsky, N. (2018) · Science · doi:10.1126/science.aao3474 · Cited by 280 · see citing works
Varela, C., Kumar, S., Yang, J. Y., & Wilson, M. A. (2014) · Brain Structure and Function · doi:10.1007/s00429-013-0543-5 · Cited by 277 · see citing works
“In addition, ripple events can occur in groups (ripple bursts), in which ensembles of place cells represent extended exploratory behavior (Davidson et al. 2009).”
BackgroundSelf-citationEgocentric coding of external items in the lateral entorhinal cortex
Wang, C., Chen, X., Lee, H., Deshmukh, S. S., Yoganarasimha, D., Savelli, F., & Knierim, J. J. (2018) · Science · doi:10.1126/science.aau4940 · Cited by 276 · see citing works
Hippocampal sharp-wave ripples linked to visual episodic recollection in humans
Norman, Y., Yeagle, E. M., Khuvis, S., Harel, M., Mehta, A. D., & Malach, R. (2019) · Science · doi:10.1126/science.aax1030 · Cited by 270 · see citing works
“Work in rodents exploring the link between awake SWRs and putative memory retrieval behaviors has demonstrated that sequences of hippocampal place cell assemblies, representing spatial and contextual information related to past experiences, are briefly replayed in the time window of the SWR (32, 34, 35, 41, 57).”
BackgroundSinger, A. C., Carr, M. F., Karlsson, M. P., & Frank, L. M. (2013) · Neuron · doi:10.1016/j.neuron.2013.01.027 · Cited by 270 · see citing works
“These reactivation events frequently replay entire behavioral trajectories representing either past or possible future locations (Foster and Wilson, 2006; Diba and Buzsáki, 2007; Davidson et al., 2009; Karlsson and Frank, 2009; Gupta et al., 2010) and reactivation strength during and after an experience correlates wit…”
InfluentialFiete, I., Senn, W., Wang, C. Z.-H., & Hahnloser, R. H. R. (2010) · Neuron · doi:10.1016/j.neuron.2010.02.003 · Cited by 269 · see citing works
“Similarly, it remains unknown how multiple neural subsequences of varying length (Tanji, 2001; Wang et al., 2008; Davidson et al., 2009) are formed.”
BackgroundInfluentialFunctional and structural underpinnings of neuronal assembly formation in learning
Holtmaat, A., & Caroni, P. (2016) · Nature Neuroscience · doi:10.1038/nn.4418 · Cited by 239 · see citing works
Cushman, F. A. (2019) · Behavioral and Brain Sciences · doi:10.1017/s0140525x19001730 · Cited by 268 · see citing works
Transient Slow Gamma Synchrony Underlies Hippocampal Memory Replay
Carr, M. F., Karlsson, M. P., & Frank, L. M. (2012) · Neuron · doi:10.1016/j.neuron.2012.06.014 · Cited by 255 · see citing works
“…a goodness-of-fit measure of the relationship between the temporal order of firing in the SWR and the associated decoded position in space, and a p value that assesses the likelihood of observing the R 2 value given the observed spikes (Figure S6) (Davidson et al., 2009; Karlsson and Frank, 2009).”
InfluentialPersistence of hippocampal multivoxel patterns into postencoding rest is related to memory
Tambini, A., & Davachi, L. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1308499110 · Cited by 230 · see citing works
High frequency oscillations in the intact brain
Buzsáki, G., & Lopes, F. H. D. S. (2012) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2012.02.004 · Cited by 247 · see citing works
Jadhav, S. P., Rothschild, G., Roumis, D. K., & Frank, L. M. (2016) · Neuron · doi:10.1016/j.neuron.2016.02.010 · Cited by 250 · see citing works
“These bursts often ''replay'' sequences from behavior (Kudrimoti et al., 1999; Foster and Wilson, 2006; Diba and Buzsá ki, 2007; Davidson et al., 2009; Karlsson and Frank, 2009; Gupta et al., 2010; Pfeiffer and Foster, 2013), suggesting that these sequences could support awake memory processes…”
BackgroundTime cells in the human hippocampus and entorhinal cortex support episodic memory
Umbach, G. S., Kantak, P. A., Jacobs, J., Kahana, M. J., Pfeiffer, B. E., Sperling, M. R., & Lega, B. C. (2020) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2013250117 · Cited by 236 · see citing works
“We identified these as units with a firing rate of less than 5 Hz (8, 62, 63) and with a “wide” (>0.”
Internally generated sequences in learning and executing goal-directed behavior
Pezzulo, G., van der Meer, M. A. A., Lansink, C. S., & Pennartz, C. M. A. (2014) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2014.06.011 · Cited by 217 · see citing works
An opportunistic theory of cellular and systems consolidation
Mednick, S. C., Cai, D. J., Shuman, T., Anagnostaras, S., & Wixted, J. T. (2011) · Trends in Neurosciences · doi:10.1016/j.tins.2011.06.003 · Cited by 267 · see citing works
Distinct preplay of multiple novel spatial experiences in the rat
Dragoi, G., & Tonegawa, S. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1306031110 · Cited by 234 · see citing works
“The best linear fit was calculated for each event (12) as the preplay score corresponding to the mean estimated likelihood that the animal was on the preplayed trajectory.”
BackgroundMethodInfluentialUnraveling the evolutionary determinants of sleep
Joiner, W. J. (2016) · Current Biology · doi:10.1016/j.cub.2016.08.068 · Cited by 232 · see citing works
Shin, J. D., Tang, W., & Jadhav, S. P. (2019) · Neuron · doi:10.1016/j.neuron.2019.09.012 · Cited by 199 · see citing works
“47 cm) was comparable to previous reports (Ambrose et al., 2016; Davidson et al., 2009; Farooq and Dragoi, 2019; O’Neill et al., 2017).”
BackgroundMethodResultInfluentialHippocampal awake replay in fear memory retrieval
Wu, C.-T., Haggerty, D., Kemere, C., & Ji, D. (2017) · Nature Neuroscience · doi:10.1038/nn.4507 · Cited by 210 · see citing works
“4a,b), as in previous studies 16,17,34 .”
InfluentialA hippocampal network for spatial coding during immobility and sleep
Kay, K., Sosa, M., Chung, J. E., Karlsson, M. P., Larkin, M. C., & Frank, L. M. (2016) · Nature · doi:10.1038/nature17144 · Cited by 224 · see citing works
VTA neurons coordinate with the hippocampal reactivation of spatial experience
Gomperts, S. N., Kloosterman, F., & Wilson, M. A. (2015) · eLife · doi:10.7554/elife.05360 · Cited by 191 · see citing works
“To test if fitted trajectories could be expected by chance alignment of position estimates, the replay score for each candidate event was compared to replay score distributions derived with two shuffles of the data, using the approach described in (Davidson et al., 2009).”
MethodInfluentialSelf-citationRemote Memory and the Hippocampus: A Constructive Critique
Barry, D. N., & Maguire, E. A. (2018) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2018.11.005 · Cited by 196 · see citing works
Fast Sequences of Non-spatial State Representations in Humans
Kurth-Nelson, Z. L., Economides, M., Dolan, R. J., & Dayan, P. (2016) · Neuron · doi:10.1016/j.neuron.2016.05.028 · Cited by 206 · see citing works
“200 Neuron 91, 194–204, July 6, 2016 rent location of the animal (Diba and Buzsáki, 2007; Foster and Wilson, 2006) but also encode trajectories that do not include the current location of the animal (Davidson et al., 2009; Gupta et al., 2010; Karlsson and Frank, 2009).”
Chronic <i>in vivo</i> stability assessment of carbon fiber microelectrode arrays
Patel, P. R., Zhang, H., Robbins, M. T., Nofar, J. B., Marshall, S. P., Kobylarek, M. J., Kozai, T. D. Y., Kotov, N. A., & Chestek, C. A. (2016) · Journal of Neural Engineering · doi:10.1088/1741-2560/13/6/066002 · Cited by 204 · see citing works
Hippocampal Replay Captures the Unique Topological Structure of a Novel Environment
Wu, X., & Foster, D. J. (2014) · The Journal of Neuroscience · doi:10.1523/jneurosci.3414-13.2014 · Cited by 201 · see citing works
“Directional place fields were calculated and were used to compute joint posterior probabilities over both position and direction (Davidson et al., 2009), for the already identified replays.”
BackgroundMethodInfluentialA Topological Paradigm for Hippocampal Spatial Map Formation Using Persistent Homology
Dabaghian, Y. A., Mémoli, F., Frank, L. M., & Carlsson, G. (2012) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1002581 · Cited by 197 · see citing works
“We ignore place cell firing that occurs because of the internal dynamics of the hippocampal network (such as reactivation of past experience [23]).”
BackgroundKatona, L., Lapray, D., Viney, T. J., Oulhaj, A., Borhegyi, Z., Micklem, B. R., Klausberger, T., & Somogyi, P. (2014) · Neuron · doi:10.1016/j.neuron.2014.04.007 · Cited by 169 · see citing works
Hippocampal replay reflects specific past experiences rather than a plan for subsequent choice
Gillespie, A. K., Maya, D. A., Denovellis, E. L., Liu, D. F., Kastner, D. B., Coulter, M. E., Roumis, D. K., Eden, U. T., & Frank, L. M. (2021) · Neuron · doi:10.1016/j.neuron.2021.07.029 · Cited by 192 · see citing works
Memory trace replay: The shaping of memory consolidation by neuromodulation
Atherton, L. A., Dupret, D., & Mellor, J. R. (2015) · Trends in Neurosciences · doi:10.1016/j.tins.2015.07.004 · Cited by 180 · see citing works
Awake Reactivation of Prior Experiences Consolidates Memories and Biases Cognition
Tambini, A., & Davachi, L. (2019) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2019.07.008 · Cited by 180 · see citing works
Temporal and Rate Coding for Discrete Event Sequences in the Hippocampus
Terada, S., Sakurai, Y., Nakahara, H., & Fujisawa, S. (2017) · Neuron · doi:10.1016/j.neuron.2017.05.024 · Cited by 180 · see citing works
“We also investigated the theta sequences of cell assemblies in the trials using a Bayesian decoding technique (Zhang et al., 1998; Davidson et al., 2009; Feng et al., 2015).”
MethodActivity recall in a visual cortical ensemble
Xu, S., Jiang, W.-C., Poo, M., & Dan, Y. (2012) · Nature Neuroscience · doi:10.1038/nn.3036 · Cited by 181 · see citing works
“Of note, the duration of the replayed spike sequence in those experiments is also determined by the duration of the sharp wave ripple rather than reflecting the highly irregular behavior of the rat on the running track, suggesting that the sequence rather than time course of the experience is reactivate”
BackgroundTrajectory events across hippocampal place cells require previous experience
Silva, D., Feng, T., & Foster, D. J. (2015) · Nature Neuroscience · doi:10.1038/nn.4151 · Cited by 183 · see citing works
“To control for population differences in instantaneous place representation not captured by individual place fields, we performed Bayesian position decoding during running behavior 24 .”
InfluentialThe content of hippocampal “replay”
Pfeiffer, B. E. (2017) · Hippocampus · doi:10.1002/hipo.22824 · Cited by 172 · see citing works
“…signature of coherent, temporally structured population-level events within the hippocampus in which the pattern of neural activity often appears to encode behaviorally relevant information on a compressed timescale (Davidson et al., 2009; Foster & Wilson, 2006; Lee & Wilson, 2002) (Figure F11).”
BackgroundResultInfluentialSuperficial layers of the medial entorhinal cortex replay independently of the hippocampus
O’Neill, J., Boccara, C. N., Stella, F., Schoenenberger, P., & Csicsvari, J. (2017) · Science · doi:10.1126/science.aag2787 · Cited by 177 · see citing works
Large environments reveal the statistical structure governing hippocampal representations
Rich, P. D., Liaw, H.-P., & Lee, A. K. (2014) · Science · doi:10.1126/science.1255635 · Cited by 177 · see citing works
“Wild rats have home ranges typically up to 50 m across, sometimes extending to hundreds of meters (11), and in larger laboratory environments (up to 18 m long or 3 m(2)) more neurons are recruited to be place cells, many cells have multiple fields, and place fields are wider (12-14).”
BackgroundFeng, T., Silva, D., & Foster, D. J. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.2614-14.2015 · Cited by 177 · see citing works
“A memoryless probability-based decoding algorithm was used to estimate the animal’s position based on the directional place fields and the spike trains (Davidson et al., 2009; Pfeiffer and Foster, 2013).”
BackgroundMethodResultInfluentialThe Neurobiology of Mammalian Navigation
Poulter, S. L., Hartley, T., & Lever, C. (2018) · Current Biology · doi:10.1016/j.cub.2018.05.050 · Cited by 171 · see citing works
“What exactly is being planned in replay episodes? Intriguingly, trajectory distance correlates strongly with the total duration of its replay (with concatenated ripple events for long trajectories) [175,176].”
Alternating sequences of future and past behavior encoded within hippocampal theta oscillations
Wang, M., Foster, D. J., & Pfeiffer, B. E. (2020) · Science · doi:10.1126/science.abb4151 · Cited by 175 · see citing works
Autoassociative dynamics in the generation of sequences of hippocampal place cells
Pfeiffer, B. E., & Foster, D. J. (2015) · Science · doi:10.1126/science.aaa9633 · Cited by 174 · see citing works
Hippocampal sharp-wave ripples in waking and sleeping states
Roumis, D. K., & Frank, L. M. (2015) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2015.05.001 · Cited by 155 · see citing works
Consolidation of complex events via reinstatement in posterior cingulate cortex
Bird, C. M., Keidel, J. L., Ing, L. P., Horner, A. J., & Burgess, N. (2015) · The Journal of Neuroscience · doi:10.1523/jneurosci.1774-15.2015 · Cited by 145 · see citing works
“Neuronal reinstatement relating to consolidation has been described in rodents (Davidson et al., 2009; Karlsson and Frank, 2009; Foster and Wilson, 2006) and Received May 7, 2015; revised Aug. 20, 2015; accepted Aug. 31, 2015.”
BackgroundConsolidation of human skill linked to waking hippocampo-neocortical replay
Buch, E. R., Claudino, L., Quentin, R., Bönstrup, M., & Cohen, L. G. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.109193 · Cited by 169 · see citing works
“This is consistent with the range of compressions previously reported in animal models as well as in humans (Davidson et al., 2009; Liu et al., 2019), and it is too fast to be explained by mental rehearsal or motor imagery processes, which share a veridical duration with executed behavior (in this case, 1,000 to 2,500…”
BackgroundFostering students’ creative thinking skills by means of a one-year creativity training program
Ritter, S. M., Gu, X., Crijns, M., & Biekens, P. (2020) · PLoS ONE · doi:10.1371/journal.pone.0229773 · Cited by 165 · see citing works
Spatial Sequence Coding Differs during Slow and Fast Gamma Rhythms in the Hippocampus
Zheng, C., Bieri, K. W., Hsiao, Y., & Colgin, L. L. (2016) · Neuron · doi:10.1016/j.neuron.2015.12.005 · Cited by 160 · see citing works
“For each sequence, we circularly shifted the probability distribution of estimated positions by a random distance at each time bin 1,000 times (the same as the ''column-cycle'' shuffle described in Davidson et al., 2009 for sharp wave-associated sequences).”
MethodAwake hippocampal reactivations project onto orthogonal neuronal assemblies
Malvache, A., Reichinnek, S., Villette, V., Haimerl, C., & Cossart, R. (2016) · Science · doi:10.1126/science.aaf3319 · Cited by 163 · see citing works
Sadowski, J. H. L. P., Jones, M. W., & Mellor, J. R. (2016) · Cell Reports · doi:10.1016/j.celrep.2016.01.061 · Cited by 159 · see citing works
“9 Discussion Place cell firing sequences are reactivated at compressed timescales during hippocampal SWRs (Nadasdy et al., 1999; Lee and Wilson, 2002; Foster and Wilson, 2006; Diba and Buzsaki, 2007; Davidson et al., 2009; Karlsson and Frank, 2009), generating conditions compatible with induction of STDP (Bi and Poo,…”
MethodRethinking retrosplenial cortex: Perspectives and predictions
Alexander, A. S., Place, R., Starrett, M. J., Chrastil, E. R., & Nitz, D. A. (2022) · Neuron · doi:10.1016/j.neuron.2022.11.006 · Cited by 157 · see citing works
Emergence of preconfigured and plastic time-compressed sequences in early postnatal development
Farooq, U., & Dragoi, G. (2019) · Science · doi:10.1126/science.aav0502 · Cited by 131 · see citing works
Direct Medial Entorhinal Cortex Input to Hippocampal CA1 Is Crucial for Extended Quiet Awake Replay
Yamamoto, J., & Tonegawa, S. (2017) · Neuron · doi:10.1016/j.neuron.2017.09.017 · Cited by 152 · see citing works
“With around 100 recorded single units from dorsal CA1 in each mouse (Figure S3C, 103±14 single units/mouse per 12 tetrode microdrive), we were able to estimate the animal’s position using the Bayesian decoding method (Davidson et al., 2009; Carr et al., 2011; Pfeiffer and Foster, 2013) during the RUN session in both C…”
InfluentialSosa, M., & Giocomo, L. M. (2021) · Nature reviews. Neuroscience · doi:10.1038/s41583-021-00479-z · Cited by 142 · see citing works
Mechanisms of Action and Persistent Neuroplasticity by Drugs of Abuse
Korpi, E. R., den Hollander, B., Farooq, U., Vashchinkina, E., Rajkumar, R., Nutt, D. J., Hyytiä, P., & Dawe, G. S. (2015) · Pharmacological Reviews · doi:10.1124/pr.115.010967 · Cited by 148 · see citing works
“These sequences are replayed during subsequent sleep and quiet wakefulness, which are proposed to consolidate this memory (Skaggs and McNaughton, 1996; Davidson et al., 2009).”
BackgroundNREM sleep in the rodent neocortex and hippocampus reflects excitable dynamics
Levenstein, D., Buzsáki, G., & Rinzel, J. (2019) · Nature Communications · doi:10.1038/s41467-019-10327-5 · Cited by 148 · see citing works
Norman, Y., Raccah, O., Liu, S., Parvizi, J., & Malach, R. (2021) · Neuron · doi:10.1016/j.neuron.2021.06.020 · Cited by 140 · see citing works
“Extant evidence from animal studies suggests a role for SWRs in the reactivation of mnemonic information (Davidson et al., 2009; Karlsson and Frank, 2009; Peyrache et al., 2009; Shin et al., 2019; Takahashi, 2015; Wu et al., 2017) and offline consolidation of rodents’ spatial (Ego-Stengel and Wilson, 2010; Fernández-R…”
BackgroundPapale, A. E., Zielinski, M. C., Frank, L. M., Jadhav, S. P., & Redish, A. D. (2016) · Neuron · doi:10.1016/j.neuron.2016.10.028 · Cited by 139 · see citing works
“…of possible future options (Pfeiffer and Foster, 2013; Singer et al., 2013), but SWR sequences also encode paths unrelated to immediate options (Davidson et al., 2009; Gupta et al., 2010) or even to the immediate task at hand (Jackson et al., 2006; Karlsson and Frank, 2009), and the prevalence…”
BackgroundInfluentialYaffe, R. B., Kerr, M. S. D., Damera, S. R., Sarma, S. V., Inati, S. K., & Zaghloul, K. A. (2014) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1417017112 · Cited by 144 · see citing works
“However, another possibility is that the observed temporal compression complements previous studies suggesting that retrieval reactivates internal representations of an experience on a faster timescale than the original experience (33, 34).”
ResultGamma-range synchronization of fast-spiking interneurons can enhance detection of tactile stimuli
Siegle, J. H., Pritchett, D. L., & Moore, C. I. (2014) · Nature Neuroscience · doi:10.1038/nn.3797 · Cited by 135 · see citing works
Replay of behavioral sequences in the medial prefrontal cortex during rule switching
Kaefer, K., Nardin, M., Blahna, K., & Csicsvari, J. (2020) · Neuron · doi:10.1016/j.neuron.2020.01.015 · Cited by 120 · see citing works
“Robustness of mPFC Trajectory Replay Events In addition to the decoding probability and smoothness scores, we used further measures to detect significant trajectory replay events (Davidson et al., 2009; Gupta et al., 2010).”
BackgroundMethodThe hippocampus: hub of brain network communication for memory
Battaglia, F. P., Benchenane, K., Sirota, A., Pennartz, C. M. A., & Wiener, S. I. (2011) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2011.05.008 · Cited by 351 · see citing works
- 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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