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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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Cites
(1978) · UA Campus Repository (The University of Arizona) · Cited by 8,010
Mental Rotation of Three-Dimensional Objects
Shepard, R. N., & Metzler, J. (1971) · Science · doi:10.1126/science.171.3972.701 · Cited by 6,246
The hippocampus as a spatial map. Preliminary evidence from unit activity in the freely-moving rat
O'Keefe, J., & Dostrovsky, J. (1971) · Brain Research · doi:10.1016/0006-8993(71)90358-1 · Cited by 6,151 · cited 1×
“Place cells in the hippocampal formation fire selectively when an animal moves through particular locations (‘‘place fields’’) in the environment (O’Keefe and Dostrovsky, 1971; Wilson and McNaughton, 1993).”
Bootstrap Methods and Their Application
Loughin, T. M., Davison, A. C., & HINKLEY, D. V. (1999) · Journal of the American Statistical Association · doi:10.2307/2669707 · Cited by 5,478
The hippocampus as a cognitive map
Passingham, R. E. (1979) · Neuroscience · doi:10.1016/0306-4522(79)90015-0 · Cited by 5,128
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 3×
“…replay detection in the decoded spatial domain affords advantages over methods that examine firing order across individual units, such as pair-wise correlation (Wilson and McNaughton, 1994) and spike-sequence detection (Diba and Buzsáki, 2007; Foster and Wilson, 2006; Lee and Wilson, 2004).”
Self-citationBuckner, R. L., & Carroll, D. C. (2007) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2006.11.004 · Cited by 2,691
Remembering the past to imagine the future: the prospective brain
Schacter, D. L., Addis, D. R., & Buckner, R. L. (2007) · Nature Reviews Neuroscience · doi:10.1038/nrn2213 · Cited by 2,394 · cited 2×
“This interpretation of the functional role of awake replay is also consistent with work suggesting a high degree of overlap in the cognitive processes supporting both episodic recall and the evaluation of future events in humans (Buckner and Carroll, 2007; Schacter et al., 2007).”
InfluentialDynamics of the Hippocampal Ensemble Code for Space
Wilson, M. A., & McNaughton, B. L. (1993) · Science · doi:10.1126/science.8351520 · Cited by 2,350 · cited 3×
“Place cells in the hippocampal formation fire selectively when an animal moves through particular locations (‘‘place fields’’) in the environment (O’Keefe and Dostrovsky, 1971; Wilson and McNaughton, 1993).”
Self-citationSleep-dependent memory consolidation
Stickgold, R. (2005) · Nature · doi:10.1038/nature04286 · Cited by 1,857 · cited 2×
“For example, the reverse replay event in Figure 4D proceeds in the B/A direction (from 7.5 to 2.5 m on the track) but uses the hippocampal ensemble code associated with running in the opposite A/B direction, as indicated by the blue color.”
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Items 101–200 of 806
Spatiotemporal patterns of neocortical activity around hippocampal sharp-wave ripples
Abadchi, J. K., Nazari-Ahangarkolaee, M., Gattas, S., Bermudez-Contreras, E. J., Luczak, A., McNaughton, B. L., & Mohajerani, M. H. (2020) · eLife · doi:10.7554/elife.51972 · Cited by 137
“An isolated ripple has a limited duration and therefore its neural content consists of a sequence of limited number of place cells with place fields covering routes with a limited length (Davidson et al., 2009).”
BackgroundResultInfluentialReactivation, Replay, and Preplay: How It Might All Fit Together
Buhry, L., Azizi, A. H., & Cheng, S. (2011) · Neural Plasticity · doi:10.1155/2011/203462 · Cited by 134
“However, it seems that awake replay can be initiated at remote locations on the track [24] and may correspond to a different track altogether [58].”
BackgroundResultWeiss, S. A., Alvarado‐Rojas, C., Bragin, A., Behnke, E., Fields, T. A., Fried, I., Engel, J., & Staba, R. J. (2015) · Epilepsia · doi:10.1111/epi.13251 · Cited by 133
“5 SD of the mean.(16) HFO power in the ripple and fast ripple band were calculated using a power spectral density function.”
MethodResting state EEG correlates of memory consolidation
Brokaw, K., Tishler, W., Manceor, S., Hamilton, K., Gaulden, A. D., Parr, E., & Wamsley, E. J. (2016) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2016.01.008 · Cited by 149
“As such, slow oscillations are indirectly linked to the reactivation and consolidation of memory in hippocampal–cortical circuits (Carr et al., 2011; Davidson et al., 2009; Foster & Wilson, 2006; Gupta et al., 2010; Karlsson & Frank, 2009).”
BackgroundLee, J. S., Briguglio, J. J., Cohen, J. D., Romani, S., & Lee, A. K. (2020) · Cell · doi:10.1016/j.cell.2020.09.024 · Cited by 139
Associative and predictive hippocampal codes support memory-guided behaviors
Liu, C., Todorova, R., Tang, W., Oliva, A., & Fernández‐Ruiz, A. (2023) · Science · doi:10.1126/science.adi8237 · Cited by 150
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
Brown, T. I., Ross, R. S., Keller, J. B., Hasselmo, M. E., & Stern, C. E. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.6021-09.2010 · Cited by 130
“Ensembles of hippocampal place cells have been shown to fire sequentially along trajectories from an animal’s physical location, which may be important for the association between distal locations (Diba and Buzsaki, 2007; Johnson and Redish, 2007; Davidson et al., 2009).”
BackgroundGrowth and splitting of neural sequences in songbird vocal development
Okubo, T. S., Mackevicius, E. L., Payne, H. L., Lynch, G. F., & Fee, M. S. (2015) · Nature · doi:10.1038/nature15741 · Cited by 133
Task Demands Predict a Dynamic Switch in the Content of Awake Hippocampal Replay
Ólafsdóttir, H. F., Carpenter, F., & Barry, C. (2017) · Neuron · doi:10.1016/j.neuron.2017.09.035 · Cited by 142
“…to periods when the animals’ speed remained below 3cm/s. Place cell activity during reactivations was analysed using a Bayesian decoding approach(Davidson et al., 2009; Olafsdottir et al., 2016b; Zhang et al., 1998) to calculate the probability of an animal’s location on the track given the…”
BackgroundMethodInfluentialPropagation of hippocampal ripples to the neocortex by way of a subiculum-retrosplenial pathway
Nitzan, N., McKenzie, S., Beed, P. S., English, D. F., Oldani, S., Tukker, J. J., Buzsáki, G., & Schmitz, D. (2020) · Nature Communications · doi:10.1038/s41467-020-15787-8 · Cited by 137
A sense of space in postrhinal cortex
LaChance, P. A., Todd, T. P., & Taube, J. S. (2019) · Science · doi:10.1126/science.aax4192 · Cited by 130
The temporal dynamics of opportunity costs: A normative account of cognitive fatigue and boredom.
Agrawal, M., Mattar, M. G., Cohen, J. D., & Daw, N. D. (2021) · Psychological Review · doi:10.1037/rev0000309 · Cited by 134
Replay, the default mode network and the cascaded memory systems model
Kaefer, K., Stella, F., McNaughton, B. L., & Battaglia, F. P. (2022) · Nature reviews. Neuroscience · doi:10.1038/s41583-022-00620-6 · Cited by 132
Hippocampal reactivation of random trajectories resembling brownian diffusion
Stella, F., Baracskay, P., O’Neill, J., & Csicsvari, J. (2019) · Neuron · doi:10.1016/j.neuron.2019.01.052 · Cited by 107
“During exploration, the reactivation seen in transient SWRassociated network bursts tends to occur when animals stop briefly (Davidson et al., 2009; Foster andWilson, 2006).”
BackgroundSequence learning and the role of the hippocampus in rodent navigation
Foster, D. J., & Knierim, J. J. (2012) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2011.12.005 · Cited by 132
“The phenomenon has been extensively replicated [53,54,55 ,56 ,57].”
Multiple time-scales of decision-making in the hippocampus and prefrontal cortex
Tang, W., Shin, J. D., & Jadhav, S. P. (2021) · eLife · doi:10.7554/elife.66227 · Cited by 142
“To evaluate neural representations at the ensemble level, Bayesian decoding was implemented as previously described (Davidson et al., 2009; Shin et al., 2019; Tang et al., 2017; Zhang et al., 1998): a memoryless Bayesian decoder was built for different trajectory types (for outbound, C-to-L vs.”
MethodGoal-direction and top-down control
Buschman, T. J., & Miller, E. K. (2014) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2013.0471 · Cited by 131
“For example, prospection has been seen in the hippocampus: rats will not only think about portions of the environment that they recently experienced but will also project into parts of the environment that are in front of them [66].”
BackgroundHippocampus-dependent emergence of spatial sequence coding in retrosplenial cortex
Mao, D., Neumann, A. R., Sun, J., Bonin, V., Mohajerani, M. H., & McNaughton, B. L. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1803224115 · Cited by 116
Reconceiving the hippocampal map as a topological template
Dabaghian, Y. A., Brandt, V. L., & Frank, L. M. (2014) · eLife · doi:10.7554/elife.03476 · Cited by 121
“Such an encoded sequence is evident in spontaneous replays of place cell spiking during quiescent (Muller and Kubie, 1989; Davidson et al., 2009; Karlsson and Frank, 2009; Carr et al., 2011; Dragoi and Tonegawa, 2011; Zeithamova et al., 2012) and sleep states (Skaggs and McNaughton, 1996; Louie and…”
BackgroundLocal generation of multineuronal spike sequences in the hippocampal CA1 region
Stark, E., Roux, L., Eichler, R., & Buzsáki, G. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1508785112 · Cited by 119
“Proc Natl Acad Sci USA 104(19):8149–8154.”
Thalamic pathways underlying prefrontal cortex–medial temporal lobe oscillatory interactions
Ketz, N., Jensen, O. B., & O’Reilly, R. C. (2014) · Trends in Neurosciences · doi:10.1016/j.tins.2014.09.007 · Cited by 127
Hippocampal memory consolidation during sleep: a comparison of mammals and birds
Rattenborg, N. C., Martínez-González, D., Roth, T. C., & Витальевич, П. В. (2010) · Biological reviews/Biological reviews of the Cambridge Philosophical Society · doi:10.1111/j.1469-185x.2010.00165.x · Cited by 128
“Reactivation during such pauses in behaviour can occur in a forward order, as in sleep, as well as in reverse order (Csicsvari et al., 2007; Diba & Buzsáki, 2007; Davidson et al., 2009; Foster & Wilson, 2006; Gupta et al., 2010).”
BackgroundWidloski, J., & Foster, D. J. (2022) · Neuron · doi:10.1016/j.neuron.2022.02.002 · Cited by 129
“The posterior probability at bin xj conditioned on the activity vector k ! (with the i element as ki) is given by Bayes rule (assuming Poisson spiking noise statistics, independence between neurons, and a uniform spatial prior (Davidson et al., 2009)):”
BackgroundMethodImpaired Hippocampal Ripple-Associated Replay in a Mouse Model of Schizophrenia
Suh, J., Foster, D. J., Davoudi, H., Wilson, M. A., & Tonegawa, S. (2013) · Neuron · doi:10.1016/j.neuron.2013.09.014 · Cited by 117
“Abolished Spatial Information Content of Reactivation Events in Calcineurin KO It has been demonstrated that awake SWR events are associated with temporally sequenced activity patterns of hippocampal place cells, referred to as ‘‘replay’’ due to the resemblance to spatial activity patterns in prior behavioral experien…”
InfluentialSelf-citationZielinski, M. C., Shin, J. D., & Jadhav, S. P. (2019) · Journal of Neuroscience · doi:10.1523/jneurosci.0106-19.2019 · Cited by 127
“…decoder was used to calculate the probability of the animal’s location given the firing rate templates of the neurons that fired and their spikes that occurred in each time window (Zhang et al., 1998; Davidson et al., 2009; Karlsson and Frank, 2009; Gupta et al., 2012; Pfeiffer and Foster, 2013).”
MethodLateral septum as a nexus for mood, motivation, and movement
Wirtshafter, H. S., & Wilson, M. A. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.03.029 · Cited by 128
Self-citationBayesian decoding using unsorted spikes in the rat hippocampus
Kloosterman, F., Layton, S. P., Chen, Z. S., & Wilson, M. A. (2013) · Journal of Neurophysiology · doi:10.1152/jn.01046.2012 · Cited by 117
“This assumption is not necessarily true or known to be true, for example, if the goal is to decode a hidden stimulus with unknown temporal dynamics (Davidson et al. 2009; Kloosterman 2012).”
BackgroundMethodInfluentialSelf-citationHippocampal–cortical interaction in decision making
Yu, J. Y., & Frank, L. M. (2014) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2014.02.002 · Cited by 119
“During this period, ensembles of pyramidal neurons become briefly reactivated (Wilson and McNaughton 1994; Skaggs and McNaughton 1996; Kudrimoti et al. 1999; Foster and Wilson 2006; Jackson et al. 2006; Diba and Buzsaki 2007; Davidson et al. 2009).”
BackgroundInfluentialNested sequences of hippocampal assemblies during behavior support subsequent sleep replay
Drieu, C., Todorova, R., & Zugaro, M. (2018) · Science · doi:10.1126/science.aat2952 · Cited by 119
Multiscale representation of very large environments in the hippocampus of flying bats
Eliav, T., Maimon, S. R., Aljadeff, J., Tsodyks, M. V., Ginosar, G., Las, L., & Ulanovsky, N. (2021) · Science · doi:10.1126/science.abg4020 · Cited by 118
Dorsal and Ventral Hippocampal Sharp-Wave Ripples Activate Distinct Nucleus Accumbens Networks
Sosa, M., Joo, H. R., & Frank, L. M. (2019) · Neuron · doi:10.1016/j.neuron.2019.11.022 · Cited by 118
“Because reactivation events can span SWRs in a chain (Davidson et al., 2009), we included chained SWR events (although exclusion of chains did not change the results).”
BackgroundSleep and Synaptic Renormalization: A Computational Study
Olcese, U., Esser, S. K., & Tononi, G. (2010) · Journal of Neurophysiology · doi:10.1152/jn.00593.2010 · Cited by 117
“883 Instances of reactivation have also been described during quiet wakefulness (Foster & Wilson 2006; 884 Diba & Buzsáki 2007; Davidson et al. 2009; Karlsson & Frank 2009) and REM sleep (Louie & Wilson 885 2001).”
BackgroundCarruthers, P. (2013) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1301195110 · Cited by 110
“When at rest, or during pauses in exploration of a track, place cells in the rat hippocampus fire in sequences corresponding to portions of the route already traveled or about to be traveled (75).”
BackgroundReward revaluation biases hippocampal replay content away from the preferred outcome
Carey, A. A., Tanaka, Y., & van der Meer, M. A. A. (2019) · Nature Neuroscience · doi:10.1038/s41593-019-0464-6 · Cited by 106
A biologically inspired hierarchical goal directed navigation model
Erdem, U. M., & Hasselmo, M. E. (2013) · Journal of Physiology-Paris · doi:10.1016/j.jphysparis.2013.07.002 · Cited by 107
“…relevant physiological data currently includes spiking forward sweep events (Johnson and Redish, 2007; Pfeiffer and Foster, 2013) and sharp wave ripple events (Foster and Wilson, 2006; Davidson et al., 2009; Louie and Wilson, 2001; Jadhav et al., 2012) observed during goal directed spatial tasks.”
BackgroundFrank, M. G., & Heller, H. C. (2018) · Handbook of experimental pharmacology · doi:10.1007/164_2018_140 · Cited by 121
The balance of forward and backward hippocampal sequences shifts across behavioral states
Wikenheiser, A. M., & Redish, A. D. (2012) · Hippocampus · doi:10.1002/hipo.22049 · Cited by 113
“Sequences replayed by the hippocampus can diverge substantially from behavior (Davidson et al., 2009; Karlsson and Frank, 2009; Gupta et al., 2010), and are influenced by cognitive factors such as novelty (Hirase et al., 2001; Cheng and Frank, 2008), learning (Jackson et al., 2006) and…”
BackgroundMethodResultInfluentialMattar, M. G., & Lengyel, M. (2022) · Neuron · doi:10.1016/j.neuron.2021.12.018 · Cited by 120
Formalizing planning and information search in naturalistic decision-making
Hunt, L. T., Daw, N. D., Kaanders, P., MacIver, M. A., Mugan, U., Procyk, E., Redish, A. D., Russo, E., Scholl, J., Stachenfeld, K., et al. (2021) · Nature Neuroscience · doi:10.1038/s41593-021-00866-w · Cited by 115
Replay in Deep Learning: Current Approaches and Missing Biological Elements
Hayes, T. L., Krishnan, G. P., Bazhenov, M., Siegelmann, H. T., Sejnowski, T. J., & Kanan, C. (2021) · Neural Computation · doi:10.1162/neco_a_01433 · Cited by 106
“Such replay of recent learning has been replicated across several studies (Louie and Wilson, 2001; Davidson, Kloosterman, & Wilson, 2009) and in other brain regions (Peyrache, Khamassi, Benchenane, Wiener, & Battaglia, 2009; Ji & Wilson, 2007).”
Xu, H., Baracskay, P., O’Neill, J., & Csicsvari, J. (2018) · Neuron · doi:10.1016/j.neuron.2018.11.015 · Cited by 110
“We detected HSEs in which many cells fired action potentials together (see STAR Methods; Davidson et al., 2009).”
BackgroundMethodResultInfluentialCoordinated Interaction between Hippocampal Sharp-Wave Ripples and Anterior Cingulate Unit Activity
Wang, D. V., & Ikemoto, S. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.1042-16.2016 · Cited by 108
“A number of studies have shown that ripple-coincident neural firing during sleep is reminiscent of neural activity patterns associated with previous experiences (Wilson and McNaughton, 1994; Skaggs and McNaughton, 1996; Nádasdy et al., 1999; Lee and Wilson, 2002; Davidson et al., 2009).”
BackgroundResultReplay of Episodic Memories in the Rat
Panoz-Brown, D., Iyer, V., Carey, L. M., Sluka, C. M., Rajic, G., Kestenman, J., Gentry, M., Brotheridge, S., Somekh, I., Corbin, H. E., et al. (2018) · Current Biology · doi:10.1016/j.cub.2018.04.006 · Cited by 101
Post-learning hippocampal replay selectively reinforces spatial memory for highly rewarded locations
Michon, F., Sun, J.-J., Kim, C. Y., Ciliberti, D., & Kloosterman, F. (2019) · Current Biology · doi:10.1016/j.cub.2019.03.048 · Cited by 86
“We next analyzed replay of spatial trajectories [14, 25] by fitting the best trajectory to the maximum-a-posteriori position estimates using weighted isotonic regression (see STAR Methods).”
MethodSelf-citationHippocampo-cortical circuits for selective memory encoding, routing, and replay
Harvey, R. E., Robinson, H. L., Liu, C., Oliva, A., & Fernandez-Ruiz, A. (2023) · Neuron · doi:10.1016/j.neuron.2023.04.015 · Cited by 101
A mechanism for learning with sleep spindles
Peyrache, A., & Seibt, J. (2020) · Philosophical Transactions of the Royal Society B: Biological Sciences · doi:10.1098/rstb.2019.0230 · Cited by 89
“One possibility is that successive SWRs convey related messages, as observed during awake replay events [145], and thus need orchestration at a slower timescale for coherent consolidation of extended memories.”
BackgroundWitton, J., Staniaszek, L. E., Bartsch, U., Randall, A. D., Jones, M. W., & Brown, J. T. (2014) · The Journal of Physiology · doi:10.1113/jphysiol.2014.282889 · Cited by 99
“Hippocampal place cells are reactivated in a compressed time frame during SWRs in a manner that recapitulates spatial experience (Nádasdy et al. 1999; Lee & Wilson, 2002; Davidson et al. 2009; Karlsson & Frank, 2009).”
BackgroundInfluentialCoordinated emergence of hippocampal replay and theta sequences during post-natal development
Muessig, L., Lasek, M., Varsavsky, I., Cacucci, F., & Wills, T. J. (2019) · Current Biology · doi:10.1016/j.cub.2019.01.005 · Cited by 91
Scalable representation of time in the hippocampus
Shimbo, A., Izawa, E., & Fujisawa, S. (2021) · Science Advances · doi:10.1126/sciadv.abd7013 · Cited by 105
Investigating neural representations: the tale of place cells
Bechtel, W. (2014) · Synthese · doi:10.1007/s11229-014-0480-8 · Cited by 102
Decoding cognition from spontaneous neural activity
Liu, Y., Nour, M. M., Schuck, N. W., Behrens, T. E. J., & Dolan, R. J. (2022) · Nature reviews. Neuroscience · doi:10.1038/s41583-022-00570-z · Cited by 107
“These events typically happen during rest 27,31,33 , but also during pauses in a behavioural task 148 .”
BackgroundSelection of preconfigured cell assemblies for representation of novel spatial experiences
Dragoi, G., & Tonegawa, S. (2013) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2012.0522 · Cited by 95
“In contrast, the demonstration of preplay sequences indicated that the hippocampal network of naïve mice and rats was preconfigured before the novel experience and further argued that the firing sequences on the novel track were not entirely created de novo in response to the external stimuli (Figure 3b) [24,34,39].”
BackgroundRigid firing sequences undermine spatial memory codes in a neurodegenerative mouse model
Cheng, J., & Ji, D. (2013) · eLife · doi:10.7554/elife.00647 · Cited by 95
“consolidation with or without partial external input (Buzsaki, 1989; Wilson and McNaughton, 1994; Skaggs and McNaughton, 1996; Nadasdy et al., 1999; Lee and Wilson, 2002; Foster and Wilson, 2006; Diba and Buzsaki, 2007; Ji and Wilson, 2007; Gelbard-Sagiv et al., 2008; Davidson et al., 2009; Karlsson and Frank, 2009; C…”
BackgroundInfluentialInternally generated hippocampal sequences as a vantage point to probe future‐oriented cognition
Pezzulo, G., Kemere, C. T., & van der Meer, M. A. A. (2017) · Annals of the New York Academy of Sciences · doi:10.1111/nyas.13329 · Cited by 98
Acute silencing of hippocampal CA3 reveals a dominant role in place field responses
Davoudi, H., & Foster, D. J. (2019) · Nature Neuroscience · doi:10.1038/s41593-018-0321-z · Cited by 89
Local Sleep and Alzheimer’s Disease Pathophysiology
Mander, B. A. (2020) · Frontiers in Neuroscience · doi:10.3389/fnins.2020.525970 · Cited by 97
“Coordinated firing of neuronal ensembles during initial encoding has been observed to spontaneously reoccur during ripples (Wilson and McNaughton, 1994; Ji and Wilson, 2007; Davidson et al., 2009), with ripples instigating information transfer from the hippocampus to the cortex when phase locked to SOs and sleep spind…”
BackgroundResultLearning-Induced Plasticity Regulates Hippocampal Sharp Wave-Ripple Drive
Girardeau, G., Cei, A., & Zugaro, M. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.4288-13.2014 · Cited by 97
“…awake states, such as brief pauses during exploration, these SPW-Rs do not appear to be involved in memory consolidation, but in different, complementary functions, such as memory-guided decision making (Foster and Wilson, 2006; Diba and Buzsáki, 2007; Carr et al., 2011; Jadhav et al., 2012).”
BackgroundDorsal CA1 hippocampal place cells form a multi-scale representation of megaspace
Harland, B. C., Contreras, M., Souder, M., & Fellous, J. (2021) · Current Biology · doi:10.1016/j.cub.2021.03.003 · Cited by 105
Short‐term plasticity based network model of place cells dynamics
Romani, S., & Tsodyks, M. V. (2014) · Hippocampus · doi:10.1002/hipo.22355 · Cited by 83
“…track or in a 2D environment, bursting activity occasionally spans sequences which cover—on a compressed time scale—a possible trajectory of the animal (Foster and Wilson, 2006; Diba and Buzsaki, 2007; Davidson et al., 2009; Karlsson and Frank, 2009; Gupta et al., 2010; Pfeiffer and Foster, 2013).”
BackgroundResultInfluentialShifting the spotlight of attention: evidence for discrete computations in cognition
Buschman, T. J., & Miller, E. K. (2010) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2010.00194 · Cited by 87
Hippocampal replay of experience at real-world speeds
Denovellis, E. L., Gillespie, A. K., Coulter, M. E., Sosa, M., Chung, J. E., Eden, U. T., & Frank, L. M. (2021) · eLife · doi:10.7554/elife.64505 · Cited by 89
“296 This level of accuracy is comparable to that of other studies (Davidson et al., 2009; Shin et al., 297 2019; Farooq and Dragoi, 2019), and reflects in part the presence of "theta sequences" (Dragoi 298 and Buzsáki, 2006; Foster and Wilson, 2007) where position deviates behind and ahead of the 299 animal across ind…”
BackgroundMethodResultInfluentialNeural Representation of Spatial Topology in the Rodent Hippocampus
Chen, Z. S., Gomperts, S. N., Yamamoto, J., & Wilson, M. A. (2013) · Neural Computation · doi:10.1162/neco_a_00538 · Cited by 87
“We used a previously established criterion (Davidson et al., 2009) to detect these MUA bursts and examined the associated hippocampal ensemble spiking activity.”
BackgroundMethodResultInfluentialSelf-citationA Unified Dynamic Model for Learning, Replay, and Sharp-Wave/Ripples
Jahnke, S., Timme, M., & Memmesheimer, R.-M. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.3977-14.2015 · Cited by 90
“The sequences of activity are replayed in a further compressed manner, while the animal rests and sleeps (Wilson and McNaughton, 1994; Nadasdy et al., 1999; Lee and Wilson, 2002; Pastalkova et al., 2008; Davidson et al., 2009).”
BackgroundResultInfluentialZielinski, M. C., Tang, W., & Jadhav, S. P. (2017) · Hippocampus · doi:10.1002/hipo.22821 · Cited by 102
“more prevalent in the awake state (Ambrose et al., 2016; Davidson et al., 2009; Diba & Buzs aki, 2007; Foster & Wilson, 2006; Grosmark & Buzs aki, 2016).”
BackgroundInfluentialCooperative interactions between hippocampal and striatal systems support flexible navigation
Brown, T. I., Ross, R. S., Tobyne, S. M., & Stern, C. E. (2012) · NeuroImage · doi:10.1016/j.neuroimage.2012.01.046 · Cited by 90
“The ability of the hippocampus to " look ahead " or bind locations together is exemplified by sequential firing of ensembles of place cells along trajectories from an animal's location (Davidson et al., 2009; Diba and Buzsaki, 2007; Johnson and Redish, 2007a;).”
Schmidt, B., Duin, A. A., & Redish, A. D. (2019) · Journal of Neurophysiology · doi:10.1152/jn.00793.2018 · Cited by 92
“During this nonlocal firing, the place cells are activated in behaviorally relevant sequences that can represent trajectories the rat previously traversed or could traverse (Davidson et al. 2009; Foster and Wilson 2007; Gupta et al. 2010, 2012; Pfeiffer and Foster 2013; Skaggs and McNaughton 1996).”
BackgroundNavigating with grid and place cells in cluttered environments
Edvardsen, V., Bičanski, A., & Burgess, N. (2019) · Hippocampus · doi:10.1002/hipo.23147 · Cited by 90
“In addition, replay events (chained together; Davidson, Kloosterman, & Wilson, 2009) can last longer than 120 ms, potentially covering longer trajectories, suggesting that the order of magnitude estimate for the timescales in the model is consistent with published data.”
ResultMerkow, M. B., Burke, J. F., Ramayya, A. G., Sharan, A. D., Sperling, M. R., & Kahana, M. J. (2016) · Brain stimulation · doi:10.1016/j.brs.2016.12.011 · Cited by 85
“Extensive research in animals [29] [30] has found that neuronal activity associated with past experiences occurs in the MTL, and in humans spontaneous replay of BOLD signal associated with an item has been shown to support later memory [31], possibly through memory consolidation to neocortical…”
Reactivation predicts the consolidation of unbiased long-term cognitive maps
Grosmark, A. D., Sparks, F. T., Davis, M. J., & Losonczy, A. (2021) · Nature Neuroscience · doi:10.1038/s41593-021-00920-7 · Cited by 71
Decoding the cognitive map: ensemble hippocampal sequences and decision making
Wikenheiser, A. M., & Redish, A. D. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2014.10.002 · Cited by 93
“Differences have also been found in representations during wake and sleep states [56], with wake states showing flexible sequences [32,34,47] more likely to be involved in some sort of analytical processing than consolidation, but with sleep states being more consistent with a consolidation hypothesis.”
ResultSchuette, P. J., Reis, F. M., Maesta‐Pereira, S., Chakerian, M., Torossian, A., Blair, G. J., Wang, W., Blair, H. T., Fanselow, M. S., Kao, J. C., et al. (2020) · Journal of Neuroscience · doi:10.1523/jneurosci.1022-20.2020 · Cited by 80
Virtual reality systems for rodents
Thurley, K., & Ayaz, A. (2016) · Current Zoology · doi:10.1093/cz/zow070 · Cited by 90
“More complex and extended mazes can be built with much greater effort but are still restricted to the lab scale (Davidson et al. 2009; Rich et al. 2014).”
BackgroundHippocampal Sequences During Exploration: Mechanisms and Functions
Drieu, C., & Zugaro, M. (2019) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2019.00232 · Cited by 99
“, 2017), or even be initiated at remote locations (Davidson et al., 2009; Karlsson and Frank, 2009; Gupta et al., 2010).”
BackgroundInfluentialNere, A., Hashmi, A. G., Cirelli, C., & Tononi, G. (2013) · Frontiers in Neurology · doi:10.3389/fneur.2013.00143 · Cited by 84
Imagination as a fundamental function of the hippocampus
Comrie, A. E., Frank, L. M., & Kay, K. (2022) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2021.0336 · Cited by 91
“In early work, replay was found to correspond to sequences of locations starting near and projecting ahead of the animal, just prior to running along that same path in the linear maze, consistent with anticipation of upcoming experience [74,79,80].”
BackgroundThe Interplay of Hippocampus and Ventromedial Prefrontal Cortex in Memory-Based Decision Making
Weilbächer, R. A., & Gluth, S. (2016) · Brain Sciences · doi:10.3390/brainsci7010004 · Cited by 80
“Such neural replay has also been reported in awake states, for instance, when rodents pause in exploring a maze [28,29].”
BackgroundRest boosts the long-term retention of spatial associative and temporal order information
Craig, M., Dewar, M., Sala, S. D., & Wolbers, T. (2015) · Hippocampus · doi:10.1002/hipo.22424 · Cited by 85
“the animal holds a particular location in space (Jackson et al., 2006; Davidson et al., 2009; Karlsson and Frank, 2009).”
InfluentialDynamic neural systems enable adaptive, flexible memories
Kroes, M. C. W., & Fernández, G. (2012) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2012.02.014 · Cited by 82
Wittkuhn, L., & Schuck, N. W. (2021) · Nature Communications · doi:10.1038/s41467-021-21970-2 · Cited by 77
Brown, T. I., & Stern, C. E. (2013) · Cerebral Cortex · doi:10.1093/cercor/bht041 · Cited by 81
“Furthermore, sequential replay of spatial trajectories occurs in the dorsal hippocampus of rodents (Davidson et al. 2009; Gupta et al. 2010).”
BackgroundFunctional Diversity of Subicular Principal Cells during Hippocampal Ripples
Böhm, C., Peng, Y., Maier, N., Winterer, J., Poulet, J. F. A., Geiger, J. R. P., & Schmitz, D. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.5034-14.2015 · Cited by 78
“…on the reactivation of neuronal ensembles that have been activated during exploration in a temporally compressed fashion (Lee and Wilson, 2002; Davidson et al., 2009; Karlsson and Frank, 2009), thereby stabilizing the synaptic connections between ensemble members (Markram et al., 1997) not…”
BackgroundSensorimotor Cognition and Natural Language Syntax
Knott, A. (2012) · The MIT Press eBooks · doi:10.7551/mitpress/8938.001.0001 · Cited by 76
Nokia, M. S., Mikkonen, J. E., Penttonen, M., & Wikgren, J. (2012) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2012.00084 · Cited by 79
“ORIGINAL RESEARCH ARTICLE published: 04 December 2012 doi: 10.3389/fnbeh.2012.00084 Disrupting neural activity related to awake-state sharp wave-ripple complexes prevents hippocampal learning”
InfluentialEmergence of Cognition from ActionPreprint
Buzsáki, G., Peyrache, A., & Kubie, J. L. (2014) · Cold Spring Harbor Symposia on Quantitative Biology · doi:10.1101/sqb.2014.79.024679 · Cited by 86
“…1989; Wilson and McNaughton 1994), have been shown to generate spike sequences that predict to-be-visited places and delayed actions or a chaining of past and expected events (Diba and Buzsáki 2007; Davidson et al. 2009; Gupta et al. 2010; cf., Carr et al. 2011; Buzsáki and Lopes da Silva 2012).”
BackgroundContribution of hippocampal region CA3 to consciousness and schizophrenic hallucinations
Behrendt, R. (2009) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2009.12.009 · Cited by 75
“Replay of memory sequences during wakefulness is compressed in time, being embedded within high-frequency oscillations (ripples), and occurs in a temporally reversed order (Foster and Wilson, 2006; Davidson et al., 2009).”
Tao, K., Chung, M., Watarai, A., Huang, Z., Wang, M., & Okuyama, T. (2022) · Molecular Psychiatry · doi:10.1038/s41380-021-01430-5 · Cited by 74
“In the dorsal hippocampus, forward replay is significantly more frequent than reverse replay [54, 55], which contributes to the spike sequence consistency between online theta cycles and offline ripples [56].”
BackgroundSleep loss diminishes hippocampal reactivation and replay
Giri, B. K., Kinsky, N. R., Kaya, U., Maboudi, K., Abel, T. G., & Diba, K. (2024) · Nature · doi:10.1038/s41586-024-07538-2 · Cited by 79
Farooq, U., Sibille, J., Liu, K., & Dragoi, G. (2019) · Neuron · doi:10.1016/j.neuron.2019.05.040 · Cited by 74
“, Bayesian decoding (Davidson et al., 2009; Karlsson and Frank, 2009; Zhang et al., 1998), is the most comprehensive statistical method to assess the ability of spontaneous network patterns (i.”
BackgroundMethodInfluentialEcker, A., Bagi, B., Vértes, E., Steinbach-Németh, O., Karlócai, M. R., Papp, O. I., Miklós, I., Hájos, N., Freund, T. F., Gulyás, A. I., et al. (2022) · eLife · doi:10.7554/elife.71850 · Cited by 73
Wakeful rest promotes the integration of spatial memories into accurate cognitive maps
Craig, M., Dewar, M., Harris, M. A., Sala, S. D., & Wolbers, T. (2015) · Hippocampus · doi:10.1002/hipo.22502 · Cited by 74
“…resonates with the discovery in rodents of rest-associated hippocampal replay of experienced trajectories as well as of trajectories that were never travelled during actual exploration (O’Keefe et al., 1998; Davidson et al., 2009; Harvey et al., 2009; Gupta et al., 2010; Wills et al., 2010).”
BackgroundResultInfluentialReplay of Learned Neural Firing Sequences during Rest in Human Motor Cortex
Eichenlaub, J., Jarosiewicz, B., Saab, J., Franco, B., Kelemen, J. N., Halgren, E., Hochberg, L. R., & Cash, S. S. (2020) · Cell Reports · doi:10.1016/j.celrep.2020.107581 · Cited by 86
“To test whether replay events were compressed or expanded in time (Csicsvari et al., 2007; Davidson et al., 2009; Diba and Buzsáki, 2007; Euston et al., 2007; Foster and Wilson, 2006; Ji and Wilson, 2007; Karlsson and Frank, 2009; Lansinket al., 2009; Lee and Wilson, 2002; Louie and Wilson, 2001; Wilber et al., 2017),…”
BackgroundMethodHippocampal place cell sequences differ during correct and error trials in a spatial memory task
Zheng, C., Hwaun, E., Loza, C. A., & Colgin, L. L. (2021) · Nature Communications · doi:10.1038/s41467-021-23765-x · Cited by 73
Forward and Backward Inference in Spatial Cognition
Penny, W. D., Zeidman, P., & Burgess, N. (2013) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1003383 · Cited by 70
“This corresponds to a compression factor of about 15 to 20 relative to the original behaviour [102].”
BackgroundLloret, M.-A., Cervera-Ferri, A., Nepomuceno, M., Monllor, P., Esteve, D., & Lloret, A. (2020) · International Journal of Molecular Sciences · doi:10.3390/ijms21031168 · Cited by 68
“It represents the reactivation of hippocampal memory representations and have been proposed as a cognitive biomarker for episodic memory [37].”
BackgroundMiddleton, S. J., Kneller Emily, M., Chen, S., Ogiwara, I., Montal, M., Yamakawa, K., & McHugh, T. J. (2018) · Nature Neuroscience · doi:10.1038/s41593-018-0163-8 · Cited by 70
Rusu, S. I., & Pennartz, C. M. A. (2019) · Hippocampus · doi:10.1002/hipo.23167 · Cited by 63
Deciphering Neural Codes of Memory during Sleep
Chen, Z. S., & Wilson, M. A. (2017) · Trends in Neurosciences · doi:10.1016/j.tins.2017.03.005 · Cited by 65
“The reactivated patterns during SWRs closely resembled the compressed structure of encoded memory observed within individual cycles of the theta rhythm during awake behavior in the hippocampus [12,50].”
BackgroundSelf-citationRouting of Hippocampal Ripples to Subcortical Structures via the Lateral Septum
Tingley, D., & Buzsáki, G. (2019) · Neuron · doi:10.1016/j.neuron.2019.10.012 · Cited by 77
“As the proportion of hippocampal SPW-Rs that can be decoded as replay events is small in the hippocampus (5%–20%; Davidson et al., 2009; Dragoi and Tonegawa, 2011; Foster and Wilson, 2006; Grosmark and Buzsáki, 2016; Karlsson and Frank, 2009; Michon et al., 2019; Wu and Foster, 2014), we reasoned that perhaps some nav…”
BackgroundThree brain states in the hippocampus and cortex
Kay, K., & Frank, L. M. (2018) · Hippocampus · doi:10.1002/hipo.22956 · Cited by 69
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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