The DOI matches its Crossref record; 156 of the 160 references it cites were found in a registry or an index.
Two-stage model of memory trace formation: A role for “noisy” brain states
Abstract
Review of the normally occurring neuronal patterns of the hippocampus suggests that the two principal cell types of the hippocampus, the pyramidal neurons and granule cells, are maximally active during different behaviors. Granule cells reach their highest discharge rates during theta-concurrent exploratory activities, while population synchrony of pyramidal cells is maximum during immobility, consummatory behaviors, and slow wave sleep associated with field sharp waves. Sharp waves reflect the summed postsynaptic depolarization of large numbers of pyramidal cells in the CA1 and subiculum as a consequence of synchronous discharge of bursting CA3 pyramidal neurons. The trigger for the population burst in the CA3 region is the temporary release from subcortical tonic inhibition. An overview of the experimentally explored criteria of synaptic enhancement (intensity, frequency, and pattern of postsynaptic depolarization, calcium influx, cooperativity, threshold) suggests that these requirements may be present during sharp wave-concurrent population bursts of pyramidal cells. Experimental evidence is cited showing that (a) population bursts in CA3 may lead to long-term potentiation in their postsynaptic CA1 targets, (b) tetanizing stimuli are capable of increasing the synchrony of the sharp wave-burst, and (c) activity patterns of the neocortical input to the hippocampus determine which subgroup of CA3 neurons will trigger subsequently occurring population bursts (initiator cells). Based on the experimental evidence reviewed a formal model of memory trace formation is outlined. During exploratory (theta) behaviors the neocortical information is transmitted to the hippocampus via the fast-firing granule cells which may induce a weak and transient heterosynaptic potentiation in a subgroup of CA3 pyramidal cells. The weakly potentiated CA3 neurons will then initiate population bursts upon the termination of exploratory activity (sharp wave state). It is assumed that recurrent excitation during the population burst is strongest on those cells which initiated the population event. It is suggested that the strong excitatory drive brought about by the sharp wave-concurrent population bursts during consummatory behaviors, immobility, and slow wave sleep may be sufficient for the induction of long-term synaptic modification in the initiator neurons of the CA3 region and in their targets in CA1. In this two-stage model both exploratory (theta) and sharp wave states of the hippocampus are essential and any interference that might modify the structure of the population bursts (e.g. epileptic spikes) is detrimental to memory trace formation.
Overview
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
Claims other papers make about this one
Each is checked against this paper’s own text: does it say what the citing paper says it does?
In the citing paper
“1) during SWS, firing patterns observed during waking are replayed at a much faster (10 -20 times) rate, suggesting a time-compressed form of memory reactivation (160, 551, 606, 715, 843, 1090);”
From About Sleep's Role in Memory (2013) · cites this paper as [160]
In the citing paper
“In the hippocampus memory stabilization is thought to be supported by ‘sleep reactivation’ whereby assembly firing patterns expressed during exploration are reactivated in subsequent sleep/rest periods during sharp wave/ripple (SWR, 135–250Hz) oscillatory events11,12.”
From Dopaminergic neurons promote hippocampal reactivation and spatial memory persistence (2014) · cites this paper as [11]
In the citing paper
“Such reactivation is thought to enable the incorporation of new memory engrams, especially those associated with novel and rewarded outcomes, into stable representations capable of informing future behavior6,11,12,18.”
From Dopaminergic neurons promote hippocampal reactivation and spatial memory persistence (2014) · cites this paper as [11]
Citations
Cites
Hebb, D. O. (2005) · doi:10.4324/9781410612403 · Cited by 9,825
(1978) · UA Campus Repository (The University of Arizona) · Cited by 8,010
Bliss, T. V. P., & Gardner-Medwin, A. R. (1973) · The Journal of Physiology · doi:10.1113/jphysiol.1973.sp010274 · Cited by 7,424
Modification of seizure activity by electrical stimulation: II. Motor seizure
Racine, R. J. (1972) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(72)90177-0 · Cited by 7,141
indicated, N. A. (1950) · Journal of Consulting Psychology · doi:10.1037/h0049612 · Cited by 6,984
The hippocampus as a cognitive map
Passingham, R. E. (1979) · Neuroscience · doi:10.1016/0306-4522(79)90015-0 · Cited by 5,128
Brain stem reticular formation and activation of the EEG
Moruzzi, G., & Magoun, H. W. (1949) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(49)90219-9 · Cited by 4,307
Skinner, B. F., & Hull, C. L. (1944) · The American Journal of Psychology · doi:10.2307/1416955 · Cited by 4,061
Morris, R. G. M., Anderson, E., Lynch, G. S., & Baudry, M. (1986) · Nature · doi:10.1038/319774a0 · Cited by 3,640
Skinner, B. F. (1938) · Cited by 3,571
Research works printed but not linked: 8
- Auerbach, 1988, Nervenendigungen in den Centralorganen, Neurol. Zentralbl., 17, 445
- Ben-Ari Y., Represa A., Robain O., Tremblay E. and Le Gal La Salle G. Sprouting of mossy fibers in the hippocampus of epileptic patients and kindled and kainate treated rats. InNeurotransmitters, Seizures and Epilepsy (eds Avanzini G., Fariello R., Heinemann U. and Engel J. Jr). Demos Press, New York (in press).
- Buzsáki, 1986, Generation of hippocampal EEG patterns, Vol. 3, 137
- Buzsáki G. and Gage F. H. Fetal brain tissue grafts modulate neuronal excitability in a chronic model of epilepsy. InNeurotransmitters, Seizures and Epilepsy (eds Avanzini G., Fariello R., Heinemann U. and Engel J. Jr). Demos Press, New York (in press).
- Crowne, 1975, Some characteristics of functional relations of the electrical activity of the primate hippocampus and hypotheses of hippocampal function, Vol. 2, 185
- Ellman, 1978, REM deprivation: a review, 419
- Jouvet, 1959, L'activite electrique du rhinencephale au cours du sommeil chez le chat, C.r. Séanc. Soc. Biol., 153, 101
- McNaughton, 1982, Directional specificity of rat hippocampal “pace cells” on a radical 8-arm maze, Soc. Neurosci. Abstr., 12, 86.10
Cited by
Sorted by citations
Items 701–800 of 1,004
Sequential predictive learning is a unifying theory for hippocampal representation and replayPreprint
Levenstein, D., Efremov, A., Eyono, R. H., Peyrache, A., & Richards, B. A. (2024) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2024.04.28.591528 · Cited by 42
Hippocampal network oscillations — recent insights from in vitro experiments
Butler, J. L., & Paulsen, O. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2014.07.025 · Cited by 40
Nokia, M. S., Penttonen, M., & Wikgren, J. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.2165-10.2010 · Cited by 40
Sleep and Neurofunctions Throughout Child Development: Lasting Effects of Early Iron Deficiency
Peirano, P. D., Algarín, C. R., Chamorro, R., Reyes, S., Garrido, M. I. H., Durán‐Agüero, S., & Lozoff, B. (2009) · Journal of Pediatric Gastroenterology and Nutrition · doi:10.1097/mpg.0b013e31819773b · Cited by 38
Muscarinic receptor activation disrupts hippocampal sharp wave-ripples
Norimoto, H., Mizunuma, M., Ishikawa, D., Matsuki, N., & Ikegaya, Y. (2012) · Brain Research · doi:10.1016/j.brainres.2012.04.037 · Cited by 38
Interictal spike frequency varies with ovarian cycle stage in a rat model of epilepsy
D’amour, J. A., Magagna‐Poveda, A., Moretto, J. N., Friedman, D., LaFrancois, J. J., Pearce, P. S., Fenton, A. A., MacLusky, N. J., & Scharfman, H. E. (2015) · Experimental Neurology · doi:10.1016/j.expneurol.2015.04.003 · Cited by 38
Sex differences in sleep-dependent perceptual learning
McDevitt, E. A., Rokem, A., Silver, M. A., & Mednick, S. C. (2013) · Vision Research · doi:10.1016/j.visres.2013.10.009 · Cited by 38
Sleep and Memory Consolidation
Spencer, R. M. C., Walker, M. P., & Stickgold, R. (2017) · Springer eBooks · doi:10.1007/978-1-4939-6578-6_13 · Cited by 38
Hippocampal replays under the scrutiny of reinforcement learning models
Cazé, R. D., Khamassi, M., Aubin, L., & Girard, B. (2018) · Journal of Neurophysiology · doi:10.1152/jn.00145.2018 · Cited by 44
Picard‐Deland, C., Aumont, T., Samson-Richer, A., Paquette, T., & Nielsen, T. (2021) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2021.107460 · Cited by 43
Markers of automaticity in sleep-associated consolidation of novel words
Tham, E. K. H., Lindsay, S., & Gaskell, M. G. (2015) · Neuropsychologia · doi:10.1016/j.neuropsychologia.2015.03.025 · Cited by 42
Alterations in Hippocampal Network Activity after In Vitro Traumatic Brain Injury
Kang, W. H., Cao, W., Graudejus, O., Patel, T. P., Wagner, S., Meaney, D. F., & Morrison, B. (2014) · Journal of Neurotrauma · doi:10.1089/neu.2014.3667 · Cited by 38
Bunce, J. G., Sabolek, H. R., & Chrobak, J. J. (2004) · Hippocampus · doi:10.1002/hipo.10200 · Cited by 38
Fellous, J., & B, T. J. S. A. (2000) · Hippocampus · doi:10.1002/(sici)1098-1063(2000)10:2 · Cited by 257
The Neurophysiology of Reminiscence
McNaughton, B. L. (1998) · Neurobiology of Learning and Memory · doi:10.1006/nlme.1998.3851 · Cited by 38
The time course and organization of hippocampal replay
Mallory, C. S., Widloski, J., & Foster, D. J. (2025) · Science · doi:10.1126/science.ads4760 · Cited by 42
TAKAHASHI, S. Y. (2009) · Frontiers in Neural Circuits · doi:10.3389/neuro.04.009.2009 · Cited by 37
Emergence of Slow Collective Oscillations in Neural Networks with Spike-Timing Dependent Plasticity
Mikkelsen, K. B., Imparato, A., & Torcini, A. (2013) · Physical Review Letters · doi:10.1103/physrevlett.110.208101 · Cited by 37
Reorganization of neuronal circuits of the central olfactory system during postprandial sleep
Yamaguchi, M., Manabe, H., Murata, K., & Mori, K. (2013) · Frontiers in Neural Circuits · doi:10.3389/fncir.2013.00132 · Cited by 39
Hippocampal electrical stimulation disrupts associative learning when targeted at dentate spikes
Nokia, M. S., Gureviciene, I., Waselius, T., Tanila, H., & Penttonen, M. (2017) · The Journal of Physiology · doi:10.1113/jp274023 · Cited by 38
Sleep Disorders in Rodent Models of Parkinson’s Disease
Medeiros, D. D. C., Lopes‐Aguiar, C., Moraes, M. F. D., & Fisone, G. (2019) · Frontiers in Pharmacology · doi:10.3389/fphar.2019.01414 · Cited by 38
Learning-related changes in hippocampal field potentials
Moser, E. I. (1995) · Behavioural Brain Research · doi:10.1016/0166-4328(95)00051-8 · Cited by 40
Long-term potentiation and depression of synaptic transmission in rat posterior cingulate cortex
Hedberg, T. G., & Stanton, P. K. (1995) · Brain Research · doi:10.1016/0006-8993(94)01254-f · Cited by 37
Absence of sleep spindles in human medial and basal temporal lobes
Nakabayashi, T., Uchida, S., Maehara, T., Hirai, N., Nakamura, M., Arakaki, H., Shimisu, H., & Okubo, Y. (2001) · Psychiatry and Clinical Neurosciences · doi:10.1046/j.1440-1819.2001.00785.x · Cited by 37
Inhibition of Kainate Receptors Reduces the Frequency of Hippocampal Theta Oscillations
Huxter, J. R., Zinyuk, L. E., Roloff, E. V. L., Clarke, V. R. J., Dolman, N. P., More, J. C. A., Jane, D. E., Collingridge, G. L., & Muller, R. U. (2007) · The Journal of Neuroscience · doi:10.1523/jneurosci.3954-06.2007 · Cited by 36
Interictal network dysfunction and cognitive impairment in epilepsy
Gelinas, J. N., & Khodagholy, D. (2025) · Nature reviews. Neuroscience · doi:10.1038/s41583-025-00924-3 · Cited by 37
Intrahippocampal Anisomycin Impairs Spatial Performance on the Morris Water Maze
Dubue, J. D., McKinney, T. L., Treit, D., & Dickson, C. T. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.1857-15.2015 · Cited by 36
Potential factors influencing replay across CA1 during sharp-wave ripples
de la Prida, L. M. (2020) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2019.0236 · Cited by 35
Nicotine effects on regional cerebral blood flow in awake, resting tobacco smokers
Domino, E. F., Minoshima, S., Guthrie, S. K., Ohl, L. E., Ni, L., Koeppe, R. A., & Zubieta, J. (2000) · Synapse · doi:10.1002/1098-2396(20001201)38:3 · Cited by 104
Sanberg, C. D., Jones, F. L., Do, V. H., Dieguez, D., & Derrick, B. E. (2006) · Learning & Memory · doi:10.1101/lm.126306 · Cited by 36
Jones, E. A. A., Rao, A. T., Zilberter, M. Y., Djukic, B., Bant, J. S., Gillespie, A. K., Koutsodendris, N., Nelson, M. R., Yoon, S. Y., Huang, K., et al. (2021) · Cell Reports · doi:10.1016/j.celrep.2021.110159 · Cited by 36
Firing rate modulation: A simple statistical view of memory trace reactivation
Battaglia, F. P., Sutherland, G. R., Cowen, S. L., Naughton, B. L. M., & Harris, K. D. (2005) · Neural Networks · doi:10.1016/j.neunet.2005.08.011 · Cited by 35
Nielsen, T., O’Reilly, C., Carr, M., Dumel, G., Godin, I., Solomonova, E., Lara-Carrasco, J., Blanchette‐Carrière, C., & Paquette, T. (2014) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2014.09.007 · Cited by 37
Leung, L.-W. S., & Peloquin, P. (2009) · Cerebral Cortex · doi:10.1093/cercor/bhp251 · Cited by 35
Xavier, G. F., Oliveira-Filho, F. J. B., & Santos, A. M. G. (1999) · Hippocampus · doi:10.1002/(sici)1098-1063(1999)9:6 · Cited by 182
Khanna, S., & Zheng, F. (1999) · Neuroscience · doi:10.1016/s0306-4522(98)00324-8 · Cited by 35
Reactivation of hippocampal ensemble activity patterns in the aging rat.
Gerrard, J. L., Kudrimoti, H., McNaughton, B. L., & Barnes, C. A. (2001) · Behavioral Neuroscience · doi:10.1037/0735-7044.115.6.1180 · Cited by 35
Ambrus, G. G., Pisoni, A., Primaßin, A., Turi, Z., Paulus, W., & Antal, A. (2015) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2015.00374 · Cited by 36
Caputi, A., Fuchs, E. C., Allen, K. L., Magueresse, C. L., & Monyer, H. (2012) · PLoS ONE · doi:10.1371/journal.pone.0037318 · Cited by 36
Brain temperature affects quantitative features of hippocampal sharp wave ripples
Petersen, P. C., Vöröslakos, M., & Buzsáki, G. (2022) · Journal of Neurophysiology · doi:10.1152/jn.00047.2022 · Cited by 34
Self-citationKelemen, E., & Fenton, A. A. (2013) · PLoS Biology · doi:10.1371/journal.pbio.1001607 · Cited by 34
Banquet, J. P., Gaussier, P., Dreher, J., Joulain, C., Revel, A., & Günther, W. (1997) · Advances in psychology · doi:10.1016/s0166-4115(97)80121-5 · Cited by 41
Encoding New Episodes and Making Them Stick
SUZUKI, W. A. (2006) · Neuron · doi:10.1016/j.neuron.2006.03.029 · Cited by 34
Subcortical modulation of synaptic plasticity in the hippocampus
Haas, H. L., Sergueeva, O. A., Vorobjev, V. S., & Sharonova, I. N. (1995) · Behavioural Brain Research · doi:10.1016/0166-4328(94)00122-v · Cited by 34
Can anesthetic treatment worsen outcome in status epilepticus?
Sutter, R., & Kaplan, P. W. (2015) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2015.02.044 · Cited by 33
An algorithm for on-line detection of high frequency oscillations related to epilepsy
López‐Cuevas, A., Castillo–Toledo, B., Medina‐Ceja, L., Ventura-Mejía, C., & Pardo‐Peña, K. (2013) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2013.01.014 · Cited by 33
Habib, D., & Dringenberg, H. C. (2009) · Hippocampus · doi:10.1002/hipo.20611 · Cited by 35
Slow wave sleep and accelerated forgetting
Atherton, K. E., Nobre, A. C., Lázár, A. S., Wulff, K., Whittaker, R. G., Dhawan, V., Lázár, Z. I., Zeman, A. Z., & Butler, C. (2016) · Cortex · doi:10.1016/j.cortex.2016.08.013 · Cited by 37
Multichannel Silicon Probes for Awake Hippocampal Recordings in Large Animals
Ulyanova, A. V., Cottone, C., Adam, C. D., Gagnon, K. G., Cullen, D. K., Holtzman, T., Jamieson, B. G., Koch, P. F., Chen, H., Johnson, V. E., et al. (2019) · Frontiers in Neuroscience · doi:10.3389/fnins.2019.00397 · Cited by 33
Time as the fourth dimension in the hippocampus
Banquet, J. P., Gaussier, P., Cuperlier, N., Hok, V., Save, É., Poucet, B., Quoy, M., & Wiener, S. I. (2020) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2020.101920 · Cited by 33
Why is the cortex a slow learner?
Lisman, J. E., & Morris, R. (2001) · Nature · doi:10.1038/35077185 · Cited by 33
Gunn, B. G., Cox, C. D., Chen, Y., Frotscher, M., Gall, C. M., Baram, T. Z., & LYNCH, G. S. (2017) · Cerebral Cortex · doi:10.1093/cercor/bhx103 · Cited by 35
Using connectionist models to guide assessment of psycological disorder.
Siegle, G. J., & Hasselmo, M. E. (2002) · Psychological Assessment · doi:10.1037/1040-3590.14.3.263 · Cited by 33
Andersson‐Roswall, L., Engman, E., Samuelsson, H., Sjöberg-Larsson, C., & Malmgren, K. (2004) · Epilepsy & Behavior · doi:10.1016/j.yebeh.2004.05.012 · Cited by 33
Ravizza, T., Balosso, S., Aronica, E., & Vezzani, A. (2010) · CRC Press eBooks · doi:10.1201/9781420085594 · Cited by 33
Improved sleep scoring in mice reveals human-like stagesPreprint
Lacroix, M. M., de Lavilléon, G., Lefort, J. M., Kanbi, K. E., Bagur, S., Laventure, S., Dauvilliers, Y. A., Peyron, C., & Benchenane, K. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/489005 · Cited by 33
Din, D. A. E., Mönkemöller, L. S., Loeffler, A., Habibollahi, F., Schenkman, J., Mitra, A., van der Molen, T., Ding, L., Laird, J., Schenke, M., et al. (2025) · Communications Biology · doi:10.1038/s42003-025-08632-5 · Cited by 39
Taxidis, J., Mizuseki, K., Mason, R., & Owen, M. R. (2013) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2013.00003 · Cited by 35
Ho, E. C. Y., Strüber, M., Bartos, M., Zhang, L., & Skinner, F. K. (2012) · Journal of Neuroscience · doi:10.1523/jneurosci.5446-11.2012 · Cited by 32
Rapid classification of hippocampal replay content for real-time applications
Deng, X., Liu, D. F., Karlsson, M. P., Frank, L. M., & Eden, U. T. (2016) · Journal of Neurophysiology · doi:10.1152/jn.00151.2016 · Cited by 34
Synchronized excitability in a network enables generation of internal neuronal sequences
Wang, Y., Roth, Z., & Pastalkova, E. (2016) · eLife · doi:10.7554/elife.20697 · Cited by 34
Waselius, T., Wikgren, J., Penttonen, M., & Nokia, M. S. (2019) · Psychophysiology · doi:10.1111/psyp.13387 · Cited by 34
Großberger, L., Battaglia, F. P., & Vinck, M. A. (2018) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1006283 · Cited by 33
Jarzębowski, P., Tang, C. S., Paulsen, O., & Hay, Y. A. (2021) · eLife · doi:10.7554/elife.65998 · Cited by 33
Wang, X., Zhang, Y., Zhang, K., & Yuan, Y. (2021) · NeuroImage · doi:10.1016/j.neuroimage.2021.118441 · Cited by 34
Mokler, D. J., Bronzino, J. D., Galler, J. R., & Morgane, P. J. (1999) · Brain Research · doi:10.1016/s0006-8993(99)01677-7 · Cited by 32
Place Cells Can Flexibly Terminate and Develop Their Spatial Firing. A New Theory for Their Function
Ludvig, N. (1999) · Physiology & Behavior · doi:10.1016/s0031-9384(99)00048-7 · Cited by 32
Aging‐related alterations in the distribution of Ca2+‐dependent PKC isoforms in rabbit hippocampus
van der Zee, E. A., Palm, I. F., O'Connor, M., Maizels, E. T., Hunzicker-Dunn, M. E., & Disterhoft, J. F. (2004) · Hippocampus · doi:10.1002/hipo.20000 · Cited by 32
Neuroengineering Models of Brain Disease
Finkel, L. H. (2000) · Annual Review of Biomedical Engineering · doi:10.1146/annurev.bioeng.2.1.577 · Cited by 32
Cholinergic modulation of synaptic physiology in deep layer entorhinal cortex of the rat
Cheong, M. Y., Yun, S. H., Mook‐Jung, I., Joo, I.-S., Huh, K., & Jung, M. W. (2001) · Journal of Neuroscience Research · doi:10.1002/jnr.1203 · Cited by 32
Differential behavioral state-dependence in the burst properties of CA3 and CA1 neurons
Sneider, J. T., Chrobak, J. J., Quirk, M. C., Oler, J. A., & Markus, E. J. (2006) · Neuroscience · doi:10.1016/j.neuroscience.2006.05.052 · Cited by 33
Alterations of in vivo CA1 network activity in Dp(16)1Yey Down syndrome model mice
Raveau, M., Polygalov, D., Boehringer, R., Amano, K., Yamakawa, K., & McHugh, T. J. (2018) · eLife · doi:10.7554/elife.31543 · Cited by 32
Cognitive swarming in complex environments with attractor dynamics and oscillatory computing
Monaco, J. D., Hwang, G. M., Schultz, K., & Zhang, K. (2020) · Biological Cybernetics · doi:10.1007/s00422-020-00823-z · Cited by 31
Subiculum as a Generator of Sharp Wave-Ripples in the Rodent Hippocampus
Imbrosci, B., Nitzan, N., McKenzie, S., Donoso, J. R., Swaminathan, A., Böhm, C., Maier, N., & Schmitz, D. (2020) · Cell Reports · doi:10.1016/j.celrep.2021.109021 · Cited by 37
Byron, N., Semenova, A., & Sakata, S. (2021) · Biology · doi:10.3390/biology10080707 · Cited by 32
Interictal epileptiform discharges affect memory in an Alzheimer’s disease mouse model
Soula, M., Maslarova, A., Harvey, R. E., Valero, M., Brandner, S., Hamer, H. M., Fernández‐Ruiz, A., & Buzsáki, G. (2023) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2302676120 · Cited by 34
Self-citationTheta Dynamics in Rat: Speed and Acceleration across the Septotemporal Axis
Long, L. L., Hinman, J. R., Chen, C. A., Escabí, M. A., & Chrobak, J. J. (2014) · PLoS ONE · doi:10.1371/journal.pone.0097987 · Cited by 39
Thalamocortical processing of the head-direction sense
Peyrache, A., Duszkiewicz, A. J., Viejo, G. D., & Ángeles-Durán, S. (2019) · Progress in Neurobiology · doi:10.1016/j.pneurobio.2019.101693 · Cited by 34
Brown, R. E., Rabe, H., & Reymann, K. G. (1994) · Neuroscience Letters · doi:10.1016/0304-3940(94)90228-3 · Cited by 31
NREM sleep spindles are associated with dream recall
Nielsen, T., Carr, M., Blanchette-Carrière, C., Marquis, L.-P., Dumel, G., Solomonova, E., Julien, S.-H., Picard-Deland, C., & Paquette, T. (2017) · Sleep Spindles & Cortical Up States · doi:10.1556/2053.1.2016.003 · Cited by 30
Low Activity Microstates During Sleep
Miyawaki, H., Billeh, Y. N., & Diba, K. (2017) · SLEEP · doi:10.1093/sleep/zsx066 · Cited by 30
The hippocampal CA3 region can generate two distinct types of sharp wave‐ripple complexes, in vitro
Hofer, K. T., Kandrács, Á., Ulbert, I., Pál, I., Szabó, C. A., Héja, L., & Wittner, L. (2014) · Hippocampus · doi:10.1002/hipo.22361 · Cited by 30
How we recall (or don’t): the hippocampal memory machine and anesthetic amnesia
Perouansky, M. A., & Pearce, R. A. (2010) · Canadian Journal of Anesthesia/Journal canadien d anesthésie · doi:10.1007/s12630-010-9417-y · Cited by 30
Garner, H. L., Whittington, M. A., & Henderson, Z. (2005) · The Journal of Physiology · doi:10.1113/jphysiol.2004.080622 · Cited by 30
Koene, R. A., & Hasselmo, M. E. (2008) · Neural Networks · doi:10.1016/j.neunet.2007.12.029 · Cited by 31
Spatial Memory Sequence Encoding and Replay During Modeled Theta and Ripple Oscillations
Cutsuridis, V., & Hasselmo, M. E. (2011) · Cognitive Computation · doi:10.1007/s12559-011-9114-3 · Cited by 31
Yoshida, M., Knauer, B., & Jochems, A. (2012) · Frontiers in Neural Circuits · doi:10.3389/fncir.2012.00010 · Cited by 33
Dopamine Receptor Activation Reorganizes Neuronal Ensembles during Hippocampal Sharp Waves In Vitro
Miyawaki, T., Norimoto, H., Ishikawa, T., Watanabe, Y., Matsuki, N., & Ikegaya, Y. (2014) · PLoS ONE · doi:10.1371/journal.pone.0104438 · Cited by 32
Nap sleep spindle correlates of intelligence
Ujma, P. P., Bódizs, R., Gombos, F., Stintzing, J., Konrad, B. N., Genzel, L., Steiger, A., & Dresler, M. (2015) · Scientific Reports · doi:10.1038/srep17159 · Cited by 30
Marighetto, A., Micheau, J., & Jaffard, R. (1994) · Pharmacology Biochemistry and Behavior · doi:10.1016/0091-3057(94)90089-2 · Cited by 30
The computational power of the human brain
Gebicke‐Haerter, P. J. (2023) · Frontiers in Cellular Neuroscience · doi:10.3389/fncel.2023.1220030 · Cited by 35
Shin, J. D., & Jadhav, S. P. (2024) · Current Biology · doi:10.1016/j.cub.2024.05.018 · Cited by 29
Vargas, R., Þorsteinsson, H., & Karlsson, K. Æ. (2011) · Behavioural Brain Research · doi:10.1016/j.bbr.2011.12.025 · Cited by 31
Hippocampal-neocortical interactions sharpen over time for predictive actions
Hindy, N. C., Avery, E. W., & Turk‐Browne, N. B. (2019) · Nature Communications · doi:10.1038/s41467-019-12016-9 · Cited by 30
Stress enhances hippocampal neuronal synchrony and alters ripple-spike interaction
Tomar, A., Polygalov, D., Chattarji, S., & McHugh, T. J. (2021) · Neurobiology of Stress · doi:10.1016/j.ynstr.2021.100327 · Cited by 29
He, L.-J., Caudill, M. S., Jing, J., Wang, W., Sun, Y., Tang, J., Jiang, X., & Zoghbi, H. Y. (2022) · Neuron · doi:10.1016/j.neuron.2022.02.014 · Cited by 32
Translational approaches to influence sleep and arousal
Brown, R. E., Spratt, T. J., & Kaplan, G. B. (2022) · Brain Research Bulletin · doi:10.1016/j.brainresbull.2022.05.002 · Cited by 31
Is There a Relation between EEG-Slow Waves and Memory Dysfunction in Epilepsy? A Critical Appraisal
Höller, Y., & Trinka, E. (2015) · Frontiers in Human Neuroscience · doi:10.3389/fnhum.2015.00341 · Cited by 29
Çalışkan, G., Schulz, S., Gruber, D., Behr, J., Heinemann, U., & Gerevich, Z. (2014) · European Journal of Neuroscience · doi:10.1111/ejn.12750 · Cited by 31
Characterization of seizure-like events recorded in vivo in a mouse model of Rett syndrome
Colic, S., Wither, R. G., Zhang, L., Eubanks, J. H., & Bardakjian, B. L. (2013) · Neural Networks · doi:10.1016/j.neunet.2013.05.002 · Cited by 29
Metadata
- Authors
- Buzsáki, G.
- Affiliations
- University of California System (US)
- Corresponding author
- Buzsáki, G.
- ORCID
- Buzsáki, G.
- Venue
- Neuroscience
- Publisher
- Elsevier BV
- Published
- 1989-01
- Volume
- 31
- Issue
- 3
- Pages
- 551-570
- ISSN
- 0306-4522 (ISSN-L)
- OpenAlex
- W2020272049
- Cited by
- 1,709
- References
- 160
- Citations by year
- 2026: 43 · 2025: 63 · 2024: 74 · 2023: 86 · 2022: 64 · 2021: 67 · 2020: 65 · 2019: 86 · 2018: 73 · 2017: 70 · 2016: 56 · 2015: 64 · 2014: 80 · 2013: 66 · 2012: 53
- FWCI
- 2.53
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Keywords
- memory trace formation, hippocampus, sharp-wave ripples, CA3 pyramidal cells, CA1, granule cells, theta oscillations, population bursts, long-term potentiation, synaptic plasticity, slow-wave sleep, recurrent excitation, two-stage model
- MeSH terms
- Animals, Hippocampus, Memory, Models, Neurological, Neuronal Plasticity, Rats
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review