The DOI matches its Crossref record; 256 of the 256 references it cites were found in a registry or an index.
The hippocampal sharp wave-ripple in memory retrieval for immediate use and consolidation
Open accessAbstract
Various cognitive functions have long been known to require the hippocampus. Recently, progress has been made in identifying the hippocampal neural activity patterns that implement these functions. One such pattern is the sharp wave-ripple (SWR), an event associated with highly synchronous neural firing in the hippocampus and modulation of neural activity in distributed brain regions. Hippocampal spiking during SWRs can represent past or potential future experience, and SWR-related interventions can alter subsequent memory performance. These findings and others suggest that SWRs support both memory consolidation and memory retrieval for processes such as decision-making. In addition, studies have identified distinct types of SWR based on representational content, behavioural state and physiological features. These various findings regarding SWRs suggest that different SWR types correspond to different cognitive functions, such as retrieval and consolidation. Here, we introduce another possibility - that a single SWR may support more than one cognitive function. Taking into account classic psychological theories and recent molecular results that suggest that retrieval and consolidation share mechanisms, we propose that the SWR mediates the retrieval of stored representations that can be utilized immediately by downstream circuits in decision-making, planning, recollection and/or imagination while simultaneously initiating memory consolidation processes.
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Items 201–256 of 256
Coordinated 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
Hippocampal–cortical interactions and the dynamics of memory trace reactivation
Schwindel, C. D., & McNaughton, B. L. (2011) · Progress in brain research · doi:10.1016/b978-0-444-53839-0.00011-9 · Cited by 107
Diversity of sharp-wave–ripple LFP signatures reveals differentiated brain-wide dynamical events
Ramírez-Villegas, J. F., Logothetis, N. K., & Besserve, M. (2015) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1518257112 · Cited by 105
Replay 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
Recognition memory signals in the macaque hippocampus
Jutras, M. J., & Buffalo, E. A. (2009) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.0908378107 · Cited by 100
Hippocampal sharp-wave ripples in awake mice are entrained by respiration
Liu, Y., McAfee, S. S., & Heck, D. H. (2017) · Scientific Reports · doi:10.1038/s41598-017-09511-8 · Cited by 100
Witton, 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
Sequence Reactivation in the Hippocampus Is Impaired in Aged Rats
Gerrard, J. L., Burke, S. N., McNaughton, B. L., & Barnes, C. A. (2008) · The Journal of Neuroscience · doi:10.1523/jneurosci.1265-08.2008 · Cited by 97
Learning-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
Straube, B. (2012) · Behavioral and Brain Functions · doi:10.1186/1744-9081-8-35 · Cited by 96
Selection 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
Laminar organization of encoding and memory reactivation in the parietal cortex
Wilber, A. A., Skelin, I., Wu, W., & McNaughton, B. L. (2017) · Neuron · doi:10.1016/j.neuron.2017.08.033 · Cited by 95
Nadel, L., & Bohbot, V. D. (2001) · Hippocampus · doi:10.1002/1098-1063(2001)11:1 · Cited by 92
Forgotten ideas, neglected pioneers: Richard Semon and the story of memory
(2002) · Choice Reviews Online · doi:10.5860/choice.39-5492 · Cited by 89
Sharp Wave Ripples during Visual Exploration in the Primate Hippocampus
Leonard, T. K., Mikkila, J. M., Eskandar, E. N., Gerrard, J. L., Kaping, D., Patel, S. R., Womelsdorf, T., & Hoffman, K. L. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.0864-15.2015 · Cited by 82
Nokia, M. S., Mikkonen, J. E., Penttonen, M., & Wikgren, J. (2012) · Frontiers in Behavioral Neuroscience · doi:10.3389/fnbeh.2012.00084 · Cited by 79
Different mechanisms of ripple‐like oscillations in the human epileptic subiculum
Alvarado‐Rojas, C., Huberfeld, G., Baulac, M., Clémenceau, S., Charpier, S., Miles, R., de la Prida, L. M., & Quyen, M. L. V. (2014) · Annals of Neurology · doi:10.1002/ana.24324 · Cited by 78
Trial Outcome and Associative Learning Signals in the Monkey Hippocampus
Wirth, S., Avşar, E., Chiu, C. C., Sharma, V., Smith, A. C., Brown, E. N., & SUZUKI, W. A. (2009) · Neuron · doi:10.1016/j.neuron.2009.01.012 · Cited by 75
Molecular Mechanisms of Memory Retrieval
Szapiro, G., Galante, J., Barros, D. M., de Stein, M. L., Vianna, M. R. M. R., Izquierdo, L. A., Izquierdo, I., & Medina, J. H. (2002) · Neurochemical Research · doi:10.1023/a:1021648405461 · Cited by 74
Specific hippocampal representations are linked to generalized cortical representations in memory
Yu, J. Y., Liu, D. F., Loback, A., Grossrubatscher, I., & Frank, L. M. (2018) · Nature Communications · doi:10.1038/s41467-018-04498-w · Cited by 72
Self-citationTang, W., & Jadhav, S. P. (2018) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2018.01.002 · Cited by 69
Three brain states in the hippocampus and cortex
Kay, K., & Frank, L. M. (2018) · Hippocampus · doi:10.1002/hipo.22956 · Cited by 69
Self-citationSharp-Wave Ripples in Primates Are Enhanced near Remembered Visual Objects
Leonard, T. K., & Hoffman, K. L. (2016) · Current Biology · doi:10.1016/j.cub.2016.11.027 · Cited by 65
Valdés, J. L., McNaughton, B. L., & Fellous, J. (2015) · Journal of Neurophysiology · doi:10.1152/jn.00758.2014 · Cited by 61
Nicole, O., Hadžibegović, S., Gajda, J., Bontempi, B., Bem, T., & Meyrand, P. (2016) · Scientific Reports · doi:10.1038/srep22728 · Cited by 61
Operant Conditioning of Synaptic and Spiking Activity Patterns in Single Hippocampal Neurons
Ishikawa, D., Matsumoto, N., Sakaguchi, T., Matsuki, N., & Ikegaya, Y. (2014) · Journal of Neuroscience · doi:10.1523/jneurosci.5298-13.2014 · Cited by 55
Memory Retrieval in Mice and MenPreprint
Ben-Yakov, A., Dudai, Y., & Mayford, M. R. (2015) · Cold Spring Harbor Perspectives in Biology · doi:10.1101/cshperspect.a021790 · Cited by 54
Wiegand, J. L., Gray, D. T., Schimanski, L. A., Lipa, P., Barnes, C. A., & Cowen, S. L. (2016) · Journal of Neuroscience · doi:10.1523/jneurosci.3069-15.2016 · Cited by 53
Progressive Functional Impairments of Hippocampal Neurons in a Tauopathy Mouse Model
Ciupek, S. M., Cheng, J., Ali, Y., Lu, H., & Ji, D. (2015) · Journal of Neuroscience · doi:10.1523/jneurosci.3130-14.2015 · Cited by 49
Yu, J. Y., Kay, K., Liu, D. F., Grossrubatscher, I., Loback, A., Sosa, M., Chung, J. E., Karlsson, M. P., Larkin, M. C., & Frank, L. M. (2017) · eLife · doi:10.7554/elife.27621 · Cited by 48
Self-citationRemondes, M., & Wilson, M. A. (2015) · Cell Reports · doi:10.1016/j.celrep.2015.10.005 · Cited by 46
Falcon: a highly flexible open-source software for closed-loop neuroscience
Ciliberti, D., & Kloosterman, F. (2017) · Journal of Neural Engineering · doi:10.1088/1741-2552/aa7526 · Cited by 46
Suzuki, S. S., & Smith, G. K. (1988) · Electroencephalography and Clinical Neurophysiology · doi:10.1016/0013-4694(88)90198-8 · Cited by 45
The transformation of multi-sensory experiences into memories during sleep
Rothschild, G. (2018) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2018.03.019 · Cited by 45
Kovács, K. A., O’Neill, J., Schoenenberger, P., Penttonen, M., Guerrero, D. K. R., & Csicsvari, J. (2016) · PLoS ONE · doi:10.1371/journal.pone.0164675 · Cited by 41
Nokia, M. S., Penttonen, M., & Wikgren, J. (2010) · Journal of Neuroscience · doi:10.1523/jneurosci.2165-10.2010 · Cited by 40
Neural-Event-Triggered fMRI of large-scale neural networks
Logothetis, N. K. (2014) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2014.11.009 · Cited by 34
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
Self-citationSynchronized 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
Avoiding Catastrophic Forgetting
Hasselmo, M. E. (2017) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2017.04.001 · Cited by 32
Chung, J. E., Joo, H. R., Fan, J. L., et al. (2018) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/242693 · Cited by 32
Self-citationVargas, R., Þorsteinsson, H., & Karlsson, K. Æ. (2011) · Behavioural Brain Research · doi:10.1016/j.bbr.2011.12.025 · Cited by 31
Altimus, C. M., Harrold, J. B., Jaaro-Peled, H., Sawa, A., & Foster, D. J. (2015) · Complex Psychiatry · doi:10.1159/000380765 · Cited by 30
[Electric activity of the rhinencephalon during sleep in cats].
Jouvet, M., MICHEL, F., & Courjon, J. (1959) · PubMed · Cited by 29
Closed-Loop Interruption of Hippocampal Ripples through Fornix Stimulation in the Non-Human Primate
Talakoub, O., Gómez-Palacio-Schjetnan, A., Valiante, T. A., Popović, M. R., & Hoffman, K. L. (2016) · Brain stimulation · doi:10.1016/j.brs.2016.07.010 · Cited by 28
Haq, R. U., Anderson, M., Liotta, A., Shafiq, M., Sherkheli, M. A., & Heinemann, U. (2016) · Hippocampus · doi:10.1002/hipo.22665 · Cited by 23
A spindle-like wave in the cat hippocampus: a novel vigilance level-dependent electrical activity
Kanamori, N. (1985) · Brain Research · doi:10.1016/0006-8993(85)90584-0 · Cited by 16
Memory Replay in the Hippocampus
Jadhav, S. P., & Frank, L. M. (2014) · Springer eBooks · doi:10.1007/978-3-7091-1292-2_13 · Cited by 12
Self-citationEguchi, K., & Satoh, T. (1987) · Physiology & Behavior · doi:10.1016/0031-9384(87)90036-9 · Cited by 9
Forgotten Ideas, Neglected Pioneers
Schacter, D. L. (2012) · Psychology Press eBooks · doi:10.4324/9780203720134 · Cited by 9
Dudai, Y., Roediger, H. L., III, & Tulving, E. (2009) · Oxford University Press eBooks · doi:10.1093/acprof:oso/9780195310443.003.0001 · Cited by 5
Specific hippocampal representations are linked to generalized cortical representations in memoryPreprint
Yu, J. Y., Liu, D. F., Loback, A., et al. (2017) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/207142 · Cited by 4
Cortico-hippocampal communication by way of parallel parahippocampal-subicular pathways.
Lavenex (2000) · Pure Amsterdam UMC · doi:10.1002/1098-1063(2000)10:4 · Cited by 1
Pritzel, A., Uria, B., Srinivasan, S., Puigdomènech, A., Vinyals, O., Hassabis, D., Wierstra, D., & Blundell, C. (2017) · arXiv · doi:10.48550/arxiv.1703.01988
Flagged first, then by citations
Research works printed but not linked: 3
- Cohen, N. J. & Eichenbaum, H. Memory, Amnesia, and the Hippocampal System (MIT Press, 1993).
- O’Keefe, J. & Nadel, L. The Hippocampus as a Cognitive Map (Oxford Univ. Press, 1978).
- O’Reilly, R. C. & Rudy, J. W. Computational principles of learning in the neocortex and hippocampus. Hippocampus 10, 389–397 (2000). · DOI
Cited by
Sorted by citations
Memory engrams: Recalling the past and imagining the future
Josselyn, S. A., & Tonegawa, S. (2020) · Science · doi:10.1126/science.aaw4325 · Cited by 1,087
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
Enhancing myelin renewal reverses cognitive dysfunction in a murine model of Alzheimer’s disease
Chen, J.-F., Liu, K., Hu, B., Li, R.-R., Xin, W., Chen, H., Wang, F., Chen, L., Li, R.-X., Ren, S.-Y., et al. (2021) · Neuron · doi:10.1016/j.neuron.2021.05.012 · Cited by 346
Constant 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 312
Self-citationCompeting Roles of Slow Oscillations and Delta Waves in Memory Consolidation versus Forgetting
Kim, J., Gulati, T., & Ganguly, K. (2019) · Cell · doi:10.1016/j.cell.2019.08.040 · Cited by 254
Metadata
- Authors
- Joo, H. R., & Frank, L. M.
- Affiliations
- University of California, San Francisco (US)
- Howard Hughes Medical Institute (US)
- Corresponding author
- Joo, Hannah R.
- Frank, Loren M.
- Venue
- Nature Reviews Neuroscience
- Published
- 2018-10-24
- Volume
- 19
- Issue
- 12
- Pages
- 744-757
- ISSN
- 1471-003X (ISSN-L)
- 1471-0048
- PMC
- PMC6794196
- OpenAlex
- W2898268489
- Cited by
- 430
- References
- 256
- Citations by year
- 2026: 50 · 2025: 79 · 2024: 71 · 2023: 56 · 2022: 56 · 2021: 60 · 2020: 35 · 2019: 23
- FWCI
- 3.94
- Type
- journal article
- Language
- en
- Open access
- green
- www.ncbi.nlm.nih.gov
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Nature reviews. Neuroscience (publishedVersion)
- PubMed (publishedVersion)
- PubMed Central (acceptedVersion)
- eScholarship (California Digital Library) (submittedVersion)
- Funders
- Howard Hughes Medical Institute
- National Institutes of Health
- National Institute of Mental Health (R01MH105174, F30MH115582)
- National Institute of General Medical Sciences (T32GM007618)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory Processes and Influences
- Keywords
- hippocampus, memory consolidation, memory retrieval, decision-making, recollection, memory replay
- MeSH terms
- Memory Consolidation, Animals, Hippocampus, Humans, Nerve Net, Mental Recall, Brain Waves
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