The DOI matches its Crossref record; 52 of the 53 references it cites were found in a registry or an index.
New Experiences Enhance Coordinated Neural Activity in the Hippocampus
Open accessAbstract
The acquisition of new memories for places and events requires synaptic plasticity in the hippocampus, and plasticity depends on temporal coordination among neurons. Spatial activity in the hippocampus is relatively disorganized during the initial exploration of a novel environment, however, and it is unclear how neural activity during the initial stages of learning drives synaptic plasticity. Here we show that pairs of CA1 cells that represent overlapping novel locations are initially more coactive and more precisely coordinated than are cells representing overlapping familiar locations. This increased coordination occurs specifically during brief, high-frequency events (HFEs) in the local field potential that are similar to ripples and is not associated with better coordination of place-specific neural activity outside of HFEs. As novel locations become more familiar, correlations between cell pairs decrease. Thus, hippocampal neural activity during learning has a unique structure that is well suited to induce synaptic plasticity and to allow for rapid storage of new memories.
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
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?
The source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“They also occur conjointly with SW-Rs that are observed at somewhat lower rates during wakefulness than during SWS (159,191,870).”
From About Sleep's Role in Memory (2013) · cites this paper as [191]
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.
In the citing paper
“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 [191]
Experimental — accuracy not yet measuredThe cited source says what the claim attributes to it.
In the citing paper
“Wake reactivations were found to be particularly precise when the animal explores a novel environment, and the precision decreases when the animal becomes more and more familiar with the spatial task (191).”
From About Sleep's Role in Memory (2013) · cites this paper as [191]
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
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
indicated, N. A. (1950) · Journal of Consulting Psychology · doi:10.1037/h0049612 · Cited by 6,984
Place navigation impaired in rats with hippocampal lesions
Morris, R. G. M., Garrud, P., Rawlins, J. N. P., & O'Keefe, J. (1982) · Nature · doi:10.1038/297681a0 · Cited by 6,340
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
The hippocampus as a cognitive map
Passingham, R. E. (1979) · Neuroscience · doi:10.1016/0306-4522(79)90015-0 · Cited by 5,128
Bi, G.-Q., & Poo, M.-M. (1998) · The Journal of Neuroscience · doi:10.1523/jneurosci.18-24-10464.1998 · Cited by 4,744
Handbook of Parametric and Nonparametric Statistical Procedures
(2004) · Technometrics · doi:10.1198/tech.2004.s209 · Cited by 4,665
Paxinos, G. (1985) · Cited by 3,715
Morris, R. G. M., Anderson, E., Lynch, G. S., & Baudry, M. (1986) · Nature · doi:10.1038/319774a0 · Cited by 3,640
Flagged first, then by citations
1 of the 53 references couldn’t be matched to a known paper.
Cited by
Sorted by citations
Items 101–200 of 285
Stella, F., & Treves, A. (2011) · Neural Plasticity · doi:10.1155/2011/683961 · Cited by 59
Brain Rhythms During Sleep and Memory Consolidation: Neurobiological Insights
Marshall, L., Cross, N. E., Binder, S., & Dang‐Vu, T. T. (2019) · Physiology · doi:10.1152/physiol.00004.2019 · Cited by 52
Actin remodeling, the synaptic tag and the maintenance of synaptic plasticity
Pinho, J., Marcut, C. F., & Fonseca, R. (2020) · IUBMB Life · doi:10.1002/iub.2261 · Cited by 50
Wittkuhn, L., Chien, S., Hall-McMaster, S., & Schuck, N. W. (2021) · Neuroscience & Biobehavioral Reviews · doi:10.1016/j.neubiorev.2021.08.002 · Cited by 49
Carr, M. F., & Frank, L. M. (2012) · Current Opinion in Neurobiology · doi:10.1016/j.conb.2012.03.007 · Cited by 49
Self-citationResting state networks and memory consolidation
Albert, N. B., Robertson, E. M., Mehta, P. R., & Miall, R. C. (2009) · Communicative & Integrative Biology · doi:10.4161/cib.2.6.9612 · Cited by 46
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-citationImpaired associative learning in schizophrenia: behavioral and computational studies
Diwadkar, V. A., Flaugher, B., Jones, T., Zalányi, L., Ujfalussy, B. B., Keshavan, M. S., & Érdi, P. (2008) · Cognitive Neurodynamics · doi:10.1007/s11571-008-9054-0 · Cited by 50
The role of experience in prioritizing hippocampal replay
Gorriz, M. H., Takigawa, M., & Bendor, D. (2023) · Nature Communications · doi:10.1038/s41467-023-43939-z · Cited by 59
A bird-brain view of episodic memory
Rattenborg, N. C., & Martinez-Gonzalez, D. (2011) · Behavioural Brain Research · doi:10.1016/j.bbr.2011.03.030 · Cited by 45
Zhao, R. J., Fowler, S., Chiang, A. C. A., Ji, D., & Jankowsky, J. L. (2014) · Hippocampus · doi:10.1002/hipo.22283 · Cited by 42
Reorganization of CA1 dendritic dynamics by hippocampal sharp-wave ripples during learning
Rolotti, S. V., Blockus, H., Sparks, F. T., Priestley, J. B., & Losonczy, A. (2022) · Neuron · doi:10.1016/j.neuron.2021.12.017 · Cited by 50
Using the Structure of Inhibitory Networks to Unravel Mechanisms of Spatiotemporal Patterning
Assisi, C. G., Stopfer, M., & Bazhenov, M. (2011) · Neuron · doi:10.1016/j.neuron.2010.12.019 · Cited by 40
Episodic-like memory trace in awake replay of hippocampal place cell activity sequences
TAKAHASHI, S. Y. (2015) · eLife · doi:10.7554/elife.08105 · Cited by 42
Titiz, A. S., Mahoney, J. M., Testorf, M. E., Holmes, G. L., & Scott, R. C. (2014) · Hippocampus · doi:10.1002/hipo.22297 · Cited by 40
Neural Activity Patterns Underlying Spatial Coding in the Hippocampus
Sosa, M., Gillespie, A. K., & Frank, L. M. (2016) · Current topics in behavioral neurosciences · doi:10.1007/7854_2016_462 · Cited by 43
Self-citationThe 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
Learning predictive cognitive maps with spiking neurons during behavior and replays
Bono, J., Zannone, S., Pedrosa, V., & Clopath, C. (2023) · eLife · doi:10.7554/elife.80671 · Cited by 47
Frost, N. A., Haggart, A., & Sohal, V. S. (2021) · PLoS Biology · doi:10.1371/journal.pbio.3001235 · Cited by 40
Theta phase precession beyond the hippocampus
Malhotra, S., Cross, R. W. A., & van der Meer, M. A. A. (2012) · Reviews in the Neurosciences · doi:10.1515/revneuro-2011-0064 · Cited by 43
Replay-triggered brain-wide activation in humans
Huang, Q., Xiao, Z., Yu, Q., Luo, Y., Xu, J., Qu, Y., Dolan, R. J., Behrens, T. E. J., & Liu, Y. (2024) · Nature Communications · doi:10.1038/s41467-024-51582-5 · Cited by 45
Physiological Signature of Memory Age in the Prefrontal-Hippocampal Circuit
Makino, Y., Polygalov, D., Bolaños, F., Benucci, A., & McHugh, T. J. (2019) · Cell Reports · doi:10.1016/j.celrep.2019.11.075 · Cited by 38
Morrone, M. D. S., Schnorr, C. E., Behr, G. A., Gasparotto, J., Bortolin, R. C., Moresco, K. S., Bittencourt, L. D. S., Zanotto‐Filho, A., Gelain, D. P., & Moreira, J. C. F. (2016) · The Journal of Nutritional Biochemistry · doi:10.1016/j.jnutbio.2016.03.010 · 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
Franco, R. R., de Almeida Takata, L., Chagas, K., Justino, A. B., Saraiva, A. L., Goulart, L. R., de Melo Rodrigues Ávila, V., Otoni, W. C., Espindola, F. S., & da Silva, C. R. (2021) · Journal of Ethnopharmacology · doi:10.1016/j.jep.2020.113599 · 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-citationJones, 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
Self-citationBattaglia, F. P., & Pennartz, C. M. A. (2011) · Frontiers in Computational Neuroscience · doi:10.3389/fncom.2011.00036 · Cited by 38
Distinct effects of reward and navigation history on hippocampal forward and reverse replays
Bhattarai, B., Lee, J. W., & Jung, M. W. (2019) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1912533117 · Cited by 37
Retuning of hippocampal representations during sleep
Maboudi, K., Giri, B. K., Miyawaki, H., Kemere, C. T., & Diba, K. (2024) · Nature · doi:10.1038/s41586-024-07397-x · Cited by 33
Hwaun, E., & Colgin, L. L. (2019) · Hippocampus · doi:10.1002/hipo.23090 · Cited by 35
Synaptic learning rules for sequence learning
Reifenstein, E. T., Khalid, I. B., & Kempter, R. (2021) · eLife · doi:10.7554/elife.67171 · Cited by 33
Behr, G. A., Schnorr, C. E., Pires, A. S., da Motta, L. L., Frey, B. N., & Moreira, J. C. F. (2012) · Cell Biology and Toxicology · doi:10.1007/s10565-012-9226-x · Cited by 32
Ciliberti, D., Michon, F., & Kloosterman, F. (2018) · eLife · doi:10.7554/elife.36275 · Cited by 34
Dynamic Hippocampal CA2 Responses to Contextual Spatial Novelty
Bhasin, G., & Nair, I. R. (2022) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2022.923911 · Cited by 31
Twarkowski, H., Steininger, V., Kim, M. J., & Sahay, A. (2022) · eLife · doi:10.7554/elife.70586 · Cited by 34
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
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
Moresco, K. S., Silveira, A., Schnorr, C. E., Zeidán‐Chuliá, F., Bortolin, R. C., Bittencourt, L. D. S., Mingori, M. R., Heimfarth, L., Rabelo, T. K., Morrone, M. D. S., et al. (2017) · Biomedicines · doi:10.3390/biomedicines5030053 · Cited by 28
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
Adaptive tracking of human ECoG network dynamics
Ahmadipour, P., Yang, Y., Chang, E. F., & Shanechi, M. M. (2020) · Journal of Neural Engineering · doi:10.1088/1741-2552/abae42 · Cited by 30
Hindsight Experience Replay With Experience Ranking
Nguyen, V., La, H. M., & Deans, M. C. (2019) · IEEE International Conference on Development and Learning (ICDL) · doi:10.1109/devlrn.2019.8850705 · Cited by 28
Robust design of polyrhythmic neural circuits
Schwabedal, J. T. C., NEIMAN, A. B., & SHILNIKOV, A. L. (2014) · Physical Review E · doi:10.1103/physreve.90.022715 · Cited by 26
Hargreaves, E. L., Mattfeld, A. T., Stark, C. E. L., & SUZUKI, W. A. (2012) · Neuron · doi:10.1016/j.neuron.2012.03.029 · Cited by 26
Shin, J. D., & Jadhav, S. P. (2024) · Current Biology · doi:10.1016/j.cub.2024.05.018 · Cited by 29
Multiple-Timescale Representations of Space: Linking Memory to Navigation
Tang, W., & Jadhav, S. P. (2021) · Annual Review of Neuroscience · doi:10.1146/annurev-neuro-111020-084824 · Cited by 24
Halász, P., Ujma, P. P., Fabó, D., Bódizs, R., & Szűcs, A. (2019) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2019.01.003 · Cited by 21
Diekmann, N., & Cheng, S. (2023) · eLife · doi:10.7554/elife.82301 · Cited by 27
Self-citationCueing vocabulary in awake subjects during the day has no effect on memory
Schreiner, T., & Rasch, B. (2015) · Somnologie - Schlafforschung und Schlafmedizin · doi:10.1007/s11818-015-0005-9 · Cited by 21
Dynamic Hippocampal Circuits Support Learning- and Memory-Guided BehaviorsPreprint
Anderson, E. B., Grossrubatscher, I., & Frank, L. M. (2014) · Cold Spring Harbor Symposia on Quantitative Biology · doi:10.1101/sqb.2014.79.024760 · Cited by 22
Self-citationFunane, T., Jun, H., Sutoko, S., Saido, T. C., Kandori, A., & Igarashi, K. M. (2022) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2022.955178 · Cited by 19
Yu, J. Y., & Frank, L. M. (2021) · PLoS Biology · doi:10.1371/journal.pbio.3001393 · Cited by 23
Self-citationPaulson, A. L., Zhang, L., Prichard, A., & Singer, A. C. (2025) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.2419364122 · Cited by 20
Sleep stages antagonistically modulate reactivation drift
Bollmann, L., Baracskay, P., Stella, F., & Csicsvari, J. (2025) · Neuron · doi:10.1016/j.neuron.2025.02.025 · Cited by 21
Schmidt, B., & Redish, A. D. (2021) · Hippocampus · doi:10.1002/hipo.23367 · Cited by 20
Mechanisms of neural organization and rhythmogenesis during hippocampal and cortical ripples
McKenzie, S., Nitzan, N., & English, D. F. (2020) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2019.0237 · Cited by 16
Neuregulin 1 and ErbB4 Kinase Actively Regulate Sharp Wave Ripples in the Hippocampus
Robinson, H. L., Tan, Z., Santiago-Marrero, I. G., Arzola, E. P., Dong, T. V., Xiong, W., & Mei, L. (2021) · Journal of Neuroscience · doi:10.1523/jneurosci.1022-21.2021 · Cited by 16
Rethinking the hippocampal cognitive map as a meta-learning computational module
Ambrogioni, L., & Ólafsdóttir, H. F. (2023) · Trends in Cognitive Sciences · doi:10.1016/j.tics.2023.05.011 · Cited by 16
Dutta, S., Ackermann, E., & Kemere, C. T. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aae90e · Cited by 19
Skilling, Q. M., Eniwaye, B., Clawson, B. C., Shaver, J. J., Ognjanovski, N., Aton, S. J., & Żochowski, M. (2021) · PLoS Computational Biology · doi:10.1371/journal.pcbi.1009424 · Cited by 16
Remembering rewarding futures: A simulation‐selection model of the hippocampus
Jung, M. W., Lee, H., Jeong, Y., Lee, J. W., & Lee, I. (2018) · Hippocampus · doi:10.1002/hipo.23023 · Cited by 16
Progress and issues in second-order analysis of hippocampal replay
van der Meer, M. A. A., Kemere, C. T., & Diba, K. (2020) · Philosophical Transactions of the Royal Society B Biological Sciences · doi:10.1098/rstb.2019.0238 · Cited by 22
Calvin, O. L., Erickson, M. T., Walters, C. J., & Redish, A. D. (2025) · PLoS Biology · doi:10.1371/journal.pbio.3002954 · Cited by 24
Vadakkan, K. I. (2011) · Frontiers in Neuroengineering · doi:10.3389/fneng.2011.00008 · Cited by 16
Altered grid-like coding in early blind people
Sigismondi, F., Xu, Y., Silvestri, M., & Bottini, R. (2024) · Nature Communications · doi:10.1038/s41467-024-47747-x · Cited by 14
Pu, Y., Cornwell, B. R., Cheyne, D., & Johnson, B. W. (2018) · NeuroImage · doi:10.1016/j.neuroimage.2018.05.029 · Cited by 14
Awake replay: off the clock but on the job
van der Meer, M. A. A., & Bendor, D. (2025) · Trends in Neurosciences · doi:10.1016/j.tins.2025.02.006 · Cited by 19
Yagi, S., Igata, H., Shikano, Y., Aoki, Y., Sasaki, T., & Ikegaya, Y. (2018) · Hippocampus · doi:10.1002/hipo.22846 · Cited by 13
Refinement and Reactivation of a Taste-Responsive Hippocampal Network
Herzog, L. E., Katz, D. B., & Jadhav, S. P. (2020) · Current Biology · doi:10.1016/j.cub.2020.01.063 · Cited by 14
Assisi, C. G., & Bazhenov, M. (2012) · Frontiers in Neuroengineering · doi:10.3389/fneng.2012.00007 · Cited by 13
Zhang, S., Guo, Z., Xu, Y., Mi, J., Liu, J., Li, Z., Xie, X., & Xu, G. (2024) · Frontiers in Neuroscience · doi:10.3389/fnins.2024.1313639 · Cited by 13
Replay without sharp wave ripples in a spatial memory task
Widloski, J., & Foster, D. J. (2025) · Nature Communications · doi:10.1038/s41467-025-65181-5 · Cited by 15
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-citationLacosamide and Levetiracetam Have No Effect on Sharp-Wave Ripple Rate
Kudláček, J., Chvojka, J., Pošusta, A., Kovacova, L., Hong, S. B., Weiss, S. A., Volna, K., Marusič, P., Otáhal, J., & Jiruška, P. (2017) · Frontiers in Neurology · doi:10.3389/fneur.2017.00687 · Cited by 12
The Ins and Outs of Hippocampal Circuits
Tonegawa, S., & McHugh, T. J. (2008) · Neuron · doi:10.1016/j.neuron.2008.01.005 · Cited by 12
Cheng, S., & Werning, M. (2013) · Behavioral and Brain Sciences · doi:10.1017/s0140525x13001234 · Cited by 12
Self-citationNeuronal sequences during theta rely on behavior-dependent spatial maps
Parra-Barrero, E., Diba, K., & Cheng, S. (2021) · eLife · doi:10.7554/elife.70296 · Cited by 12
Self-citationReactivating Memories for Consolidation
Jadhav, S. P., & Frank, L. M. (2009) · Neuron · doi:10.1016/j.neuron.2009.06.002 · Cited by 12
Self-citationBozic, I., Rusterholz, T., Mikutta, C. A., Rio‐Bermudez, C. D., Nissen, C., & Adamantidis, A. (2022) · European Journal of Neuroscience · doi:10.1111/ejn.15853 · Cited by 10
The Structure of Hippocampal CA1 Interactions Optimizes Spatial Coding across Experience
Nardin, M., Csicsvari, J., Tkačik, G., & Savin, C. (2023) · Journal of Neuroscience · doi:10.1523/jneurosci.0194-23.2023 · Cited by 11
Post-learning replay of hippocampal-striatal activity is biased by reward-prediction signals
Roscow, E. L., Howe, T., Lepora, N. F., & Jones, M. W. (2025) · Nature Communications · doi:10.1038/s41467-025-65354-2 · Cited by 10
Behr, G. A., da Motta, L. L., de Oliveira, M. R., Oliveira, M. W. S., Hoff, M. L. M., Silvestrin, R. B., & Moreira, J. C. F. (2008) · Behavioural Brain Research · doi:10.1016/j.bbr.2008.11.047 · Cited by 9
Human hippocampal ripples align new experiences with a grid-like schema
Xiao, Z., Wang, X., Zhang, J., Ou, J., He, L., Qu, Y., Hu, X., Behrens, T. E. J., & Liu, Y. (2025) · Neuron · doi:10.1016/j.neuron.2025.07.028 · Cited by 14
Noema: Hardware-Efficient Template Matching for Neural Population Pattern Detection
Abdelhadi, A., Sha, E., Bannon, C., Steenland, H. W., & Moshovos, A. (2021) · IEEE/ACM International Symposium on Microarchitecture (MICRO) · doi:10.1145/3466752.3480121 · Cited by 8
Howard, M. D., Skorheim, S. W., & Pilly, P. K. (2022) · Frontiers in Systems Neuroscience · doi:10.3389/fnsys.2022.972235 · Cited by 10
Automatic Recall Machines: Internal Replay, Continual Learning and the BrainPreprint
Ji, X., Henriques, J. F., Tuytelaars, T., & Vedaldi, A. (2020) · Oxford University Research Archive (ORA) (University of Oxford) · doi:10.48550/arxiv.2006.12323 · Cited by 14
Давидович, Ц. В. (2014) · Mathematical Biology and Bioinformatics · doi:10.17537/2014.9.216 · Cited by 6
Regular cycling between representations of alternatives in the hippocampusPreprint
Kay, K., Chung, J. E., Sosa, M., Schor, J. S., Karlsson, M. P., Larkin, M. C., Liu, D. F., & Frank, L. M. (2019) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/528976 · Cited by 7
Self-citationGrosmark, A., Sparks, F. T., Davis, M. J., & Losonczy, A. (2020) · bioRxiv (Cold Spring Harbor Laboratory) · doi:10.1101/2020.08.20.259879 · Cited by 6
A unifying account of replay as context-driven memory reactivation
Zhou, Z., Kahana, M. J., & Schapiro, A. C. (2026) · eLife · doi:10.1101/2023.03.22.533833 · Cited by 7
Cheng, R. (2009) · The Chinese Journal of Physiology · doi:10.4077/cjp.2009.amh085 · Cited by 5
A Variable Clock Underlies Internally Generated Hippocampal Sequences
Deng, X., Chen, S., Sosa, M., Karlsson, M. P., Wei, X.-X., & Frank, L. M. (2022) · Journal of Neuroscience · doi:10.1523/jneurosci.1120-21.2022 · Cited by 5
Self-citationIs Episodic Memory a Natural Kind? - A Defense of the Sequence Analysis
Werning, M., & Cheng, S. (2014) · doi:10.13140/2.1.3760.5123 · Cited by 5
Self-citationBeyond replay: Introduction to the special issue on hippocampal replay
Redish, A. D. (2019) · Hippocampus · doi:10.1002/hipo.23184 · Cited by 5
A unifying account of replay as context-driven memory reactivationPreprint
Zhou, Z., Kahana, M. J., & Schapiro, A. C. (2024) · eLife · doi:10.7554/elife.99931.1 · Cited by 5
Kajiya, R., Miyawaki, H., Nakahara, H., & Mizuseki, K. (2025) · eneuro · doi:10.1523/eneuro.0575-24.2025 · Cited by 4
Zheng, N., Luo, S., Zhang, X., Hu, L., Huang, M., Li, M., McCaig, C., Ding, Y., & Lang, B. (2024) · Journal of Advanced Research · doi:10.1016/j.jare.2024.08.041 · Cited by 4
Ripple contributions to human memory: making the spiking content count
Reithler, J., Sundby, K. K., & Zaghloul, K. A. (2025) · Nature reviews. Neuroscience · doi:10.1038/s41583-025-00971-w · Cited by 4
Cortical and hippocampal dynamics under logical fragmentation of environmental space
Shelley, L. E., Barr, C. I., & Nitz, D. A. (2022) · Neurobiology of Learning and Memory · doi:10.1016/j.nlm.2022.107597 · Cited by 4
Hippocampal place code plasticity in CA1 requires postsynaptic membrane fusion
Plitt, M. H., Kaganovsky, K., Say, E., Sosa, M., Südhof, T. C., & Giocomo, L. M. (2026) · Neuron · doi:10.1016/j.neuron.2026.03.006 · Cited by 7
Metadata
- Authors
- Cheng, S., & Frank, L. M.
- Affiliations
- University of California, San Francisco (US)
- Corresponding author
- Frank, Loren M.
- Venue
- Neuron
- Publisher
- Elsevier BV
- Published
- 2008-01
- Volume
- 57
- Issue
- 2
- Pages
- 303-313
- ISSN
- 0896-6273 (ISSN-L)
- PMC
- PMC2244590
- OpenAlex
- W2143853187
- Cited by
- 286
- References
- 53
- Citations by year
- 2026: 12 · 2025: 25 · 2024: 14 · 2023: 18 · 2022: 14 · 2021: 19 · 2020: 18 · 2019: 24 · 2018: 23 · 2017: 13 · 2016: 14 · 2015: 11 · 2014: 22 · 2013: 10 · 2012: 11
- FWCI
- 6.57
- 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, 2055 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)
- Funders
- McKnight Foundation
- National Institutes of Health (MH080283)
- National Institute of Mental Health (R01MH080283, MH080283, P50MH077970, MH059733, MH 077970, R01MH059733)
- Topics
- Life Sciences › Neuroscience › Cognitive Neuroscience › Memory and Neural Mechanisms
- Life Sciences › Neuroscience › Cognitive Neuroscience › Neural dynamics and brain function
- Life Sciences › Neuroscience › Cellular and Molecular Neuroscience › Neuroscience and Neuropharmacology Research
- Keywords
- hippocampus, CA1, synaptic plasticity, neural coordination, place learning, novel environment, ripples, local field potentials, spatial activity, memory encoding
- MeSH terms
- Action Potentials, Animals, Behavior, Animal, Dose-Response Relationship, Radiation, Electric Stimulation, Hippocampus, Male, Models, Neurological, Nerve Net, Neuronal Plasticity, Neurons, Space Perception, Spatial Behavior, Statistics as Topic, Time Factors, Nonlinear Dynamics, Maze Learning, Rats, Long-Evans, 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